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Information Technology 🏢 Part Time ⭐️ Verified

Part-Time Data Analyst | Louisville, KY | Remote Opportunities

Nexus Data Systems
Louisville
Estimated Salary
USD 28 – USD 45
Live Update
18 Juli 2026
Deadline
18 Jul 2027

Job Description

Are you a data-driven professional looking for flexibility? Nexus Data Systems is seeking a talented Part-Time Data Analyst to join our elite analytics team. We are a leading technology firm based in Louisville, KY, and we are looking for an analytical mind to help us unlock actionable insights that drive our business growth. While our HQ is in Louisville, we offer a dynamic remote-first culture that accommodates part-time schedules.

In this role, you will collaborate with cross-functional teams to gather, process, and analyze complex datasets. You will be responsible for transforming raw data into clear, visual stories that guide strategic decision-making. This is an excellent opportunity for experienced analysts seeking work-life balance without compromising on high-impact projects.

Responsibilities

  • Data Mining & Cleaning: Extract and clean large datasets from various sources to ensure accuracy and integrity for analysis.
  • Statistical Analysis: Perform advanced statistical analysis and forecasting to identify trends, patterns, and anomalies within the data.
  • Visualization: Create intuitive dashboards and reports using tools like Tableau, Power BI, or Looker to present findings to stakeholders.
  • SQL Querying: Write complex SQL queries to retrieve specific data subsets and support ad-hoc reporting requests.
  • Process Improvement: Identify inefficiencies in data workflows and recommend optimizations to improve team productivity.
  • Documentation: Maintain clear documentation of data models, analysis processes, and business requirements.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
  • Experience: 2+ years of professional experience in data analysis or a similar analytical role.
  • Technical Skills: Proficiency in SQL (PostgreSQL, MySQL) and Python (Pandas, NumPy) for data manipulation.
  • Visualization: Strong portfolio demonstrating experience with BI tools (Tableau, PowerBI, or Google Data Studio).
  • Communication: Exceptional ability to translate complex data findings into actionable business insights for non-technical audiences.
  • Flexibility: Ability to work independently in a remote environment with a part-time commitment (e.g., 20-25 hours per week).

Required Skills

SQL Python Tableau Power BI Data Analysis Statistical Modeling ETL Data Warehousing Forecasting Remote Work

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