Senior Data Analyst

Senior Data Analyst

Position Summary - The Senior Data Analyst is responsible for transforming complex data into actionable insights that support strategic and operational decision-making across the organization. This role combines advanced analytical capabilities, data modeling expertise, and business acumen to drive efficiency, optimize performance, and identify growth opportunities. The ideal candidate is comfortable navigating large datasets, automating reporting pipelines, and communicating analytical findings to both technical and non-technical audiences.

Key Responsibilities

Data Analysis & Modeling o Design, build, and maintain analytical models to track business KPIs, operational efficiency, and financial performance. o Perform exploratory data analysis (EDA) to uncover trends, anomalies, and opportunities. o Validate data integrity across multiple systems and ensure consistency across sources.

Reporting & Visualization o Develop interactive dashboards and automated reports using Power BI o Present insights through clear narratives that enable data-driven decisions at all organizational levels. o Implement data storytelling techniques to bridge the gap between analytics and business strategy.

Data Infrastructure & Automation o Collaborate with data engineers to optimize ETL pipelines and improve data availability. o Leverage SQL, Python, or R for data extraction, transformation, and analysis. o Develop scalable automation processes to reduce manual reporting and increase analytical accuracy.

Business Partnering o Work cross-functionally with stakeholders in Finance, Operations, and Technology to understand business challenges. o Translate analytical findings into actionable recommendations and measurable impact. o Mentor junior analysts and contribute to best-practice documentation and process standardization.

Required Skills & Qualifications

Bachelor's or Master's degree in Data Science, Statistics, Economics, Computer Science, or related field.

5+ years of experience in data analytics or business intelligence roles.

Strong proficiency in: o SQL (complex joins, CTEs, performance optimization) o Power BI o Excel (advanced formulas, pivoting, modeling) o Python or R for statistical analysis

Experience working with cloud-based data ecosystems (Azure).

Strong understanding of data modeling, ETL, and database design.

Excellent communication and presentation skills.

Preferred Skills

Experience with DAX / M Query (Power BI).

Familiarity with APIs, data automation, and integration tools.

Knowledge of financial modeling, forecasting and analytics.

Experience in multinational or shared service environments.