Job Details

Job Title: Data Engineer / Business Intelligence Engineer
Location: San Jose, CA 95110 (Hybrid – 3 days/week onsite)
Duration: 8 months
Contract Type: W2 only
Pay Rate: $95.07/Hour

The ideal candidate for this position is part analyst, part developer, and part influential leader. In this role, you will advise business leaders by providing data-centric strategic direction to identify and address business issues and opportunities. You will play a key role in developing, understanding, and executing strategic goals to create capacity within the Pricing & Revenue Operations organization. Collaboration with experts across finance, engineering, data science, programming, and UI/UX will be essential to conduct analyses, develop insights, and deliver actionable recommendations.

1. Create sophisticated and intuitive business intelligence tools that provide automation and intelligence programs to analysts, management, and executives.
2. Design, develop, and maintain data integration pipelines utilizing APIs to extract, transform, and load data from various sources into target systems.
3. Utilize Power BI navigation features (e.g.: bookmarks, drill-through) to guide users through compelling data-driven stories.
4. Synthesize complex data sets into insights and build analytics stories that lead to strategic business decisions.
5. Use SQL, Python, Databricks, Snowflake, and SAP HANA to curate and query large data sets, perform analyses, and create custom views.
6. Define acceptance criteria for testing and collaborate closely with engineering, QE, developers, and users to create and implement test plans.

1. 8+ years of experience in Business Intelligence and Analytics
2. Degree in CS, IT, Statistics, or related fields; and coursework or job experience with advanced data and analytics
3. Advanced hands-on experience with enterprise business intelligence software applications including Microsoft Power BI, Microsoft Power Apps, and Microsoft Excel; SnapLogic is a plus.
4. Exceptional ability to design and create data visualizations that are intuitive, informative, and impactful.
5. Advanced experience using SQL to extract data, understand data structures, and run queries.
6. Outstanding problem-solving and analytical skills including talent for conducting research, analyzing data, developing hypotheses, and synthesizing recommendations.
7. Ability to coordinate with colleagues and stakeholders across the globe.
8. Record of consistently meeting deadlines while working in a fast-paced environment.
9. High degree of intellectual curiosity and ability to absorb new concepts quickly.
10. Self-starter with an ability to successfully lead through ambiguity and prioritize multiple projects and partners.