Senior Data Analyst

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.

• 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.

• 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.

• 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.