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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in analyzing payment and banking transactions, with strong proficiency in SQL and Python, particularly PySpark. Capable of delivering insights through statistical data analysis and collaborating effectively with stakeholders to implement data-driven solutions.
Highest-signal resume keywords
7+ Years Experience In Payments IndustryProficiency In SQLStrong Knowledge Of Core BankingProficiency In Python, Preferably PysparkExperience With Databricks And Snowflake
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Analyze payment and banking transactions across multiple data sources
- Identify patterns and build insights for data commercialization
- Analyze 3 to 5 years of historic transaction data across banking, digital banking, check data, external data, and payments
- Create macro- and micro-level statistics
- Support end-to-end analytics projects, including requirements development, exploratory data analysis, data wrangling, and final-delivery data quality checks
- Assist in communicating insights and implementing solutions across stakeholders
- Work within the Data Architecture team to develop scalable, privacy-safe, commercially differentiated data products
Requirements
What you’ll need- 7+ years of experience in the payments industry
- Strong knowledge of Core banking, ACH, Wire, Check, or Card processing
- Proficiency in SQL
- Proficiency in a computing language such as Python, preferably PySpark
- Strong working knowledge of Databricks, Snowflake, Azure, or NoSQL databases
- Experience with reference data management tools and building data dictionaries
- Business requirements analysis
- Ability to work in a highly collaborative team environment with multiple stakeholders
- Bachelor’s degree in engineering, Data Science, Computer Science, Statistics, Applied Mathematics, or 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, such as SVM, regression, classification, clustering, and time series
- Experience with entity resolution involving business or consumer
- Valid and unrestricted U.S. work authorization required; candidates requiring sponsorship are not considered
Benefits
Comp & perks- Annual incentive opportunity, potentially delivered as a mix of cash bonus and equity awards
- Approximately 10% travel off-site or to other office locations
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisStatistical Data AnalysisPattern Recognition TechniquesData WranglingBusiness Requirements AnalysisBuilding Data DictionariesEntity ResolutionMacro- And Micro-Level StatisticsData Quality ChecksExploratory Data Analysis
Soft Skills
Collaborative Team EnvironmentCommunication Skills
Tools & Technologies
DatabricksSnowflakeAzureNoSQL DatabasesReference Data Management Tools
Industry Keywords
Banking TransactionsDigital PaymentsACH PaymentsWire PaymentsCard Payment TransactionsCheck Payment TransactionsBillPay Transaction Data