Job Description
Are you passionate about turning raw data into actionable insights? Apex Analytics is seeking a driven Senior Data Analyst to join our elite team in Philadelphia, PA. We are a top-tier technology firm looking for someone who thrives in a fast-paced environment and loves solving complex problems.
As a Data Analyst at Apex, you will play a pivotal role in shaping our strategic direction by providing deep-dive analytics and data visualization. You will work closely with product managers, engineers, and executives to uncover trends, optimize processes, and drive revenue growth. If you have a knack for storytelling with data and want to work with cutting-edge technology, we want to hear from you.
Responsibilities
- Data Transformation: Extract, clean, and transform complex datasets into clear, actionable insights and executive-level dashboards using SQL and Python.
- Strategic Collaboration: Partner with cross-functional teams to identify key performance indicators (KPIs) and drive data-informed business decisions.
- Visualization: Design and maintain interactive dashboards in Tableau and Power BI to monitor performance metrics in real-time.
- Statistical Analysis: Conduct rigorous A/B testing and statistical modeling to validate hypotheses and optimize product features.
- Reporting: Present findings to stakeholders with high-level storytelling and visual impact, translating technical details into business value.
- Process Improvement: Develop and maintain scalable data models and pipelines to ensure data integrity and accuracy.
Qualifications
- Education: Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, or a related quantitative field.
- Experience: 3+ years of professional experience in data analysis, business intelligence, or a similar analytical role.
- Technical Skills: Proficiency in SQL (PostgreSQL, MySQL) and Python (Pandas, NumPy) is required.
- Visualization: Expert level experience with data visualization tools such as Tableau or Power BI.
- Communication: Excellent written and verbal communication skills, with the ability to present complex data to non-technical audiences.
- Tools: Familiarity with big data technologies (Spark, Hadoop) and cloud platforms (AWS, Azure) is a plus.