Intuit

With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper.. , Qlik Sense, Tableau) and data visualization techniques.. Responsibilities Owner of Expert Network / Modern Operations data architecture Partner with data engineering and broader analytics teams to build durable and accurate data marts.. Work with data engineering and product development teams to identify and instrument new data sources.. Implement best practices for data governance, including data quality, metadata management, and data privacy.

technical data analyst

Company Overview Intuit is the global financial technology platform that powers prosperity for the people and communities we serve. With approximately 100 million customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible. Qualifications  Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or a related field or related work experience.  Minimum of 10 years of experience in a data architect or analytics engineer role, with a proven track record of delivering complex data projects.  Strong knowledge of data modeling, data warehousing, and data integration techniques. Expertise in SQL and experience with programming languages (., Python, R).  Familiarity with BI tools (., Qlik Sense, Tableau) and data visualization techniques.  Excellent analytical and problem-solving skills, with the ability to translate business requirements into technical solutions.  Strong communication, collaboration, and project management skills, capable of working effectively with teams across the organization.Responsibilities  Owner of Expert Network / Modern Operations data architecture  Partner with data engineering and broader analytics teams to build durable and accurate data marts.  Build automated and scalable data pipelines that refresh frequently and in a short time frame.  Continuously monitor data and system performance, proposing and implementing improvements as needed.  Increase the velocity of the broader analytics team by reducing analyst time spent on data discovery, ETL, and data modeling.  Provide guidance and thought partnership to business leaders and product development teams on how to best harness available data in support of critical business needs and goals.  Work with data engineering and product development teams to identify and instrument new data sources. Ensure there is clean data at source and minimize the use of business logic in data marts.  Advise analysts on how to efficiently leverage big data (clickstream, transcripts) to be consumed by ML and Gen AI models. Provide requirements to data engineering to automate these pipelines.  Adapt ML models and Gen AI outputs into consumable data models for analysts to leverage  Work closely with business stakeholders and business data analysts to understand data requirements and deliver comprehensive analytics solutions.  Teach business data analysts data modeling and visualization tools best practices and mentor junior technical data analysts in order to build scalable data products for stakeholders.  Implement best practices for data governance, including data quality, metadata management, and data privacy. Intuit provides a competitive compensation package with a strong pay for performance rewards approach. The expected base pay range for this position is Bay Area California $179,500 - 243,000, Southern California $179,500 - 243,000. This position will be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs . Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing pay equity for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.

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