Data Analyst

626•Boca Raton, FL

6h•$75,000 - $95,000•Onsite

About The Position

626 is seeking a mid-level Data Analyst with around 2–4 years of experience to turn data into useful answers for teams across the business. The role responds to ad hoc data requests and builds reports, dashboards, database views, and reusable data models that stakeholders use to make decisions. Work may include preparing figures for leadership updates, designing dashboards, and modelling views in Databricks. The position is in office and involves working with stakeholders across the business, clarifying their questions, checking data quality, and communicating findings in plain language. The analyst will manage multiple requests and prioritize work with stakeholders to meet deadlines.

Requirements

Strong working knowledge of Python for data analysis, such as pandas or PySpark.
Hands-on experience building reports and dashboards in a BI tool such as Power BI.
Experience designing reusable data models for reporting.
Familiarity with Git and Azure DevOps for version control and managing work.
Ability to gather requirements and turn vague stakeholder requests into clear, answerable questions.
Solid SQL skills, including writing queries and creating views.
Attention to detail and a habit of checking data and numbers.
Clear communication skills and confidence working with stakeholders at different levels.
Ability to manage multiple requests and prioritize sensibly.

Nice To Haves

Experience working in Databricks, such as with notebooks, Delta tables, or Unity Catalog.
Experience in a sales-driven business and familiarity with metrics such as pipeline, revenue, conversion, and quota attainment.

Responsibilities

Respond to ad hoc data requests from stakeholders across the business, clarifying the question before analyzing the data.
Build clear, accurate reports that answer stakeholder questions and support decision-making.
Design, build, and maintain dashboards on the company’s custom in-house BI website, and help migrate existing Power BI reports to it.
Design reusable data models that provide teams with a consistent, trusted source for reporting.
Create and maintain database views that make data easier to access and reuse.
Use Python to clean, transform, and analyze data and automate repetitive tasks.
Check data quality and flag issues or inconsistencies before they reach a report.
Explain findings in plain language to non-technical audiences.
Manage multiple requests and prioritize with stakeholders to meet deadlines.