Job Description
Are you a detail-oriented data enthusiast looking for a flexible opportunity in a top-tier tech environment? Apex Data Innovations is seeking a skilled Part-Time Data Analyst to join our New York-based team. In this role, you will be at the forefront of our data strategy, turning complex datasets into actionable insights that drive business growth.
We are looking for someone who thrives in a fast-paced, collaborative setting and is passionate about uncovering the stories hidden within numbers. This position offers a competitive salary and the flexibility of part-time hours, perfect for those balancing other commitments while advancing their career.
Responsibilities
- Extract, clean, and transform large datasets using SQL and Python to ensure data integrity and accuracy for reporting.
- Design, develop, and maintain interactive dashboards and visualizations using Tableau and PowerBI to track key performance indicators (KPIs) and business metrics.
- Collaborate with product management and engineering teams to define data requirements and support technical decision-making processes.
- Conduct statistical analysis and A/B testing to evaluate marketing campaigns and product feature performance.
- Identify data anomalies and troubleshoot data quality issues to maintain high standards of analytics.
- Create comprehensive reports and executive summaries for stakeholders, translating technical findings into business value.
Qualifications
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Economics, or a related quantitative field.
- Proven experience with SQL for database querying, data manipulation, and complex joins.
- Proficiency in data visualization tools such as Tableau, PowerBI, or Looker.
- Strong analytical mindset with the ability to interpret complex data sets and communicate insights clearly to non-technical audiences.
- Familiarity with Python or R for data analysis is highly preferred.
- Excellent organizational skills and the ability to manage multiple projects in a high-volume environment.