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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst

Omaha Analytics Solutions
Omaha
Estimated Salary
USD 20 – USD 35
New
Live Update
7 September 2026
Deadline
7 Sep 2027

Job Description

We are seeking a skilled and detail-oriented Part-Time Data Analyst to join our dynamic team in Omaha, NE. In this role, you will play a crucial part in transforming raw data into actionable business insights. You will collaborate with cross-functional teams to drive strategic decisions and improve operational efficiency, all while enjoying a flexible schedule that fits your lifestyle.

As a part-time analyst, you will have the opportunity to work with cutting-edge tools and methodologies, contributing to high-impact projects within a supportive environment.

Responsibilities

  • Perform Data Cleaning and Validation: Collect, clean, and verify the integrity of data from various sources to ensure accuracy for analysis.
  • Develop Dashboards: Create interactive and visual dashboards using tools like Tableau or Power BI to track key performance indicators (KPIs) and trends.
  • Conduct Statistical Analysis: Perform deep-dive analysis to identify patterns, correlations, and anomalies in data sets to support business forecasting.
  • Report Generation: Prepare comprehensive reports and presentations for stakeholders, translating complex data findings into clear, concise business recommendations.
  • Collaborate with Teams: Work closely with marketing, sales, and operations teams to understand their data needs and provide analytical support.
  • Process Improvement: Identify opportunities for process optimization by analyzing current workflows and data usage.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Business Analytics, or a related field (or equivalent work experience).
  • Experience: 1-3 years of experience in data analysis, preferably in a corporate or analytical role.
  • Technical Skills: Proficiency in SQL for querying databases and experience with visualization tools (Tableau, Power BI, or Looker).
  • Programming: Basic to intermediate knowledge of Python or R is a plus.
  • Tools: Strong Excel skills, including pivot tables and complex formulas.
  • Communication: Excellent verbal and written communication skills with the ability to explain technical concepts to non-technical audiences.
  • Schedule: Ability to commit to a specific part-time schedule (e.g., 20-25 hours per week).

Required Skills

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

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