Analytics Production: Generate analytics and dashboards to support core business objectives, with a focus on Client Operations, Finance, and Marketing
Statistical Analysis: Apply statistical methods to analyze data, identifying trends and insights that can inform business strategies
Query Writing: Develop and execute SQL queries to collect and analyze raw data, ensuring accurate and efficient data retrieval for analysis
Presentation: Clearly present observations and findings to leadership teams, translating complex data into actionable insights
Data Requirements Writing: Collaborate with the Data Engineering team to specify requirements for new data sources, facilitating the growth of our data warehouse
Product Enhancement: Work alongside the product team to drive product enhancements through improved data utilization
Quality Assurance: Ensure the quality and reliability of new data before it is released to the business
Ad-Hoc Support: Respond to ad-hoc analytics requests, providing timely and impactful data analysis as needed
What You’ll Need to Have:
Educational Background: Bachelor’s Degree or 2+ years of experience in data science, business analytics, or a related role
Data Analytics Proficiency: Strong skills in data analytics and information presentation
Business Acumen: Demonstrated ability to translate business needs into data-driven analysis
Data Visualization Tools: Experience with tools such as Tableau, AWS QuickSight, or similar.
Ownership Mindset: A proactive approach to your work, understanding that the assets you create will be crucial for business decisions
Bonus Points for:
Python, R, or another programming language that can be used for statistical analysis
Bachelor's Degree in a Quantitative field including, but not limited to Data Science, Statistics, Mathematics or Computer Science
Experience using Process Improvement frameworks such as Six Sigma, TQM, Lean or PDCA
Experience with Regression Analysis
Experience with AI/ML Models
Experience with Docker and Kubernetes
Experience with dbt, dbt-core or dbt Cloud
Experience with modern data orchestration frameworks like Argo Workflows, Airflow, or Dagster
Experience with payment processing and the accompanying data