Senior Business Intelligence Analyst
About The Position
The Senior Business Intelligence Analyst will collaborate with stakeholders across the business, Data & Analytics, and Technology identifying requirements, guiding delivery, and shaping the future of our data ecosystem. The role has two primary focuses: 1. Driving insight and analytics identifying, quantifying, and prioritizing opportunities in support of business priorities 2. Supporting the road mapping discussions across Business Intelligence, Data Engineering, and Data Science initiatives. This role will also partner with the BI scrum master in daily stand-ups and run agile sprints for the BI and Data Engineering teams, ensuring smooth execution and measurable outcomes.
Requirements
- Bachelor’s degree in Statistics, Math, Computer Science, or related field (or equivalent experience)
- 5+ years of experience defining analytics requirements and delivering solutions in an Agile environment.
- Experience developing insight using ai
- Proven experience leading roadmaps for BI, Data Engineering, and Data Science teams
- Strong experience running stand-ups and agile ceremonies to manage sprint delivery desirable.
- 5+ years of hands-on experience with SQL, Python as programming languages
- Experience using visualization tools (e.g., Tableau, Power BI, MicroStrategy)
- 3+ years of Data Governance experience, including business glossary and lineage
- Exposure to multiple database platforms (e.g., Oracle, Snowflake, MS SQL, AWS RDS/Redshift)
- Familiarity with integration tools (e.g., Talend, Kafka, DataStage, Oracle Data Integrator)
- Strong business acumen with preferred experience in Warranty/Insurance, Field Services, Contact Centers, or Marketing
- Excellent communication, facilitation, and stakeholder engagement skills
Nice To Haves
- MDM and cloud data platform experience is a
Responsibilities
- Develop a deep understanding of business needs to shape targeted analytical
- Analyze business processes and functional requirements to support data-driven
- Conduct in-depth data analysis to identify KPIs, success metrics, and opportunities for optimization.
- Clearly communicate findings, prototypes, and recommendations to both technical and business stakeholders
- Lead roadmap planning sessions across BI, Data Engineering, and Data Science initiatives, ensuring alignment with business goals and long-term strategy.
- Facilitate “art of the possible” conversations to explore future use cases, emerging technologies, and innovation opportunities.
- Collaborate with product owners, developers, and QA to ensure timely, high-quality delivery of cross-functional initiatives.
- Lead stakeholder workshops to gather business and technical
- Translate requirements into actionable stories, epics, and development
- Serve as a liaison between business units and technical teams to ensure
- Champion data governance efforts in partnership with the BI Leader to ensure data quality, consistency, and trust.
- Create and maintain business glossaries, data lineage documentation, and data quality artifacts.
- Ensure analytic and data science outputs are easily consumable and support business decision-making.
- Perform other duties as
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
251-500 employees
