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Swish Analytics is a sports analytics, betting and fantasy startup building the next generation of predictive sports analytics data products. Swish Analytics is an Equal Opportunity Employer.
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General Summary: The Manager, Commercial Risk Analytics provides risk analytics and reporting related to the Dealer Finance, Commercial Vehicle Finance and Mobility portfolios. Description Who We Are: Through our service brands Hyundai Motor Finance, Genesis Finance*, and Kia Motors Finance, we provide financial products tailored to meet the needs of Hyundai, Genesis, and Kia dealerships nationwide, including dealer inventory and facility financing.
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Participate actively in establishing best practices for Omni Channel analytics initiatives spearheaded by the Center of Excellence (COE) Delivers Omnichannel optimization recommendations using insights and analytics in partnership with Research, Digital Strategy, and/or Brand Analytics.
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Conduct data management maturity assessments and identify pain points for including data quality, governance, architecture, analytics, metadata management, master data management. Our Data and Analytics consultants work with clients at all levels of the organization, from the C-suite to the shop floor, helping them to deliver on their most strategic initiatives.
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Digital Analytics, Data Analytics, SQL, Google Analytics, Tableau, Looker, Domo, Management, Campaign Analysis, Web Analytics, Marketing Analytics, A/B Testing, A/B Test, Media analytics, Media analyst, Paid media, Advertising, Power BI, Tableau, Excel.
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Preferred Qualifications If we had our say, we’d also look for: 6 + years of experience in a People Analytics/Data Science role Master’s degree in industrial/organizational psychology , Data Analytics, or Statistics 3 + years of experience as People Analytics Insights partner, consulting background is a plus.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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5+ years experience leading, managing and delivering Oracle cloud-based data and analytics technology engagements end-to-end with resources in multiple locations. 6+ years experience with relevant technology consulting experience to include: enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management.
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Design and modernize large scale data and analytics programs that promote organizational intelligence, provide embedded capacity, and implement as-a-service based subscription models at scale. Mature their AI and Analytics journey with fluid capacity and flexible capability of AI and Analytics experts complemented with experience hardened assets and curated data sets to experiment with AI and scale their AI and Analytics ambitions.
$137,700 - $229,500 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Oracle Fusion Analytics (FAW), Oracle Analytics Cloud (OAC), Proficiency with OCI-Data Science, Oracle Data Integrator (ODI) and Oracle Integration Cloud (OIC) strongly preferred. Experience with Microsoft Azure, Amazon Web Service (AWS) and/or Google Cloud Platform (GCP.
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The Program Director is responsible for leading the health systems efforts to research, evaluate and advance progress toward workforce diversification, federal EEO compliance, inclusive work and patient care environments, and compliance driven health equity requirements through quantitative and qualitative metrics.
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Working knowledge of SQL, Tableau, HTML, CSS, JavaScript, Google Analytics, Cognos, and MS applications. Job Summary:Reporting to the Vice President and Dean of Enrollment, the Director of Enrollment Analytics is a member of the University Enrollment senior management team and understands admissions and financial aid strategies for undergraduate students and how to harness data and analytics to shape, influence, and model enrollment.
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Proficient in analytics and visualization platforms (Funnel.io, Looker Studio, Power BI, Tableau) and experienced with advertising networks (LinkedIn, Meta, programmatic networks) and their APIs. Advanced knowledge of statistical analysis, machine learning algorithms, and predictive modeling techniques.
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The individual is expected to develop quantitative analytics and perform financial modeling, as well as the ongoing business support for all analytics requirements from the BAM Insurance Solution team.
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Position SummaryIn this role, you will support the Director to frame business opportunities, financial analysis, structure complex analytics, and develop insights, recommendations, and presentations for the Merchandising leadership team.
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analytics job Company: Genesis Research
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