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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
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
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:
Salesforce
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Sr. Analysts, Consulting Services for various and unanticipated worksites throughout the U.S. (HQ: Chicago, IL). Diagnose business needs of clients by ingesting data into systems. Translate business needs into data-driven questions and architect solutions to collect and analyze data from multiple sources. Partner closely with clients to validate and identify trends, patterns, opportunities, issues, and best practices using appropriate data. Translate analytics into stakeholders’ native language. Work with cross-functional teams to build and deliver client-focused measurements and reporting practices. Help develop project scope, project plans, and risk mitigation strategies. Technical environment: SQL Query; data visualization; customer-facing analytics experience; digital marketing; randomized controlled trials in marketing; Tableau (creating, managing, and interpreting dashboards in marketing/sales contexts); A/B testing in marketing; regression model choice (binary, time-to-event data, repeated measures, clustered model); regression analysis (linear, logistic, multivariate); covariate adjustment; BigQuery; extract/transform complex marketing/sales data from multiple sources; database management; marketing performance metrics (ROAS, CTR, CAC).Job Requirement:
*Master’s degree in Analytics, Data Science, Computer Science, or related field required. Required skills (can be gained through education or experience): SQL Query; data visualization; customer-facing analytics experience; digital marketing; randomized controlled trials in marketing; Tableau (creating, managing, and interpreting dashboards in marketing/sales contexts); A/B testing in marketing; regression model choice (binary, time-to-event data, repeated measures, clustered model); regression analysis (linear, logistic, multivariate); covariate adjustment; BigQuery; extract/transform complex marketing/sales data from multiple sources; database management; marketing performance metrics (ROAS, CTR, CAC). 100% telecommuting permitted. (*Bachelor’s degree in Analytics, Data Science, Computer Science, or related field plus 2 years of experience in marketing analytics also acceptable).
$93,974/yr-$107,444/yr
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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.
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