Senior Data Analyst
<p>Join an innovative company driving data excellence to empower business decisions. We are looking for a seasoned professional passionate about turning data into impactful insights, who thrives in collaborating across organizational units to deliver measurable results.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Partner with business units to define analytics strategies aligned with organizational goals and objectives.</li><li>Apply advanced analytics, modeling, and forecasting techniques to support decision-making and business growth.</li><li>Act as a “data storyteller,” translating complex datasets into actionable insights for nontechnical stakeholders.</li><li>Design, build, and maintain analytic models focusing on customer behavior, operational efficiency, and revenue generation.</li><li>Collaborate with Data Engineering teams to ensure the implementation of scalable and efficient data tools.</li></ul><p><br></p>
<p><strong>Minimum Qualifications:</strong></p><ul><li>Bachelor’s degree in Computer Science, Business Analytics, Statistics, or related field.</li><li>7+ years of experience in analytics roles.</li><li>5+ years of experience working in cross-functional business partnerships.</li><li>Demonstrated ability to deliver actionable insights with measurable business impact.</li><li>Strong communication skills and business acumen to align analytics with organizational strategy.</li></ul><p><strong>Must-Have Skills:</strong></p><ul><li>Advanced proficiency in SQL (non-negotiable).</li><li>Expertise in data visualization tools such as Power BI or Tableau (highly preferred).</li></ul><p><strong>Nice-to-Have Skills:</strong></p><ul><li>Experience with Python, especially utilizing machine learning libraries.</li><li>Working knowledge of AI/Machine Learning techniques.</li><li>Familiarity with tools such as Azure ML, Power Automate, and Visual Studio.</li><li>Insurance industry experience or understanding.</li><li>Knowledge of Data Governance principles and their importance.</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>
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<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>
- Oakbrook Terrace, IL
- onsite
- Contract / Temporary to Hire
-
52.25 - 60.50 USD / Hourly
- <p>Join an innovative company driving data excellence to empower business decisions. We are looking for a seasoned professional passionate about turning data into impactful insights, who thrives in collaborating across organizational units to deliver measurable results.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Partner with business units to define analytics strategies aligned with organizational goals and objectives.</li><li>Apply advanced analytics, modeling, and forecasting techniques to support decision-making and business growth.</li><li>Act as a “data storyteller,” translating complex datasets into actionable insights for nontechnical stakeholders.</li><li>Design, build, and maintain analytic models focusing on customer behavior, operational efficiency, and revenue generation.</li><li>Collaborate with Data Engineering teams to ensure the implementation of scalable and efficient data tools.</li></ul><p><br></p>
- 2025-10-28T16:23:43Z