Business Data Analyst

3 days ago

Houston, Texas, United States Attractivate Consulting Solutions Full time

Business Data Analyst

Location:
Houston, TX - Onsite - Flexible Schedule

Type:
Full-Time

Department:
Business Data & Analytics

Reports to:
Lead Developer and CEO

The Role

We're hiring a
Business Data Analyst
who turns raw data into actionable insights that drive revenue, optimize operations, and shape product strategy. You'll partner with Finance, Marketing, Product, and Operations to answer high-impact questions using SQL, visualization, and clear storytelling.

What You'll Do

Core Responsibilities

  • Translate business questions
    into SQL queries, dashboards, and ad-hoc analyses.
  • Own key metrics
    : Define, track, and report on KPIs (ARR, LTV, CAC, churn, conversion funnels).
  • Build and maintain dashboards
    in Tableau, Looker, Power BI, or Mode for execs and cross-functional teams.
  • Conduct deep-dive analyses
    : A/B tests, cohort analysis, segmentation, forecasting, ROI modeling.
  • Support decision-making
    : Pricing experiments, go-to-market strategy, sales pipeline health, customer health scoring.
  • Data quality & governance
    : Validate sources, document schemas, enforce consistency across reports.
  • Automate reporting
    : Replace manual spreadsheets with scalable, self-serve data products.
  • Present findings
    to leadership and stakeholders no fluff, just clarity and impact.

What You Bring

Must-Have

  • 3+ years in data analytics, business intelligence, or a similar role.
  • Advanced SQL
    : CTEs, window functions, performance tuning, complex joins.
  • Proficiency with
    BI tools
    (Tableau, Looker, Power BI, Metabase).
  • Experience with
    data modeling
    (star schemas, dimensional modeling).
  • Strong
    business acumen
    you understand P&L, unit economics, and SaaS metrics.
  • Ability to
    tell a story with data
    clean visuals, concise narratives, executive summaries.
  • Bachelor s in Business, Economics, Statistics, Computer Science, or equivalent experience.

Nice-to-Have

  • Python or R for statistical analysis, automation, or predictive modeling.
  • Experience with
    product analytics
    tools (Amplitude, Mixpanel, Heap).
  • Familiarity with
    dbt
    (data build tool) for transformation pipelines.
  • Exposure to
    cloud data warehouses
    (Snowflake, BigQuery, Redshift).
  • Background in SaaS, fintech, e-commerce, or marketplaces.

Tech Stack

  • Data Warehouse:
    Snowflake / BigQuery / Redshift
  • BI Layer:
    Looker (preferred) / Tableau / Power BI
  • Transformation:
    dbt
  • Analytics:
    SQL, Python (pandas, scipy), Excel/Google Sheets
  • Tracking:
    Segment, Snowplow, Amplitude
  • Collaboration:
    Slack, Notion, Jira

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