Job Description
Are you a data-driven professional looking to make a high-impact contribution on the weekends? Apex Analytics is seeking a talented Senior Data Analyst to join our elite team in Raleigh, North Carolina. We are a top-tier technology firm dedicated to transforming raw data into strategic assets that drive business growth.
In this role, you will be the architect of our weekend data intelligence operations. You will work autonomously and collaboratively to ensure our data pipelines are robust, our dashboards are intuitive, and our insights are actionable. If you thrive in a fast-paced, high-tech environment and want to lead the analytical charge when the office lights go down, we want to hear from you.
Why Join Us?
- Competitive salary and comprehensive benefits package.
- Flexible weekend schedule allowing for a productive 3-day work week.
- Access to cutting-edge tools and cloud technologies.
- Professional development and leadership opportunities.
Apply today to advance your career with Apex Analytics.
Responsibilities
- Lead Weekend Data Operations: Oversee the collection, processing, and analysis of large-scale datasets during off-peak hours to ensure immediate availability for Monday morning strategy sessions.
- Advanced Analytics & Modeling: Develop complex statistical models and predictive algorithms to forecast trends, optimize operations, and identify new revenue opportunities.
- Dashboard Development: Design and maintain interactive, high-performance dashboards using Tableau or PowerBI that visualize key performance indicators (KPIs) for executive stakeholders.
- Data Governance & Quality: Establish and enforce data quality standards, implement ETL processes, and clean data to ensure accuracy and integrity across all systems.
- Cross-Functional Collaboration: Partner with product managers, engineering teams, and business units to translate complex data requirements into technical solutions.
- Report Generation: Create comprehensive monthly and quarterly analytical reports that provide deep insights into business performance and market shifts.
Qualifications
- Education: Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related quantitative field is required; Master’s degree is a strong plus.
- Experience: Minimum of 4-6 years of professional experience in data analysis, with specific experience in weekend or shift-based analytical roles preferred.
- Technical Skills: Proficiency in SQL (advanced querying), Python or R for data manipulation, and visualization tools (Tableau, PowerBI, or Looker).
- Tools: Strong knowledge of cloud data warehousing (Snowflake, AWS Redshift, or Google BigQuery) and data pipelines (Apache Spark or Airflow).
- Communication: Excellent written and verbal communication skills, with the ability to present complex findings to non-technical audiences clearly and persuasively.
- Soft Skills: Strong problem-solving abilities, attention to detail, and the ability to work independently and autonomously in a hybrid environment.