The Sr. Finance Data Analyst is responsible for delivering accurate, timely, and actionable financial reporting and insights to support business decision-making. Working closely with Finance, Data & Analytics, and business stakeholders, this role develops dashboards, reports, and analytical solutions that support month-end reporting, forecasting, budgeting, KPI tracking, and continuous improvement initiatives. The ideal candidate combines strong SQL and BI reporting skills with a solid understanding of finance processes and data analysis.

Key Responsibilities

Develop, maintain, and enhance finance dashboards, reports, and analytical models supporting budgeting, forecasting, month-end reporting, and performance management.
Analyze large and complex datasets to identify trends, risks, opportunities, and business insights.
Partner with Finance and business stakeholders to gather requirements, define KPIs, and deliver reporting solutions.
Investigate and resolve data quality issues, discrepancies, and reporting anomalies.
Perform ad hoc analysis and provide actionable recommendations to support decision-making.
Improve reporting efficiency through automation, process enhancements, and data governance practices.
Collaborate with Data & Analytics teams to ensure consistent and scalable reporting logic.
Document reporting methodologies, metric definitions, data mappings, and business processes.
Support finance-related reporting, system, and data inquiries from internal stakeholders.

Required Qualifications

Bachelor's degree in Finance, Accounting, Economics, Statistics, Mathematics, Computer Science, or a related field.
Minimum 2 years of experience in Data Analytics, Business Intelligence, Reporting Analytics, or Finance Analytics.
Strong SQL skills with experience querying and analyzing large datasets.
Experience building dashboards and reports using Tableau or similar BI tools.
Strong understanding of financial reporting, accounting principles, month-end processes, and finance controls.
Excellent analytical, problem-solving, and stakeholder management skills.
Ability to communicate complex findings to both technical and non-technical audiences.

Preferred Qualifications

Experience in telecommunications, financial services, or other data-driven industries.
Exposure to data preparation and transformation tools such as Alteryx, dbt, or similar platforms.
Experience with Python or R for analytics and automation.
Understanding of data warehousing, ETL processes, and data governance.
Experience supporting KPI frameworks, forecasting models, and executive reporting.

Data Analyst, Finance (SQL and PowerBI)

Finance Data Analyst | SQL