Technical Business Analyst (Hybrid) || Dallas, TX - 3 Days a Week (Need Local Candidate)

Hybrid in Dallas, TX, US • Posted 12 hours ago • Updated 12 hours ago
Contract Corp To Corp
Contract W2
Contract Independent
6 Months
No Travel Required
Hybrid
Depends on Experience
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Job Details

Skills

  • Business analyst
  • Azure data
  • Finance
  • Bank
  • Data Warehouse

Summary

Hi,

Hope you are doing well,

Please find the job description below and let me know your interest.

 

Job Title: Technical Business Analyst with Financial Exp (Hybrid)

Location: Dallas, TX  - 3 Days a Week (Need Local Candidate)

Duration: 6+ Months

 

Job Description:

Requirement Notes (Candidate Job description below) :

  • We need a Technical Business Analyst (10+ years) who has extensive Azure Data and Data Warehouse experience who is more of a data modeler/architect with expertise in financial services.
  • CANDIDATES MUST BE SENIOR BUSINESS ANALYSTS WITH EXCELLENT COMMUNICATION SKILLS AND RECENT EXPERIENCE SUPPORTING AZURE DATA/DATA WAREHOUSE PROJECTS IN A FINANCIAL SERVICES, BANKING OR CAPITAL MARKETS ENTERPRISE.  
  • CANDIDATES MUST HAVE RECENT FINANCIAL EXPERIENCE AND THE CLIENT WOULD LIKE TO SEE CERTIFICATIONS AS WELL.

Primary Skills (Must-Have)

  • Finance Domain Knowledge: Financial data structures, KPIs, reporting needs, reconciliation concepts, and data accuracy/compliance expectations.
  • Data Modeling & Analysis: Strong capability in dimensional/logical modeling, data profiling, data quality analysis, and translating business logic into data structures.
  • Expert SQL: Advanced SQL for extraction, transformation/validation, performance tuning, and supporting analytics/reporting use cases.
  • Azure (Preferred):
    • Azure SQL Database/SQL Server
    • Azure Data Factory (ADF)
    • Azure Databricks 

Technical Business Analyst - Looking for more of a data modeler/architect with expertise in financial services.
Primary Skills (Must-Have)

  • Finance Domain Knowledge: Financial data structures, KPIs, reporting needs, reconciliation concepts, and data accuracy/compliance expectations.
  • Data Modeling & Analysis: Strong capability in dimensional/logical modeling, data profiling, data quality analysis, and translating business logic into data structures.
  • Expert SQL: Advanced SQL for extraction, transformation/validation, performance tuning, and supporting analytics/reporting use cases.

Core Technical Requirements

  • Data Warehouse Expertise: Data architecture, ingestion/integration patterns, governance, lineage, and warehouse best practices.
  • Semantic Layer Design (Critical): Experience defining and managing a semantic layer for enterprise reporting and AI, including:
    • Business definitions/metric logic, conformed dimensions, hierarchies
    • Star schema alignment, calculated measures, reusable datasets
    • Consistency across Power BI/Tableau and downstream AI/ML consumers
  • Azure (Preferred):
    • Azure SQL Database/SQL Server
    • Azure Data Factory (ADF)
    • Azure Databricks
  • ETL/ELT & BI Tools: Familiarity with orchestration tools and exposure to Power BI and/or Tableau (semantic models/datasets).

Key Responsibilities

  • Requirements & Metric Definition: Gather/reporting & AI requirements; define KPIs, business rules, and data contracts; translate into technical specs for warehouse + semantic layer.
  • Data Analysis & Validation: Profile data, identify gaps, perform reconciliation and data quality checks; ensure finance metrics are correct and auditable.
  • Data Modeling: Design/maintain logical and dimensional models to support reporting and AI feature readiness.
  • Semantic Layer Delivery: Partner with BI/engineering to implement governed semantic models (definitions, measures, hierarchies, security assumptions as needed).
  • Collaboration with Data Engineers: Ensure pipelines/ETL align with modeling and semantic requirements; support schema optimization and efficient query patterns.
  • Documentation: Maintain requirements, mappings, metric definitions, data dictionaries, and semantic layer specifications.
  • Continuous Improvement: Recommend best practices/tools to improve scalability, reuse, and consistency across reporting and AI.

Soft Skills

  • Strong stakeholder management; able to translate business needs into technical deliverables.
  • High attention to detail, strong prioritization, and ability to work independently in a fast-paced environment.

If you are interested, please share your updated resume and suggest the best number & time to connect with you

Thanks & Regards


US IT RECRUITER, DMS VISIONS INC

Ext-104 |  

LinkedIn: 

 

 

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91133942
  • Position Id: 2839-35330-
  • Posted 12 hours ago

Company Info

About DMS Vision Inc.

At DMS Vision, our main goal is to be an integral part of our customer’s success. With ambition to be a Global Premier Provider of innovative, value-based technology solutions, our team has the drive and determination to do whatever it takes to meet the needs of our clients. Through our services, we strive to save our client’s money, time and hassle in every way possible.

At DMS Vision, we provide IT Staffing, Software Development, Cybersecurity and IoT Development and Services.

Whenever we take on a new project, we take extensive measures to learn all that we can take care about our client’s business. This allows us to better understand their goals and become familiar with the company’s philosophy.

We combine the insights obtained from this unique perspective with our professional strategic processes to develop a detailed plan for achieving the client’s ultimate vision of accomplishment. Our collaborative approach to problem solving and our technological expertise enables us to tackle even the most complex of our customer’s problems.

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