Senior Data Analyst - Python / SQL

Description : Role Overview :

As a Senior Data Analyst, you will lead data analysis initiatives, design analytical models, and support strategic decision-making through data-driven insights.

You will collaborate closely with cross-functional teamsincluding product, marketing, finance, engineering, and operationsto understand business challenges and provide analytical solutions.

Key Responsibilities :

• Analyze large datasets from multiple sources to identify trends, patterns, and insights.
• Build dashboards, reports, and visualizations to support KPIs, OKRs, and business performance tracking.
• Conduct deep-dive analysis for problem-solving and strategic planning.
• Translate complex data findings into clear, actionable recommendations for leadership.
• Develop and maintain scalable data models, pipelines, and ETL processes.
• Ensure data accuracy, integrity, and consistency across all data sources.
• Collaborate with data engineering teams to improve data architecture and data warehouse design.
• Perform statistical and predictive modeling using advanced analytics techniques.
• Partner with business leaders to define analytics requirements and metrics.
• Lead analytical projects end-to-end, including scoping, data extraction, analysis, and presentation.
• Provide mentorship and guidance to junior analysts on best practices and analytical approaches.
• Present findings to senior management and influence key strategic decisions.
• Use BI / reporting tools such as Tableau, Power BI, Looker, or Qlik to create dashboards and visualizations.
• Utilize SQL for advanced data interrogation and manipulation.
• Employ Python or R for statistical analysis, data modeling, and automation.
• Work with cloud data platforms (AWS, GCP, Azure), data warehouses like Snowflake, BigQuery, or Redshift.

Required Qualifications :

(ref : hirist.tech)