Data Analyst

Role: Data Analyst Type: 6 Month Contract (With Likely Extensions + Possibility of FTE Conversion) Location: Atlanta Metro Area (In-office Monday through Friday) About the Opportunity Insure Technology is partnering with a leading enterprise in the financial services space to identify a talented Data Analyst with deep experience in payments, banking data, and analytics-driven insights. This is a high-impact, hands-on role for a data professional passionate about uncovering patterns, generating insights, and driving data commercialization initiatives across complex financial ecosystems. What You’ll Do • Analyze payment and banking transactions across multiple data sources to identify trends, patterns, and actionable insights. • Work with 3–5 years of historical transaction data (digital banking, ACH, wire, check, and external data) to generate both macro- and micro-level analytics. • Lead end-to-end analytics projects: from requirements gathering and exploratory data analysis to feature engineering and insight delivery. • Utilize tools and frameworks such as Spark, Dask, scikit-learn, and Pandas to perform large-scale data processing and statistical analysis. • Build and maintain data visualizations, dashboards, and reports using Power BI or Tableau to effectively communicate findings to executives and business stakeholders. • Partner cross-functionally with business, product, and engineering teams to translate insights into strategic and operational outcomes. What You’ll Need to Have • Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field. • 5+ years of experience as a Data Analyst, Data Scientist, or Data Engineer. • 3+ years in the payments or banking industry, with strong knowledge of core banking, digital banking, ACH, wire, and check processing. • Advanced proficiency in SQL and a computing language such as Python or R. • Experience working with data platforms like Databricks, Snowflake, Azure, or NoSQL databases. • Strong communication and stakeholder management skills; able to convey analytical findings in clear, business-relevant terms. What Would Be Great to Have • Master’s degree in a related field. • Expertise in digital payments, bill pay, ACH, wire, card, and check transaction data. • Experience with statistical analysis and machine learning techniques (e.g., regression, clustering, classification, time series). • Familiarity with ML Ops frameworks (MLFlow, Kubeflow, Azure ML, or SageMaker). • Exposure to generative AI or large language model (LLM) applications in analytics environments. Interested? If you’re a data-driven problem solver who thrives in complex financial environments, we’d love to hear from you. 👉 Apply or connect with our recruiting team at Insure Technology to learn more.