Data Analyst

hobbsmadison; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Hobbs Madison is seeking a Data Analyst with strong data management experience in the financial services sector. You will collaborate with client teams to define, map, and govern enterprise data, focusing on Customer and Party MDM.

The role emphasizes hands-on data analysis, data quality, and cross-functional stakeholder engagement in a remote, full-time setting. Ideal candidates bring 5+ years of relevant work experience, familiarity with MDM concepts, and strong skills in data ingestion,

Qualifications

• 5+ years of experience in data analysis or data management in financial services.
• Hands-on exposure to Master Data Management, especially Customer or Party MDM.
• Experience with data definitions, metadata, lineage, mapping, and data quality analysis.
• Knowledge of data ingestion, transformation, validation, and automated quality checks.
• Experience defining data quality rules, controls, monitoring, and remediation processes.
• Understanding of entity resolution, matching, survivorship, and master records concepts.
• Familiar with data governance frameworks and data stewardship workflows.
• Experience using AI-based techniques for data quality or record matching is a plus.

Responsibilities

• Define MDM scope, prioritized use cases, success criteria, and KPIs with client teams.
• Analyze current-state data environments and develop future-state data requirements.
• Create data flow maps, source-to-user inventories, and data lineage documentation.
• Develop data definitions, metadata, lineage, and issue taxonomies.
• Define ingestion, transformation, validation, and automated quality checks.
• Develop data quality rules, monitoring, remediation workflows, and audit trails.
• Define entity resolution requirements and survivorship concepts.
• Support enterprise data governance models and data stewardship workflows.
• Develop MDM architecture blueprints and distribution requirements.
• Assist in creating MDM implementation roadmaps and mobilization plans.
• Lead data analysis sessions with business and technical stakeholders.
• Prepare clear data mappings and client presentations communicating findings.

Skills

Data analysis

Data management

Master Data Management

Entity resolution

Data governance

Data quality

Stakeholder communication

Jira

SharePoint

Excel

PowerPoint

Visio

Word

Tools

Jira

SharePoint

Visio

PowerPoint

Word

Excel

Job description

Hobbs Madison is a leading consulting firm focused on bridging the gap between business strategy and technology execution. We combine deep technical and management expertise to solve complex challenges, improve capabilities, and drive competitive growth. Our clients include some of the largest banking, insurance and investment firms in the U.S.

We are looking for a Data Analyst with strong data management experience in the financial services industry. This position offers the opportunity to work on complex enterprise data initiatives for large financial institutions, with an initial focus on Customer and Party Master Data Management (MDM).

You will partner closely with our clients’ business and technical teams to define how enterprise data is ingested, cleansed, governed, mastered, and distributed across the organization. You will analyze existing data environments, map data flows and lineage, define data quality requirements, and help develop MDM frameworks and implementation roadmaps. The ideal candidate brings hands‑on data analysis experience within banking or financial services and is comfortable working across business, data, and technology teams.

This is a Remote, Full‑Time position with the possibility of some travel.

Key Responsibilities

• Partner with client business and technical teams to define Customer and Party MDM scope, prioritized use cases, success criteria, and KPIs.
• Analyze and document current‑state data environments and develop future‑state data requirements.
• Create detailed data flow maps, source‑to‑user inventories, and data lineage documentation across systems and business functions.
• Develop data definition documentation including business definitions, data conventions, metadata, lineage, and issue taxonomies.
• Analyze source data and define requirements for data ingestion, transformation, validation, and automated quality checks.
• Develop data quality rules, control frameworks, monitoring requirements, remediation workflows, and auditability standards.
• Define entity resolution requirements, matching rules, survivorship concepts, and test scenarios used to establish trusted master records.
• Support the design of enterprise data governance models, stewardship responsibilities, and issue management workflows.
• Partner with technical teams to develop MDM architecture blueprints, including data mastering and distribution requirements.
• Assist in developing MDM implementation roadmaps, priorities, dependencies, and mobilization plans.
• Facilitate data analysis and requirements sessions with business stakeholders, data owners, subject matter experts, and technical teams.
• Prepare clear data mappings, analysis, documentation, and presentations to communicate findings and recommendations to client teams and leadership.

About You

• You have 5+ years of experience as a Data Analyst, Data Management Analyst, MDM Analyst, or similar role.
• You have experience working directly within financial services or consulting for banking and financial services clients.
• You have a strong understanding of Master Data Management, preferably Customer or Party MDM.
• You have hands‑on experience with data definitions, metadata, data lineage, data mapping, and data quality analysis.
• You understand data ingestion, transformation, validation, and automated data quality processes.
• You have experience defining data quality rules, controls, monitoring, and remediation processes.
• You understand entity resolution, matching, survivorship, and master record concepts.
• You are familiar with data governance frameworks and data stewardship workflows.
• Experience using AI‑based techniques for data quality, entity resolution, record matching, or data disambiguation is highly preferred.
• You communicate effectively with both business and technical stakeholders and are comfortable leading client interviews and collaborative working sessions.
• You are a strong team player who works effectively with mixed teams of client stakeholders, consultants, and subject matter experts.
• You have a track record of working successfully in a remote environment and managing your responsibilities with limited day-to-day supervision.
• Experience with Jira and SharePoint is preferred.
• You have strong Excel skills and are comfortable analyzing large and complex data sets.
• You have strong PowerPoint, Word, and Visio skills and are comfortable creating detailed data flow diagrams and client documentation.

Our History

Founded in 2002, Hobbs Madison Inc. is a consulting firm specializing in technology and business solutions for the financial services industry. We partner with leading banks, insurance companies, and investor services firms to maximize existing platforms, implement innovative solutions, and deliver results quickly.

Our senior consultants average 15+ years of industry and technology experience, combining technical expertise, business insight, and clear communication to solve complex challenges. Known for our speed, precision, and collaborative approach, we help clients navigate change, improve capabilities, and strengthen their competitive edge.

Hobbs Madison has established a reputation among its clients as one of the leading Strategy and IT Consultants in the U.S. for the financial services industry.

#LI-Remote #Full-Time