Associate Data Analyst, Renewable Energy
DTE Energy
ETLOracleSQLTableau
Senior Product Data Analyst
CloudBees
full-time
Posted on:
Origin: • 🇺🇸 United States
Visit company websiteJob Level
Senior
Tech Stack
ETLSQLTableau
About the role
- Own product data strategy & reporting automation: develop and implement scalable data solutions that streamline reporting and analytics.
- Perform quantitative analysis: deep dives into product and business data to unlock insights and opportunities.
- Support hypothesis testing: collaborate with Product Managers to validate product hypotheses with rigorous data analysis.
- Data analysis & insights: analyze large datasets to identify patterns, trends, and key insights related to user behavior, product usage, and market dynamics.
- Reporting & visualization: build and maintain dashboards and reports to monitor KPIs and communicate findings effectively.
- Self-service dashboards & data literacy: create and maintain self-service dashboards to democratize data access; lead "brown bag" sessions to educate teams.
- Data quality assurance: ensure data accuracy and consistency, partnering with relevant teams to resolve data issues.
- Forecasting & predictive analytics: develop forecasting models to estimate product performance and uncover growth opportunities.
- Cross-team collaboration: work closely with the business data science team while maintaining focus on product organization’s data needs.
- Expected impacts: improved decision-making, cohesive data structure, higher feature success rates, faster iteration cycles, increased data literacy.
Requirements
- 8+ years of experience in data analysis, statistical modeling, and performance optimization.
- Expertise in SQL, including advanced query writing and performance tuning.
- Mastery of Excel, including complex formulas and modeling techniques.
- Experience with data visualization tools such as Tableau or similar.
- Experience with data tools including product analytics platforms (Amplitude) and customer data platforms (Segment).
- Strong experience in statistical analysis, root cause analysis, and A/B testing.
- Knowledge of data modeling, warehousing, and ETL pipeline design.
- Ability to analyze big data volumes efficiently and translate findings into business recommendations.
- Exceptional communication skills, with the ability to present data-driven narratives to product teams and executives.
- Preferred: experience in consulting or data analysis role focused on product analytics; experience with product-led growth; familiarity with product management methodologies; experience working cross-functionally with engineering, data science, and product teams.
