Job Description
We are looking for a talented Data Analyst to join our elite team in Houston, Ohio. If you thrive in a fast-paced environment and are seeking a weekend shift role with significant growth potential, we want to hear from you. We offer Relocation Assistance to help you move to our state-of-the-art facility.
In this role, you will bridge the gap between complex data sets and actionable business insights. You will work closely with cross-functional teams to optimize operations and drive strategic decision-making. Join a company that values innovation, data integrity, and employee well-being.
Why Join Us?
- Relocation Assistance: We will cover moving costs for the right candidate.
- Competitive Pay: Comprehensive benefits package including health, dental, and vision.
- Weekend Shift Benefits: Enjoy your weekdays free with premium shift differentials.
Responsibilities
- Analyze large, complex datasets to identify trends, patterns, and anomalies to support business strategies.
- Design, develop, and maintain interactive dashboards and visualizations using tools like Tableau or Power BI.
- Collaborate with stakeholders to understand data requirements and translate them into technical solutions.
- Perform data cleaning, validation, and quality assurance to ensure accuracy.
- Generate regular reports and predictive models to forecast performance and identify risks.
- Automate manual reporting processes to increase efficiency.
- Document data pipelines and analytical methodologies for team knowledge sharing.
Qualifications
- Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field (or equivalent experience).
- Proven experience (3+ years) as a Data Analyst, preferably in a weekend shift capacity.
- Advanced proficiency in SQL for querying and manipulating databases.
- Strong programming skills in Python or R for data manipulation and analysis.
- Expertise in data visualization tools (Tableau, Power BI, or Looker).
- Excellent problem-solving skills with a keen attention to detail.
- Strong communication skills to present data findings to non-technical audiences.