Job Description
Are you a data-driven professional looking to join a top tech company with the flexibility of remote work? Apex Data Systems is seeking a skilled Data Analyst to join our dynamic team in Sacramento, CA. We pride ourselves on innovation, offering a competitive salary structure and the convenience of daily pay options for our employees.
In this role, you will bridge the gap between complex datasets and business strategy, helping us unlock actionable insights that drive growth. You will work closely with leadership to define KPIs and create comprehensive reporting solutions.
Responsibilities
- Collect, clean, and analyze large, complex datasets to identify trends, patterns, and opportunities for business improvement.
- Design, develop, and maintain interactive dashboards and visualizations using Tableau, Power BI, or Looker to visualize key performance indicators.
- Collaborate with cross-functional teams (Product, Sales, and Marketing) to define data requirements and reporting needs.
- Perform statistical analysis and forecasting to support strategic decision-making processes.
- Ensure data accuracy, integrity, and consistency across all reporting systems and databases.
- Automate manual reporting processes and create reusable data pipelines to improve operational efficiency.
- Present data findings and insights to non-technical stakeholders in a clear, concise, and compelling manner.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
- 3+ years of professional experience in Data Analysis, Business Intelligence, or a similar role.
- Strong proficiency in SQL for data querying, extraction, and manipulation.
- Experience with programming languages such as Python or R for data analysis.
- Expert knowledge of data visualization tools (Tableau, Power BI, or Google Data Studio).
- Excellent communication skills, with the ability to explain complex data concepts to non-technical stakeholders.
- Self-motivated and able to work independently in a remote-first environment.