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Information Technology 🏢 Full Time ⭐️ Verified

Senior Data Analyst (Remote/Hybrid) - Minneapolis

Nexus Analytics
Minneapolis
Estimated Salary
USD 85.000 – USD 115.000
Live Update
18 Juli 2026
Deadline
18 Jul 2027

Job Description

Unlock Your Potential as a Senior Data Analyst

Are you passionate about transforming raw data into actionable business intelligence? Nexus Analytics is seeking a highly skilled and analytical Senior Data Analyst to join our dynamic team. We offer a competitive compensation package and a flexible work culture, allowing you to work remotely or from our vibrant Minneapolis office.

In this pivotal role, you will be the bridge between our technical teams and executive leadership. You will dive deep into complex datasets, uncover hidden trends, and craft compelling visualizations that drive strategic decision-making.

Why Join Us?

  • Hybrid/Remote work flexibility.
  • Competitive salary and comprehensive benefits package.
  • Opportunity to work with cutting-edge analytics tools.
  • Career growth in a fast-paced, innovative environment.

Responsibilities

  • Data Mining & Analysis: Extract, clean, and analyze large, complex datasets to identify patterns, trends, and opportunities for process improvement.
  • Dashboard Creation: Design, develop, and maintain interactive dashboards (using Tableau or PowerBI) to visualize key performance indicators (KPIs) for stakeholders.
  • Reporting: Generate accurate, timely, and insightful reports that support business strategy and operational efficiency.
  • Stakeholder Communication: Translate complex data findings into clear, actionable insights for non-technical stakeholders and leadership.
  • SQL & Data Engineering: Write optimized SQL queries to retrieve data from various databases and collaborate with engineering teams on data pipelines.
  • Process Improvement: Identify gaps in current data processes and recommend solutions to enhance data quality and accuracy.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Finance, or a related field.
  • Experience: 3-5+ years of professional experience in data analysis, business intelligence, or a related role.
  • Technical Skills: Strong proficiency in SQL (PostgreSQL, MySQL, or Snowflake) and Python or R.
  • Visualization Tools: Expert level experience with Tableau, PowerBI, or Looker.
  • Excel: Advanced Excel skills including VLOOKUP, PivotTables, and Macros.
  • Communication: Excellent verbal and written communication skills with the ability to present data-driven narratives.

Required Skills

SQL Python R Tableau PowerBI Data Visualization Excel Statistics Snowflake Data Mining Business Intelligence

Ready to Take This Challenge?

Make sure your resume is ready. Submit your application now before the deadline.

Apply Now

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