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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst (Weekend Shift)

CloudPeak Analytics
Minneapolis
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
31 Agustus 2026
Deadline
31 Agu 2027

Job Description

Are you a data-driven professional looking for a rewarding career in Minneapolis? CloudPeak Analytics is seeking a skilled Data Analyst (Weekend Shift) to join our growing team. In this pivotal role, you will leverage your analytical expertise to transform complex datasets into actionable insights, ensuring our business strategies are backed by solid evidence. This position offers the stability of a full-time role with the unique flexibility of a weekend schedule.

If you excel in a dynamic environment and are passionate about uncovering the stories hidden within data, we want to hear from you. You will work closely with cross-functional teams to deliver high-quality reporting and drive operational efficiency.

Responsibilities

  • Extract, clean, and analyze large datasets to identify trends, patterns, and opportunities for business growth.
  • Prepare detailed reports and interactive dashboards for stakeholders using Tableau, Power BI, or Looker.
  • Collaborate with product and operations teams to interpret data and support strategic decision-making processes.
  • Ensure data integrity and accuracy by performing regular audits of data pipelines and SQL queries.
  • Create automated scripts (Python/R) to streamline data collection and reduce manual reporting workload.
  • Communicate complex data findings to non-technical audiences through clear visualizations and written summaries.

Qualifications

  • Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
  • 2+ years of professional experience as a Data Analyst or similar role.
  • Proficiency in SQL for database querying, data manipulation, and window functions.
  • Strong skills in data visualization tools such as Tableau, Power BI, or Excel Advanced.
  • Experience with data warehousing concepts and ETL processes.
  • Must be available to work weekends (Saturday and Sunday).

Required Skills

SQL Tableau Power BI Excel Python Data Analysis Data Visualization ETL Data Warehousing Statistics

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