Quick Overview
Seniority
Mid Senior
Work mode
Hybrid
Location
Vienna, VA, United States
Posted
23 hours ago
SQLPower BIPython
Job Description
Data Analyst - Strategic Finance and Operations -W2
Long term contract
Location: Vienna, VA 22182
Job description:
- In this role within Platforms & Partnerships, Strategic Finance and Operations team, 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.
Finance, Accounting, and Reporting
- Translate inputs from people roster (FTEs and ICs), vendor agreements (SOWs) and invoices into budget and forecast models
- Assist with tracking P&P team spend for budget, actual and forecast at the platform level
- Assist in budgeting and forecasting processes; support the preparation and presentation of materials for firm leadership.
- Review and validate vendor invoices and time/expense submissions; ensure accuracy and track to estimated capitalization
- Support P&P team with billing code set up, coding of invoices and tracking of spend
- Review and reconcile vendor invoices with internal reports to ensure hours and billing rates are accurately captured before payment is made to vendors
- Provide necessary data to finance stakeholders (strategic finance, FP&A, tax) for ISL chargeback process, forecasting and quarterly and yearly compliance purposes
- Prepare, review, and distribute monthly reports including P&L for each platform, data, and financial analysis to leadership; respond to ad-hoc data/analysis requests.
- Assist in preparing internal finance/accounting presentations to senior management.
Data, Analytics & Technology
- Translate business requirements into clear, actionable design and implementation plans.
- Develop models, specifications, workflows, and diagrams to support delivery of data analytics for proactive decision making for product managers and leadership.
- Design and maintain dashboards, reports, and KPI scorecards using Power BI and other tools in alignment with business needs.
- Support P&P team in calculating portfolio management metrics, including revenue and ROI, collaborating with ISL and finance stakeholders to understand data nuances and consolidating data from various data sources
- Test, validate, and troubleshoot solutions to ensure data accuracy and functionality.
- Manage and prioritize competing demands from internal and external stakeholders; find creative solutions to meet diverse data needs.
- Evaluate and manage sensitive, confidential information and communications with sound judgment.
- Collaborate with finance and technology teams to enhance revenue tracking and forecasting capabilities.
Education & Experience
- Bachelor s degree required (Accounting, Finance, Business, Economics, Computer Science, Data Science, Statistics, or related fields preferred).
- 1 4 years of relevant experience in finance, accounting, data analysis, sales operations, or consulting.
- Experience with Power BI, SQL, Excel (advanced), and financial/operational data analysis preferred.
- Experience with SAP and CRM systems (e.g., ServiceNow, Radius) is a plus.
Skills & Knowledge
- Proficiency in MS Word, Excel, PowerPoint, and Outlook.
- Strong understanding of financial reporting, budgeting, and forecasting
- Familiarity with relational and non-relational databases; experience with SQL scripting required, python preferred.
- Power BI experience including data modeling, DAX, M Query, and implementing security models (e.g., row-level restrictions).
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