Data Analyst

E
Everglade WorksData analytics
Source API remote eligibility restrictions: United StatesFull-TimeJunior
Salary not disclosed
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Job Details

Experience
2+ years of experience in a Data Analyst or similar role
Required Skills
PythonSQLMicrosoft Power BITableauMicrosoft ExcelData modelingLookerR

Requirements

  • Have 2+ years of experience in a Data Analyst or similar role.
  • Be proficient in SQL and experienced in writing complex queries.
  • Have experience with data visualization tools such as Tableau, Power BI, or Looker.
  • Be highly skilled in Excel, including pivot tables, VLOOKUPs, and advanced formulas.
  • Understand statistical analysis and data modeling techniques.
  • Be familiar with data cleaning and transformation best practices.
  • Have experience working with large datasets and messy data.
  • Think critically about data and draw insights that support business decisions.
  • Be organized, detail-oriented, and self-driven.
  • Communicate technical findings in business language.
  • Bonus: Have experience with Python or R for data analysis.
  • Bonus: Be familiar with cloud-based data solutions such as AWS, GCP, or Azure.

Responsibilities

  • Analyze large datasets from internal tools, external databases, APIs, and other sources to identify patterns and insights.
  • Build and maintain dashboards and reports using Tableau, Power BI, Google Data Studio, or similar tools.
  • Work with business leaders to identify KPIs and develop data-tracking frameworks.
  • Write SQL queries to extract and manipulate data, and automate routine reports.
  • Interpret results and provide actionable recommendations to improve business performance.
  • Collaborate with cross-functional teams to define data requirements and optimize data-driven processes.
  • Perform ad-hoc analysis and provide tailored solutions to data challenges.
  • Audit and validate data to ensure quality and accuracy.
  • Present findings and recommendations to non-technical stakeholders.
  • Work with Data Engineers to streamline data collection, storage, and analysis.
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