Banking Data Analyst / Techno-Functional BA

ConsultNet Technology Services and Solutions is recruiting for a Pennsylvania community bank seeking a Banking Data Analyst / Techno-Functional BA for a six-week data-platform assessment and design engagement. The role will gather business requirements, profile critical data elements, document current-state systems and decisions, assess data quality, and support governance and Phase 2 planning for future AI use cases.

Responsibilities:

• Plan and facilitate one combined working session across commercial lending, retail, and trust to capture what a Customer 360 view must answer, current cross-sell blind spots, and underwriting data needs
• Document outcomes as a use-case and key requirements log that feeds the architecture and Phase 2 plan
• Send agendas and pre-reads three business days ahead and confirm attendees so the bank's time is protected
• Issue outcomes, decisions, and actions within 24 hours of every session into a running decision log. Where recording is not permitted, your minutes serve as the formal record
• Confirm ~30 Critical Data Elements (CDEs) with the bank, and map each to every system where it lives
• Profile completeness, validity, consistency, duplication, and cross-system consistency for each CDE, using stated sample sizes and confidence levels
• Flag any CDE that could act as a fair-lending proxy so later governance work starts from a known list
• Size the remediation backlog and ETL and vector-ETL effort at order of magnitude, ranked by which first-use-case prerequisites each issue blocks
• Review everything outside the CDE footprint, including three loan origination systems, at inventory and interface level
• Build the source inventory (owner, domain, location, volumes, interfaces) from the bank's artifacts, and baseline the existing AI footprint such as fraud, AML, and BSA summarization
• Support the maturity scorecard by gathering and organizing the evidence behind each score
• Support the Lead Data Architect on the governance framework, stewardship model, and Phase 2 plan inputs
• Work side by side with the bank's Salesforce-strong analysts so the team picks up profiling and documentation practice during the engagement

Requirements:

• 6+ years as a data analyst, business analyst, or techno-functional BA, with at least 3 years in banking or financial services
• Strong hands-on SQL, and experience profiling data for completeness, validity, consistency, and duplication with a profiling tool or in code
• Working knowledge of banking data domains: customer and account, deposits, commercial and retail lending, loan origination, and trust or wealth
• Experience facilitating cross-functional requirements sessions and writing clear requirements, use cases, and decision logs
• Familiarity with CRM data, ideally Salesforce Financial Services Cloud, and with how data moves between core, CRM, and origination systems
• Strong written communication. Able to produce minutes and structured findings within 24 hours
• Comfortable working inside a small client team and a compressed six-week schedule
• Community bank experience, and exposure to FIS core banking or trust platforms such as InfoBanc
• Experience with Critical Data Element programs, data lineage, or data governance and stewardship
• Knowledge of fair-lending concepts and proxy variables, and of regulatory data expectations such as BSA/AML
• Exposure to MuleSoft or other integration tooling, and to Snowflake, Databricks, or SQL Server environments
• Familiarity with entity resolution, Customer 360 projects, or AI and LLM data prerequisites
• CBAP, CDMP, or comparable certification