200+ applicants

Company

Keyfactor · 3 hours ago

Senior Product Data Analyst

Georgia, United States

Full-time

Onsite

Senior Level

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Enterprise SoftwareIdentity Management

Growth Opportunities

No H1B

U.S. Citizen Only

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Responsibilities

Proactively seek out trends and create analysis frameworks to effectively answer strategic questions and translate between raw data insights and business strategy.

Be a driving influencer and teacher on the use and application of data and analysis.

Build data models in a structured data warehouse.

Develop reports, dashboards, and metrics to address business needs in partnership with RevOps and Customer Teams.

Form opinions on tools, products, and processes we should adopt to accomplish analytics needs.

Form opinions on customer needs & product priorities to improve our product.

Partner with product, engineering, and GTM teams to ensure that we are tracking the right data to fully measure product success.

Optimize how teams leverage data to make roadmap decisions and prioritizations.

Support R&D leadership with developing and leveraging dashboards that highlight engineering and development efficiency and efficacy.

Establish a repeatable executive reporting cadence on product insights and suggested actions.

Share deep analysis conclusions and sophisticated technical methods in a clear manner to both technical and non-technical audiences to aid in adoption and engagement.

Lead a cross-functional data infrastructure steering committee.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLBusiness Intelligence toolsCustomer Data PlatformsData modelingSaaS product analyticsProject managementPrediction algorithmsCollaboration skills

Required

Strong analytical, communication, and project management skills.

Experiences with product monetization and FP&A practices.

Practical experience in a business environment influencing decision making with data.

Experience owning cross-functional support of a Business Intelligence tool.

Experience using SQL to transform and analyze data.

Experience using advanced SQL techniques (window functions, JSON flattening and extraction, etc.) for data investigation, transformation, and analysis.

Experience with Customer Data Platforms.

Experience working with R&D, business, and operations teams in an analytics capacity, especially with SaaS product analytics like trend analysis, cohort analysis, time to value, customer journeys, etc.

Basic understanding of prediction and personalization algorithms (e.g. purchase and churn propensity models, product recommendations).

Familiarity with data schemas and a solid understanding of data modeling for data warehouses.

The ability to effectively collaborate cross-functionally to drive actionable and measurable results.

A passion for the role of data in helping solve complex questions, teaching others how to use data to make decisions, and a desire to constantly learn and improve themselves.

Experience presenting analyses to key stakeholders at different organizational levels from IC to executive leadership.