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<h3>Overview</h3>
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 We are looking for an experienced world-class Analytics Experience Capability lead to lead the development of platform business analytics across all Intuit Assist offerings. We have an exciting opportunity to shape analytics for GenAI, bringing together products and GenAI LLMs to make a tangible impact on customer experience. If you have an excellent understanding of data architectures and the acumen to map the business needs to technology, analytical skills, and a passion for delivering data-driven insights, join us!
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<h3> What you'll bring</h3>
<ul>
<li>8+ years of experience working with different data and analytics domains such as service operations, e-commerce marketplace, customer care, product, finance, and marketing.</li>
<li>Experience influencing at senior leadership levels and driving cross-functional teams</li>
<li>Advanced proficiency in data modeling and mapping business needs into data design and modeling.</li>
<li>Ability to simplify stories with data and be concise in the insights and how they drive outcomes with leadership and stakeholders</li>
<li>Excellent problem-solving skills and end-to-end quantitative thinking</li>
<li>Ability to manage multiple projects simultaneously to meet objectives and critical deadlines</li>
<li>Outstanding communication skills with both technical and non-technical colleagues</li>
<li>Proactive and inquisitive learner... seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances</li>
<li>Strong organization, time management, and task prioritization skills</li>
<li>Operate with an ownership mindset, and exhibit boundaryless leadership towards impacting outcomes.</li>
<li>Bachelor’s Degree in Computer Science, Statistics, Economics, Mathematics, Data Analytics, Finance, Advanced Analytics, a related field or equivalent work experience. Master’s Degree preferred</li>
</ul>
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<h3> How you will lead</h3>
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<li>Driving data models and definitions: Creating a single source of truth for multiple analytics and AI teams to extract value from data, delivering scalable, repeatable, effective, and meeting the expectations of various stakeholders and leaders. In addition, provide ongoing recommendations to leadership utilizing complex data, business knowledge, and strategic assumptions when data doesn’t exist.</li>
<li>Identifying opportunities and influencing product development teams to act: You will partner with a cross-functional team to leverage data and technology to deliver better outcomes for customers and business partners.</li>
<li>Driving self-serve and data literacy of insights: You will create learning and measurement plans for experiments and campaigns to define instrumentation and data collection requirements. By partnering with data engineering to scale and automate analytics on new products and initiatives, you will build reports to drive discussions, facilitate decision-making, and provide actionable insights.</li>
</ul>
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Overview We are looking for world-class analytics talent for Intuit’s Virtual Expert Platform as we develop AI-driven technology innovation to build platforms at scale that transform the lives of consumers, small businesses, and accountants by connecting our customers to experts across all Intuit product lines. This role will be primarily responsible for shaping the way we measure and improve product experiences by leveraging analytics to help solve customer and expert problems. You will partner closely with product managers, engineering teams, data scientists, and customer success managers to size, develop, and test new features and functionality that deliver awesome experiences for both our customers and tax experts. Data is central to Intuit’s decision-making process, and analysts are a critical component to evangelize data-driven decision making as we look to transform Intuit’s Customer Success for the future.What you'll bring <ol><li>8+ years of experience in generating and presenting insights from marketing/product/customer care data. Experience in content analysis, advanced analytics, measurement, and optimization.</li><li>Good understanding of data structures and pipelines. Experience with data instrumentation, interpretation, and visualization tools (e.g. Tableau, Qliksense, Amplitude).</li><li>Exceptional SQL skills and experience working with granular web clickstream data and behavior tracking tools. Experience with unstructured data is a plus.</li><li>Fluency in data analysis, including defining KPIs, statistical and predictive modeling concepts, descriptive statistics, experimental design, and multivariate A/B testing.</li><li>Outstanding communication skills with the ability to interact with business leaders to make business recommendations.</li><li>Experience in programming languages and stats packages (e.g. Python, R) is a plus; comfortable creating re-usable data sets with high-quality data.</li><li>Passionate about mentoring others and the advancement of the team.</li><li>Genuine customer empathy to find solutions to improve the lives of our users.</li></ol>How you will lead <ol><li>Identify opportunities for developing new data sources, and provide technical leadership around making those data sources high-quality and broadly available.</li><li>Provide teams with ad-hoc analysis (SQL), automated dashboards (Tableau), and self-service reporting tools to make access to data easy for decision makers across the organization.</li><li>Champion data-driven decision-making in your team and throughout the company, including coaching and mentoring others on best practices, especially around data architecture and cleanliness.</li><li>Strong data architecture and ETL mindset; High-level technical Tableau skills; partner closely with data engineers to connect disparate data sources together into viable analytics solutions.</li><li>Provide insights to the leadership team around the impact of strategic initiatives, trends in key metrics, and help track progress towards goals – moving beyond operational analytics insights into strategic ways of measuring/defining new metrics for driving business forward.</li><li>Partner with cross-functional teams including Product, Expert Network, Engineering, and Analytics to design and build analytics tools that constantly improve customer and expert experiences.</li><li>Effectively communicate at all levels of the organization, respond effectively to unexpected obstacles and reallocate resources as necessary.</li><li>Own and prioritize the team’s backlog, and partner directly with business partners to effectively communicate prioritization and commitment to a co-owned and evolving product strategy.</li></ol>
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A thought leader collaborates across organizations, processes, and systems to assess and leverage technology for Intuit optimization. By synthesizing requirements from multiple business units and driving holistic solutions with business analysts, thi Data Analyst, Business, Staff, Business Analyst, Senior, IT

Overview Mailchimp is a leading marketing platform for small businesses. We empower millions of customers around the world to build their brands and grow their companies with a suite of marketing automation, multichannel campaign, CRM, and analytics tools. Our analytics team is a growing team here at Mailchimp to support our strategic initiatives, business operations and revenue management as Mailchimp continues to evolve. We are seeking a motivated and energetic data analyst to support the growth of the analytics function of this team. As a Staff Product Analyst on the Product Analytics team, you will help lead strategic, data-driven decision making at Mailchimp. In this role, you will apply a variety of analytical tools and techniques to conduct deep dive analysis to both help understand and better explain customer behavior and business trends as well as predict future business outcomes. You will partner with stakeholders across the company -- product, finance, marketing, legal, and others -- to support the business on strategic analytics requests and build cross-functional reporting to arm Mailchimp with insights that will help steer our future. What you'll bring 5-7 years of experience in an analytics-focused role, prior work experience within a technology (software) company Proven experience analyzing data from a variety of sources (quantitative and qualitative), presenting the data in a clear and concise manner, and create actionable insights Expertise in SQL Experience with statistical methods such as regression and hypothesis testing Demonstrated, hands-on experience with data visualization tools, e.g. Looker and Tableau Ability to build relationships, be persuasive and influential within and across immediate working groups Experience working with cloud based data warehouses like Google BigQuery, Redshift, or Snowflake Experience working in an Agile Product Development environment a plus Experience with mentoring others in User Experience Research practice Bachelors or Graduate degree (business, analytics, or mathematics a plus or equivalent work experience) Knowledge of web analytics and user behavior analysis (Google Analytics, Adobe Analytics, etc.) How you will lead Analyze large behavioral data sets to create a complete picture of the Mailchimp customer, their behaviors, and needs, turning them into actionable recommendations and insights that tie to larger strategic business goals Analyze multiple types of data (e.g., web traffic, product usage, orders, customer experience, etc. ) that provide a complete picture of users behavior from attraction, awareness, conversion, usage, and retention Manage sitewide tagging framework, implementation spec, and engineering requirements for analytics tracking; oversee migration of analytics tracking. Guide other product analysts and researchers on the design, execution, and analysis of quantitative, qualitative, and mixed-methods research studies Own and build analytical tools and solutions addressing product and business needs and questions enabling better decisions by leadership Lead complex analytics requirements conversations, communicate with stakeholders to plan analysis approach, and guide key decisions Create new reporting and dashboards, data infrastructure, and queries to track key marketing metrics across multiple data sources leveraging SQL, R/Python, Looker, Tableau, and other visualization tools; monitor for changes in trends, share insights and make recommendations Work with strategic initiative owners and key stakeholders to identify and conduct targeted analyses on high-priority topics; provide subject matter expertise on product analytics topics Develop narratives and recommendations from analyses, build presentations, and present findings to business stakeholders Partner with strategic initiative owners and key stakeholders to define KPIs and build dashboard reporting to help the business make data-informed decisions Support experimentation design of to measure impact of product changes; synthesize and present results Coordinate data infrastructure work to ensure appropriate tracking is in-place to conduct high-quality analyses Build analytics roadmaps to support and align with Product roadmaps + EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

Overview Join our dynamic team of Global Business Services (GBS) Data/Analytics & Automation and embark on an incredible journey towards digital progress. As a Staff Data Analyst, you will be responsible for managing Intuit's Contract data, implementing clean data and Self-Serve Strategies, and playing a major role in the development of Intelligent Automation to enhance user experience and business processes. This role offers a unique chance to explore the comprehensive Source-To-Report spectrum and leverage AI to revolutionize our business models. What you'll bring At least 7+ years of experience working in a data analytics role Experience in contract management, Quickbase, and Quicksight/Amazon Q, SQL, Databricks Strong computer science skills, especially in languages such as Python, Java, Scala, and/or C++ Experience with requirement gathering and process documentation Proficient in crafting and implementing custom APIs Being familiar with AWS Devportal and its various services is crucial for this role Excellent communication skills, with the ability to translate complex data concepts to non-technical teams Knowledge of artificial intelligence, data science methods, and big data technologies Self-starter driven by zeal for innovation, with a proven track record of managing projects from initiation to UAT and Hyper care Ability to adapt and excel in a fast-paced, dynamic environment with cross-functional collaborations Excellent communication skills and ability to articulate and clearly present to senior executives A bachelors degree in mathematics, Statistics, or related field; equivalent experience will be considered Preferred Skills (Not Mandatory): Insight into Procure to Pay, Sourcing, and Supply Chain processes Knowledge of Oracle (eBiz R12) Experience in both front-end and back-end development is highly valued Business Intelligence tool experience (Qlik, QuickSight, etc.) Familiarity with HTML, JavaScript, or React is beneficial Strong leadership skills and experience with managing and mentoring teams How you will lead Develop a structured and iterative approach to extract, analyze, validate, and communicate data-driven insights Implement a multi-year Clean Data Strategy to ensure that data is accurate, complete, consistent, unique, and uniform. This includes scrubbing, validation and removing irrelevant data. Developing AI prototypes - You will develop and execute AI-based strategic projects and models to support business goals and objectives Leveraging cutting - edge techniques and technologies to improve data analysis capabilities Manage Contracts data in Quickbase by setting up fields and tables, maintaining relationships, and creating/maintaining reports Develop an AI-assisted tool for non-technical employees to build ad-hoc reports as part of the Self-Serve Strategy. Expertise in Amazon Q is preferred. Create data parity and quality checks using AWS Dev Portal services such as Glue, Athena, and S3 Ensure compliance with Intuit's data privacy and security guidelines while building and implementing AI and automation tools Conduct regular testing, maintenance, and updates of AI applications and systems, ensuring maximum availability and optimal performance EOE AA M/F/Vet/Disability. Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.

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