B2B Customer Base Management Analytics Manager

About the Role

Key Responsibilities

• Lead customer-level data strategies for rate actions, contract roll-offs, and renewal pricing, translating strategic concepts into operational blueprints for implementation.
• Analyze product and service uptake trends across business segments to forecast offer survivability and inform bundling or re-pricing efforts.
• Develop detailed customer segmentation schemas using telecom usage patterns, account lifecycle data, and firmographics to support targeted campaigns and retention strategies.
• Drive the refinement of customer lifetime value (LTV) models, integrating churn risk and cross-sell opportunity indicators to support upsell and save initiatives.
• Aggregate and analyze data from diverse systems (billing, CRM, network usage, provisioning) to identify trends in product performance, pricing effectiveness, and customer satisfaction.
• Present strategic insights and business cases to senior leadership, highlighting revenue and retention opportunities through data-backed narratives.
• Build and maintain automated analytics pipelines to monitor rate plan performance, promotion expiry impact, and post-offer churn.
• Collaborate with Customer Experience and Network Ops teams to identify operational friction points and optimize the B2B customer journey.
• Support the go-to-market strategy for new telecom offerings with pricing intelligence and competitive analysis.
• Continuously assess and enhance data quality, reporting tools, and analytics processes to improve speed-to-insight and strategic agility.

Requirements

• Bachelor's degree in data science, Computer Science, Engineering, Mathematics, or a related field; advanced degree a plus.
• 3-5 years of experience in a data-driven role, ideally within the telecommunications industry, with a focus on B2B products or pricing.
• Deep understanding of telecom pricing structures, rate plans, contract & offer terms, and customer segmentation best practices.
• Proficient in SQL (Oracle and Google BigQuery); strong working knowledge of data architecture and ETL pipelines.
• Experience with BI and analytics platforms such as Tableau, Alteryx, and Excel; Python skills are a plus.
• Demonstrated experience using analytics to influence go-to-market strategy, rate plan design, or customer lifecycle management.
• Excellent communication skills, with the ability to translate complex datasets into actionable business recommendations for senior stakeholders.
• Strong collaboration and influencing skills, with experience working across Product, Finance, and Operational teams.
• Proven ability to thrive in a fast-paced, high-growth telecom environment with shifting priorities and tight timelines.
• Constantly challenges the status quo and identifies areas for operational efficiency, customer improvement, and strategic innovation.

Nice to Have

• Advanced degree in a related field.
• Python skills.

Qualifications

• Bachelor's degree in data science, Computer Science, Engineering, Mathematics, or a related field.

Benefits & Perks

• Competitive pay based on skills and experience.
• Starting pay range of $102,816.00 - $168,912.00 per year.