Accountabilities

You will lead end-to-end analytics initiatives and contribute to the development of a strong enterprise data foundation, including:

• Owning medium-complexity analytics projects from requirements definition through delivery, in close collaboration with business stakeholders.
• Analyzing structured and unstructured data from multiple sources to identify trends, patterns, and actionable insights.
• Designing and building dashboards and reports using BI tools such as Power BI or Looker to support business decision-making.
• Translating business requirements into technical specifications, including KPIs, calculations, and business rules.
• Conducting exploratory data analysis and hypothesis testing to validate assumptions and support strategic decisions.
• Collaborating with data engineering teams to ensure proper data flows, structures, and integrations for analytics use cases.
• Contributing to data governance by maintaining definitions, metadata, and documentation of data lineage.
• Supporting data quality initiatives to improve accuracy, consistency, and trust in organizational data.
• Working with cross-functional teams to identify opportunities for process optimization, revenue growth, and improved customer experience.
• Applying basic data modeling concepts and supporting ETL and data pipeline development efforts.
• Communicating insights clearly through data storytelling tailored to both technical and non-technical audiences.

Requirements

The ideal candidate is a detail-oriented and analytical professional with strong technical BI capabilities and business acumen:

• Bachelor’s degree in a quantitative field such as mathematics, statistics, data analytics, or equivalent experience.
• 3+ years of experience in business intelligence, data analysis, statistics, or a related analytical role.
• Strong proficiency in SQL, including writing and optimizing complex queries.
• Solid understanding of data modeling concepts such as star and snowflake schemas.
• Hands-on experience with BI and visualization tools such as Power BI, Looker, or Tableau.
• Familiarity with ETL processes and collaboration with data engineering teams.
• Exposure to Python or other scripting languages is a plus.
• Strong analytical thinking, problem-solving skills, and attention to data accuracy.
• Ability to communicate insights clearly and translate data into business recommendations.
• Experience supporting data governance, data quality, and metadata management practices.
• Comfortable working independently in a fast-paced, collaborative environment.

Benefits

• Competitive salary range of $80,000 to $100,000, based on experience and qualifications.
• Annual bonus eligibility based on company performance and role-specific criteria.
• Comprehensive benefits package including health, dental, and vision insurance.
• Retirement savings plan with employer contributions.
• Paid time off, sick leave, and parental leave programs.
• Exposure to a large-scale, mission-driven data and analytics environment.
• Opportunities to work with modern BI tools and advanced data ecosystems.
• Inclusive workplace culture that values diverse perspectives and continuous learning.