Sr Analyst, Product Analytics - Broadband

About the Role

Key Responsibilities

• Develop and own analytical frameworks that measure broadband product performance, adoption, and customer behavior.
• Partner with product managers and business stakeholders to define success metrics, measure outcomes, and identify opportunities for growth and optimization.
• Perform advanced quantitative analysis (e.g., churn modeling, ROI, cost-benefit analysis, segmentation, retention forecasting) to support strategic decisions.
• Leverage customer, network, and market data to generate insights that inform product roadmap, feature prioritization, and experience improvements.
• Continuously monitor product health metrics, proactively identifying risks, anomalies, and opportunities.
• Collaborate with Product, Engineering, and Cross-functional teams to evaluate performance drivers and recommend solutions aligned to organizational OKRs and Product KPIs.
• Provide actionable recommendations to stakeholders and leadership through compelling, data-driven presentations.
• Serve as a liaison between analytics teams and technical partners to ensure accurate and scalable data pipelines, dashboards, and reporting solutions.
• Support product launches, initiatives, and experiments by designing measurement plans, tracking performance, and reporting on outcomes.
• Translate business requirements into analytical deliverables, ensuring data accuracy, timeliness, and actionable output.
• Partner with engineering and network infrastructure teams to align on data requirements for gateways, provisioning systems, and broadband-related solutions.
• Contribute to enterprise-level analytics standards and governance, ensuring consistent methodologies and reporting across teams.
• Foster a culture of data-driven decision-making across the Broadband Product team.
• Share best practices and mentor peers on analytical methods, tools, and storytelling.
• Stay current with emerging analytics technologies and methods to drive continuous improvement.

Requirements

• Bachelor's degree in Data Analytics, Statistics, Computer Science, Business, Economics, or related field. Advanced degree preferred.
• 5+ years of analytics experience with demonstrated impact in product, customer, or financial analytics.
• Strong SQL and data visualization skills (e.g., Tableau, Power BI, Looker). Experience with Python, R, or similar tools preferred.
• Proven ability to synthesize complex datasets into clear, actionable insights for executives and cross-functional stakeholders.
• Strong collaboration and communication skills; ability to influence without direct authority.
• Experience in broadband, telecom, or subscription-based products strongly preferred.
• Excellent attention to detail, problem-solving ability, and strategic mindset.
• At least 18 years of age.
• Legally authorized to work in the United States.

Nice to Have

• Experience with Python, R, or similar tools.

Qualifications

• Bachelor's degree in relevant field; advanced degree preferred.
• 5+ years of relevant analytics experience.
• Strong SQL and data visualization skills.
• Experience with Python, R, or similar tools preferred.
• Ability to synthesize complex datasets into insights.
• Excellent collaboration and communication skills.
• Experience in broadband, telecom, or subscription-based products strongly preferred.
• At least 18 years of age.
• Legally authorized to work in the United States.

Benefits & Perks

• Competitive base salary and compensation package.
• Annual stock grant, employee stock purchase plan, 401(k).
• Access to free, year-round money coaches.
• Medical, dental, and vision insurance.
• Flexible spending account, paid time off, up to 12 paid holidays.
• Paid parental and family leave, family building benefits, back-up care, childcare subsidy, tuition assistance, college coaching.
• Short- and long-term disability, voluntary AD&D, accident, life, and disability insurance, long-term care insurance.
• Mobile service & home internet discounts, pet insurance, transit programs.