Remote Senior Product Data Analyst

Description:

• The Senior Product Data Analyst will report directly to the VP of Product Operations and will work cross-functionally to analyze product usage and behavior data as well as customer outcome data.
• This role will help Keyfactor make decisions that influence product value/features, customer support, and operational efficiency.
• The analyst will collaborate with other departments and leadership to provide valuable information for strategic business and roadmap decisions.
• Responsibilities include proactively seeking out trends, creating analysis frameworks, and translating raw data insights into business strategy.
• The analyst will build data models in a structured data warehouse and develop reports, dashboards, and metrics in partnership with RevOps and Customer Teams.
• The role involves forming opinions on tools, products, and processes to meet analytics needs and improving product priorities based on customer needs.
• The analyst will partner with product, engineering, and GTM teams to ensure proper data tracking for measuring product success.
• The position requires optimizing how teams leverage data for roadmap decisions and supporting R&D leadership with dashboards that highlight engineering efficiency.
• Establishing a repeatable executive reporting cadence on product insights and sharing analysis conclusions with both technical and non-technical audiences is essential.
• The position can be performed remotely, and applicants must hold US citizen or US permanent resident status.

Requirements:

• Candidates must possess strong analytical, communication, and project management skills.
• Experience with product monetization and FP&A practices is required.
• Practical experience in a business environment influencing decision-making with data is necessary.
• Candidates should have experience owning cross-functional support of a Business Intelligence tool.
• Proficiency in SQL for data transformation and analysis is essential, including advanced SQL techniques.
• Experience with Customer Data Platforms and working with R&D, business, and operations teams in an analytics capacity is required.
• A basic understanding of prediction and personalization algorithms is necessary.
• Familiarity with data schemas and a solid understanding of data modeling for data warehouses is required.
• The ability to collaborate cross-functionally to drive actionable results is essential.
• A passion for data's role in solving complex questions and a desire for continuous learning and improvement is important.
• Experience presenting analyses to key stakeholders at various organizational levels is required.

Benefits:

• Keyfactor offers a company-wide day off on the second Friday of every month, known as Second Fridays.
• Comprehensive benefit coverage is provided, paid for by the company for employees and their dependents in the US.
• The company offers generous paid parental leave for employees in the US.
• Employees have access to dedicated employee-focused ambassadors through Key Contributors & Culture Committees.
• Keyfactor is committed to diversity and inclusion through initiatives like the DIVERSE Commitment and the Keyfactor Alliance Program.
• Wellbeing resources, a wellness allowance, and free membership to a mindfulness app are available to employees.
• The company organizes a Global Volunteer Day, offers non-profit matching, and provides three volunteer days off.
• Employees enjoy unlimited time off in the US and competitive time off globally.
• Monthly talent development and cross-functional meetings support professional development.
• Regular All Hands meetings are held, followed by group gatherings to foster team cohesion.