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