Product Analyst II
Listed on 2026-02-07
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IT/Tech
Data Analyst, Data Science Manager
Are you looking to Optimize your life? Start your exciting path to a rewarding career today!
We are Optimum, a leader in the fast-paced world of connectivity, and we're on the hunt for enthusiastic professionals to join our team! We understand that connectivity isn't just a luxury anymore – it's a necessity that empowers lives, fuels businesses, and drives innovation. A career at Optimum means you'll be enabling progress and enhancing lives by providing reliable, high-speed connectivity solutions that keep the world connected.
We owe our success to our amazing product, commitment to our people and the connections we make in every community.
If you are resourceful, collaborative, team-oriented and passionate about delivering consistent excellence, Optimum is the Company for you!
We are Optimum!
Job SummaryOptimum is a leading provider of Mobile, Broadband (DOCSIS, Fiber) and Video services in the United States for Business and Residential Customers. The Product Development organization is responsible for the technology enablement and development of these technologies for our customers along with the tools used by our teams to support them. The Product Analyst II team member will join a rapidly growing Product Operations team focused on delivering exceptional customer experiences through optimization of our product quality and operational processes.
A successful candidate will contribute to the development of the data pipeline for our products that will enable them to build the dashboards, KPIs and automation that will allow us to deliver unparalleled connectivity experiences.
- Develop and maintain dashboards to monitor product performance and key metrics.
- Collaborate with product managers, designers and engineers to define and track product success metrics.
- Analyze user behavior to identify trends, pain points and opportunities for improvement.
- Contribute to the development of the data pipeline for product telemetry.
- Manage and improve data collection processes to ensure data quality and consistency.
- Translate data insights into actionable recommendations for product development and growth.
- Provide ad-hoc analysis to support decision making for cross‑functional teams.
- Identify and communicate opportunities for improving product adoption and retention.
- Monitor and analyze funnels to optimize conversion rates and reduce drop-offs.
- Work with engineering to ensure accurate tracking and tagging of product events.
- Enable exceptional customer experiences for our IP Video Services offered to B2C and B2B customers.
- Identify and implement improvements to improve customer communication and reduce contact rates.
- Establish a feedback loop with internal/external stakeholders to drive continuous improvement.
- Ensure rigorous testing and validation processes to maintain high product quality and reliability.
- Plan and execute product launches, ensuring seamless coordination with all relevant teams.
- Introduce capabilities to do effective A/B testing of releases across test populations.
- Provide training and support to team members on best practices, data tools and processes.
- Drive innovation by identifying implementing new tools, technologies and methodologies.
- Provide regular updates to stakeholders on product operations, performance and strategic initiatives.
- Minimum 3‑5 years of experience in product analytics, data analysis or similar role.
- Bachelor’s degree in Data science, Statistics or Computer Science.
- Proficiency in data visualization tools like Tableau or Power BI.
- Strong skills in analyzing large data sets using SQL or similar languages.
- Experience with programming languages such as Python or R for advanced analytics.
- Familiarity with A/B testing framework and methodologies.
- Effective communication and presentation skills, with the ability to convey data insights.
- Ability to define and measure key performance indicators aligned with business goals.
- Experience with product delivery tools like Jira and Confluence.
- Demonstrated experience solving performance and data issues by applying experience/knowledge.
- Contributes to operational insights that inform product strategies and decision‑making.
- Familiarity…
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