Finance Data Analyst (PowerBI)

Finance Data Analyst (PowerBI)

6 Months contract Later hire (C2H)

Location: Onsite Vienna, VA

Local Candidates: Must be within 40 miles

Interview: Onsite (F2F) Interview Required

Job description:

The Data Analyst will work with financial and operational data to create insightful reports and dashboards, enabling business decision-making and supporting our global strategy.

You will take ownership of projects and work with team members to deliver solutions that meet the needs of internal functions and leadership of the Firm.

The ideal candidate will have a solid data foundation and experience using Power BI in data analysis, data transformation, modeling, and visualizations with an appetite for continuous learning and development. This role is an exciting opportunity to join an accomplished and professional organization with a sustained track record of growth, development, and innovation.

Your career here is yours to own and grow alongside the Firm.

Responsibilities

• Financial Analysis & Reporting: Support budgeting, forecasting, variance analysis, financial reporting, and dashboard development by analyzing financial data and providing data-driven insights.
• Data Integration: Extract, transform, and consolidate financial data from multiple sources, including Excel, Azure Data Lakes, and other financial systems, to support unified reporting.
• Financial Analytics: Perform financial analysis, trend analysis, and basic scenario modeling to support business and financial planning.
• Database Connectivity: Connect to and query data warehouse and database systems to access and analyze consolidated financial data.
• Stakeholder Collaboration: Work with Finance, Accounting, and other business stakeholders to understand reporting needs and deliver relevant insights.
• Process Improvement: Identify opportunities to improve reporting processes, automate manual tasks, and enhance data quality.

Requirements

• 2+ years of experience with SQL and Business Intelligence (BI), with the ability to write queries and retrieve data from databases for analysis and reporting.
• Experience with data visualization and BI tools such as Tableau, Power BI, or similar.
• Advanced Excel skills, including pivot tables, Power Query, and financial modeling.
• Strong analytical and problem-solving skills, with the ability to work with data from multiple sources.
• Education: Bachelor s degree in Finance, Accounting, Economics, or a related quantitative field, or equivalent relevant experience. Academic coursework in corporate finance or a related area is a plus.
• Financial Knowledge: Understanding of basic financial concepts, including chart of accounts, general ledger, cost centers, profit centers, and financial statements.
• Analytical Mindset: Ability to translate business and financial requirements into data and reporting solutions.
• Communication: Good written and verbal communication skills, with the ability to present financial data and insights to non-technical stakeholders.

Nice to Have

• Experience with cloud data platforms such as Azure, AWS, or Google Cloud.
• Familiarity with modern data warehouse architectures such as Snowflake, Redshift, or BigQuery.
• Knowledge of financial regulations and compliance requirements, including SOX, GAAP, or IFRS.
• Experience working on projects with cross-functional teams.
• Knowledge of Python or R for data analysis or statistical analysis.