Prepare for and practice interview questions from Cypress Hcm.

Cypress Hcm Interview Questions

A/B Testing

Algorithms

Analytics

Machine Learning

Probability

Product Metrics

Python

Statistics

Cypress Hcm Interview Guides

<p>Suppose there exists a new airline named Jetco that flies domestically across North America. Jetco recently had a study commissioned that tested the boarding time of every airline, and it came out that Jetco had the fastest average boarding times of any airline.</p>

<p>What factors could have biased this result, and what would you look into?</p>


<p>What could potentially bias the average boarding time in favor of an airline that only flies domestically?</p>

What could potentially bias the average boarding time in favor of an airline that only flies domestically?

Boarding Times Bias

A new airline came out as the fastest average boarding times compared to other airlines.  What factors could have biased this result and what would you look into?

<p>You are testing hundreds of hypotheses with many <em>t</em>-tests. What considerations should be made?</p>


<p>What is a key disadvantage of the F-test when compared to multiple t-tests?</p>

What is a key disadvantage of the F-test when compared to multiple t-tests?

Hundreds of Hypotheses

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

<p>In an A/B test, how can you check if assignment to the various buckets was truly random?</p>


<p>In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?</p>

In an A/B test, which of the following is a common method to determine if the assignment to the test groups was truly random?

Random Bucketing

A/B Testing & Experimentation

<p>We're seeking a Data Analyst for our Transportation department to support our dynamic and growing transportation ecosystem. This role focuses on managing backend platforms, ensuring data integrity, supporting compliance, and enhancing the commuting experience for employees.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Provide operational support across transportation and mobility systems, ensuring day-to-day functionality, accuracy, and alignment with program policies.</li><li>Generate recurring ridership, parking, and usage reports (e.g., PPPM, occupancy dashboards)</li><li>Monitor and triage inquiries submitted through internal support channels (email, Slack, JIRA, etc.), escalating as needed to appropriate teams.</li><li>Generate recurring utilization, ridership, parking, and usage reports</li><li>Support documentation of operational workflows and partner playbooks</li><li>Collaborate with field leads and workplace teams to ensure systems are functioning correctly</li></ul><p><br></p><p><strong>Required Skills:</strong></p><ul><li>2+ years of experience in an Analyst or Analytical role</li><li>Familiarity with enterprise platforms</li><li>Excellent analytical & data skills</li><li>Intermediate Excel skills (Pivot Tables, VLOOKUP, simple modeling)</li><li>Excellent organizational and documentation skills</li><li>Quick learner with high discretion, able to handle sensitive operational issues (e.g., parking equity, ride disputes, billing escalations) with professionalism and limited supervision.</li></ul><p><br></p><p><strong>Preferred Qualifications:</strong></p><ul><li>Experience with budgeting or contract tracking tools</li><li>Background in workplace operations, facilities management, or mobility-related programs, with an understanding of cross-functional coordination.</li><li>Familiarity with transportation-related compliance frameworks, such as commuter benefit policies, fringe benefit taxation, or regional mobility regulations.</li></ul><p><br></p><p><strong>Pay Rate</strong>:</p><ul><li>$28-$32.50</li></ul><p><br></p><p>** Onsite expectations are 5 days a week in our San Francisco office</p>

<p><strong><u>Senior Data Analyst</u></strong></p><p><br></p><p><strong>Locations: </strong></p><ul><li>New York, NY 10011 (Hybrid Remote – 3 days per week in the office) </li><li>Atlanta, GA (Remote) with occasional travel to NYC</li></ul><p><br></p><p><strong>Employees: </strong>50</p><p><strong>Industry: </strong>SaaS, Hospitality, Media, Marketing</p><p><strong>Reports To: </strong>Vice President, Product </p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Building forecasting and yield optimization models across the publisher network </li><li>Predicting attribution outcomes and designing strategies that optimize yield </li><li>Owning projects from end-to-end, from data ingestion, advanced modeling, delivering insights </li><li>Refining yield optimization frameworks to maximize ROI for customers </li><li>Applying advanced methods such as time series forecasting, casual inference, clustering, and optimization algorithms</li><li>Delivering reporting and insights to partners and product teams, guiding decision making and product feature development </li><li>Building dashboards and data visualizations to make outputs accessible </li><li>Partnering with engineering teams to embed forecasting and yield models into the platform </li></ul><p><br></p><p><strong>Requirements:</strong></p><ul><li>5+ years of experience in data analysis, forecasting, and yield management </li><li>Expertise in time series forecasting and optimization </li><li>Strong SQL querying and data wrangling skills </li><li>Experience working with marketing, demand generation, and/or digital media data</li><li>Programming skills in Python and/or R for modeling and statistical analysis</li><li>Experience analyzing large, complex datasets from multiple sources </li><li>Exposure to hospitality, travel, or performance marketing attribution is preferred</li><li>Experience with Azure and/or SQL Server is preferred </li></ul><p><br></p><p><strong>Benefits:</strong></p><ul><li>Annual bonus plan, equity, 401K with 4% match, monthly wellness stipend, comprehensive medical and dental insurance plans, long-term disability, and more</li></ul><p><br></p><p><strong>Compensation:</strong></p><ul><li>$120K - $160K + 10% Bonus + Equity</li></ul>

<h3>Job Description</h3><div>Job Description<div><div></div><div><br /></div><div><strong>QA Data Analyst </strong><strong>&</strong><strong> Telemetry Specialist IV</strong></div><div><strong> </strong></div><div><strong>Description:</strong></div><ul><li>We’re looking for a QA Data Analyst & Telemetry Specialist to help drive our product quality efforts through insightful data analysis, robust reporting, and close collaboration with engineering teams. This hybrid role combines skills in data analysis, log exploration, instrumentation design, and reporting. You'll investigate product behavior through telemetry, create dashboards and written reports to surface quality risks, and support the QA team in prioritizing and validating work with data-driven confidence. You’ll be the team’s go-to person for turning raw signals into clear, actionable dashboards, ad-hoc investigations, and concise written reports that inform leadership and cross-functional teams.</li></ul><div><strong> </strong></div><div><strong>Duties:</strong></div><ul><li>Data Analysis & Log Investigation </li><li>Hunt down the right logs, trace product issues across environments, and analyze patterns in system behavior to support QA investigations and test coverage strategy.</li><li>Instrumentation Partnership </li><li>Collaborate with engineers to define, scope, and validate telemetry requirements to ensure the right data is being captured for quality signals.</li><li>Dashboards & Visualization </li><li>Design and maintain clear, role-specific dashboards that reflect test results, coverage trends, performance metrics, and release health.</li><li>Written Reports </li><li>Produce structured reports and summaries that combine narrative, visuals, and metrics to tell a complete story about product quality, test outcomes, and production health.</li><li>Root Cause Support </li><li>Assist QA and dev teams with root cause investigations using log data, traces, metrics, and real-world usage patterns.</li><li>Cross-Team Collaboration </li><li>Partner with QA, Engineering, Product, and Data teams to align on what signals matter and how they’re consumed across tools and stakeholders. </li><li>Quality Metrics Development </li><li>Define and refine KPIs around bug trends, feature coverage, regressions, and release readiness to guide strategic QA direction.</li></ul><div></div><div><strong>Requirements:</strong></div><ul><li>Min of 7 years professional experience total with 3-5 years of experience of recent cross functional experience, ideally in large corporation environments or large teams.</li><li>Strong hands-on experience with data analysis (SQL, Python, R, or similar)</li><li>Skilled in producing clear visualizations (e.g., Superset, Plotly, Tableau, Looker, Grafana, Power BI)</li><li>Able to write concise reports with actionable insights — weekly summaries, defect overviews, quality scorecards, etc.</li><li>Familiar with log analysis tools (e.g., Sumologic, Splunk, Datadog, Kibana, ElasticSearch)</li><li>Comfortable discussing and designing <span class="long-word">instrumentation/logging</span> with engineers</li><li>Familiarity with QA concepts, release validation, and production monitoring</li><li>Strong communication skills; can adapt output to technical and non-technical audiences</li><li>Bonus Points:</li><li>Background in QA, test automation, or release engineering</li><li> Experience with OpenTelemetry, distributed tracing, or event-driven logs</li><li>Experience in continuous delivery environments with real-time observability needs</li><li>Prior involvement in incident reviews or quality postmortems</li><li>Bachelor’s degree (or higher) in one of the following fields is preferred:</li></ul><div>Computer Science, Data Science, Information Systems, Software Engineering, Statistics or Applied Mathematics</div><ul><li>Electrical or Computer Engineering Equivalent practical experience is also welcome — especially in QA, data analysis, SRE, or systems engineering roles.</li><li>Relevant certifications (e.g., Data Analytics, SQL, Tableau, or <span class="long-word">Observability/Monitoring</span> tools) are a plus. </li></ul><div><strong> </strong></div><div><strong>Compensation:</strong></div><ul><li>$78.12 – 86.02/hr W—2</li></ul><div></div><div><strong>Req ID: </strong></div><ul><li>36209620</li></ul></div></div>

<p><strong>Sr Data Engineer</strong></p><p><br></p><p><strong>Location: </strong>Blue Ash, OH (On-Site)</p><p><strong>Pay:</strong> Salary (Compensation can vary depending on experience) + Benefits, Community Involvement, PTO, 401k match (10% dollar for dollar), Roth contribution</p><p><br></p><p><strong><u>General Overview</u></strong></p><p>We’re looking for a <strong>Senior Data Engineer</strong> to join our growing Data team. This role plays a critical part in advancing our data infrastructure and supporting the organization’s data-driven initiatives. The position evolves from a traditional Database Admin role into a modern data engineering opportunity as the organization transitions to <strong>Snowflake</strong> and cloud-based platforms. You’ll design, build, and optimize data pipelines, mentor junior engineers, and help shape best practices for data integrity, accessibility, and performance—all without direct managerial responsibilities.</p><p><strong><u> </u></strong></p><p><strong><u>Responsibilities</u></strong></p><ul><li>Design, implement, and maintain scalable, high-performance data pipelines and ETL processes.</li><li>Develop and manage data warehouse and data lake solutions, ensuring data quality, integrity, and reliability.</li><li>Support and enhance the organization’s transition to Snowflake and other cloud-based environments.</li><li>Collaborate with cross-functional teams to translate data requirements into technical solutions.</li><li>Optimize data workflows for efficiency, performance, and cost-effectiveness using modern tools and frameworks.</li><li>Implement and maintain data governance and security measures to ensure compliance with regulatory standards.</li><li>Troubleshoot and resolve issues related to data processing, quality, and system performance.</li><li>Evaluate and recommend emerging technologies and best practices in data engineering and analytics.</li><li>Document technical specifications, data lineage, and system architecture for transparency and collaboration.</li><li>Mentor junior data engineers and contribute to a culture of continuous improvement.</li></ul><p><strong>Requirements</strong></p><ul><li>Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field (Master’s preferred).</li><li>6+ years of experience in Data Engineering, Data Warehousing, or related disciplines.</li><li>Proficiency in Python, Java, Scala, and SQL for data manipulation and analysis.</li><li>Hands-on experience with Snowflake or similar cloud data platforms (Azure preferred).</li><li>Strong understanding of data modeling, schema design, and distributed computing architectures.</li><li>Familiarity with cloud environments (AWS, Azure, or GCP).</li><li>Excellent problem-solving and analytical skills with the ability to troubleshoot complex systems.</li><li>Strong communication and collaboration abilities to work across teams and mentor others.</li><li>Prior experience in financial services, insurance, or banking is a plus.</li></ul><p></p>

<h3>Job Description</h3><div>Job Description<div><div><strong>Engineering Manager</strong></div><div><strong>Location: </strong>Atlanta, GA | Hybrid onsite</div><div><strong>Employees</strong><strong>: </strong>500+</div><div><strong>Industry</strong><strong>: </strong>SaaS</div><div><strong>Position Reporting To: </strong>Director of Engineering</div><div><strong> </strong></div><div>We are seeking an experienced Engineering Manager to lead and grow a cross-functional team of talented full-stack and test engineers working on large-scale SaaS platforms. This role combines hands-on technical leadership with people management, and you’ll oversee planning, architecture, delivery, and career development for your team.</div><div></div><div><strong>Most Important </strong><strong>Responsibilities</strong><strong>:</strong></div><ul><li>Hire, lead, and manage a <span class="long-word">technology/engineering</span> team of 5+</li><li>Own end-to-end software development lifecycle and deliver high-quality releases in Agile environment.</li><li>Partner with product management to translate requirements into executable plans.</li><li>Build, own, and operate reliable systems, services and user experiences. </li><li>Establish and maintain technical specifications, coding standards, and best practices.</li><li>Remove roadblocks and ensure consistent, predictable team delivery.</li></ul><div><strong> </strong></div><div><strong>What you can bring to the table to impact this role, team, and organization:</strong></div><ul><li>7+ years of software engineering experience with operational experience leading high-performing teams.</li><li>2+ years of direct people-management experience.</li><li>Bachelor’s degree in computer science or equivalent practical experience</li><li>Full-stack proficiency with NodeJS, <span class="long-word">JavaScript/Typescript,</span> React technology stack.</li><li>Familiarity with tools like AWS, GitLab, Confluence, Heap, Split, Datadog</li><li>Proven ability to decompose complex technical problems into small, user-valued deliverables.</li><li>Experience designing and scaling cloud-based systems and infrastructure (AWS, Kafka, MySQL/Postgres)</li></ul><div></div><div><strong>Featured Benefits: </strong>Technology stipend, medical, dental, vision, 401K matching, PTO.</div><div></div><div><strong>Compensation: </strong>$145,000 - $155,000 + Bonus opportunity</div><div></div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><strong>Technical Product Manager</strong></div><div><strong>Location: </strong>Atlanta, GA | Hybrid Onsite</div><div><strong>Employees</strong><strong>: </strong><strong>~</strong>500</div><div><strong>Industry</strong><strong>: </strong>SaaS</div><div><strong>Position Reporting To: </strong>Head of Product</div><div><strong> </strong></div><div>We’re seeking a hands-on, tech-savvy Technical Product Manager to help shape and scale a fast-growing platform used by thousands to run large-scale events and programs. We are looking for someone coming from a B2B SaaS environment that thrives on cross-functional collaboration, wants to see the impact of their work, and enjoys working in high-energy environments. </div><div></div><div><strong>Most Important </strong><strong>Responsibilities</strong><strong>:</strong></div><ul><li>Own initiatives end-to-end from identifying opportunities to launching technical products.</li><li>Gather feedback from users and internal teams to identify trends and define product opportunities.</li><li>Partner with design (Figma, whiteboards, or similar) to simplify user flows for families, educators, and program organizers.</li><li>Write user stories and collaborate with engineers on requirements, trade-offs, and delivery timelines.</li><li>Use analytic tools (dashboards, experiments, GA) to measure outcomes and iterate quickly. </li><li>Prototype concepts to validate before pulling in development resources.</li><li>Plan and coordinate launches with marketing, support, and other stakeholders.</li><li>Jump in where needed: QA flows, troubleshooting, support issues, or preparing notes and product updates.</li></ul><div><strong> </strong></div><div><strong>What you can bring to the table to impact this role, team, and organization:</strong></div><ul><li>2-6 years of product management experience or closely related experience, ideally with a technical background. </li><li>Comfort discussing APIs, data flows, and platform trade-offs with engineers.</li><li>Strong analytical skills and ability to calculate business impact and make ROI-driven decisions.</li><li>Excellent prioritization skills with a bias toward iterative shipping and rapid learning.</li><li>Adaptability in ambiguous environments.</li><li>Willingness to prototype, QA, and test hypotheses independently.</li></ul><div><strong> </strong></div><div><strong>Featured Benefits: </strong>Technology stipend, medical, dental, vision, 401K matching, PTO</div><div></div><div><strong>Compensation: </strong>$120 - $150K + bonus opportunity</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><strong>Senior Software Engineer</strong></div><div><strong> </strong></div><div>Also open to mid-level, staff, principal, and team lead level engineers </div><div><strong> </strong></div><div><strong>Location</strong><strong>:</strong><strong> </strong>Redwood City, CA | In the office 3-4 days per week with flexibility </div><div><strong>Employees</strong><strong>: </strong>650 | <strong>Team Size</strong><strong>: </strong>15| <strong>Reporting To: </strong>Director of Platform Engineering </div><div><strong>Industry</strong><strong>: </strong>Supply chain, warehouse automation, AI, robotics, product development </div><div></div><div><strong>Responsibilities:</strong></div><ul><li>Design, development, and optimization of high-performance, distributed software systems</li><li>Working closely with product managers, architects, and cross-functional engineering teams</li><li>Building solutions that are critical to warehouse automation, robotics orchestration, and real-time decision-making systems </li><li>Working with Erlang to design/implement core modules to build scalable, distributed systems</li><li>Developing critical product features and solving complex system-level challenges </li><li>Collaborating with architects to define low-level design, contributing to the technical roadmap</li><li>Refactoring and optimizing algorithms and services for better performance and scalability </li><li>Reviewing code, mentoring, and promoting best coding practices within the team</li><li>Using simulations and testing to validate system behavior and performance </li></ul><div><strong> </strong></div><div><strong>Requirements:</strong></div><ul><li>3+ years of professional experience in software engineering </li><li>Experience building and maintaining distributed, high-availability software systems</li><li>Experience with one or more of the following languages: Erlang, Elixir, Gleam, Pony, Scala, Golang, Rust, Haskell</li><li>Experience with microservice architecture and REST APIs</li><li>Database experience with RDBMS/SQL in production environments</li><li>Understanding of OOP, system design patterns, software design principles </li><li>Experience with version control systems like Git </li></ul><div><strong> </strong></div><div><strong>Benefits</strong><strong>: </strong></div><ul><li>Unlimited PTO, health, dental, vision, and life insurance. Wellness reimbursement. 401K with company match. HAS, FSA plans. Short-term and long-term disability. Supplemental life insurance.</li></ul><div></div><div><strong>Compensation:</strong></div><ul><li>$150K - $200K (senior-level) + Annual Bonus</li><li>Open to $200K - $250K for staff/principal + Annual Bonus </li></ul></div></div>

<h3>Job Description</h3><div>Job Description<div><div><br /></div><div><br /></div><div><strong>Associate</strong><strong> Fraud Strategy Data Scientist</strong></div><div></div><div>This is an exciting opportunity to join a growing global company in the cloud-based software industry. We are looking for a talented, enthusiastic and dedicated person to support the Fraud Risk Strategy team. The incumbent will be responsible for supporting key projects associated with fraud detection, risk analysis and loss mitigation. </div><div></div><div>This position requires a person who has experience with performing analytics, refining risk strategies, and developing predictive algorithms preferably in the risk domain. </div><div></div><div><strong>Responsibilities: </strong></div><ul><li>Design rules to detect/mitigate fraud.</li><li>Develop Python scripts and models that support strategies.</li><li>Investigate novel/large cases and identify root cause.</li><li>Set strategy for different risk types.</li><li>Work with <span class="long-word">product/engineering</span> to improvement control capabilities and develop and present strategies and guide execution.</li><li>Work closely with team members and stakeholders to consult, design, develop, and manage fraud strategies and rules that not only solve emerging fraud trends but also provide a great experience to end customers.</li><li>Collaborate with cross-functional stakeholders including product managers and engineering teams to deploy data-driven fraud solutions that operate at scale and in real time for end customers.</li><li>Make business recommendations to leadership and cross-functional teams with effective presentations of findings at multiple levels of stakeholders.</li><li>Development of dashboard and visualizations to track KPI of fraud strategies implemented.</li></ul><div><br /><strong>Requirements:</strong></div><ul><li>Maximum 2 years of experience in risk analytics, data analysis, and data science within relevant industry experience in eCommerce, online payments, user trust/risk/fraud, or <span class="long-word">investigation/product</span> abuse.</li><li>Bachelor’s degree in Data Analytics, Data Science, Mathematics, Statistics, Data Mining or related field or equivalent practical experience</li><li>Experience using statistics and data science to solve complex business problems</li><li>Proficiency in SQL, Python, Excel including key data science libraries</li><li>Proficiency in data visualization including Tableau</li><li>Experience working with large datasets</li><li>Ability to clearly communicate complex results to technical experts, business partners, and executives including development of dashboards and visualizations, i.e. Tableau.</li><li>Desirable to have experience or aptitude solving problems related to risk using data science and analytics</li><li>Bonus: Experience with AWS, knowledge of fraud investigations, payment rule systems, working with ML teams, fraud typologies</li></ul><div></div><div><strong>Pay Rate:</strong><strong> </strong>$50/hour</div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><br /></div><div><strong>S</strong><strong>enior</strong><strong> Software Engineer</strong></div><div><strong> </strong></div><div><strong>Job Details</strong></div><ul><li>Design, develop, and test (including automated, continuous integration) key components of our platform</li><li>Develop systems that are highly reliable, scalable, but remain easy to maintain</li><li>Be passionate and help improve the availability, performance, scalability, and security of the product.</li><li>Be independent in feature/component design as well as conduct effective peer code reviews</li><li>Lead and participate in production deployment activities of features and diagnose and resolve issues brought up from the production environment</li><li>Evaluate new technologies and help incorporate them into the technology stack</li></ul><div><strong> </strong></div><div><strong>Skills:</strong></div><ul><li>7+ years working in SaaS platforms & technologies</li><li>Experience planning and implementing architectures for new services or components.</li><li>Strong core Java or other object oriented languages, design patterns and OOD/OOP skills</li><li>Knowledge of ORM frameworks like Hibernate</li><li>Skills in MySQL, PostgreSQL, or other relational databases</li><li>Solid understanding of Docker or other container orchestration systems</li><li>You bring a positive work attitude, are a self-starter, and a standout colleague</li><li>Creative thinker and problem solver</li><li>Strong written and verbal communication and collaboration skills</li></ul><div><strong> </strong></div><div><strong>What will help you stand out from the crowd:</strong></div><ul><li>BS/MS in Computer Science, Engineering, or related field</li><li>Good working knowledge of Redis, Mongo</li><li>Experience building enterprise applications with Spring framework</li><li>Understanding of Scrum / Agile Methodologies</li><li>Affinity for APM and monitoring tools (New Relic, Wavefront, Vivid Cortex)</li></ul><div></div><div><strong>Compensation</strong><strong>: </strong></div><ul><li>$73.24 per hour</li></ul><div></div><div>36489330 </div></div></div>

<h3>Job Description</h3><div>Job Description<div><div><br /></div><div><br /></div><div><strong>Business Analyst, Supply Chain Ops - Plan and Buy</strong></div><div></div><div></div><div>We strive to hire the best and brightest people, who excel in cutting-edge, fast-paced, collaborative, and transparent environments. We are seeking an enthusiastic individual to solve real-world problems while making work an enjoyable experience. The Contract Business Analyst, will be a key member of the Supply Chain digital transformation project working closely with stakeholders from various business units to understand their needs and translate them into functional requirements. This role involves analyzing current processes, identifying improvement opportunities, and ensuring the successful implementation of Advanced Planning & Procure to Pay processes as part of Supply Chain digital transformation enabled by SAP S/4HANA and related applications.</div><div></div><div><strong>Responsibilities</strong>: </div><ul><li>Conduct process analysis and mapping using Lucid chart and other diagramming tools.</li><li>Create detailed process diagrams, flowcharts, and documentation to visualize current and future state processes.</li><li>Facilitate workshops and meetings with cross-functional teams to drive consensus and validate requirements.</li><li>Analyze current product configurations and identify opportunities for redesign within the CTO (Configure to Order) model.</li><li>Collaborate with product development and engineering teams to develop optimized product configurations.</li><li>Engage with procurement and sourcing stakeholders to capture business needs and translate them into ERP requirements.</li><li>Collaborate with business stakeholders to gather and document detailed business requirements for the Advanced Planning & Procure to Pay business process as part of the ERP Implementation including configuration and design aligned with SAP S/4HANA solutions.</li><li>Analyze and improve procurement workflows including Purchase Requisition, Purchase Order, Source-to-Pay, and Supplier Collaboration.</li><li>Develop functional specifications and work closely with the technical team to ensure alignment with business requirements.</li><li>Lead workshops and stakeholder interviews to define future-state processes and capabilities.</li><li>Prepare test scenarios & test scripts.</li><li>Partner closely with SAP solution architects and development teams to drive the successful delivery of scalable, well-integrated solutions ensuring alignment with SAP S/4HANA best practices and architecture across Advanced Planning and Procure-to-Pay domains.</li><li>Assist in the development and execution of user acceptance testing (UAT) plans, including test cases and scenarios.</li><li>Support data cleansing, UAT, change management, and user enablement.</li><li>Provide training and support to end-users to ensure successful adoption of the new ERP system.</li><li>Act as a liaison between business units and the project team to ensure clear communication and understanding of project goals.</li><li>Monitor project progress, identify risks, and propose mitigation strategies to ensure timely delivery.</li><li>Prepare and present regular status reports to project stakeholders and senior management.</li><li>Monitor and evaluate the impact of process changes, providing ongoing support and adjustments as needed.</li><li>Stay current with industry trends, methodologies, and tools related to business process management and improvement.</li></ul><div></div><div><strong>Qualifications</strong>:</div><ul><li>5+ years of relevant experience.</li><li>Proven experience as a Business Analyst in similar digital transformation projects with a strong focus on process analysis and improvement.</li><li>Functional experience in Supply Chain Operations - Forecast to Plan, Procure to Pay.</li><li>Expertise in creating lucid and process diagrams using tools such as Lucid chart, Microsoft Visio, or similar software.</li><li>Familiarity with SAP S/4HANA, SAP Ariba/Business Network and SAP Integrated Business Planning (IBP) business processes.</li><li>Excellent analytical and problem-solving skills, with the ability to think strategically and implement practical solutions.</li><li>Strong communication and interpersonal skills, with the ability to collaborate effectively with business stakeholders and team members.</li><li>Knowledge of business process management (BPM) methodologies and frameworks (e.g., Six Sigma, Lean, BPMN) is a plus.</li><li>Experience with procurement KPIs, supplier performance management, and compliance.</li><li>Familiarity with Agile/Hybrid project methodologies and stakeholder engagement best practices.</li><li>Strong problem-solving skills and ability to lead multiple projects simultaneously.</li><li>Certification in Business Analysis (e.g., CBAP) is a plus.</li><li>Collaborative team player with a can-do attitude.</li><li>Highly analytical, fact driven, and is process oriented.</li><li>Education: Bachelor’s degree in Business Administration, Information Technology, or a related field. Master's Degree, advanced degree preferred.</li></ul><div></div><div>Compensation: $53 - $71.83 per hour </div><div>ID#: 1451570</div></div></div>

Question	Topic	Difficulty	Ask Chance
Boarding Times Bias	Statistics	Medium	Very High
Hundreds of Hypotheses	Statistics	Medium	Very High
Random Bucketing	A/B Testing & Experimentation	Medium	Very High

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