Job Description
Join InsightMetrics Analytics as a Weekend Data Analyst and transform raw data into actionable business intelligence. This unique part-time opportunity allows you to leverage your analytical skills in a dynamic NYC environment while enjoying a flexible weekend schedule. You'll collaborate with cross-functional teams to drive data-driven decisions and contribute to our mission of empowering businesses with cutting-edge analytics.
Our ideal candidate thrives in fast-paced environments and possesses a passion for uncovering hidden insights within complex datasets. This role offers competitive compensation, remote work options, and opportunities for professional growth in a supportive, innovative setting.
Responsibilities
- Analyze complex datasets to identify trends, patterns, and anomalies using SQL, Python, and statistical methods
- Create and maintain interactive dashboards using Tableau and Power BI to visualize key business metrics
- Develop automated data pipelines to streamline reporting processes and ensure data accuracy
- Collaborate with stakeholders to define analytical requirements and deliver actionable insights
- Prepare comprehensive reports and presentations translating technical findings into strategic recommendations
- Monitor KPIs and performance metrics to support data-informed decision-making
- Stay current with industry trends and emerging analytics technologies
Qualifications
- Bachelor's degree in Data Science, Statistics, Computer Science, or related field
- 3+ years of experience in data analysis with proven expertise in SQL and Python
- Advanced proficiency in data visualization tools (Tableau, Power BI)
- Strong statistical knowledge and experience with hypothesis testing and regression analysis
- Experience working with large datasets and cloud platforms (AWS, GCP, Azure)
- Excellent communication skills with ability to translate technical concepts for non-technical audiences
- Ability to work independently and manage multiple projects with tight deadlines
- Portfolio demonstrating previous data analysis projects and business impact