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Information Technology 🏢 Full Time ⭐️ Verified

Entry-Level Data Analyst

DataDriven Innovations
Portland
Estimated Salary
USD 65.000 – USD 75.000
New
Live Update
27 September 2026
Deadline
27 Sep 2027

Job Description

Join DataDriven Innovations as an Entry-Level Data Analyst and launch your career in the heart of Portland's thriving tech scene. We're seeking a curious analytical mind to transform raw data into actionable insights that drive business decisions. This role offers mentorship from senior analysts and exposure to cutting-edge analytics tools in a collaborative, growth-oriented environment.

Our ideal candidate thrives on solving complex problems with data and is passionate about making an impact. You'll work with cross-functional teams to uncover hidden patterns, optimize operations, and contribute to our data-driven culture. If you're ready to turn your analytical skills into real-world solutions, this is your opportunity to grow with us.

Responsibilities

  • Analyze complex datasets to identify trends, patterns, and opportunities
  • Create compelling data visualizations using Tableau and Power BI
  • Develop automated reporting dashboards for executive stakeholders
  • Collaborate with product teams to support data-informed decision making
  • Ensure data quality through cleaning, validation, and documentation
  • Assist in implementing A/B tests and experimental design
  • Present findings to non-technical audiences through clear storytelling

Qualifications

  • Bachelor's degree in Statistics, Mathematics, Computer Science, or related field
  • Proficiency in SQL and experience with relational databases
  • Familiarity with Python (Pandas, NumPy) or R for data manipulation
  • Basic knowledge of statistical analysis and hypothesis testing
  • Strong attention to detail and problem-solving skills
  • Ability to communicate complex concepts clearly
  • Experience with Excel or Google Sheets for data analysis
  • Portfolio demonstrating data analysis projects (school or personal)

Required Skills

SQL Python Tableau Power BI Excel Data Visualization Statistical Analysis Data Cleaning

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