Sr BI Analyst
Listed on 2026-07-11
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IT/Tech
Data Analyst, Business Systems & Technology Analysis, Business Intelligence
The Senior Business Intelligence Analyst is responsible for development, implementation and maintenance of data-driven solutions to support strategic decision‑making. This role involves working closely with various business partners to gather requirements, perform data analysis, and create insightful reports and dashboards.
Primary Responsibilities- Responsible for transforming data into easily understandable visualizations and reports that enable informed decision making and insights.
- Develop, implement, and maintain advanced BI dashboards and reports using tools like Power BI, Tableau, or similar.
- Ensure data accuracy, integrity, and security in all BI activities.
- Document BI processes and procedures.
- Comfortable owning projects end‑to‑end, including communicating project status to business leaders and sharing outcomes and value after completion.
- Demonstrated ability to gather and clarify requirements and serve as a key connection point with business partners.
- Strong communication skills with the ability to build relationships and collaborate effectively with business stakeholders.
- Proven self‑starter with the ability to take initiative and proactively establish relationships across teams.
- Ability to ramp quickly by learning the business, identifying high‑value work, and navigating data sources and internal support channels.
- Experience supporting both technical, data‑driven initiatives and business‑facing dashboarding or reporting needs.
- Ability to navigate enterprise environments, including securing appropriate access, tools, and systems needed to perform the role.
- Experience building credibility and trust with stakeholders, particularly when supporting partners deeply familiar with their business domain.
- Experience working in a growth or build environment, contributing to the development of a new or evolving team capability.
- Interest in expanding both technical and business acumen, with the ability to grow within the role.
- Strong ability to communicate insights and outcomes in a way that clearly conveys business impact and value.
- Bachelor’s degree or equivalent experience in Analytics, Business, Information Systems, Computer Science, Finance, or a related field.
- Preferred:
Advanced degree in a quantitative or analytics‑related discipline. - Preferred:
Relevant certifications or training in data analytics, business intelligence, or data visualization tools.
Hours per Week: 40
Work Schedule:
Monday through Friday, 8:30 AM to 5:00 PM; no weekend hours required.
Salary range: $100,000 – $140,000 per year, plus an opportunity to earn an annual discretionary bonus. Actual pay is based on factors including work location, skills, and experience.
BenefitsWe offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. For an overview of our benefits, visit the benefits page.
Equal Employment OpportunityCitizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws.
At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.
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