SENIOR DATA ANALYST
Job Summary
- Convert complex business challenges into structured analytical models and define quantifiable key performance indicators.
- Design and deploy interactive dashboards and high-level reports tailored for executive leadership.
- Conduct comprehensive investigative analysis spanning customer behavior revenue streams product performance and operational efficiency.
- Detect emerging patterns potential risks and strategic opportunities within the data landscape.
- Execute sophisticated analytical techniques including cohort studies retention tracking funnel optimization and predictive forecasting.
- Architect and construct analytical data models to support advanced querying and reporting needs.
- Proven expertise in SQL for complex data extraction and manipulation.
- Strong commercial acumen with the ability to align data insights with business objectives.
- Exceptional data storytelling skills to communicate findings effectively to non-technical audiences.
- Hands-on experience working with modern cloud data platforms.
- Demonstrated ability to bridge the gap between technical data engineering and business strategy.
Required Skills:
MANDATORY SKILLS 5 years of experience in Data Analytics including 3 years in a Senior Data Analyst role Advanced SQL Complex Joins CTEs Window Functions and Performance Tuning Strong experience with BI tools Power BI / Tableau / Looker Strong understanding of Data Modelling principles Experience handling large datasets Strong analytical and business problem-solving skills Excellent communication and data storytelling abilities PREFERRED SKILLS Azure Data Platform Azure Data Lake Azure Synapse Databricks SQL Server Delta Lake / Lakehouse Architecture Kafka / Event-driven or Streaming Data Python or R for advanced analytics Revenue and margin analytics Customer segmentation and forecasting
Required Education:
Bachelors Degree (MBA Preferred)