Job Description
We are looking for a Data Analyst to join our dynamic team in Lexington, KY. At Lexington Analytics, we believe that data is the key to unlocking business potential. In this role, you will transform raw data into actionable insights that drive strategic decision-making. We are proud to offer a comprehensive equipment package to all our employees, ensuring you have the latest hardware and software to succeed.
Why Join Us?
- Equipment Provided: Top-tier MacBook Pro and 4K Monitor for remote work.
- Growth: Clear pathways for career advancement and upskilling.
- Culture: A collaborative, innovative environment in the heart of Kentucky's tech scene.
As a Data Analyst, you will bridge the gap between complex data sets and business goals. We are seeking a detail-oriented professional who thrives in a fast-paced environment.
Responsibilities
- Data Mining & Cleaning: Collect, clean, and transform large datasets from various sources to ensure accuracy and reliability for analysis.
- Reporting & Visualization: Develop compelling dashboards and reports using tools like Tableau or Power BI to communicate findings to stakeholders.
- Statistical Analysis: Perform complex statistical analysis to identify trends, patterns, and anomalies within the data.
- Cross-Functional Collaboration: Partner with marketing, sales, and operations teams to understand their data needs and provide actionable insights.
- Database Management: Assist in maintaining and optimizing our SQL databases and data warehouse structures.
- Process Improvement: Identify areas for process improvement based on data trends and propose data-driven solutions.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related field.
- Experience: 3+ years of professional experience in data analysis or a related role.
- Technical Skills: Proficiency in SQL for querying databases and experience with Python or R for data manipulation.
- Tools: Strong command of data visualization tools (Tableau, Power BI, or Looker).
- Soft Skills: Excellent verbal and written communication skills with the ability to translate technical concepts for non-technical audiences.
- Attention to Detail: A keen eye for detail and a commitment to data integrity.