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Information Technology 🏢 Full Time ⭐️ Verified

Data Analyst - Louisville, KY

Lucas Data Solutions
Louisville
Estimated Salary
USD 65.000 – USD 85.000
New
Live Update
9 September 2026
Deadline
9 Sep 2027

Job Description

Are you a detail-oriented professional passionate about uncovering actionable insights?

Lucas Data Solutions is seeking a talented Data Analyst to join our dynamic team in Louisville, KY. We are a forward-thinking company dedicated to transforming complex data into clear, strategic business intelligence. In this role, you will serve as the bridge between our data and our business stakeholders, ensuring data accuracy and driving growth through evidence-based decision-making.

We pride ourselves on a collaborative culture where your voice matters. If you are looking to advance your career in a vibrant city with a strong tech community, apply today!

Responsibilities

  • Collect and Clean Data: Gather data from multiple sources using SQL and Python, ensuring high accuracy and integrity for analysis.
  • Dashboard Creation: Develop and maintain interactive, visually appealing dashboards in Tableau and Power BI to track key performance indicators (KPIs).
  • Statistical Analysis: Perform deep-dive statistical analysis to identify trends, patterns, and anomalies within large datasets.
  • Report Generation: Create comprehensive reports and executive summaries for leadership, translating technical findings into business recommendations.
  • Process Optimization: Collaborate with cross-functional teams to identify areas for process improvement based on data insights.
  • Data Governance: Help establish best practices for data storage, security, and accessibility across the organization.

Qualifications

  • Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related quantitative field.
  • Experience: 2-4 years of professional experience in data analysis or business intelligence.
  • Technical Skills: Strong proficiency in SQL for data extraction and manipulation; Advanced Excel skills (VLOOKUP, Pivot Tables, Macros).
  • Programming: Experience with Python or R for data manipulation and scripting.
  • Visualization: Demonstrated experience using BI tools such as Tableau or Power BI.
  • Communication: Excellent verbal and written communication skills with the ability to explain complex data to non-technical stakeholders.

Required Skills

SQL Python Tableau Power BI Excel Statistical Analysis Data Mining Data Visualization ETL Data Modeling

Ready to Take This Challenge?

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