Data Analyst

Hobbs Madison, Inc.; Dallas (TX); Remote; USD 85,000 - 125,000; Full time

Job summary

Hobbs Madison, Inc. is seeking a Data Analyst with hands-on data management experience in the financial services sector. You will partner with client teams to define how enterprise data is ingested, cleansed, governed, mastered, and distributed across organizations.

The role focuses on Customer and Party MDM, data quality, lineage, and implementation roadmaps, with remote work and occasional travel. Strong Excel, PowerPoint, and communication skills are essential.

Qualifications

• 5+ years of experience as a Data Analyst, Data Management Analyst, MDM Analyst, or similar role.
• Experience within financial services or consulting for banking and financial services clients.
• Strong understanding of Master Data Management, preferably Customer or Party MDM.
• Hands-on data definitions, metadata, data lineage, data mapping, and data quality analysis.
• Experience with data ingestion, transformation, validation, and automated data quality processes.
• Experience defining data quality rules, controls, monitoring, and remediation processes.
• Familiarity with data governance frameworks and data stewardship workflows.
• Strong Excel skills and ability to analyze large datasets.
• Proficient in PowerPoint, Word, Visio; able to create detailed data flow diagrams and client documentation.
• You communicate effectively with business and technical stakeholders and can lead client interviews.

Responsibilities

• Define Customer and Party MDM scope, use cases, KPIs, and success criteria.
• 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.
• Analyze source data and define ingestion, transformation, validation, and quality checks requirements.
• Develop data quality rules, controls, monitoring, remediation workflows, and auditability standards.
• Define entity resolution, matching, survivorship, and test scenarios for trusted master records.
• Support enterprise data governance models, stewardship responsibilities, and issue management workflows.
• Develop MDM architecture blueprints with data mastering and distribution requirements.
• Assist in developing MDM implementation roadmaps and mobilization plans.
• Facilitate data analysis sessions with stakeholders and technical teams.
• Prepare mappings, analyses, and presentations for client leadership.

Skills

Data analysis

Data management

MDM

Excel

PowerPoint

Visio

Jira

SharePoint

Stakeholder communication

Tools

Jira

SharePoint

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.

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