Data Analyst - Clubspeed

The Data Analyst will be responsible for analyzing and interpreting complex company and customer data to provide actionable insights that drive business strategies. This role requires a strong analytical mindset, proficiency in data analysis tools, and the ability to communicate findings effectively with a

What you’ll do: 

• Develop and maintain analytical capabilities and drive in-depth analyses on finance, GTM, services and operations, including loss mitigation, fraud prevention, profitability, customer experience, product, sales, compliance and operations efficiency, etc; 

• Develop and maintain dashboards, reports and visualizations, including Tableau, Hubspot, SaaS Grid and other reporting tools; 

• Utilize statistical and behavior analysis, data mining, and machine learning techniques to uncover correlations, causations, and predictive models related to financial and customer data;

• Analyze and monitor sub-merchant payment transactions across multiple sources, identify patterns, investigate anomalies and collaborate with payment processor or in-house technical teams to uncover causation; 

• Uncover anomalies in data that drive investigations, discussions and require action by cross-functional teams or 3rd parties;

• Collaborate with Finance, Product and Operations leaders to shape the future of our payment processing, product and operational roadmaps by monitoring results and generate data driven recommendations;

• Continuously improve analytical processes and tools to increase efficiency and reporting to executive team;

• Provide ongoing analysis and interpretation of data, identifying trends, anomalies, and opportunities for improvement;

• Facilitate meetings with business and technical stakeholders to query and gather information, conduct research, document findings, and analyze data to support various initiatives; 

What you’ll bring: 

• 1-3+ years work experience in analytical roles in technology and finance industry

• Experience in credit, product, finance or operations analytics, proficient in Python / R, GSheet / Excel, SQL, Node

• Experience working with large datasets, unstructured data, data modeling, and data pipelines using tools like Databricks, Snowflake, Segment, SaaSGrid, Hubspot, Tableau, etc…

• Experience with ETL, source control and regex

• Experience deriving actionable insights from analysis and analytical storytelling

• Degree in Economics, Mathematics, Engineering, Data Science or other quantitative fields

• Experience conducting and evaluating A/B tests, preferred