Data Analyst w/ Python
<p>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. </p><p><br></p><p>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.</p><ul><li>Collaborate with FP& A analysts to understand business needs and translate them into data-driven solutions</li><li>Develop and maintain Python scripts for financial modeling, forecasting, and reporting</li><li>Clean, transform, and analyze financial datasets to uncover trends and anomalies</li><li>Build dashboards and visualizations to support monthly and quarterly reporting cycles</li><li>Automate repetitive data tasks and improve reporting efficiency</li><li>Support ad hoc analysis requests from finance and business teams</li></ul>
<ul><li>1-3 years of experience in data science, analytics, or a related field</li><li>Proficiency in Python (Pandas, NumPy, Jupyter, etc.)</li><li>Familiarity with FP& A concepts such as budgeting, forecasting, variance analysis</li><li>Experience working with financial data and reporting tools (Excel, Power BI, or similar)</li><li>Strong problem-solving skills and attention to detail</li><li>Ability to communicate technical findings to non-technical stakeholders</li></ul><p>Nice-to-have skills: </p><ul><li>Experience with SQL or cloud data platforms (e.g., Snowflake, BigQuery)</li><li>Exposure to financial modeling or corporate finance</li><li>Familiarity with version control (Git) and collaborative workflow</li></ul>
<h3 class="rh-display-3--rich-text">Technology Doesn't Change the World, People Do.<sup>®</sup></h3>
<p>Robert Half is the world’s first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles.</p>
<p>Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. <a href="https://www.roberthalf.com/us/en/mobile-app" target="_blank">Download the Robert Half app</a> and get 1-tap apply, notifications of AI-matched jobs, and much more.</p>
<p>All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit <a href="https://roberthalf.gobenefits.net/" target="_blank">roberthalf.gobenefits.net</a> for more information.</p>
<p>© 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking “Apply Now,” you’re agreeing to <a href="https://www.roberthalf.com/us/en/terms">Robert Half’s Terms of Use</a>.</p>
- Portland, OR
- remote
- Temporary
-
50.00 - 60.00 USD / Hourly
- <p>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. </p><p><br></p><p>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.</p><ul><li>Collaborate with FP& A analysts to understand business needs and translate them into data-driven solutions</li><li>Develop and maintain Python scripts for financial modeling, forecasting, and reporting</li><li>Clean, transform, and analyze financial datasets to uncover trends and anomalies</li><li>Build dashboards and visualizations to support monthly and quarterly reporting cycles</li><li>Automate repetitive data tasks and improve reporting efficiency</li><li>Support ad hoc analysis requests from finance and business teams</li></ul>
- 2025-11-11T18:14:08Z