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Data Analyst

PaulHood

Salary not specified
Sep 19, 2025
Remote, US
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PaulHood is looking to transform the mid-market CPA industry with an entirely new model and needs a Data Analyst to help clean data, build reports and dashboards, and drive the company's future by providing insights and results to the leadership team.

Requirements

  • Strong proficiency in SQL (Postgres/Snowflake preferred), including techniques like unions
  • Proficiency with data visualization tools (Tableau, PowerBI, Looker, Metabase) and collaboration tools (dbt or Dataform)
  • Familiarity with entity-relationship models
  • Experience with data quality governance, monitoring, and error handling
  • Familiarity with using project management tools for task tracking and collaboration
  • Data-related background in a startup environment
  • Familiarity with MSSQL for interfacing with legacy data

Responsibilities

  • Partner with leadership to design and deliver reports and dashboards that surface key performance metrics across client engagement, operations, and finance.
  • Perform in-depth analysis to identify patterns, trends, and outliers that inform strategic decisions.
  • Translate business questions into analytical queries, models, and visualizations.
  • Collaborate with our Data Engineer to ensure data pipelines and integrations are reliable and accurate.
  • Support data governance by validating data quality and documenting sources and definitions.
  • Present findings and recommendations to senior leadership in a clear, business-focused way.
  • Explore AI & Advanced Analytics: Identify opportunities to leverage AI and advanced data analytics to drive business value in the long term.

Other

  • 3+ years relevant experience in data analyst or related field
  • Motivated self-starter and problem-solver with a strong work ethic
  • Excellent communication skills with the ability to translate technical information into user-friendly language
  • Strong problem-solving aptitude, attention to detail, and the ability to manage multiple tasks simultaneously
  • High degree of professionalism, confidentiality, and integrity in handling sensitive data