Finance Data Analytics Manager
About The Position
The Finance Data Analytics Senior Manager will build and own the data foundation for DeployCo’s AI-native FP&A function. Reporting to the FP&A lead, this hands-on role combines finance expertise with data skills to create reliable pipelines, maintain trusted datasets, analyze performance, and deliver recommendations. The role owns the finance data lifecycle, from connecting source systems and defining financial metrics to explaining business results. Working with FP&A, Accounting, and cross-functional teams, the role supports budgeting, rolling forecasts, revenue and pipeline analysis, headcount and capacity planning, and management reporting. The position builds and maintains underlying finance data systems and uses the resulting data to answer business questions, identify risks and opportunities, and recommend actions as the finance function grows. The role is based in New York City.
Requirements
- Approximately 6–10 years of relevant experience across finance, FP&A, accounting, analytics, data engineering, or finance systems, with meaningful hands-on experience in both finance and data.
- Hands-on experience personally building and maintaining data pipelines and financial datasets used for recurring analysis and reporting, including ongoing troubleshooting and support.
- Strong SQL and practical proficiency in Python or a comparable scripting language, including experience integrating APIs, querying databases, and automating data transformations.
- Strong understanding of financial statements and hands-on experience in budgeting, forecasting, and revenue, cost, margin, and variance analysis; ability to explain business drivers behind the numbers.
- Practical experience with data modeling, ETL/ELT, cloud data warehouses, and scheduled workflows, including turning inconsistent source data into reliable, well-documented finance datasets.
- Strong Excel or Google Sheets skills and experience building dashboards and reporting in a BI tool such as Power BI, Tableau, or Looker.
- Experience applying data quality and control practices, including source reconciliations, automated checks, version control, documentation, and appropriate access to sensitive finance data.
- Clear communication with finance, technical, and business stakeholders; ability to translate ambiguous questions into analyses and recommendations and explain assumptions and limitations.
- Ability to take ownership from initial build through ongoing maintenance, analysis, and reporting, prioritize business needs, and improve processes as the finance function grows.
Responsibilities
- Build and maintain finance data pipelines and models connecting ERP, planning, CRM, HRIS, and project delivery systems, with consistent financial metric definitions.
- Own data quality and reliability through monitoring, troubleshooting, source reconciliations, automated checks, documentation, and access controls.
- Analyze revenue, margins, pipeline conversion, and workforce capacity; explain performance drivers and variances; and maintain models for budgeting, forecasting, and scenario analysis.
- Deliver management reporting and enable self-service analysis through trusted datasets, dashboards, and documented metrics.
- Use Codex and ChatGPT to analyze finance data, develop recommendations, and automate recurring workflows, while validating code, calculations, and conclusions and keeping outputs traceable.
- Partner with FP&A, Accounting, IT, Engineering, and business teams to prioritize finance data needs, use approved platforms, and support tool adoption.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
