Experience
5 - 10 yrs
Job Location
Bengaluru, India
Vacancy
1
Designation
Product Analytics Manager
Job Type
Not specified
Job Description
About the Role
Were looking for a Product Manager to own the analytics strategy for the Degreed platform, including the reporting and dashboarding experiences our customers rely on to prove the value of learning and skill development inside their organizations.
Youll define what "good analytics" means for Degreeds product: what admins and learners need to see, how they need to see it, and how our in-product reporting and dashboards evolve as customer expectations for data and insight keep rising. Youll partner closely with data engineering, data science, design, and other product teams to turn raw platform data into trusted, actionable insight that customers use to make real workforce decisions.
This is a high-visibility role. Analytics is one of the clearest ways customers see the value of Degreed, so the strategy you set and the roadmap you drive will directly shape how the market perceives our platforms maturity and impact.
Key Skills - 5+ years of product management experience, with at least 2 years focused on analytics, reporting, BI, or data products.
- Proven ability to set and communicate a product strategy for analytics or reporting capabilities, not just ship individual features.
- Strong grasp of data modeling concepts and comfort working directly with data engineers and data scientists on schema, metrics definitions, and data pipelines.
- Experience with embedded analytics or BI tooling (GoodData a plus) and the tradeoffs between build, buy, and embed.
- Ability to translate ambiguous customer and stakeholder needs (from CHROs, LD leaders, and platform admins) into clear requirements and well-scoped roadmap bets.
- Comfort defining and governing metrics: naming conventions, calculation logic, and data definitions that stay consistent across dashboards and reports.
- Strong data literacy: able to read a dataset, sanity-check a query, and know when a dashboard number looks wrong before a customer does.
- Experience partnering with design on data visualization best practices, not just feature layout.
- Track record of prioritizing a roadmap against competing demands from sales, customer success, engineering, and executive stakeholders.
- Excellent written and verbal communication skills, with the ability to explain analytics tradeoffs to both technical and non-technical audiences.
- Ability to leverage AI tools and technologies relevant to the role, such as using AI-assisted analysis to explore usage data, draft requirements, or accelerate dashboard prototyping.
- Experience in HR tech, learning tech, or another people-analytics adjacent space
- Familiarity with SQL and the ability to write or debug queries independently
- Own and evolve the analytics strategy for the Degreed product, including the roadmap for in-product reporting and dashboarding capabilities.
- Define the metrics, dashboards, and reporting experiences that help admins and learners understand skill growth, engagement, and program impact.
- Partner with data engineering and data science to ensure the underlying data model, pipelines, and metric definitions can support current and future reporting needs.
- Work with design to create clear, trustworthy, and actionable data visualizations rather than just charts on a page.
- Gather and synthesize input from customers, sales, and customer success to identify the analytics gaps that matter most to the market.
- Define and maintain a consistent set of metric definitions and governance standards so numbers mean the same thing across every dashboard and report.
- Write clear requirements, prioritize the analytics backlog, and work with engineering to ship reporting features that are accurate, performant, and easy to use.
- Measure the adoption and impact of analytics features you ship, and use that data to inform the next iteration of the roadmap.
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