Data Analyst
Description
Responsibilities:
Data Exploration, Querying & Metric Definition
Write and optimize complex SQL queries against existing data warehouses/marts to extract datasets for business analysis.
Define, document, and standardize business KPIs and metric logic in collaboration with business stakeholders.
Profile and validate analytical datasets to ensure metric accuracy and consistency across reports.
Partner with Data Engineering by defining business logic and requirements for new data marts, schema changes, or pipeline additions.
Visualization & Dashboard Development
Design, build, and maintain interactive enterprise dashboards.
Translate key business metrics (KPIs) into intuitive visual reports that drive operational decisions.
Implement performance optimizations, user access controls, and data refresh schedules for BI dashboards.
Business Analysis & Insights
Conduct exploratory data analysis (EDA) to uncover trends, anomalies, patterns, and growth opportunities.
Perform root-cause analysis on operational metrics and clearly communicate underlying drivers to business leaders.
Conduct ad-hoc quantitative analysis to answer time-sensitive strategic questions.
Stakeholder Collaboration & Documentation
Gather business requirements and translate ambiguous requests into technical analytical specifications.
Maintain metric catalogs and dashboard user documentation.
Present key findings and actionable recommendations to non-technical business partners using clear narrative storytelling.
Qualifications:
Bachelor’s degree in Information Technology, Computer Science, Statistics, Mathematics, Engineering, or related field
3 to 7 years of experience in Power BI & Data Visualization creating production grade dashboards
Strong SQL & Data Querying: Advanced proficiency (CTEs, window functions, complex joins, subqueries, query optimization).
Experience with Python (Pandas, NumPy) for exploratory analysis, statistical modeling, or data wrangling.
Familiarity in comfort querying cloud data warehouses using prebuilt dimensional models (Star/Snowflake schemas).
Strong oral and written English communication skills, with proven ability to explain complex data trends to Executives.