Data Senior Associate-Risk Systems

Data Senior Associate-Risk Systems

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The Data Associate role is an intermediate individual contributor role supporting the Risk Systems & AI Transformation Team. This role turns data into clear reporting, business intelligence, and actionable insights that support risk-aware decision-making and operational effectiveness.

As a Data Associate, you will analyze data, develop reporting and dashboards, validate data quality, and partner across Business and Technology to deliver timely, high-quality analytics and automation solutions. This role also helps clarify requirements, coordinate deliverables, increase value, and advance process automation.

The responsibilities for this role are below; you may support projects of varying complexity based on skill and organizational priorities.

Perform Data Analysis:
Collect, analyze, and synthesize data to identify trends, exceptions, and insights that support business needs.

Develop Reporting and Business Intelligence Solutions:
Design, build, and maintain reports, dashboards, and analytical tools, including Power BI solutions, that help stakeholders monitor performance and make informed decisions.

Partner Across Business and Technology:
Work with business, analytics, reporting, and technology partners to clarify requirements, align priorities, and deliver practical analytics and automation solutions.

Support Business Analysis and Project Execution:
Translate business needs into actionable deliverables, track progress, support timely execution, and help ensure quality outcomes.

Standardize Reporting and Analytics:
Engage business partners to implement standardized reporting and analytics, including centrally developed solutions and end-user self-service enablement.

Manage Data Quality and Integrity:
Validate, reconcile, and monitor data to support reliable reporting and analysis.

Communicate Results:
Present findings, limitations, risks, and business impacts clearly to technical and non-technical stakeholders.

Support Continuous Improvement:
Improve reporting processes, automate repeatable work, enhance dashboards, and strengthen analytic usability and reliability.

Other Duties:
Perform other duties as assigned to support your team's and the company's mission.

This position requires an intermediate to experienced level of proficiency. We require a Bachelor's degree in Computer Science, Management Information Systems, Business Analytics, or a related field, along with 5-7 years of practical experience performing analytics with tools. Practical experience with Power BI, data analytics, reporting, and business/technology delivery is required. No alternative qualifications have been identified in lieu of the education and experience requirements.

No additional minimum requirements have been identified.

Qualified candidates will possess an intermediate to experienced degree of proficiency (typically from 5-7 years of work or practical experience), in:

Data Analysis:
Ability to analyze structured and unstructured data, identify trends or exceptions, and translate findings into meaningful business insights.

Analytics and Reporting Tools:
Practical experience performing analytics with tools such as Power BI, Python, Tableau, Business Objects, SQL, Cognos, or similar reporting, visualization, database, or business intelligence tools.

Business Intelligence Development:
Ability to develop accurate, user-friendly, timely reports, dashboards, and data tools aligned to stakeholder needs.

Business Analysis and Project Delivery:
Ability to gather requirements, translate business needs into deliverables, coordinate across Business and Technology, and support quality, timeliness, and value realization.

Data Quality and Validation:
Ability to validate data, monitor quality, reconcile discrepancies, and support confidence in reporting outputs.

Stakeholder Communication:
Ability to communicate technical results, data limitations, priorities, and business impact clearly and professionally.

Critical Thinking and Business Acumen:
Ability to investigate issues, evaluate options, and apply business knowledge to analytics, reporting, self-service solutions, and automation.

Qualified candidates will possess an intermediate to experienced degree of proficiency (typically from 5-7 years of work or practical experience), across a suite of skills including, but not limited to:

Attention to Detail:
Ensuring accuracy, consistency, and completeness in data analysis, reporting, automation, and documentation.

Adaptability:
Adjusting effectively to changing priorities, new tools, and evolving business needs.

Collaboration:

Working effectively with stakeholders, analytics partners, technology teams, and other internal groups to achieve shared outcomes.

Curiosity and Continuous Learning:
Staying current on data sources, reporting methods, automation tools, AI-enabled…