
Business Intelligence Business Analyst
Job Description
Posted on: February 19, 2025
In this role, you will bring your analytical and technical expertise, customer-focus, and strategic mindset to analyze complex datasets to identify patterns and trends and provide strategic and tactical recommendations to help drive Marketing, Lifecycle of a Customer and our Customer Data Platform with a central focus on acquisition, cross sell/upsell and retention growth. You will work closely with product, engineering, and business stakeholders to ensure initiatives facilitate customer-centric experiences and align with our strategic goals.
- 5+ years’ experience leveraging data insights to design and implement key Marketing strategies to boost profitability, elevate engagement and minimize churn (marketing, retention, and upselling), strongly preferred
- Subscription services experience, strongly preferred
- 5+ years’ experience using data, data structures, and at least two analytics platforms and tech stacks such as Oracle, Teradata, Snowflake, AWS RDS/Redshift or MS SQL in an Agile environment
- 5+ years’ experience with SQL and Business Intelligence report development tools such as Business Objects, SSRS, Cognos, MicroStrategy, Tableau, QlikView, Spotfire, etc.
- 3+ years’ experience with Data Governance deliverables such as Business Glossary, Data Lineage, etc.
- 3+ years’ experience in effective influencing and negotiation skills within an environment where resources may not be in direct control of this role, preferred
- Support the development and deployment of retention, upsell, and winback strategies to increase the profitability of our customer base, improve engagement and reduce churn through analytical insights and informed business rules
- Provide thought leadership against modeling efforts/capabilities and renewal offers that enable acceleration of retention, revenue growth and improved operational efficiencies
- Utilize data-driven insights and analytics to measure and track the effectiveness of initiatives, identify areas for improvement, and iterate on product features and functionalities
- Leverage user data and A/B testing results to refine and optimize our initiatives, products and operating approach
- Lead/Assist requirements gathering sessions with business and technical stakeholders to distill business and technical requirements, priorities, define key performance indicators (KPI) in development/support of the Bl, Data Warehouse & Data Science roadmap defined by the Business & Data Teams
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