The Everis Data Analyst interview guide, interview questions, salary data, and interview experiences.

Everis Data Analyst Interview Guide

Getting ready for an Data Analyst interview at Everis? The Everis Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:
<ul>
<li>Know what skills are necessary for Everis Data Analyst roles.</li>
<li>Gain insights into the Data Analyst interview process at Everis.</li>
<li>Practice real Everis Data Analyst interview questions.</li>
</ul>
Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Everis Data Analyst interview.


Getting ready for an Data Analyst interview at Everis? The Everis Data Analyst interview span across 10 to 12 different question topics. In preparing for the interview:

- Know what skills are necessary for Everis Data Analyst roles.
- Gain insights into the Data Analyst interview process at Everis.
- Practice real Everis Data Analyst interview questions.

Interview Query regularly analyzes interview experience data, and we've used that data to produce this guide, with sample interview questions and an overview of the Everis Data Analyst interview.
        

Overview

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

What Everis Looks for in a Data Analyst

We've gathered this data from parsing thousands of interview experiences sourced from members.

We've gathered this data from parsing thousands of interview experiences sourced from members.

Everis Data Analyst Interview Process

Interview Tips

Let’s say your team at Spotify wants to determine if a recently launched feature, curated playlists, has increased user engagement. However Spotify launched the feature without an A/B test.

How would you measure the effect of curated playlists on user engagement?

How would you establish causal inference to measure the effect of curated playlists on engagement without A/B?

Causal Inference Without A/B

A/B Testing & Experimentation

As part of the financial management in a large corporation, the CFO wants to review the expenses in all departments for the previous financial year (2022).

Write a SQL query to calculate the total expenditure for each department in 2022. Additionally, for comparison purposes, return the average expense across all departments in 2022.

Note: The output should include the department name, the total expense, and the average expense (rounded to 2 decimal places). The data should be sorted in descending order by total expenditure.

<h3>Example:</h3>

Input:

<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>name</td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
<code>expenses</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>department_id</td>
<td>INTEGER</td>
</tr>

<tr>
<td>amount</td>
<td>FLOAT</td>
</tr>

<tr>
<td>date</td>
<td>DATE</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td>department_name</td>
<td>VARCHAR</td>
</tr>

<tr>
<td>total_expense</td>
<td>FLOAT</td>
</tr>

<tr>
<td>average_expense</td>
<td>FLOAT</td>
</tr>
</tbody>
</table>

Calculate total and average expenses for each department.

Department Expenses

Let’s say we’ve just delivered a product recommendation algorithm to a retail client, and it’s performing well on their current data.

How would you make sure this algorithm remains reliable and effective as the client’s customer preferences and product catalog evolve over the next year?

How would you ensure a delivered recommendation algorithm stays reliable as business data and preferences change?

Algorithm Reliability

ML Ops & Training Pipelines

Everis Data Analyst Interview Questions

<div data-field="description" class="jd-description">Job Title: Data Analyst FLSA Status: Exempt Department: North America Environmental Health and Safety Reports to: Director of EHS and Enterprise StrategyFlex Work Eligible! This position qualifies for the Flexible Work Policy. Employees receive 75 workdays annually to work remote! The initial amount of days is prorated for the first year based on start date.  GENERAL DESCRIPTION / PURPOSE: The EHS Data Analyst is responsible for collecting, cleaning, analyzing, and interpreting Environmental Health and Safety (EHS) data to support compliance, performance improvement, and strategic decision-making. This role standardizes and automates EHS dashboards and reporting tools, enabling data-driven insights that enhance workplace safety and operational excellence. ESSENTIAL JOB FUNCTIONS: Data Collection & Analysis <ul> <li>Gather, clean, and validate data from various internal and external sources.</li> <li>Conduct statistical analyses to identify trends, patterns, and anomalies in EHS data.</li> <li>Maintain and enhance systems and databases to improve data quality and accessibility.</li> </ul> Dashboard Development & Reporting <ul> <li>Design, develop, and maintain standardized dashboards and automated reports using tools such as Power BI or Tableau.</li> <li>Monitor EHS metrics (e.g., TRIR, near-miss reports, training completion) and provide regular updates to leadership.</li> <li>Ensure reporting accuracy and consistency across business units.</li> </ul> Insight Communication & Strategy Support <ul> <li>Translate technical data into actionable insights for EHS and cross-functional teams.</li> <li>Present findings in a clear, concise, and non-technical manner to a variety of audiences.</li> <li>Support enterprise initiatives by aligning data insights with strategic safety goals.</li> </ul></div><div data-field="minimumQualification" class="jd-minimumQualification">REQUIRED QUALIFICATIONS: Education: Bachelors degree in statistics, mathematics, computer science, or economics. Experience: 5+ years of experience as a Data Analyst Licenses/Certifications: Google Data Analytics Professional Certificate or the Microsoft Certified: Data Analyst AssociateIn lieu of education 9+ years of equivalent combination of education and experience. Knowledge, Skills, and Abilities: <ul> <li>Database management: knowledge of how to query and retrieve data using SQL</li> <li>Some proficiency in programming languages</li> <li>Strong analytical and critical thinking skills</li> <li>Excellent communication and presentation skills</li> <li>Experience with data visualization tools like Tableau or Power BI</li> </ul> PREFERRED QUALIFICATIONS: Education: Masters degree in statistics, mathematics, computer science, or economics. Experience: 5+ years experience in a similar role. Knowledge, Skills, and Abilities: <ul> <li>Proficiency in data querying.</li> <li>Strong critical thinking and problem-solving skills.</li> <li>Experience with data visualization tools (e.g., Tableau, Power BI).</li> <li>Ability to clearly present technical information to non-technical audiences.</li> <li>Proven record in previous position.</li> <li>Knowledge of Environmental Health and Safety data</li> </ul> WORKING CONDITIONS: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of the role. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions. <ul> <li>Office deskwork, sitting, walking, using phone & computer</li> <li>May lift up to pounds occasionally</li> </ul> Benefits for this role include a comprehensive package with company-sponsored medical, dental, and vision insurance; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; wellness programs; basic life and AD&D insurance; voluntary life insurance; company paid short-term and long-term disability coverage; 401(k) retirement plan including an employer match of 150% up to the first 6% you contribute to the Plan; Employee Assistance Program (EAP); behavioral health support; and leaves of absence. Additional benefits include tuition reimbursement, payroll charity contributions, adoption assistance and optional plans such as legal, critical illness, and hospitalization. Loram determines compensation based on factors such as skills, competencies, education, and/or experience. Certain positions may be eligible for an annual bonus and paid time off in addition to base compensation. Starting pay for the position is between $75,450 - $113,250. Loram is an Equal Opportunity Employer and will make all employment-related decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, national origin, age, disability, marital status, familial status, status with regard to public assistance, membership or activity in a local commission, protected veteran status, or any other status protected by applicable law. Revised April 2025#LI-HYBRID #LI-KK1 </div>

SummaryWe are seeking a detail-oriented and analytical professional to manage Management Information Systems (MIS), generate business insights through data analysis, and monitor performance metrics across functions. The role involves preparing periodic reports, ensuring data accuracy, and supporting management in strategic and operational decision-making. Key ResponsibilitiesMIS Reporting<ul><li>Develop, maintain, and automate MIS reports (daily, weekly, monthly, quarterly).</li><li>Consolidate financial, operational, and business data into dashboards and presentations.</li><li>Ensure accuracy, consistency, and timeliness of all MIS deliverables.</li></ul>Data Analysis & Insights.<ul><li>Collect, clean, and analyze data from multiple internal systems and external sources.</li><li>Perform trend, variance, and root cause analysis on key business KPIs.</li><li>Provide actionable insights to management for business growth, cost control, and efficiency improvements.</li></ul>Performance Monitoring<ul><li>Track business performance against budgets, forecasts, and targets.</li><li>Design and maintain performance scorecards and dashboards for different business functions.</li><li>Highlight risks, opportunities, and performance gaps proactively.</li></ul>Process Improvement & Automation<ul><li>Work with cross-functional teams to streamline data collection and reporting processes.</li><li>Suggest and implement automation opportunities (Excel, Power BI,).</li><li>Standardize templates, processes, and reports for efficiency.</li></ul> Key Competencies/Skillsets<ul><li>Strong analytical and problem-solving skills.</li><li>Proficiency in MS Excel (advanced functions, pivot tables, macros), Power BI preferred.</li><li>Understanding of financial and operational performance metrics.</li><li>Attention to detail with ability to interpret large datasets.</li><li>Good communication and presentation skills.</li><li>Ability to work under tight deadlines and manage multiple priorities.</li></ul> Preferred Education and Experience<ul><li>Graduate/Postgraduate in Commerce, Finance, Economics, Statistics, Mathematics, or Data Analytics.</li><li>3–7 years of relevant experience in MIS, business analysis, or data analytics.</li><li>Experience in financial services / investments / payments preferred.</li></ul>

Company DescriptionREEF transforms facilities into thriving mobility and logistical hubs. Our mission is to be the ecosystem that connects the world to your block. Role DescriptionThis is a full-time, on-site role for a temporary Data Analyst/Processor in Barcelona with a tentative duration of 1 to 3 months. The role involves developing a deep understanding of how the Crunchtime restaurant management software works, running an in-depth data health check on its data, and implementing necessary data cleanup tasks based on the health check's outcome. Additionally, the candidate may be asked to provide support for user tickets related to software issues. Qualifications<ul><li>Analytical skills and data analytics expertise</li><li>Effective communication skills</li><li>Attention to detail and problem-solving abilities</li><li>Experience with API integration, SQL databases, and Python</li><li>Fluency in English is required.</li><li>Experience managing data in food & beverage or restaurant management applications is a plus.</li><li>Experience with AI tools or vibe coding is a plus.</li><li>Experience with data visualization tools is a plus.</li></ul>

Greetings from TATA Consultancy ServicesJob Openings at TCSSkill :Azure Data AnalystExp range :4-10 yearsRole : Permanent RoleJob location :Hyderabad/Pune/IndoreCurrent location : Anywhere In India Pls find the Job Description below. Azure Data Analyst2 Required Technical Skill Set** SQL/COSMOS, MS Office Desired Competencies (Technical/Behavioral Competency)Must-Have1. Good exposure towards Azure services 2. Must have 5+ years of analysis experience 3. Intermediate level proficiency with SQL, specifically well versed with analytical features. 4. Experience with Big Data/Analytics platforms/languages, Hive/Spark and Python/R. 5. Experience with PowerBI or Tableau or other BI platforms to develop reports and dashboards. 6. Excellent communication skills with the ability to distill complex subjects to a wider audience, technical and non-technical. 7. Hands-on to get things done fast and ability to work without continual guidance. 8. Excellent time management skills, attention to detail and ability to prioritize work. 9. Should be able to a. Analyzes complex business problems using data from internal and external sources. b. Analyzes and defines metrics that tie back to business performance and initiatives. c. Identifies and interprets trends and patterns to attribute key business drivers. d. Directly produces datasets and reports for analysis using databases and reporting tools, mapping to business requirements. e. Provides actionable insights to decision-makers to influence strategy and performance.Good-to-Have 1. Hands on experience with Python 2. Understanding of Advance analytics areas 3. Enperience with Telemetry data SN Responsibility of / Expectations from the Role1 Strong Knowledge of Customer level Analytics2 Strong Communication3 Should be proficient working with Excel/PowerBI reports4 Should have good knowledge of market trend in the analytics ar Thanks & RegardsPriyankaTalent Acquisition GroupTata Consultancy Services

About the Company Lauritz Knudsen Electrical and Automation (A unit of Schneider Electric India Pvt. Ltd.) is a pioneering electrical and automation brand with a rich legacy of over 70 years in India. We offer a comprehensive portfolio of low-voltage switchgear, medium-voltage switchgear, automation solutions, software, and services catering to diverse segments, including homes, agriculture, buildings, infrastructure, and industry. L&T Switchgear is now Lauritz Knudsen Electrical & Automation. About the Role The Data Analyst provides expert-level support to business units in managing master data objects. This includes offering guidance, training, and hands-on assistance to ensure data integrity, consistency, and compliance with organizational standards. Responsibilities <ul><li>Expert Guidance & Training </li><li>Deliver training sessions and documentation to business users on master data standards and processes.</li><li>Act as a subject matter expert (SME) for master data objects across various domains (e.g., customer, vendor, material, finance).</li><li>Provide ongoing support and consultation to ensure correct usage and maintenance of master data.</li></ul> <ul><li>Master Data Maintenance </li><li>Execute master data creation, updates, and deletions in line with defined Service Level Agreements (SLAs).</li><li>Ensure high levels of accuracy and completeness in all master data transactions.</li><li>Collaborate with cross-functional teams to validate and verify data inputs.</li></ul> <ul><li>Quality Assurance & Compliance </li><li>Monitor data quality and perform regular audits to identify inconsistencies or errors.</li><li>Implement corrective actions and continuous improvement initiatives.</li><li>Ensure compliance with internal data governance policies and external regulatory requirements.</li></ul> <ul><li>Reporting & Analysis </li><li>Generate reports on master data performance, SLA adherence, and data quality metrics.</li><li>Analyse trends and provide insights to improve data management practices.</li></ul><li></li> Qualifications <ul><li>B.Tech /B.E/MCA/BCA/M.Sc-IT/CS</li><li>Experience: 4-8 years</li></ul> Required Skills <ul><li>Strong understanding of master data domains and governance principles.</li><li>Proficiency in data management tools and ERP systems (e.g., SAP, Oracle).</li><li>Excellent communication and training skills.</li><li>Detail-oriented with a focus on data accuracy and process efficiency.</li><li>Ability to work collaboratively across departments.</li></ul> Preferred Skills <ul><li>Performance Metrics</li><li>SLA compliance rate for master data tasks.</li><li>Accuracy and completeness of master data entries.</li><li>Number of training sessions conducted and user satisfaction scores.</li><li>Frequency and resolution rate of data quality issues.</li></ul> Schedule: Full-time Equal Opportunity Statement Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate and we ‘embrace different’ as one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices. You can find out more about our commitment to Diversity, Equity and Inclusion <a>here</a> and our DEI Policy <a>here</a>. Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.

Company Description Santa Burners Studio is an indie game development studio known for creating intense, emotional, and unforgettable gaming experiences. We specialize in crafting gritty survival horror and mind-bending psychological thrillers with bold ideas and gripping narratives. Our team is passionate about using AI-driven gameplay and next-gen visuals to deliver immersive adventures across multiple platforms, including PC, console, and cloud. Located in Bengaluru South, we are open to partnerships and collaborations to shape the future of interactive storytelling. Role Description We are offering a Data Analyst Internship Opportunity for enthusiastic learners who want to gain hands-on experience in the field of data analytics. ???? Program Structure: 1 Month Pre-Internship Training Focused on essential tools & concepts (Excel, SQL, Power BI/Tableau, Python basics, data visualization, and real-world case studies). Training is paid to cover platform charges & learning materials. 2 Month Internship Work on live/real-time projects. Perform data collection, cleaning, analysis, and visualization. Support in preparing reports, dashboards, and insights for decision-making. Collaborate with the team to solve practical business problems using data-driven approaches. ???? What You’ll Gain: Practical knowledge of industry-standard tools. Experience in handling structured & unstructured data. Exposure to real-world business analytics projects. Certificate upon successful completion. This program is ideal for students, freshers, or early professionals aiming to start a career in Analytics note : Only the project that is selected will be eligible for stipend. Qualifications <ul><li>Ability to work both independently and as part of a team in a hybrid work environment</li><li>Familiarity with game development processes is a plus</li><li>Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or a related field</li></ul>

<h3>Job Description</h3><div>Job Description<div><div>ByHeart is an infant nutrition company built from the ground up to deliver real innovation on behalf of babies and parents. Our mission is simple: make the best formula in the world. That's why we studied the latest breast milk science, worked directly with suppliers we know and trust, set uncompromising quality standards, developed our own small batch blending process, built our own manufacturing facilities, and conducted a groundbreaking clinical trial. Our goal is to create a future where all parents feel amazing about feeding their baby—no matter how they do it.When we launched our Whole Nutrition Infant Formula in March 2022, we were the first new U.S infant formula manufacturer in 15 years. Since then, we've been leading the way in a lot of ways.We're…<ul><li>The only U.S.-made infant formula to use organic, grass-fed whole milk</li><li>The first and only U.S. infant formula company to add the two most abundant proteins found in breast milk—alpha-lac and lactoferrin—to our ingredients list</li><li>The first infant formula company to receive Clean Label Project's Purity Award (and we test for 700 contaminants vs the required 400)</li><li>We ran the largest clinical trial by a new infant formula brand in 25 years—clinically proving our benefits vs a leading infant formula like:</li><ul><li>Less spit up</li><li>Softer poops</li><li>Easier digestion</li><li>More efficient weight gain</li><li>Enhanced nutrient absorption</li><li>Longer stretches between nighttime feeds*</li></ul></ul>ByHeart has rapidly emerged as a leader in infant nutrition, fortifying the domestic supply chain by owning end-to-end manufacturing in 3 US facilities and ranking in the top 10% of the U.S. infant formula category within just one year. Strategic partnerships with retailers like Walmart and Whole Foods have expanded access to their premium, science-backed formula, now available in over 70% of U.S. stores.With >$400M in funding, we're shifting the industry forward—and this is just the beginning. Help us build a future where all parents can feel amazing about feeding, by joining our growing team of >300 people that stretches across the country.<hr />We're proud to offer competitive, family-first benefits, including but not limited to: <ol><li>Health insurance for the whole family: medical, dental, & vision insurance covered 100%, with 90% coverage for your family.</li><li>Flexible paid time off: plus 12+ company holidays, and 2 floating holidays to use at your discretion!</li><li>16-weeks of fully-paid parental leave and new parent support: free 1-year supply of formula, cozy feeding suites, and paid pumping time.</li><li>Up to 6% 401(k) Match to help you plan for your future.</li><li>Company equity for every employee: because when we succeed, we succeed together!</li></ol><hr />Visit our site to learn more, and check out some recent press on ByHeart:<ul><li>Entrepreneur: The Illusion of the Shelf – The Driving Force Behind Infant Formula Shortages, and What Needs to Change</li><li>Forbes: A Startup Wanted To Make A Better Baby Formula. It Took Five Long Years.</li><li>Business Insider: ByHeart Announces Published Data in a Scholarly Journal on Benefits of The Novel High Quality Protein Blend in Their Groundbreaking Next-Generation Easy to Digest Infant Formula</li><li>Axios: Infant formula maker ByHeart raises $95 million</li><li>BabyCenter: 2024 Best formula for Breastfed Babies </li><li>New Modern Mom: The Clean Formula Moms Are Loving</li></ul>*based on data from infants at approximately 4 months of age<hr /></div>Role DescriptionWe are seeking a highly motivated Data Analyst to join our growing team. This role is ideal for someone who thrives in a fast-paced, dynamic startup environment and is eager to use data to uncover meaningful insights and business impact. You will work closely with cross-functional business partners to deliver analytical solutions and support decision-making across the organization.Reports To: Director of Analytics Location: Hybrid, New York, NYStart Date: ASAPKey Responsibilities <ul><li>Leverage business intelligence tools (Tableau, Looker, Power BI, or similar) and resources to deliver reports that communicate insights effectively to stakeholders.</li><li>Collaborate with product, marketing, operations, and leadership teams to define key metrics and track business performance.</li><li>Support data-driven decision-making by conducting ad hoc analyses and presenting clear, actionable recommendations.</li><li>Develop, maintain, and optimize SQL queries to extract, transform, and analyze data from multiple sources, as well as design and deploy data models.</li><li>Expand capabilities and capacity for advanced analytics and data science using Python</li><li>Partner with data engineering to ensure data quality, consistency, and availability across reporting systems.</li><li>Contribute to scaling the analytics function by improving processes, standardizing reporting, and automating recurring analyses.</li></ul>Qualifications<ul><li>2+ years of experience in data analysis function with a track record of turning raw data into actionable insights and business value</li><li>Analytical Thinking: Familiarity with business frameworks, strong problem-solving skills, and ability to translate data into actionable business insights</li><li>Collaboration: Excellent communication and teamwork skills, comfortable working with both technical and non-technical stakeholders in cross-functional project teams.</li><li>Technical Proficiency: </li><li>Adaptability: Thrives in a fast-moving, high-growth startup environment, with the flexibility to adapt as priorities evolve.</li></ul>The minimum annual salary for this position is $80,000 and the maximum is $100,000. The salary range for performing this role outside of New York City will differ. Additionally, you will be eligible for a discretionary performance based annual cash bonus and to participate in our company's equity program, plus our robust medical, dental, vision, retirement, and other benefits.<div>We're excited about your interest in joining ByHeart! Our Talent Acquisition team reviews applications in the order they are received and will reach out directly to schedule interviews. We kindly ask that you refrain from contacting hiring managers or current employees directly.We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.</div></div></div>

<h3>Job Description</h3><div>Job Description<div>About Wellth:Wellth is a fast-growing, growth-stage digital health company headquartered in Los Angeles. Our mission is to motivate people living with chronic conditions to make healthier choices, every single day.We use behavioral economics, habit science and technology to motivate lasting behavior change in some of the highest need and most underserved populations in the US (Medicare and Medicaid), drastically changing their quality of life and health outcomes. We have demonstrated results with several large insurers and health systems (e.g. reducing hospitalizations by over 40%), and are now rapidly scaling. Our goal is to be the category leader in improving health outcomes for hard-to-engage populations. A key difference at Wellth compared to other digital health companies is that our users (Members) actually use Wellth every single day - think TikTok tier daily engagement (and data generation!).But most importantly, our work quite literally saves lives by stabilizing chronic disease patients and preventing disease progression, hospitalization, and other bad outcomes. We are a mission-driven company where you work with incredible talent and see tangible differences directly from your impact and influence.About the Role:Join us as a Senior Health Informatics Data Analyst and show the power of healthcare data (claims, medications, labs, quality outcomes) to prove the life-changing impact of Wellth's innovative behavior change programs. You are a healthcare data subject matter expert, experienced in healthcare datasets and analyses, including health outcomes, ROI, and utilization reduction. Our data team will rely on your guidance for structuring client healthcare data to inform product and program design.You are passionate about transforming healthcare data into compelling narratives and actionable insights. You will enhance our team's analytical capabilities and identify innovative ways to showcase our impactful work. This includes driving the development of analyses for the commercial team and creating external-facing materials (blog posts, webinars, white papers) highlighting our outcomes and opportunities. You will present analyses to clients during business reviews and collaborate with client data teams on how to best help their members.Success in this role means advancing our understanding of healthcare data possibilities, conducting analyses that drive client growth, and partnering with engineering in data modeling as a healthcare data expert. This individual contributor role within our data team reports to the Director of Data Engineering and Analytics and requires close collaboration with data engineering, analytics engineering, and commercial teams.Specifically, you will:<ul><li>Conduct analyses to identify trends, generate actionable insights, and propose strategies that drive success and outcomes for Wellth's members and payer and provider clients.</li><li>Be the face of our data expertise! Lead engaging client discussions, present transformative analyses, and provide compelling insights on quality metric performance, CMS measures, and ROI.</li><li>Develop and present complex reports, dashboards, visualizations and presentations to demonstrate Wellth's value and support both new business and ongoing partnerships.</li><li>Partner with commercial and client success teams to provide feedback and identify new ways to leverage data insights to address client-specific challenges, enhancing the value of Wellth's services.</li><li>Support the client data onboarding plan and execution including internal and external coordination and communication.</li><li>Develop and refine targeting algorithms to identify members most likely to benefit from Wellth's interventions.</li><li>Provide strategic recommendations internally for new use cases, enhancements to existing analytics capabilities, and ways to optimize data usage to better serve clients.</li><li>Stay current on healthcare industry trends and analytics methodologies, continuously refining analytical methods to drive more meaningful insights.</li></ul>You will work with:<ul><li>Commercial, Client Success, and Marketing teams to support client engagements, provide data-driven insights, and ensure that Wellth's platform delivers measurable value.</li><li>Product teams to provide data-driven feedback that informs product enhancements.</li><li>Data engineers, analytics engineers, and client data teams to gather data requirements and deliver bespoke data solutions aligned with client needs.</li><li>Senior leadership to influence and drive client acquisition and retention strategies through data storytelling and insights.</li><li>Client data teams to ensure seamless data integration to power our behavior change programs.</li></ul>We're looking for someone who has:<ul><li>5+ years of experience working with healthcare products and data, having directly worked with medical/pharmacy claims data, patient data, and other health-related data sets.</li><li>3+ years of professional experience as a healthcare data analyst in a client-facing capacity.</li><li>Experience optimizing SQL queries running on analytical databases such as Redshift and Snowflake.</li><li>Proficiency in BI tools like Tableau, Power BI, or Sisense, with a strong eye for visual storytelling</li><li>Strong understanding of healthcare quality metrics (HEDIS, Stars) and ROI/financial modeling.</li><li>Strong communication skills to translate complex data into compelling, easy-to-understand narratives for both technical and non-technical audiences.</li><li>Outstanding attention to detail and commitment to quality with experience developing repeatable, scalable processes.</li><li>Ability to provide strategic insights and proactively identify new ways to leverage data to meet client objectives and optimize quality measures.</li></ul>You might be the candidate we're looking for if you can:<ul><li>Inspire confidence through your data-driven insights and guiding strategies that improve care and reduce costs.</li><li>Thrive in a client-facing role, driving discussions and building trusted partnerships through your ability to provide actionable, data-driven recommendations.</li><li>Take ownership of complex data projects and deliver results with minimal oversight</li><li>Operate as a subject matter expert and thought leader, bringing a strong, informed point of view to drive clarity and execution in ambiguous or complex problem areas.</li><li>Experience in exploring advanced data analysis techniques, including developing Python scripts for data manipulation and analysis, performing light data science tasks (e.g., statistical modeling, exploratory data analysis), and leveraging AI/ML tools for insights generation.</li></ul>You will enjoy working with us at Wellth.The benefits of working with us include:<ul><li>Flexible working arrangements, supporting strong remote-first practices and tools with the option to work in our excellent gathering space in Marina Del Rey.</li><li>Robust paid time off and generous parental leave program.</li><li>Competitive salary & commission structure.</li><li>Health, dental, vision insurance, and FSA/HSA plans.</li><li>Ability to have a positive impact on people who need it most.</li><li>Support of a highly dedicated team focused on building the future of healthcare.</li></ul>Base Compensation: $150-180kWellth is an equal opportunity employer. We value diversity at our company. We do not discriminate based on race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or other protected characteristics.</div></div>

<h3>Job Description</h3><div>Job Description<div>Reports to: Senior Director, Analytics Location: Remote USCompensation Range: $155,000 to $170,000 base plus bonus and equityWhat We Do:Huntress is a fully remote, global team of passionate experts and ethical badasses on a mission to break down the barriers to cybersecurity. Whether creating purpose-built security solutions, hunting down hackers, or impacting our community, our people go above and beyond to change the security game and make a real difference.Founded in 2015 by former NSA cyber operators, Huntress protects all businesses—not just the 1%—with enterprise-grade, fully owned, and managed cybersecurity products at the price of an affordable SaaS application. The Huntress difference is our One Team advantage: our technology is designed with our industry-defining Security Operations Center (SOC) in mind and is never separated from our service.We protect 4M+ endpoints and 7M+ identities worldwide, elevating underresourced IT teams with protection that works as hard as they do. As long as hackers keep hacking, Huntress keeps hunting.What You'll Do:We are seeking a highly skilled and strategic Staff Data Analyst to be a key partner to our executive and Go-to-Market (GTM) leadership teams. In this role, you will be responsible for turning complex data into actionable insights that directly influence sales strategy, GTM execution, and business growth. You will own the analytical framework for measuring the health of our customer acquisition, growth, and retention motions. This position requires a unique blend of technical expertise, business acumen, and the ability to clearly communicate a metric-driven narrative to a wide range of stakeholders.Responsibilities<ul><li>Unlock value in our sales motions by leaning in with curiosity to investigate sales trends, conversion rates, levers, by channels, segments, partners, geos, customer size, etc. </li><li>Offer insights into key performance indicators (KPIs) and provide timely alerts on significant changes, anomalies, or performance gaps.</li><li>Develop and present compelling, data-driven narratives to support strategic planning, investment decisions, and business reviews (e.g., QBRs, board meetings).</li><li>Proactively lead deep-dive analyses on critical business questions, such as sales motion effectiveness, market segmentation, and pricing strategy.</li><li>Actively support the sales team in better understanding their go-to-market motion results, staffing capacity planning, product requirements, and improving sales efficiency.</li><li>Own the end-to-end reporting process for all key GTM metrics, including net new ARR (annual recurring revenue), pipeline generation, conversion rates, and the expand and cross-sell funnel.</li><li>Design, build, and maintain a suite of scalable dashboards and reports using business intelligence tools (e.g., Sigma, Tableau, Power BI, Looker) that provide visibility into performance.</li><li>Conduct complex data analysis using SQL to extract, manipulate, and analyze data from various sources (e.g., Salesforce, marketing automation platforms, financial systems).</li></ul>How You Work<ul><li>Serve as a trusted advisor by proactively identifying trends, opportunities, and risks within our GTM data products.</li><li>Translate complex data concepts into clear, concise, and simple terms for non-technical audiences.</li><li>Have regular meetings with key stakeholders that define what data product readiness looks like in the now, next, and future timelines. </li><li>Influence key prioritization and resource allocation decisions by providing a clear, data-backed point of view that makes data products future-ready.</li><li>Collaborate with analytics engineers to build and maintain the data pipelines that ensure growth metrics are evolving in alignment with the company's strategy. </li></ul>Example data products you would ownAnnual Recurring Revenue that measures monthly, quarterly, and annual changes in Net New ARR, Net Logo Counts, and Units. New Logo Funnel to understand stage conversion rates, sales cycle lengths, and connections to marketing activities. Expand Funnel to measure the conversion rates, deal sizes, and attribution of customer-focused sales and marketing activities to expand and cross-sell opportunities. <ul><li>Retention Analysis to show churn rates by customer segment, product line, or vertical.</li></ul><ul><li>Market Opportunity & Segmentation Analysis that identifies new market segments with high growth potential and provides data to inform GTM strategy.</li></ul>What You Bring To The Team:<ul><li>Bachelor's degree in a quantitative field (e.g., Finance, Economics, Statistics, Computer Science) or equivalent practical experience.</li><li>5+ years of experience in data analytics, business intelligence, or a similar role, with a strong focus on Sales, GTM, or Marketing analytics, preferably within a B2B SaaS environment.</li><li>Advanced proficiency in SQL for data querying and manipulation.</li><li>Proven experience with BI tools such as Sigma, Tableau, Looker, Power BI, or similar platforms.</li><li>Excellent communication, presentation, and storytelling skills, with the ability to translate complex data into clear, actionable insights for an executive audience.</li><li>Demonstrated ability to partner with senior leaders and influence strategic decision-making.</li></ul>What We Offer: <ul><li>100% remote work environment - since our founding in 2015</li><li>Generous paid time off policy, including vacation, sick time, and paid holidays</li><li>12 weeks of paid parental leave</li><li>Highly competitive and comprehensive medical, dental, and vision benefits plans </li><li>401(k) with a 5% contribution regardless of employee contribution</li><li>Life and Disability insurance plans</li><li>Stock options for all full-time employees </li><li>One-time $500 reimbursement for building/upgrading home office</li><li>Annual allowance for education and professional development assistance </li><li>$75 USD/month digital reimbursement</li><li>Access to the BetterUp platform for coaching, personal, and professional growth</li></ul>Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes.Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response. If you have questions about your personal data privacy at Huntress, please visit our privacy page.#BI-Remote </div></div>

<h3>Job Description</h3><div>Job Description<div>Reports to: Senior Director, Analytics Location: Remote USCompensation Range: $155,000 to $170,000 base plus bonus and equity What We Do:Huntress is a fully remote, global team of passionate experts and ethical badasses on a mission to break down the barriers to cybersecurity. Whether creating purpose-built security solutions, hunting down hackers, or impacting our community, our people go above and beyond to change the security game and make a real difference.Founded in 2015 by former NSA cyber operators, Huntress protects all businesses—not just the 1%—with enterprise-grade, fully owned, and managed cybersecurity products at the price of an affordable SaaS application. The Huntress difference is our One Team advantage: our technology is designed with our industry-defining Security Operations Center (SOC) in mind and is never separated from our service.We protect 4M+ endpoints and 7M+ identities worldwide, elevating underresourced IT teams with protection that works as hard as they do. As long as hackers keep hacking, Huntress keeps hunting.What You'll Do:We are seeking a highly skilled and strategic Staff Data Analyst to be a key partner to our support and security operations leadership teams. In this role, you will be responsible for turning complex data into actionable insights that drive customer journey mapping. You will own the analytical framework for measuring the health of our customers and support and security operations teams. This position requires a unique blend of technical expertise, business acumen, and the ability to clearly communicate a metric-driven narrative to a wide range of stakeholders.Responsibilities<ul><li>Unlock value in our install base by leaning in with curiosity to investigate customer usage, enablement, and engagement.</li><li>Offer insights into key performance indicators (KPIs) and provide timely alerts on significant changes, anomalies, or performance gaps.</li><li>Proactively develop and present compelling, data-driven narratives to support strategic planning, investment decisions, and business reviews (e.g., QBRs, board meetings).</li><li>Lead deep-dive analyses on critical business questions, such as sales motion effectiveness, market segmentation, and pricing strategy.</li><li>Own the end-to-end reporting process for key support metrics, customer health, product usage, and support effectiveness.</li><li>Actively support business owners in better understanding their business, staffing capacity planning, product requirements, and improving operating efficiency.</li><li>Design, build, and maintain a suite of scalable dashboards and reports using business intelligence tools (e.g., Sigma, Tableau, Power BI, Looker) that provide visibility into performance.</li><li>Conduct complex data analysis using SQL to extract, manipulate, and analyze data from various sources (e.g., Salesforce, marketing automation platforms, financial systems).</li></ul>How You Work<ul><li>Serve as a trusted advisor by proactively identifying trends, opportunities, and risks within our customer health and support data products.</li><li>Translate complex data concepts into clear, concise, and simple terms for non-technical audiences.</li><li>Have regular meetings with key stakeholders that define what data product readiness looks like in the now, next, and future timelines. </li><li>Influence key prioritization and resource allocation decisions by providing a clear, data-backed point of view that makes data products future-ready.</li><li>Collaborate with analytics engineers to build and maintain the data pipelines that ensure growth metrics are evolving in alignment with the company's strategy. </li></ul>Example data products you would own<ul><li>Customer Health Analysis is the core data product that helps support, security operations, and revenue leaders understand the health of our customer base. Directly influence decisions around retention programs and support coverage. </li><li>Support Efficiency defines key metrics around tickets and ticket efficiency metrics to support capacity planning.</li><li>Incident Effectiveness measures the number of Security Operations incidents, resolution times, and customer sentiment. </li></ul>What You Bring To The Team:<ul><li>Bachelor's degree in a quantitative field (e.g., Finance, Economics, Statistics, Computer Science) or equivalent practical experience.</li><li>5+ years of experience in data analytics, business intelligence, or a similar role, with a strong focus on customer health reporting, preferably within a B2B SaaS environment.</li><li>Advanced proficiency in SQL for data querying and manipulation.</li><li>Proven experience with BI tools such as Sigma, Tableau, Looker, Power BI, or similar platforms.</li><li>Excellent communication, presentation, and storytelling skills, with the ability to translate complex data into clear, actionable insights for an executive audience.</li><li>Demonstrated ability to partner with senior leaders and influence strategic decision-making.</li></ul>What We Offer: <ul><li>100% remote work environment - since our founding in 2015</li><li>Generous paid time off policy, including vacation, sick time, and paid holidays</li><li>12 weeks of paid parental leave</li><li>Highly competitive and comprehensive medical, dental, and vision benefits plans </li><li>401(k) with a 5% contribution regardless of employee contribution</li><li>Life and Disability insurance plans</li><li>Stock options for all full-time employees </li><li>One-time $500 reimbursement for building/upgrading home office</li><li>Annual allowance for education and professional development assistance </li><li>$75 USD/month digital reimbursement</li><li>Access to the BetterUp platform for coaching, personal, and professional growth</li></ul>Huntress is committed to creating a culture of inclusivity where every single member of our team is valued, has a voice, and is empowered to come to work every day just as they are. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, disability, veteran status, genetic information, marital status, or any other legally protected status. We do discriminate against hackers who try to exploit businesses of all sizes.Accommodations: If you require reasonable accommodation to complete this application, interview, or pre-employment testing or participate in the employee selection process, please direct your inquiries to accommodations@huntresslabs.com. Please note that non-accommodation requests to this inbox will not receive a response. If you have questions about your personal data privacy at Huntress, please visit our privacy page.#BI-Remote </div></div>

Question	Topic	Difficulty	Ask Chance
Causal Inference Without A/B	A/B Testing & Experimentation	Medium	Very High
Department Expenses	SQL	Medium	Very High
Algorithm Reliability	ML Ops & Training Pipelines	Hard	Very High