Job Description
Are you passionate about transforming raw data into actionable business insights? Apex Logic Solutions is seeking a highly analytical and strategic Data Analyst to join our innovative team. We are proud to offer a fully remote work environment, allowing you to collaborate with industry leaders from anywhere in Ohio (or the US).
In this pivotal role, you will dive deep into complex datasets to uncover trends, patterns, and opportunities that drive our business growth. You will work closely with cross-functional stakeholders to build robust reporting frameworks and interactive dashboards that empower decision-making at every level.
Why You’ll Love Working With Us:
- Remote-First Culture: Enjoy the flexibility of working from home while maintaining a strong team connection.
- Competitive Compensation: Base salary ranging from $90,000 to $140,000 based on experience.
- Growth Opportunities: Access to continuous learning resources and career advancement paths.
If you have a knack for numbers and a desire to solve complex problems, we want to hear from you.
Responsibilities
- Collect, clean, and transform large, complex datasets from multiple sources using SQL and Python.
- Design and develop interactive, user-friendly dashboards in Tableau and Power BI to visualize key performance indicators (KPIs).
- Perform advanced statistical analysis and forecasting to identify business trends and anomalies.
- Collaborate with product managers, engineers, and marketing teams to define data requirements and deliver actionable insights.
- Document data pipelines, analytical processes, and methodologies to ensure transparency and reproducibility.
- Present complex data findings to non-technical stakeholders in a clear, concise, and compelling manner.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related field.
- 3+ years of professional experience as a Data Analyst, Business Intelligence Analyst, or similar role.
- Strong proficiency in SQL (PostgreSQL, MySQL, or Snowflake) for querying and data manipulation.
- Experience with programming languages such as Python or R for data analysis and automation.
- Expertise in data visualization tools, specifically Tableau or Power BI.
- Excellent problem-solving skills, attention to detail, and a data-driven mindset.