Analytics Solution Associate Senior

Deliver analytics data products & AI/ML solutions end-to-end: define KPIs build pipelines ensure quality support MLOps & controls.

As an Analytics Solution Associate in Consumer & Community Banking you will support the delivery of analytics data products and applied AI/ML solutions. You will contribute across the delivery lifecycleproblem definition requirements data engineering basic model development production support and documentationwhile partnering with Product Technology Data Governance and Risk/Controls.

Job Responsibilities

• Support stakeholders in translating business needs intoclear problem statements KPIs and success metrics(e.g. servicing insights customer engagement marketing measurement forecasting anomaly detection).
• Assist in maintaining delivery hygiene:action items RAID logs dependency tracking and status updates.
• Build and enhancebatch data pipelines(and support streaming where applicable) to produce curated trusted datasets under guidance.
• Help developanalytics-ready layers(data marts/semantic views) with consistent metric definitions and documentation (data dictionary lineage notes runbooks).
• Implement and rundata quality checks(tests reconciliations completeness/timeliness checks) and support monitoring/alerting and SLA tracking.
• Contribute to ML use cases (e.g. propensity/segmentation next-best-action components forecasting anomaly detection basic NLP for servicing insights) under senior oversight.
• Supportfeature engineering model training and evaluation and document assumptions/limitations; follow guidance on leakage checks and bias/fairness considerations.
• Follow establishedMLOpspractices: version control reproducible runs basic automated tests monitoring inputs/outputs and supporting retraining/rollback procedures.
• Adhere tosecurity and data governanceexpectations (least-privilege access sensitive data handling retention auditability).
• Produce required delivery and control artifacts (documentation traceability operational procedures) and support control reviews/audits.
• Apply SDLC practices: participate incode reviews follow CI/CD patterns support environment promotion and assist with incident triage/root-cause analysis.

Required Qualifications Capabilities and Skills

• 4 years (or equivalent) experience indata analytics data engineering or ML/AI delivery.
• Working proficiency inSQLand comfort with data modeling fundamentals (tables joins dimensional concepts).
• Hands-on experience building analyses and dashboards inTableau and working with data inSnowflake(e.g. querying validating datasets supporting curated views).
• Working proficiency inPython(or similar) for data processing and basic ML workflows.
• Exposure to modern data platforms (warehouse/lakehouse concepts) and orchestration tools.
• Basic understanding of the applied ML lifecycle (framing build deploy monitor) and common evaluation metrics.
• Comfort operating in a controlled environment (change management access controls documentation expectations).
• Strong communication skills and ability to work effectively across teams with guidance.

Preferred Qualifications Capabilities and Skills

• Exposure to consumer banking/retail analytics domains (servicing digital customer insights).
• Familiarity withMLOpstooling (experiment tracking/model registry automated pipelines monitoring concepts).
• Exposure toNLP/GenAIuse cases in a governed enterprise environment.
• Awareness of streaming/CDC/event-driven patterns for near-real-time analytics or detection use cases.