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Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
Manage and grow financial-services client accounts: collaborate with Client Executive and product teams, update Salesforce, support product implementation, communicate with users, identify upsell/cross-sell opportunities, gather user feedback, and ensure accurate account information and reporting.
Top Skills:
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Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
The Client Value Executive manages relationships with clients, aiming to retain revenue and develop business opportunities through consultative sales and collaboration with internal teams.
Top Skills:
ExcelPowerPointSalesforceTeamsWordZoom
Big Data • Fintech • Information Technology • Business Intelligence • Financial Services • Cybersecurity • Big Data Analytics
This role involves managing enterprise sales in marketing solutions for media and entertainment sectors, focusing on data-driven marketing and analytics.
Top Skills:
AnalyticsAudience DataData-Driven MarketingDevice/Identity GraphsIdentity ManagementIdentity Resolution
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Job DescriptionManagers for various and unanticipated worksites throughout the US (HQ: Chicago, IL). Manage analytical service operations for mortgage and tenant screening businesses by overseeing a team of data scientist consultants. Design and develop software to mine large datasets and develop predictive scoring models. Predict risk and marketing outcomes by developing statistical models, including decision trees and scorecards. Generate insights using data query software such as SQL and Tableau. Recommend policy and account changes to customers in response to predicted changes in market and economic environments. Develop and deploy software for compiling licensed residential housing data and use compiled data to create derivative products. Provide training and mentorship to direct reports. Technical Environment: SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access, Tableau, Spotfire, Knime, Alteryx, Regression Analysis, Classification, Decision Trees.
Job Requirements
*Master’s degree in Computer Science, Management Information Systems, Business Analytics, or a related field plus 2 years of experience in the job offered, as a Consultant, or in Statistical Data Modeling required. Required skills: SQL, R, SAS, Python (Scipy, pandas, numpy, Ipython), Microsoft SQL Server, Microsoft Access, Tableau, Spotfire, Knime, Alteryx, Regression Analysis, Classification, Decision Trees. Telecommuting permitted. (*Bachelor’s degree in Computer Science, Management Information Systems, Business Analytics, or a related field plus 5 years of progressive experience in the job offered, as a Consultant, or in Statistical Data Modeling also acceptable).
Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act.
Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company’s reputation are also essential expectations of this position.
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
