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Senior Data Science Analytics Jobs in Wisconsin (NOW HIRING)

TIER4 GROUP

Senior Data Analyst

Milwaukee, WI · Hybrid

$84K - $106K/yr

Competitive Rates, Benefits, Free Daily Lunch When Onsite Role Summary This Sr. Data Analyst role involves serving as a data scientist supporting marketing efforts for our Fortune 500 client. The ...

Newance

Senior Data Scientist

Green Bay, WI · On-site

POSITION SUMMARY We are seeking a skilled and motivated Senior Data Scientist to join our dynamic ... add to the analytical tools available to the Data Science Team and the Data Intelligence ...

KOHLS

Data Scientist I (Remote)

Menomonee Falls, WI · On-site

Collaborate with senior data scientists to fine-tune, optimize and ensure the scalability of models ... complex data science or analytics experience Preferred * Master's degree * Retail experience

Generac

Data Science Analyst

Waukesha, WI

In the role of Data Science Analyst working onsite in Waukesha, Wisconsin you will be part of the ... The candidate must have familiarity with the manipulation of unstructured data in a data analytics ...

Fiserv, Inc.

Sr Data Scientist

Milwaukee, WI · On-site

Job Title Sr Data Scientist TITLE: Sr Data Scientist EMPLOYER: Fiserv Solutions, LLC LOCATION ... Bachelor's degree in Statistics, Data Science, Computer Science, Operations Research or a related ...

Sanford Health

Senior Data Modeler

Marshfield, WI · Remote

$40/hr

Union Position: No Department Details Summary The Senior Data Modeler is responsible for ... Familiarity with BI/analytics tools and data science needs. Sanford is an EEO/AA Employer M/F ...

Carroll University

Sr. Data Analyst

Waukesha, WI · On-site

$86K - $108K/yr

The Senior Data Analyst is a strategic and technical role within Information Technology responsible ... Bachelor's degree in Information Systems, Computer Science, Data Analytics, Business, Mathematics ...

Serve Robotics

$211K - $246K/yr

... Sr. Data/Analytics Engineers. * Data leadership experience: Proven experience managing data ... Bachelor's degree in computer science, data science, engineering, statistics, mathematics ...

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Senior Data Science Analytics information

What is the difference between Senior Data Science Analytics vs Data Analyst?

AspectSenior Data Science AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; often requires experience in machine learningBachelor's degree in Data, Statistics, or related fields; often entry-level or junior roles
Work EnvironmentAdvanced analytics, predictive modeling, machine learning projectsData cleaning, reporting, basic analysis
Employer & Industry UsageTech companies, finance, healthcare, consulting firmsRetail, marketing, small businesses, entry-level roles across industries

Senior Data Science Analytics professionals focus on complex modeling and predictive analytics, often requiring advanced skills and experience. Data Analysts typically handle data collection, cleaning, and basic reporting. While both roles work with data, Senior Data Science Analytics roles involve more technical expertise and strategic insights, making them suitable for experienced professionals in data-driven industries.

What are the most commonly searched types of Data Science Analytics jobs in Wisconsin? The most popular types of Data Science Analytics jobs in Wisconsin are:
What cities in Wisconsin are hiring for Senior Data Science Analytics jobs? Cities in Wisconsin with the most Senior Data Science Analytics job openings:
Senior Data Science Analytics jobs near you
Senior Data Analyst

Senior Data Analyst

TIER4 GROUP

Milwaukee, WI • Hybrid

$84K - $106K/yr

Full-time

Posted 8 days ago

Job description

Title: Sr Data Analyst

Location: Milwaukee, WI

Type: Hybrid (3 days onsite per week)

Duration: ASAP - May 2025

Perks: Competitive Rates, Benefits, Free Daily Lunch When Onsite


Role Summary

This Sr. Data Analyst role involves serving as a data scientist supporting marketing efforts for our Fortune 500 client. The role focuses on analyzing campaigns, understanding business processes, and distributing insights via dashboards. You will collect, validate, and deeply analyze data to uncover insights that drive marketing decisions, ensuring alignment with key objectives and results (OKRs). This is not a traditional BI role but one that requires critical thinking, asking the right questions, and leveraging data to move marketing initiatives forward.


Key Responsibilities

  • Develop and deliver user-friendly dashboards and reports to provide actionable insights and recommendations.
  • Perform data collection, QA checks, and in-depth analysis to understand and improve marketing campaigns and business processes.
  • Ask insightful questions to uncover underlying data trends and inform strategic marketing decisions.
  • Conduct campaign and business analysis, using data to identify opportunities and drive forward marketing objectives.
  • Partner with stakeholders to translate findings into meaningful strategies and plans.


Technical Skills and Requirements

  • Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI.
  • Strong data collection, quality assurance, and analytical skills to ensure accurate and reliable insights.
  • Proven experience conducting deep data dives to support decision-making.
  • Ability to grasp and analyze complex business processes and campaign performance.


Must-Haves

  • Expertise in research and data analysis with a proven track record of delivering actionable insights.
  • Ability to systematically gather, evaluate, and interpret data to uncover patterns and trends.
  • Strong communication skills to present findings effectively to stakeholders.
  • A results-driven mindset, with the ability to manage multiple priorities and meet deadlines.


Ideal Candidate Traits

  • A proactive approach to problem-solving, with curiosity and creativity to explore beyond routine tasks.
  • Experience in marketing-focused analysis, including campaign performance evaluation.
  • A collaborative and inclusive attitude, with a willingness to mentor and share insights with peers.


This role offers an exciting opportunity to blend data science with marketing strategy, driving impactful decisions and contributing to organizational success.