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Data Analyst Job at Jobs via Dice in Houston

Jobs via Dice, Houston, TX, United States, 77246

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Data Analyst

Location: Houston, TX

Type: Full-Time

Department: Data & Insights

Reports to: Data Analytics Manager / Head of Analytics

Core Responsibilities

  • Query and analyze large datasets using SQL to answer business questions.
  • Build and maintain interactive dashboards in Tableau, Looker, or Power BI.
  • Track and define KPIs: Conversion rates, retention, revenue per user, operational efficiency.
  • Conduct ad-hoc analyses: funnel optimization, cohort studies, A/B test results, forecasting.
  • Support cross-functional teams: Marketing, Product, Finance, Ops with data‑backed recommendations.
  • Ensure data quality: Validate sources, audit pipelines, document assumptions.
  • Automate recurring reports to eliminate manual work and enable self‑service.
  • Present insights to stakeholders via concise slides, clear narratives, confident Q&A.

What You Bring

Must-Have

  • 2‑4 years of data analysis or business intelligence experience.
  • Expert‑level SQL: Complex joins, CTEs, window functions, query optimization.
  • Visualization mastery: Tableau (preferred), Looker, or Power BI; clean, interactive, insightful visualizations.
  • Statistical foundation: knowledge of p‑values, confidence intervals, regression.
  • Excel/Google Sheets power user: Pivot tables, VLOOKUP, data validation, macros.
  • Business curiosity: asks why five times and follows the data.
  • Bachelor’s in Statistics, Economics, Math, Computer Science, or equivalent experience.

Nice-to-Have

  • Python or R for automation, modeling, or advanced analytics (pandas, statsmodels).
  • Experience with product analytics tools (Amplitude, Mixpanel, Heap).
  • dbt for data modeling and transformation.
  • Cloud data platforms: Snowflake, BigQuery, Redshift.
  • Experimentation frameworks: Optimizely, Eppo, or custom A/B platforms.
  • Background in SaaS, e-commerce, fintech, or marketplaces.

Tech Stack

  • Data Warehouse: Snowflake / BigQuery / Redshift
  • BI Tools: Tableau (preferred) / Looker / Power BI
  • Transformation: dbt Core
  • Querying: SQL, Excel, Google Sheets
  • Scripting: Python (pandas, matplotlib), R
  • Tracking: Segment, Snowplow, Google Analytics
  • Collaboration: Slack, Jira, Notion
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