Job Description
Are you a detail-oriented Data Analyst looking for an immediate start with relocation support?
Quantum Data Innovations is expanding our analytics team in Columbus, Ohio. We are seeking a talented professional to join us and drive data-driven decision-making across our enterprise. We offer competitive compensation and relocation assistance for candidates who are ready to relocate to our state-of-the-art facility.
In this pivotal role, you will serve as the bridge between raw data and strategic business goals. You will collaborate with cross-functional teams to identify key performance indicators, streamline reporting processes, and uncover actionable insights that fuel growth.
Why Join Us?
- Immediate Hire Opportunity: Start your career or take the next step today.
- Relocation Assistance: We support your move to Ohio.
- Modern Tech Stack: Work with the latest tools in data science and visualization.
- Competitive Benefits: Health, dental, vision, and 401(k) matching.
Responsibilities
- Collect, clean, and validate large datasets to ensure high data quality for analysis.
- Design, develop, and maintain interactive dashboards using Tableau or PowerBI to visualize complex metrics.
- Write complex SQL queries to extract and manipulate data from relational databases and data warehouses.
- Perform statistical analysis to identify trends, patterns, and anomalies in business data.
- Collaborate with stakeholders to define key performance indicators (KPIs) and reporting requirements.
- Present analytical findings and recommendations to executive leadership in a clear, concise manner.
- Automate reporting processes to increase efficiency and reduce manual data entry errors.
Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Statistics, Mathematics, or a related field.
- 3+ years of professional experience as a Data Analyst or similar role.
- Advanced proficiency in SQL (PostgreSQL, MySQL, or Redshift) and Excel.
- Experience with data visualization tools (Tableau, PowerBI, or Looker).
- Strong understanding of data warehousing concepts and ETL processes.
- Excellent communication skills with the ability to translate technical data into business insights.
- Experience with Python or R is a strong plus.