Job Description
Urgent Hiring Alert: Apex Data Systems is looking for a results-oriented Data Analyst to join our team in Detroit, MI. We are offering flexible remote options for this role, allowing you to work from anywhere while contributing to high-impact projects.
As a Data Analyst at Apex, you will bridge the gap between raw data and strategic business decisions. You will be responsible for mining data, identifying trends, and creating compelling visualizations that drive growth for our clients. If you have a passion for numbers and a knack for storytelling through data, we want to hear from you.
Key Highlights:
- Competitive Compensation: Base salary $75k - $105k DOE.
- Flexible Work: Hybrid and remote options available.
- Growth: Fast-paced environment with leadership opportunities.
Responsibilities
- Extract, clean, and transform large datasets using SQL and Python to ensure data integrity for analysis.
- Design and maintain interactive dashboards in Tableau or Power BI to visualize key performance indicators (KPIs).
- Conduct deep-dive statistical analysis to uncover market trends, customer behavior patterns, and operational inefficiencies.
- Collaborate with cross-functional teams (Marketing, Finance, Operations) to translate complex data findings into actionable business insights.
- Create detailed reports and presentations to communicate findings to stakeholders and executive leadership.
- Identify opportunities for process improvement by analyzing existing data workflows and systems.
Qualifications
- Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related field.
- 3+ years of professional experience as a Data Analyst or similar role.
- Expert proficiency in SQL (PostgreSQL, MySQL) and Python (Pandas, NumPy).
- Strong working knowledge of data visualization tools (Tableau, Power BI, or Looker).
- Excellent problem-solving skills with the ability to think critically and analytically.
- Strong verbal and written communication skills with the ability to explain technical concepts to non-technical audiences.
- Experience with cloud data warehouses (AWS Redshift, Google BigQuery) is a plus.