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Job Description

Job Description: Data Analyst
As a Data Analyst with an analytics engineering focus, you will be the bridge between our rawdata and our business stakeholders. You won't just build dashboards; you will own the entireanalytics workflow from modeling and transformation to visualization and deep-dive analysis.Using your expertise in SQL, Python, and modern BI tools, you will be responsible for creatingand maintaining the trusted datasets that the entire company will rely on for decision-making.You will work closely with our Senior Data Engineer to leverage the data platform, ensuringthat the data models you build are robust, reliable, and directly answer the most criticalbusiness questions.Key Responsibilities
  • Data Modeling & Transformation: Use dbt to build, maintain, and document robust,
reusable data models. You will own the "T" (Transform) in our ELT pipeline, turning raw
data from our data lake into clean, trusted, and analysis-ready datasets.
  • Business Intelligence & Dashboarding: Develop, deploy, and maintain insightful and
intuitive dashboards using BI tools like Power BI, Tableau, or Metabase. You will be
responsible for creating a single source of truth for key business metrics.
  • Deep-Dive Analysis: Go beyond dashboards to answer complex business questions.
Use your analytical skills in SQL and Python to conduct exploratory analysis, identify
trends, and provide actionable recommendations to product, marketing, and leadershipteams.
  • Stakeholder Collaboration: Partner with business stakeholders to gather requirements,
define key performance indicators (KPIs), and ensure your analytical outputs are
aligned with their strategic goals.
  • Data Quality & Documentation: Work with the Data Engineering team to define data
quality tests within the transformation layer. Meticulously document your data modelsand metrics to foster a culture of data literacy.

Required Skills & Experience (Must-Haves)

  • 3+ years of experience in a data analyst, business intelligence, or analytics engineering
role.
  • Expert-level proficiency in SQL is absolutely essential. You should be comfortable with
complex joins, window functions, and query optimization.
  • Proven experience with a modern BI platform like Power BI, Tableau, Looker, or
Metabase, from data source connection to final dashboard design.

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