1

Refinitiv Refinitiv Jobs in Wisconsin (NOW HIRING)

Refinitiv Refinitiv information

What is the difference between Refinitiv Refinitiv vs Financial Data Analyst?

AspectRefinitivFinancial Data Analyst
Primary RoleProvides financial data, analytics, and market insights using Refinitiv platformsAnalyzes financial data to support investment decisions and reporting
Required SkillsData management, financial software proficiency, market knowledgeFinancial modeling, data analysis, Excel, reporting skills
Work EnvironmentFinancial services, data providers, market research firmsBanks, investment firms, asset management companies
CertificationsOften requires finance or data-related certificationsCFAs, financial modeling certifications often preferred

Refinitiv professionals focus on managing and delivering financial data and analytics platforms, while Financial Data Analysts interpret this data to inform investment decisions. Both roles require strong analytical skills, but Refinitiv roles emphasize platform expertise, whereas Financial Data Analysts focus on data interpretation and reporting.

What are popular job titles related to Refinitiv Refinitiv jobs in Wisconsin? For Refinitiv Refinitiv jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Refinitiv Refinitiv jobs in Wisconsin look for? The top searched job categories for Refinitiv Refinitiv jobs in Wisconsin are:
Infographic showing various Refinitiv Refinitiv job openings in Wisconsin as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 67% In-person, 8% Hybrid, and 25% Remote job distribution.

Lead Data Architect - Cloud & Analytics

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Re-posted 12 days ago


Job description

We're looking for a Lead Data Architect to design and evolve a modern cloud data platform supporting investment and analytics workflows. This role combines hands-on architecture with strategic leadership and is ideal for someone who has successfully led enterprise data modernization initiatives.You'll partner with business and technical teams to shape data strategy, guide platform decisions, and build scalable solutions that support critical decision-making. This is a highly visible role requiring both technical depth and the ability to influence stakeholders.What You'll DoArchitect scalable cloud data platforms for analytics and operational useDesign enterprise data models and data pipelinesLead modernization of legacy data environmentsEvaluate and integrate data vendors and platformsPartner with business stakeholders to translate requirements into technical architectureEstablish architecture standards, governance, and best practicesMentor engineers and elevate technical capabilities across teamsDrive adoption of modern data tools and frameworksRequired Qualifications8+ years of experience in data engineering, architecture, or platform engineeringStrong hands-on experience with Snowflake or similar cloud data platformExperience designing and implementing enterprise data architecturesProven track record leading modernization or transformation initiativesStrong communication skills and ability to explain technical concepts to non-technical stakeholdersExperience working with complex or high-volume data environmentsPreferred ExperienceExposure to financial, investment, or analytical data ecosystemsExperience integrating market or enterprise data vendors (FactSet, Bloomberg, Refinitiv, etc.)Familiarity with front office or operational analytics workflowsExperience with dbt, orchestration tools, or modern data stack frameworksVendor/platform evaluation or selection experienceBackground mentoring engineers or leading technical initiatives