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Overnight Quantitative Data Analyst Jobs in Wisconsin

Husch Blackwell Llp

Enterprise Data Analyst

Madison, WI · On-site +1

... of quantitative information and have a passion for high impact data storytelling. Essential ... Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns ...

Husch Blackwell LLP

Enterprise Data Analyst

Madison, WI · On-site +1

... of quantitative information and have a passion for high impact data storytelling. Essential ... Analyze large, complex datasets from client and internal Firm sources to identify trends, patterns ...

Jobtailor

WI · On-site

$80 - $120/hr

... quantitative analysis and qualitative storytelling * Proactively conduct analyses and ... Implement data quality tests, monitoring, and validation (e.g. dbt tests, Monte Carlo) to ensure ...

United States Digital Space LLC

WI · On-site

$120 - $190/hr

This is a highly quantitative role for someone with exceptional numerical intuition, rigorous ... analytical infrastructure. Create data models, pipelines, and automated systems that are reliable ...

Posted today

Yuso Bv

WI · On-site

$81 - $110/hr

To support our strong growth, we are currently looking for a Quantitative Analyst. YUSO is looking ... Experience in statistical or mathematical modelling and data analysis. * Experience with Python is ...

Imedica

Pharmacy Analyst III

Madison, WI

$78K - $134K/yr

We're a team that owns our work with accountability, makes data-driven decisions, embraces ... The analyst will provide Insight and recommendations using quantitative analysis and/or statistical ...

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Overnight Quantitative Data Analyst information

What is the difference between Overnight Quantitative Data Analyst vs Quantitative Data Analyst?

AspectOvernight Quantitative Data AnalystQuantitative Data Analyst
Work HoursPrimarily overnight shiftsStandard daytime hours
Work EnvironmentFinancial firms, trading floors, or data centersOffices, research labs, or corporate settings
Required SkillsStrong quantitative skills, familiarity with overnight market activitiesAdvanced statistical and analytical skills
CertificationsOften requires finance or data certificationsSimilar certifications, depending on industry

Overnight Quantitative Data Analysts focus on analyzing data during overnight shifts, often related to global markets or overnight data processing, while Quantitative Data Analysts work during regular hours across various industries. Both roles require strong analytical skills and relevant certifications, but their work hours and environments differ significantly.

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Overnight Quantitative Data Analyst jobs near you

Senior Data Analyst

Germantown, WI • On-site

Continuus Technologies LLC
IT Services • 11 - 50 employees
Learn more about Continuus Technologies LLCexternal

$87K - $110K/yr

Full-time

Re-posted 20 days ago

Job description

Role OverviewThe Senior Data Analyst is a trusted analytical partner who leads complex analyses, develops insights that influence decision-making, and mentors junior analysts. This role bridges data and business strategy by translating questions into actionable insights and establishing analytical best practices.Key ResponsibilitiesLead complex analyses to support strategic and operational decisionsDevelop and maintain dashboards, reports, and analytical modelsIdentify trends, risks, and opportunities using quantitative and qualitative dataDefine and standardize KPIs, metrics, and reporting frameworksPartner with business leaders to frame problems and recommend solutionsReview and improve analytical work for accuracy and clarityMentor junior analysts and support skill developmentImprove data quality, documentation, and analytical processesQualificationsBachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)5+ years of experience in analytics or data-focused rolesAdvanced SQL and strong proficiency in Excel or similar toolsExperience with BI and data visualization platforms (Tableau, Power BI, Looker, etc.)Strong analytical reasoning and problem-solving skillsAbility to clearly communicate insights to technical and non-technical audiencesPreferred ExperienceExperience with Python or R for analysisKnowledge of statistical methods and experimentationFamiliarity with data modeling or data engineering conceptsDomain expertise (e.g., finance, HR, operations, product analytics)

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