Senior Data Analyst

We are seeking a Senior Data Analyst to support advanced analytics, business intelligence, reporting, and data-driven decision-making initiatives. This role will work closely with stakeholders, leadership teams, and clients to transform complex data into meaningful insights that drive strategic business outcomes.

Read on to fully understand what this job requires in terms of skills and experience If you are a good match, make an application.

The ideal candidate will bring extensive experience in SQL, Python, Power BI, Tableau, data modeling, and financial analytics, along with the ability to effectively communicate findings to both technical and non-technical audiences.

Key Responsibilities

• Design, develop, and maintain dashboards, reports, and business intelligence solutions.
• Build and optimize advanced SQL queries, data models, and reporting processes.
• Develop interactive dashboards and visualizations using Power BI and Tableau
• Leverage Power BI DAX and Power Query (M Language) to create advanced reporting and analytical solutions.
• Utilize Python (Pandas, NumPy, Matplotlib) for data analysis, automation, and ETL development.
• Build and maintain data integration and ETL processes across multiple data sources.
• Perform statistical analysis, forecasting, and predictive modeling to support business planning and operational decision-making.
• Analyze financial, budgeting, and operational data to identify trends, risks, and opportunities.
• Collaborate with business stakeholders to gather requirements and deliver actionable insights.
• Present findings and recommendations to clients, executives, and leadership teams.
• Lead analytics initiatives and provide guidance and mentorship to junior analysts.
• Ensure data integrity, quality, and compliance with reporting standards and governance requirements.

Required Qualifications

• 7+ years of experience in data analytics, business intelligence, reporting, or a related field.
• Advanced SQL development and data modeling experience.
• Strong Python experience, including Pandas, NumPy, Matplotlib, and ETL scripting.
• Expertise with Power BI, including complex DAX calculations and M-language development.
• Experience creating dashboards and visualizations in Tableau.
• Experience with ETL processes and data integration.
• Knowledge of statistical analysis, forecasting, and predictive analytics.
• Experience supporting finance, accounting, budgeting, or financial analysis functions.
• Experience leading projects and/or mentoring junior analysts.
• Strong communication, presentation, and stakeholder management skills. xhyhwjd
• Ability to explain complex technical concepts to business users and executives.