Senior Business Intelligence Analyst
UnumAbout the role
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 Summary:
The Senior Business Intelligence Analyst serves as a subject matter expert in data analysis, preparation, and visualization, with a focus on supporting marketing strategy. This role translates complex data into actionable insights that guide decision-making around campaign performance, customer segmentation, lead generation, and brand analytics.The analyst will lead the design and implementation of large-scale BI projects, create high-impact dashboards and reports, and provide thought leadership to business stakeholders. Working in an evolving and fast-paced environment, this position requires a balance of technical expertise, business storytelling, and stakeholder management. The Senior BI Analyst also mentors junior analysts, fostering growth and strengthening the analytics function.
Job Specifications:
Bachelor’s degree preferred; 6+ years of progressive experience in BI, analytics, or related fields
Strong expertise in SQL and Tableau
Proficiency in Python or R (nice-to-have; ability to interpret and run code)
Familiarity with Alteryx or Power BI (bonus, not required)
Strong knowledge of data profiling, statistical analysis, and data modeling concepts.
Experience with data warehouses, transactional databases, APIs, and cloud-based environments
Proven ability to translate business needs into technical solutions
Strong communication and presentation skills, with the ability to influence at all levels
Demonstrated success working in ambiguity and adapting to changing requirements
Experience mentoring and developing junior team members
Agile and resilient in complex, evolving environments
Strong problem-solving skills and creative, analytical thinking
Ability to own and reverse engineer code/dashboards to move projects forward
Principal Duties and Responsibilities:
Partner with marketing and business stakeholders to define requirements and translate them into impactful dashboards, reports, and data solutions
Conduct complex data profiling, statistical analysis, and validation to ensure data integrity and actionable insights
Deliver insights that guide marketing strategies such as demand generation, prospect engagement, quote-to-sale conversions, and campaign performance optimization
Collaborate with data engineers to validate and test data pipelines, ensuring accuracy and scalability
Build intuitive and dynamic Tableau dashboards to support decision-making, with a focus on efficiency and usability
Present findings to leaders, including senior executives—using clear storytelling that ties data to business outcomes
Mentor and coach BI Analysts, fostering skill development and ensuring alignment to team goals
Stay current with BI technologies and industry trends, continuously improving analytic approaches and toolsets
Contribute to a collaborative, pod-based team environment, embracing agile methods and adapting to shifting priorities
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