Job Description
Are you a detail-oriented professional looking to make an impact in a dynamic tech environment? Apex Data Solutions is currently seeking a talented Part-Time Data Analyst to join our elite team in Houston, Ohio.
We are a top-tier technology company committed to transforming raw data into strategic assets. In this role, you will bridge the gap between complex datasets and business strategy, working closely with our leadership team to drive growth and efficiency. This is a fantastic opportunity for a tech-savvy individual to work with cutting-edge tools while enjoying the flexibility of part-time employment.
Why Choose Apex Data Solutions?
- Work with industry-leading tech stack and data infrastructure.
- Enjoy a competitive hourly rate in a supportive, innovative culture.
- Flexible schedule designed for work-life balance.
- Collaborate with some of the brightest minds in the industry.
Responsibilities
- Data Collection & Processing: Gather, clean, and preprocess large datasets from various sources to ensure accuracy and reliability.
- Dashboard Creation: Design and maintain interactive dashboards using tools like Tableau or Power BI to visualize key performance indicators (KPIs).
- Statistical Analysis: Conduct in-depth statistical analysis to identify trends, patterns, and anomalies that drive business decisions.
- Reporting: Create comprehensive reports and executive summaries for stakeholders, translating complex data into clear, actionable insights.
- Collaboration: Partner with cross-functional teams (marketing, operations, finance) to define data requirements and solve business problems.
- Quality Assurance: Monitor data quality processes and implement improvements to data governance standards.
Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
- Experience: 1-3 years of experience in data analysis, preferably within the tech or e-commerce sector.
- Technical Skills: Proficiency in SQL for database querying and Python or R for data manipulation.
- Visualization: Strong experience with BI tools such as Tableau, Power BI, or Looker.
- Communication: Excellent written and verbal communication skills with the ability to explain technical concepts to non-technical audiences.
- Attention to Detail: High level of accuracy and a meticulous approach to data handling.