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Moderate competition due to a general product analytics title and early-career level at a mid-tier employer.
Low - analytics and product operations skills are readily transferable across industries.
Low because no mandatory years or certifications and mostly foundational analytics skills preferred.
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Analyze and organize data from multiple sources to support assessment of delivery, quality, and operational performance.
Identify patterns and summarize findings for team discussions, supporting report and dashboard preparation for product and engineering teams.
Track and follow up on actions taken from findings, escalating risks with relevant data to senior team members.
Bachelor’s degree in quantitative, technical, or business-related field or equivalent practical experience.
Proficiency in Microsoft Excel including formulas and pivot tables.
Strong ability to analyze large, ambiguous datasets and surface meaningful observations.
Work Experience Required: Preferred 1–2 years in data, analyst, or operations role; internship experience also considered.
Detail-oriented analyst capable of working independently on data-driven insights with a methodical validation approach.
Comfortable communicating findings clearly to diverse teams and escalating issues with contextual data when necessary.
Experience or familiarity with software delivery metrics, Agile processes, and tools like Power BI and Jira is advantageous.