Job Description
Are you a Data Analyst ready to make an immediate impact?
We are a fast-paced, forward-thinking organization in the heart of Chicago looking for a talented Data Analyst to join our growing team. Due to business expansion, we are urgently seeking a professional who can transform complex data into actionable business intelligence.
In this role, you will be the bridge between our data and decision-makers, leveraging cutting-edge tools to drive strategic growth. If you have a passion for uncovering stories within numbers and thrive in a collaborative, dynamic environment, we want to hear from you.
Why Join Us?
- Competitive Compensation: $75k - $95k annual salary.
- Modern Tech Stack: Work with the latest tools including SQL, Python, and Tableau/Power BI.
- Professional Growth: Opportunities for mentorship and career advancement.
- Dynamic Culture: Join a team that values innovation and transparency.
Responsibilities
- Extract, clean, and analyze large datasets from various sources to identify trends, patterns, and anomalies.
- Develop and maintain interactive dashboards and visualizations in Tableau and Power BI to support executive reporting.
- Collaborate closely with product and marketing teams to define key performance indicators (KPIs) and success metrics.
- Write complex SQL queries and scripts to automate reporting processes and improve data accuracy.
- Conduct statistical analysis to forecast business outcomes and provide data-driven recommendations.
- Document data processes and create clear, concise reports for stakeholders.
Qualifications
- Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field.
- 2+ years of professional experience as a Data Analyst or similar role.
- Advanced proficiency in SQL (PostgreSQL, MySQL, or Snowflake) is required.
- Strong experience with Python or R for data manipulation and analysis.
- Proven ability to create compelling data visualizations using Tableau, Power BI, or Looker.
- Excellent communication skills with the ability to explain complex data concepts to non-technical stakeholders.