Job Description
Job Description
Robert Half is looking for a Data Analyst with FP& A analysts experience to support a client in technology industry. This is a contract position.
This is a hands-on role ideal for someone early in their data science career who’s eager to apply Python skills to FP& A challenges. This person will work closely with finance and analytics stakeholders to build tools, automate workflows, and extract insights that drive smarter business decisions.
- Collaborate with FP& A analysts to understand business needs and translate them into data-driven solutions
- Develop and maintain Python scripts for financial modeling, forecasting, and reporting
- Clean, transform, and analyze financial datasets to uncover trends and anomalies
- Build dashboards and visualizations to support monthly and quarterly reporting cycles
- Automate repetitive data tasks and improve reporting efficiency
- Support ad hoc analysis requests from finance and business teams
- 1-3 years of experience in data science, analytics, or a related field
- Proficiency in Python (Pandas, NumPy, Jupyter, etc.)
- Familiarity with FP& A concepts such as budgeting, forecasting, variance analysis
- Experience working with financial data and reporting tools (Excel, Power BI, or similar)
- Strong problem-solving skills and attention to detail
- Ability to communicate technical findings to non-technical stakeholders
Nice-to-have skills:
- Experience with SQL or cloud data platforms (e.g., Snowflake, BigQuery)
- Exposure to financial modeling or corporate finance
- Familiarity with version control (Git) and collaborative workflow