Business Intelligence Analyst II - Sales and Analytics
Listed on 2026-03-10
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IT/Tech
Data Analyst, Data Science Manager
Location: Columbia
Job Posting End Date:
March 08
When you join the team at Unum, you become part of an organization committed to helping you thrive.
Here, we work to provide the employee benefits and service solutions that enable employees at our client companies to thrive throughout life’s moments. And this starts with ensuring that every one of our team members enjoys opportunities to succeed both professionally and personally. To enable this, we provide:
- Award-winning culture
- Inclusion and diversity as a priority
- Performance Based Incentive Plans
- Competitive benefits package that includes:
Health, Vision, Dental, Short & Long-Term Disability - Generous PTO (including paid time to volunteer!)
- Up to 9.5% 401(k) employer contribution
- Mental health support
- Career advancement opportunities
- Student loan repayment options
- Tuition reimbursement
- Flexible work environments
* All the benefits listed above are subject to the terms of their individual Plans.
And that’s just the beginning…
With 10,000 employees helping more than 39 million people worldwide, every role at Unum is meaningful and impacts the lives of our customers. Whether you’re directly supporting a growing family, or developing online tools to help navigate a difficult loss, customers are counting on the combined talents of our entire team. Help us help others, and join Team Unum today!
General SummaryAs a Business Intelligence Analyst II, this individual will play a critical role in shaping the future of data-driven decision-making porting the Operational Analysis and Insights (OAI) product within the Finance Value Delivery Model (VDM) under the Sales and Growth organization, this individual will be at the forefront of delivering complex, transformative digital solutions. These initiatives will focus on inforce and sales metrics reporting, advanced analytics, and modeling.
In this high-impact role, the individual will leverage tools such as Tableau and SQL to design intuitive dashboards, build scalable models, and surface insights that influence strategic business decisions. They will partner with cross-functional stakeholders and unlock new analytical capabilities, enabling actionable insights and delivering enterprise-wide value.
Principal Duties and Responsibilities- Support the design, implementation, and continuous improvement of data-driven solutions related to sales performance, inforce block dynamics, and revenue growth.
- Collaborate closely with Finance product owners, change teams, and stakeholders to execute on strategic business objectives.
- Develop and enhance data sets, dashboards, models, and analytical tools that empower the Sales and Growth team to monitor performance and identify trends and opportunities.
- Execute on high-impact initiatives influencing Finance, Sales, and P&L owners.
- Contribute to agile ceremonies, sprint planning, and stakeholder reviews in support of delivery.
- Conduct moderately complex data profiling and analysis to evaluate data sources to determine the best source for business information.
- Acquiring, transforming and translating data into actionable dashboards, reports, algorithms or datasets.
- Performing moderately complex statistical analysis and presenting findings to guide, influence and advise leadership.
- Collaborate with data engineers to perform data validation and testing activities as appropriate.
- Continuously develop and build upon existing in-depth knowledge of the insurance industry, company and competitor landscape.
- Continuously develop and build upon existing in-depth knowledge of data stored in company databases as well as emerging trends in business intelligence technologies.
- Works directly with internal customers to refine requirements and validate output to ensure solutions will meet expectations.
- May provide mentoring, coaching and developmental support to lower level BI Analysts.
- Bachelors Degree preferred, and/or equivalent experience.
- 4+ years experience with demonstrated success at a BI Analyst I level or comparable data analytics related field.
- Proficient in analytics programming languages (SQL/R/Python).
- Demonstrated expertise with modern BI toolsets (Tableau, Alteryx, Power
BI, or equivalent). - Tableau…
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