Job Description
Are you a detail-oriented Data Analyst seeking a role that values your time and skills? Join Insight Louisville Analytics, where we prioritize your financial well-being with industry-leading daily pay options.
We are looking for a passionate Data Analyst to join our growing team in the heart of Louisville. You will play a crucial role in transforming raw data into actionable business intelligence, helping our stakeholders make informed decisions. We offer a dynamic work environment, competitive compensation, and the flexibility of daily pay.
Why Join Us?
- Financial Freedom: Get paid daily with our instant pay feature.
- Growth Opportunities: Clear career path in a rapidly expanding tech sector.
- Modern Tools: Work with the latest technologies in data science and analytics.
Responsibilities
- Data Mining & Cleaning: Gather, clean, and preprocess large datasets to ensure accuracy and integrity for analysis.
- Dashboard Creation: Design and develop interactive dashboards using tools like Tableau or Power BI to visualize key performance indicators (KPIs).
- Statistical Analysis: Perform complex statistical analysis to identify trends, patterns, and correlations within the data.
- Reporting: Generate comprehensive reports and presentations for management, translating technical findings into business recommendations.
- Collaboration: Work closely with cross-functional teams to understand business needs and provide data-driven solutions.
- Database Management: Write efficient SQL queries and manage database structures to support data retrieval.
Qualifications
- Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field.
- Experience: 3+ years of professional experience in data analysis or a similar analytical role.
- Technical Skills: Proficiency in SQL, Python, or R is required; experience with Tableau, Power BI, or Looker is highly preferred.
- Tools: Advanced knowledge of Microsoft Excel (VLOOKUP, PivotTables) is mandatory.
- Communication: Excellent verbal and written communication skills with the ability to explain complex data to non-technical stakeholders.
- Attention to Detail: A keen eye for detail and the ability to spot errors in data sets.