DataStartupSMBEnterprise

Data Analyst

We are looking for a Data Analyst to transform data into clear, actionable insights that drive product and business decisions at [Company Name]. You will partner with stakeholders across the company to define metrics, build dashboards, conduct deep-dive analyses, and communicate findings that directly influence strategy. This role is ideal for someone who loves storytelling with data.

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Key Responsibilities

  • Write and optimize SQL queries to extract, clean, and analyze data from our data warehouse for ad-hoc and recurring analyses
  • Build and maintain dashboards and reports in tools like Looker, Tableau, Metabase, or Power BI that stakeholders rely on daily
  • Partner with product managers, marketers, and business leaders to define KPIs, set targets, and measure progress
  • Conduct deep-dive analyses to uncover trends, root causes, and opportunities — then present findings with clear recommendations
  • Design and analyze A/B tests and experiments, ensuring statistical rigor and clear interpretation of results
  • Document data definitions, metric logic, and analysis methodologies to build institutional knowledge
  • Collaborate with data engineers to improve data quality, request new data sources, and define transformation logic

Required Skills & Experience

  • 2+ years of data analyst experience in a product, marketing, or business analytics function
  • Advanced SQL proficiency including joins, subqueries, window functions, and CTEs
  • Experience building dashboards and visualizations in at least one BI tool (Looker, Tableau, Metabase, or Power BI)
  • Strong understanding of descriptive and inferential statistics (hypothesis testing, confidence intervals, regression basics)
  • Proficiency in Excel or Google Sheets for quick ad-hoc analysis and stakeholder-friendly outputs
  • Excellent written and verbal communication skills — ability to translate complex data into clear narratives for non-technical audiences

Nice-to-Have

  • Experience with Python or R for statistical analysis or automation of data workflows
  • Familiarity with dbt for analytics engineering and data transformation
  • Understanding of product analytics tools (Amplitude, Mixpanel, Heap)
  • Experience designing and analyzing A/B tests with statistical significance
  • Knowledge of cohort analysis, funnel analysis, or retention modeling

Tech Stack

SQLLookerTableauPythonExcelGoogle SheetsBigQuerySnowflakeAmplitudedbtMetabase

What We Offer

  • Competitive salary at [Company Name]
  • Direct impact — your analyses will shape product and business strategy
  • Learning budget for courses, conferences, and analytics certifications
  • Comprehensive health, dental, and vision insurance
  • Flexible work arrangements with remote-friendly team culture
  • Mentorship from senior data team members and leadership exposure

Interview Process

  1. 1Recruiter phone screen (30 min) — background and experience fit
  2. 2SQL assessment (45 min) — practical SQL problems using realistic datasets
  3. 3Case study presentation (60 min) — analyze a provided dataset and present insights and recommendations to the panel
  4. 4Stakeholder collaboration interview (45 min) — simulate working with a PM or business leader on a data question
  5. 5Hiring manager conversation (30 min) — career goals and team fit
  6. 6Offer and reference checks

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