Senior SQL Data Analyst leading KPI, dashboard, and data-quality initiatives. Helping GIGA IT modernize local television advertising through automation and managed-services technology.
Responsibilities
Lead analytics initiatives from requirements gathering and data preparation through analysis, dashboard delivery, and recommendations
Define and maintain KPIs, metric definitions, and reporting standards aligned with business objectives
Investigate trends, segments, and customer or product behavior to identify opportunities and inform priorities
Build reusable analytical datasets and automate recurring analyses and reporting workflows
Ensure data accuracy and consistency through validation, reconciliation, and discrepancy investigation
Partner with Product, Engineering, and Delivery teams to clarify needs, resolve dependencies, and address information gaps
Make technical decisions independently, explain trade-offs, and escalate significant risks
Review analytical deliverables, mentor colleagues, and improve documentation and reusable practices
Apply data privacy, access, and governance controls throughout the analytical lifecycle
Requirements
Advanced SQL: complex joins, CTEs, window functions, aggregations, query optimization, and execution plan analysis
Proficiency in Power BI, Tableau, or Looker, including DAX, Power Query, LOD, LookML, connections, filters, drill-downs, and optimization
Data modeling: granularity, fact/dimension tables, relationships, and reusable semantic models
Python or R for data cleaning, analysis, visualization, and maintainable scripts
Descriptive and inferential statistics, sampling, hypothesis testing, regression, bias detection, and correlation vs. causation
Exploratory data analysis, segmentation, cohort analysis, trend analysis, and performance-driver identification
Data validation, source reconciliation, metric documentation, and data lineage
Advanced Excel formulas, pivot tables, lookups, and data preparation
Knowledge of ETL/ELT pipelines, data warehouses, update dependencies, latency, and schema changes
Git, peer review, reproducible analysis, and technical documentation
Role-based access control, sensitive-data handling, and secure distribution of analytical results
Benefits
An exciting growth journey and a never-ending ambition to develop as a company
A friendly, supportive and humble working culture where the team always comes first
Opportunities for professional development and personal growth
Passionate, high-performing and genuine colleagues
Results and well-being prioritized
Referral reward if a recommended friend or colleague is hired
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