About the role
Responsibilities:
- Analyze large and complex datasets to generate actionable business insights and support strategic decision-making.
- Design, develop, and maintain dashboards and reports to monitor business performance and key metrics.
- Translate data findings into compelling narratives and presentations for business stakeholders.
- Collaborate with cross-functional teams to identify business problems, define success metrics, and recommend data-driven solutions.
- Perform exploratory data analysis, trend analysis, and root-cause investigations to uncover growth opportunities and operational improvements.
- Automate reporting processes and improve data workflows for efficiency and scalability.
Requirements:
- Strong proficiency in Advanced SQL, including Window Functions, Common Table Expressions (CTEs), query optimization, and complex data transformations.
- Intermediate-level proficiency in Python for data analysis, automation, and data manipulation.
- Hands-on experience with at least one dashboarding tool such as Tableau, Power BI, Looker, or similar platforms.
- Strong working knowledge of Google Sheets (GSheets), including advanced formulas, data validation, pivot tables, and reporting.
- Excellent problem-solving and analytical thinking skills with the ability to break down complex business challenges.
- Strong business acumen with the ability to understand business objectives and translate them into analytical solutions.
- Exceptional communication and stakeholder management skills, with the ability to build impactful stories from data and present insights effectively to both technical and non-technical audiences.
Preferred Qualifications:
- Experience working in fast-paced, data-driven environments.
- Familiarity with data modeling, KPI development, and business performance measurement.
- Experience collaborating with product, operations, marketing, or business teams to drive measurable outcomes.