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Data Analyst
Data AnalystThe Corporate • Los Angeles, CA, US
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Data Analyst

Data Analyst

The Corporate • Los Angeles, CA, US
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Description

Job Description

About the Opportunity

A remote-first team operating in the corporate financial services and enterprise analytics sector, delivering actionable insights for finance, operations, and strategic decision-making. We partner with business leaders to turn transactional data into clear, timely intelligence that drives measurable business outcomes.

Role Responsibilities

  • Write, optimize, and maintain complex SQL queries and views to extract, transform, and validate data across transactional and analytical data stores.
  • Design and deliver interactive dashboards and reports in Tableau and Power BI that translate business requirements into clear visual stories and KPIs.
  • Perform ad-hoc and recurring analyses (cohort, funnel, variance, and trend analyses) to answer product, finance, and operations questions and inform decisions.
  • Partner with stakeholders across finance, sales, and operations to gather requirements, prioritize requests, and operationalize analytics into self-service reports.
  • Validate data pipelines and ETL processes; identify data quality issues, recommend fixes, and document lineage and assumptions.
  • Automate reporting and monitoring workflows to reduce manual effort and ensure timely delivery of insights.

Skills Qualifications

Must-Have

  • SQL
  • Python
  • Excel
  • Tableau
  • Power BI
  • Data visualization
  • Preferred

  • dbt
  • Snowflake
  • Looker
  • Benefits Culture Highlights

  • Fully remote role with a flexible, US timezone-friendly schedule and a focus on work-life balance.
  • Collaborative, metrics-driven culture that invests in learning, mentorship, and cross-functional exposure.
  • Opportunities to lead analytics projects end-to-end and influence product and financial strategy.
  • This role is ideal for analytically-minded candidates who take ownership of data quality, enjoy building visual narratives, and thrive in a remote, impact-focused environment. Apply if you want to turn complex data into repeatable, decision-ready insights.

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