Data Analyst

🕒 4 days ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📉 Data Analyst

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Hobbs Madison, Inc.

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2002

💼 Consulting

🛡️ Insurance

🏦 Banking

Consulting • Insurance • Banking

Hobbs Madison, Inc. is a business and technology consulting firm specializing in serving the financial services industry, with core focus areas in banking, investment management, and insurance. The company provides strategy and management consulting, technology and operations solutions, enterprise architecture, data and analytics, transformation services, and sourcing and quality programs to help financial institutions modernize applications, improve customer experiences, optimize processes, and manage risk and regulatory change. Hobbs Madison works with banks, asset managers, and insurers to accelerate business performance through technology-driven solutions and consulting expertise.

📋 Description

• 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 data flow maps, source-to-user inventories, and data lineage documentation across systems and business functions • Develop data definition documentation covering business definitions, data conventions, metadata, lineage, and issue taxonomies • Analyze source data and define requirements for 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 for trusted master records • Support enterprise data governance models, stewardship responsibilities, and issue management workflows • Partner with technical teams on MDM architecture blueprints, data mastering, and distribution requirements • Assist with 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 data mappings, analysis, documentation, and presentations communicating findings and recommendations to client teams and leadership

🎯 Requirements

• 5+ years of experience as a Data Analyst, Data Management Analyst, MDM Analyst, or similar role • Experience working directly within financial services or consulting for banking and financial services clients • Strong understanding of Master Data Management, preferably Customer or Party MDM • Hands-on experience with data definitions, metadata, data lineage, data mapping, and data quality analysis • Understanding of data ingestion, transformation, validation, and automated data quality processes • Experience defining data quality rules, controls, monitoring, and remediation processes • Understanding of entity resolution, matching, survivorship, and master record concepts • Familiarity with data governance frameworks and data stewardship workflows • Experience using AI-based techniques for data quality, entity resolution, record matching, or data disambiguation highly preferred • Effective communication with business and technical stakeholders; comfortable leading client interviews and collaborative working sessions • Ability to work effectively with mixed teams of client stakeholders, consultants, and subject matter experts • Track record of working successfully in a remote environment and managing responsibilities with limited day-to-day supervision • Experience with Jira and SharePoint preferred • Strong Excel skills and ability to analyze large and complex data sets • Strong PowerPoint, Word, and Visio skills • Comfortable creating detailed data flow diagrams and client documentation • Legally allowed to work in the United States • Comfortable working in a remote setting

🏖️ Benefits

• Competitive compensation • Benefits package • Possibility of some travel

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