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Mid-level generalist Data Analyst role in a metro with BI/Python skills increases competition.
Product-usage telemetry preference adds moderate domain specificity, but BI and SQL skills are transferable.
Explicit 2–4 years plus mandatory Python, SQL and Power BI skills raises shortlisting strictness.
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Build and maintain product usage analytics by transforming telemetry and usage data into clear Power BI dashboards to track adoption, engagement, feature usage, and customer behavior.
Define and measure meaningful KPIs by collaborating with product, engineering, design, and commercial teams to translate their questions into actionable metrics.
Analyze cross-functional data sets to identify trends and opportunities, and communicate insights clearly to technical and non-technical stakeholders to influence product and business decisions.
Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a relevant field.
2–4 years of experience in data analytics, business intelligence, or related roles including academic projects and internships.
Proficient with Python, SQL, and data visualization tools such as Power BI or Tableau.
Strong understanding of statistics, data modeling, data pipelines, and ETL/ELT concepts.
Early-career analyst interested in product and business usage analytics with some experience or exposure to SaaS product telemetry and usage metrics.
Collaborative operator able to work effectively across product, engineering, design, and commercial teams, translating business questions into structured analyses.
Detail-oriented with a focus on data quality and automating reporting to deliver reliable, scalable insights impacting product priorities.