Job Description
Join Nexus Analytics LLC, a leading data intelligence firm in NYC, and accelerate your career with our revolutionary weekly pay system! We're seeking a meticulous Data Analyst to transform raw data into strategic insights that drive business growth. This full-time role offers competitive compensation, cutting-edge tools, and the unique benefit of receiving your paycheck every week—no more waiting until month-end!
Our dynamic team works with Fortune 500 clients across finance, healthcare, and retail sectors. You'll collaborate with senior data scientists to uncover market trends, optimize operations, and present findings to C-level executives. If you're passionate about turning complex datasets into actionable stories, this is your opportunity to thrive.
Responsibilities
- Design and implement automated data pipelines using SQL and Python to ensure real-time data accessibility
- Create interactive dashboards and visualizations using Tableau/Power BI for executive decision-making
- Analyze large datasets to identify market trends, customer behaviors, and operational inefficiencies
- Collaborate with cross-functional teams to translate business requirements into technical solutions
- Develop statistical models to forecast sales, customer churn, and market opportunities
- Present complex findings through concise reports and compelling data narratives
- Maintain data quality standards and implement robust validation protocols
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of professional data analysis experience with SQL and Python
- Expertise in data visualization tools (Tableau/Power BI) and statistical analysis
- Strong understanding of statistical modeling techniques (regression, clustering, time series)
- Proven ability to translate technical findings into business recommendations
- Experience with cloud platforms (AWS/GCP) and big data technologies
- Excellent problem-solving skills with attention to detail
- Portfolio demonstrating data-driven projects with measurable impact