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Senior Data Analyst

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Job Description - Senior Data Analyst


Job Description: Senior Data Analyst (12+ Years Experience)

Role Summary

We are seeking a highly experienced Senior Data Analyst with 12+ years of expertise in data analysis, reporting, and business intelligence. The role involves translating complex datasets into actionable insights, enabling strategic decision-making, and driving data-driven culture across the organization.

Key Responsibilities

  • Data Analysis: Analyze large and complex datasets to identify trends, patterns, and anomalies.

  • Reporting & Dashboards: Design, develop, and maintain interactive dashboards and reports using BI tools (Power BI, Tableau).

  • KPI Definition: Define, monitor, and refine KPIs and business metrics aligned with organizational goals.

  • Stakeholder Collaboration: Partner with business stakeholders to gather requirements and deliver tailored analytical solutions.

  • Data Quality: Ensure accuracy, consistency, and integrity of data across multiple systems.

  • Strategic Insights: Translate analytical findings into actionable recommendations for leadership.

  • Documentation: Prepare functional specifications, data dictionaries, and process documentation.

  • Mentorship: Guide junior analysts and contribute to building analytical capabilities within the team.

Required Skills

  • Advanced SQL: Expertise in writing complex queries, stored procedures, and performance optimization.

  • Excel Mastery: Strong proficiency in advanced formulas, pivot tables, macros, and data modeling.

  • BI Tools: Hands-on experience with Power BI, Tableau, or equivalent visualization platforms.

  • Analytical Thinking: Ability to interpret data, identify trends, and provide actionable insights.

  • Visualization Skills: Expertise in designing intuitive and impactful dashboards and reports.

  • Data Governance: Understanding of data quality frameworks, lineage, and compliance standards.

  • Communication: Strong ability to present complex findings to non-technical stakeholders, including senior leadership.

  • Domain Knowledge: Experience working across industries with exposure to finance, operations, or customer analytics.

Preferred Qualifications

  • Experience with cloud data platforms (Azure, AWS, GCP).

  • Knowledge of Python/R for advanced analytics and automation.

  • Familiarity with machine learning concepts for predictive insights.

  • Proven track record of leading data projects and driving adoption of BI solutions.

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