Job Description
About the Role
We are seeking a highly analytical and detail-oriented Data Analyst to join our growing team in New York. In this pivotal role, you will transform raw data into actionable business insights, driving strategic decisions across our organization. We offer competitive weekly pay and exciting equity options for our full-time employees, making this a fantastic opportunity for career growth.
Why Join Apex Data Solutions?
- Competitive Weekly Pay: Get paid on time, every week, with no waiting periods.
- Equity Options: Own a piece of the company as we scale.
- Premium Benefits: Comprehensive health, dental, and vision insurance.
- Modern Tech Stack: Work with the latest tools in data science and analytics.
What You Will Do
As our Data Analyst, you will bridge the gap between data and decision-making. You will work closely with cross-functional teams to identify key performance indicators (KPIs), interpret complex datasets, and present findings in a clear, compelling manner to stakeholders.
Responsibilities
- Collect, clean, and process large sets of raw data to ensure high data quality and accuracy.
- Develop and maintain interactive dashboards and reports using Tableau, Power BI, or Looker.
- Perform statistical analysis to identify trends, patterns, and anomalies in data.
- Collaborate with product and marketing teams to optimize business strategies based on data insights.
- Document data processes and methodologies to ensure scalability and transparency.
- Forecast future trends and provide recommendations to senior leadership.
Qualifications
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related field.
- 3+ years of professional experience as a Data Analyst or similar role.
- Strong proficiency in SQL (querying and database management).
- Expertise in visualization tools (Tableau, Power BI, or similar).
- Proficiency in programming languages such as Python or R.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate complex data concepts to non-technical audiences.