Job Description
We are seeking a highly analytical and detail-oriented Data Analyst to join our dynamic team in Houston, Ohio. As a part-time professional at one of the nation's top tech companies, you will have the unique opportunity to drive decision-making processes through data-driven insights. We offer a flexible schedule, competitive compensation, and a collaborative environment that values innovation and precision.
Why Join Us?
- Work with cutting-edge data visualization tools and technologies.
- Flexible part-time schedule to suit your lifestyle.
- Competitive hourly rate and comprehensive benefits package.
- Opportunity for professional growth within a top-tier tech firm.
If you are passionate about uncovering stories within data and thrive in a fast-paced environment, we encourage you to apply today.
Responsibilities
- Collect, clean, and process large sets of raw data to identify trends and patterns.
- Design and maintain interactive dashboards using tools such as Tableau, PowerBI, or Looker to visualize key performance indicators (KPIs).
- Perform complex statistical analysis to support business strategy and operational improvements.
- Collaborate with cross-functional teams to understand business requirements and translate them into data models.
- Create detailed reports and presentations for stakeholders, highlighting actionable insights.
- Ensure data integrity and accuracy by validating sources and performing routine quality checks.
- Identify opportunities for process automation to improve data collection efficiency.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related field (or equivalent practical experience).
- Proven experience in data analysis, preferably in a part-time or internship capacity.
- Proficiency in SQL for querying databases and extracting data.
- Strong proficiency in Excel, including advanced functions and pivot tables.
- Experience with data visualization tools (Tableau, PowerBI, or similar).
- Excellent problem-solving skills with a keen attention to detail.
- Strong communication skills, with the ability to explain complex data concepts to non-technical audiences.