Senior Data Analyst

Fiserv • Alpharetta, NJ

6d • Onsite

About The Position

Fiserv is seeking a Senior Data Analyst for its Data Architecture team within Data Commerce Solutions. The team is developing data intelligence products across issuing, banking, and acquiring that turn Fiserv’s transaction data into scalable, privacy-safe products with measurable client value. The analyst will examine payment and banking data from multiple sources, develop insights for data commercialization, and contribute to end-to-end analytics projects and client deliverables.

Requirements

• At least 7 years of experience in the payments industry, with strong knowledge of core banking, ACH, wire, check, or card processing.
• Proficiency in SQL and a computing language such as Python, preferably PySpark.
• Strong working knowledge of data platforms such as Databricks, Snowflake, and Azure, or NoSQL databases.
• Experience with reference data management tools and building data dictionaries.
• Business requirements analysis experience.
• Ability to work collaboratively with multiple stakeholders, including business, product development, architecture, and engineering teams.
• Bachelor’s degree in engineering, data science, computer science, statistics, applied mathematics, or a related field.
• Must currently possess valid and unrestricted U.S. work authorization; candidates requiring sponsorship now or in the future will not be considered.

Nice To Haves

• Knowledge of banking transactions, digital payments, BillPay transaction data, ACH payments, wire payments, card payments, or check payment transactions.
• Proficiency with statistical data analysis and pattern recognition techniques such as SVM, regression, classification, clustering, and time series.
• Experience with entity resolution involving businesses or consumers.

Responsibilities

• Analyze payment and banking transactions across multiple data sources, identify patterns, and develop insights for data commercialization.
• Analyze three to five years of historical banking, digital banking, check, external, and payment data to create macro- and micro-level statistics.
• Support end-to-end analytics projects, including requirements development, exploratory data analysis, data wrangling, and data quality checks on final client deliveries.
• Assist with communicating insights and implementing solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior