Data Analyst-AVP

Barclays; Whippany (NJ); On-site; USD 144,000 - 155,000; Full time

Benefits offered by this job

Medical, dental & vision

401(k)

Life insurance

Paid leave

Incentive award

Job summary

Barclays Services Corp. in Whippany, NJ seeks a Data Analyst-AVP to develop predictive models, automate data pipelines, and build dashboards for regulatory reporting.

The role emphasizes governance, data quality, and end-to-end analytics across SQL, Python, and Tableau, with focus on scalable controls and risk insight. The ideal candidate will integrate models into reporting workflows, improve processes, and support audits and regulatory inquiries through clear documentation and robust data

Qualifications

• Experience with ML/AI, NLP, and predictive analytics for regulatory insights.

Responsibilities

• Develop, implement, and apply ML/AI/NLP/Deep Learning, predictive analytics, and forecasting models for regulatory insights and risk identification.

Skills

ML/AI

Predictive Analytics

NLP

Deep Learning

Python

Tableau

SQL

Data governance

Data quality

Regulatory reporting

Tools

Python

SQL

Tableau

VBA

Alteryx

Power Automate

PowerApps

Job description

What will you be doing?

Barclays Services Corp. seeks Data Analyst-AVP in Whippany, NJ (multiple positions available):

• Develop, implement, and apply ML/AI/NLP/Deep Learning, Predictive Analytics, and Forecasting Models to support regulatory insights, dataquality trend analysis, and risk identification.
• Build, train, test, evaluate, and document models using Python and associated analytical libraries (e.g., pandas, NumPy, scikit learn, SpaCy).
• Integrate models into reporting workflows, automation pipelines, or decision support tools; perform feature engineering.
• Analyze current reporting/operational processes to identify opportunities for automation and efficiency gains.
• Replace manual steps with end to end automated workflows using Python, VBA, Alteryx, and Microsoft Power Platform (Power Automate/PowerApps).
• Standardized processes to improve scalability, capacity, reliability, and control effectiveness.
• Build interactive dashboards using Tableau.
• Source, prepare, validate, and transform data for regulatory reporting; maintain logic, lineage, and documentation in accordance with internal controls and external regulatory expectations.
• Build automated, repeatable regulatory reporting pipelines using Python, SQL, and Tableau.
• Apply data governance practices, including data quality controls, validation checks, metadata and lineage management, and adherence to policies for data integrity, security, accessibility, and regulatory compliance.
• Provide audit and regulatory examination support, including documentation, methodology explanations, evidence for controls testing, and responses to risk/compliance inquiries.
• Maintain and optimize database structures and queries supporting regulatory reporting and analytics across relational and/or cloud environments.
• Prepare technical documentation for regulatory reporting processes, automated workflows, data pipelines, and analytical models.
• Conduct end to end testing, including requirements validation, test planning, test case execution, UAT coordination, defect management, and production deployment readiness.

Salary / Rate Minimum/yr: $144,414 per year

Salary / Rate Maximum/yr: $155,000 per year

The minimum and maximum salary/rate information above includes only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

Barclays employees are eligible for a suite of a competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances.

This position is eligible for an incentive award.

Purpose of the role

To enable data-driven strategic and operational decision making through extracting actionable insights from large datasets, performing statistical and advanced analytics to uncover trends and patterns, and presenting findings through clear visualisations and reports.

Accountabilities

• Investigation and analysis of data issues related to quality, lineage, controls, and authoritative source identification, documenting data sources, methodologies, and quality findings with recommendations for improvement.
• Designing and building data pipelines to automate data movement and processing.
• Apply advanced analytical techniques to large datasets to uncover trends and correlations, develop validated logical data models, and translate insights into actionable business recommendations that drive operational and process improvements, leveraging machine learning/AI.
• Through data-driven analysis, translate analytical findings into actionable business recommendations, identifying opportunities for operational and process improvements.
• Design and create interactive dashboards and visual reports using applicable tools and automate reporting processes for regular and ad-hoc stakeholder needs.

Assistant Vice President Expectations

• To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions.
• Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes
• If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others.
• OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
• Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.
• Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders to achieve outcomes.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.