What does a successful Senior Data Analyst do at Fiserv?
At Fiserv, we don’t just process data; we unlock its potential to drive innovation and growth. With over 35 billion financial transactions annually—25,000 transactions per second across 6 million merchants—we engage with nearly every American household, generating valuable data to serve our customers and markets.
Our Data Commerce Solutions team harnesses this scale to create impactful products and insights. From detecting fraud and analyzing economic trends to empowering small businesses with customer insights, we drive meaningful change across the business landscape.
If you’re passionate about leveraging data to solve big problems and create customer-focused solutions, join us in shaping the future of commerce. Together, let’s transform data into opportunity.
What you will do:
- Analyze payment and banking transactions across multiple data sources, identify patterns and build insights for data commercialization.
- Analyze 3 to 5 years historic transaction data on banking, digital banking, check data, External data, payments to create macro and micro level stats.
- Support end-to-end analytics projects including requirement development, explorative data analysis, data wrangling, feature engineering, rules and model fitting and deployment.
- Work with several frameworks including Spark, DASK, sci-kit learn, Pandas.
- Assist in the communication of insights and the implementation of solutions across the organization including development of data visualizations, dashboards and the presentation of results to key stakeholders and executives.
- Experience and proficiency in visualization tools like (e.g. Power BI, Tableau)
What you will need to have:
- Bachelor’s degree in Engineering, Data Science, Computer Science, Statistics, Applied Mathematics, or related field.
- 10+ years of experience as a Data Architect, Data Analyst or in a related role.
- 7+ years of experience in a Payments industry with strong knowledge of Core Banking, Digital banking, ACH, Wire or Check processing.
- Proficiency in SQL and a computing language such as Python or R.
- Working knowledge of data platforms such as Databricks, Snowflake & Azure or NoSQL Databases.
- Experience working in a collaborative team environment with multiple stakeholders.
What would be great to have:
- Master's degree in related field.
- Knowledge of banking transactions, Digital Payments, Billpay transaction data, ACH Payments, Wire payments Card payment and or Check Payment transactions.
- Proficiency with statistical data analysis and pattern recognition techniques (e.g., SVM, regression, classification, clustering, time series).
- Experience with one or more ML Ops frameworks — MLFlow, Kubeflow, Azure ML, Sagemaker.
- Experience with ML approaches: deep learning, generative AI, large language models, logistic regression, gradient descent.
Important info about this role:
- This role is on-site Monday through Friday. Fiserv considers in-person collaboration to be an essential part of this role as in-person office experiences help you with your overall onboarding experience and leads to stronger productivity.
- In order to be considered, you must be legally authorized to work in the U.S. without need for sponsorship now or in the future.
- This is a full-time, direct-hire position, and no contract options for unsolicited agency submissions will be considered.
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