Data Analyst

Posted 58 minutes ago USD 125,000 - 140,000 / year
Harnham
Data Analyst

Location: Austin, TX or Miami, FL (Hybrid, 4 days onsite)
Compensation: Up to $140,000 base + Sign-On Bonus
Work Authorization: U.S. Citizen or Green Card Holder only. No sponsorship available.

A rapidly growing financial services organization is seeking a Data Analyst to join its expanding analytics team. This role will partner closely with Finance, Compliance, HR, and business leaders to deliver reporting, analytics, and data-driven insights across the organization.

What You'll Do

  • Build and enhance reporting and analytics solutions for business stakeholders.
  • Analyze complex datasets and translate findings into actionable insights.
  • Partner with cross-functional teams to solve business problems using data.
  • Support data pipelines, reporting infrastructure, and data quality initiatives.
  • Develop dashboards and visualizations to drive decision-making.

What We're Looking For

  • Strong SQL skills (primary technical requirement).
  • Experience with Tableau (or similar BI tools), Databricks, and dbt.
  • Strong analytical and problem-solving abilities.
  • Experience working directly with business stakeholders.
  • Bachelor's degree in Mathematics, Engineering, Information Systems, or a related quantitative field preferred.

Ideal Candidate

  • Highly detail-oriented with a strong quality mindset.
  • Able to bridge technical and business conversations.
  • Comfortable owning projects from requirements gathering through delivery.
  • Thrives in a fast-paced, high-growth environment.

Apply today to join a growing team with significant visibility, impact, and long-term career growth opportunities.

Desired Skills and Experience

Strong SQL skills (primary technical requirement).
Experience with Tableau (or similar BI tools), Databricks, and dbt.
Strong analytical and problem-solving abilities.
Experience working directly with business stakeholders.
Bachelor's degree in Mathematics, Engineering, Information Systems, or a related quantitative field preferred.
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