Job Description

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 deep level of curiosity and appetite for learning, which drives you to finding outstanding solutions. What youll 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 youll 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

Club Speed Inc

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