Data Analyst

Overview

On Site
$60,000 - $100,000
Full Time
No Travel Required

Skills

Advanced Analytics
A/B Testing
Analytics
Business Intelligence
Dashboard
Data Modeling
Data Quality
Data Validation
Forecasting
Microsoft Power BI
Modeling
Optimization
Pandas
Pivot Table
Python
Query Optimization
R
SQL
Statistics
Tableau
Visualization
matplotlib

Job Details

Data Analyst

Job Description

Location: Houston, TX

Type: Full-Time

Department: Data & Insights

Reports to: Data Analytics Manager / Head of Analytics

The Role

We re seeking a Data Analyst who transforms raw data into clear, actionable insights that drive business decisions. You ll dig into customer behavior, operational efficiency, and financial performance delivering dashboards, reports, and analyses that leaders rely on. If you live in SQL, love storytelling with data, and hate bad visualizations, this is your role.

What You ll Do

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 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.
  • Statistical foundation: Averages aren t enough you know p-values, confidence intervals, regression.
  • Excel/Google Sheets power user: Pivot tables, VLOOKUP, data validation, macros.
  • Business curiosity: You ask why five times and follow 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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About Attractivate LLC