Product Manager + Data Analytics & SAFE Certification
Rate: $60/hr USD to the candidate
Project Duration: 1 Year.
Location: Los Angeles, CA
This is essentially a Data Product Manager / Analytics Lead role.
Focus: Data platforms, BI, reporting, KPIs
- Own data warehouse + analytics ecosystem
- Drive business insights using data
- Work heavily with BI tools, SQL, and data modeling
- Strong tilt toward:
- Data architecture
- Reporting systems
- Business intelligence
Responsibilities:
Develop and maintain relationships with Global Distribution business teams
Learn how our content is created, marketed, and distributed worldwide and serve as the subject matter expert on the systems and data that enable these processes
Learn the KPIs that drive the business and identify opportunities to use and analyze data to improve their decision-making process
Own the product vision and roadmap for the reporting and analytics systems
Engage with business stakeholders to define and prioritize new project requests
Lead discovery and design sessions, documenting functional requirements and technical specifications
Partner with enterprise product and engineering teams to create reporting solutions and advanced analytics products that enable business insights
Oversee business and technical analysts by reviewing solution designs and ensuring deliverables align with business requirements
Manage the reporting and analytics application landscape, acting as the primary escalation point for day-to-day operational activities
Qualifications
Bachelor s Degree in Math, Statistics, Economics or another relevant field, or equivalent professional experience
5+ years of experience developing and maintaining medium-to-large-scale data warehouses with at least 3 years in a lead role
4+ years of experience in a reporting and analytics role that engages directly with business stakeholders
Extensive hands-on experience with a broad range of business intelligence technologies, including traditional data discovery and reporting tools, databases, ELT processes, and machine learning platforms
Strong knowledge of data architecture including a foundation in data warehousing concepts, data normalization, and dimensional data modelling
Understanding of Cloud solutions (AWS, Azure, or Google Cloud Platform) and experience with integrating into traditional hosting models
Strong SQL skills with hands-on experience in writing complex queries involving multi-table joins and advanced analytical functions
Strong analytical skills with the ability to synthesize input from diverse sources and deliver clear, technically sound recommendations that inform key architectural and business decisions
Working knowledge of reporting tools such as Power BI, MicroStrategy, or Tableau
Understanding of IT project management methodologies and SDLC processes, such as Agile Scrum and Waterfall
Excellent written, oral, and presentation skills with the ability to effectively communicate across all levels of the organization
Desired Characteristics:
Experience in the global Media & Entertainment industry
Experience/interest in learning and implementing new analytics technologies
Experience with AI or machine learning platforms
Demonstrate ability to collaborate with teams across multiple territories and time zones
Experience with Finance platforms/ERP systems and associated reporting and analytics tools.
Ability to thrive in fast-paced environments, delivering results under pressure and tight deadlines.
Strong cross-functional collaboration skills, with experience operating effectively in matrix-managed organizations.
Enjoys working in a collaborative team environment with the ability to leverage resources and skillsets across various functional and technical domains, fostering an environment of sharing learnings and knowledge back and forth.
Self-directed and accountable, demonstrating high integrity, ownership, and the ability to work with minimal supervision.
Excellent time-management, planning, and organizational skills with a consistent results-driven mindset.
Effective communicator, able to share information clearly and influence stakeholders across business and technical teams.
Quick learner with strong attention to detail and the ability to connect tactical execution to broader business objectives.
Strong problem-solving and decision-making capabilities, with a proactive approach to resolving challenges.
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