EDW Data & Analytics BI Product Manager
Listed on 2026-05-21
-
IT/Tech
Data Analyst, Business Systems/ Tech Analyst, Data Science Manager, Data Engineer
Major Duties
Classification:
Exempt / Non-Bargaining
Position may be located remote. #LI-Remote
Fidium is where next-generation fiber meets next-level opportunity. With a vision to be America's favorite fiber internet and network services provider, we deliver lightning-fast and reliable connections to families, businesses, and communities.
Backed by one of the nation's top 10 fiber networks, Fidium is driven by a team of 2,500 employees. We champion innovation, integrity, and continuous improvement-empowering every team member to make a meaningful impact.
We are seeking a dynamic and technically skilled EDW Data & Analytics BI Product Manager to drive delivery and enhancement of data and analytics capabilities within our Telecom Enterprise Data Warehouse (EDW). This role bridges business and technical teams-translating business needs into data and reporting solutions that deliver actionable insights.
The ideal candidate will possess strong knowledge of telecom business processes and KPIs
, combined with hands‑on understanding of data modeling, BI development, and analytics platforms across the Five Tran, Snowflake, Matillion, Tableau, and Secoda technology stack.
- Serve as the product owner for Telecom EDW and BI capabilities‑defining, prioritizing, and delivering a roadmap aligned with business objectives.
- Lead requirement gathering and elaboration for data, reporting, and analytics use cases across functions such as network, customer, billing, sales, and operations.
- Manage backlog, sprint planning, and delivery milestones for EDW and BI initiatives.
- Coordinate with data engineers, data modelers, and BI developers to ensure on‑time, high‑quality delivery of solutions.
- Act as the primary liaison between business stakeholders and technical teams
, ensuring clarity, alignment, and value realization. - Partner with business units to define key metrics, KPIs, and reporting standards
. - Conduct data‑driven discussions to validate requirements, interpret analytics outputs, and communicate insights.
- Translate complex data concepts into business‑friendly language for executive and operational stakeholders.
- Oversee design, development, and deployment of dashboards and reports in Tableau
, ensuring accuracy, usability, and consistency across the organization. - Define and maintain data definitions, hierarchies, and governance standards in collaboration with data management teams.
- Partner with business analysts to enhance self‑service analytics capabilities
. - Drive adoption of standardized BI assets to promote a single source of truth.
- Collaborate with engineering teams on data ingestion and transformation pipelines (Five Tran, Matillion, Snowflake).
- Understand and guide data modeling principles (staging, core, and presentation layers) to support analytical and reporting needs.
- Leverage Secoda for data cataloging, lineage documentation, and metadata management.
- Contribute to data quality initiatives
, ensuring trust in analytics outputs. - Partner with the data governance function to ensure alignment with enterprise data standards and compliance policies.
- Identify opportunities for automation, data reuse, and operational efficiency.
- Monitor BI system performance and user adoption; propose enhancements where needed.
- Maintain awareness of industry trends and emerging technologies in data and analytics.
- Bachelor's degree in Information Systems, Data Analytics, Computer Science, or related field
. - 4+ years of experience in Data Analytics, BI Product Management, or Data Product Ownership
‑preferably within the Telecom sector
. - Proven experience with:
- Tableau (dashboard design, visualization best practices)
- Snowflake (understanding of schema, performance, and data organization)
- Five Tran and Matillion (familiarity with ETL/ELT workflows and data pipelines)
- Secoda (data catalog and documentation management) or similar tool
- Strong understanding of data modeling concepts (star/snowflake schemas, fact/dimension tables).
- Experience defining and tracking Telecom KPIs (subscriber metrics, churn, ARPU, network utilization, etc.).
- Solid grasp of SQL and ability to interpret or validate analytical queries.
- Demonstrated ability to manage…
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