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Associate Data Science Analyst Jobs in Michigan (NOW HIRING)

Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses * Mentor and train associate data scientists About you * 3 years of ...

Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses * Mentor and train associate data scientists About you * 3 years of ...

Profit Science: Analyze complex business problems in the distribution space and use mathematical ... Data Engineering & Navigation: Proficiency in SQL with proven experience extracting and ...

Profit Science: Analyze complex business problems in the distribution space and use mathematical ... Data Engineering & Navigation: Proficiency in SQL with proven experience extracting and ...

Data analysis and excel skills are a plus * Majors in computer science, data analysis, or related firld * Graduation of 2027 or later * Minimum 2.8 GPA What we can do for you * At Forvia, you will ...

Continuously research emerging data science, machine learning, and analytics technologies to enhance analytical capabilities and business outcomes. * Collaborate with cross-functional teams to ...

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Associate Data Science Analyst information

What is the difference between Associate Data Science Analyst vs Data Analyst?

AspectAssociate Data Science AnalystData Analyst
Required CredentialsBachelor's degree in data-related field; some roles prefer certifications in data analysis or programmingBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel or SQL are common
Work EnvironmentCollaborates with data scientists and engineers; involved in data modeling and analysis tasksFocuses on data collection, cleaning, and reporting; often works with business teams
Employer & Industry UsageUsed in tech, finance, healthcare industries; entry-level role in data teamsWidely used across industries for business insights and reporting

The Associate Data Science Analyst and Data Analyst roles share similarities in educational background and industry usage. However, the Associate Data Science Analyst typically involves more technical tasks like data modeling and working closely with data science teams, whereas Data Analysts focus more on data reporting and business insights. Both roles serve as entry points into data careers but differ in technical depth and collaboration scope.

What types of projects and datasets do Associate Data Science Analysts typically work with, and how do they contribute to larger team goals?

Associate Data Science Analysts often work on projects involving data cleaning, exploratory analysis, and basic model development using real-world datasets such as sales figures, customer behavior logs, or operational metrics. Their primary responsibility is to prepare, analyze, and visualize data to uncover insights that support business decisions. They collaborate closely with more senior data scientists, business analysts, and stakeholders to ensure that their analyses align with organizational objectives. This role provides valuable exposure to the end-to-end data science workflow and lays the foundation for advancement into more specialized or senior data science positions.

What are the key skills and qualifications needed to thrive as an Associate Data Science Analyst, and why are they important?

To thrive as an Associate Data Science Analyst, you need a solid grounding in statistics, data analysis, and programming languages such as Python or R, typically supported by a degree in a quantitative field. Familiarity with data visualization tools like Tableau, SQL databases, and potentially foundational certifications in data analytics are commonly required. Strong problem-solving, critical thinking, and effective communication skills help analysts interpret data insights and convey findings to stakeholders. These competencies are crucial for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

What does an Associate Data Science Analyst do?

An Associate Data Science Analyst is an entry-level professional who assists in collecting, analyzing, and interpreting data to help organizations make data-driven decisions. They work closely with senior data scientists and analysts, using statistical tools and programming languages like Python or R to process data, create reports, and visualize results. Their responsibilities often include cleaning and organizing data sets, performing exploratory data analysis, and supporting the development of predictive models. This role is a great way to gain hands-on experience in data science while building foundational skills for more advanced positions.
What cities in Michigan are hiring for Associate Data Science Analyst jobs? Cities in Michigan with the most Associate Data Science Analyst job openings:

Sr. Data Science and Analytics Analyst

Publicis Groupe Holdings B.V

Birmingham, MI • On-site

$82K - $103K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted yesterday


Job description

Company Description
Hi there! We're Razorfish. We've been leading the marketing industry with our digital expertise since the start of the internet. But in 2020, we did a full reboot. What's different? It all starts with people. Weird, wonderful, complex people - with diverse backgrounds in strategy, creative and technology. But no matter how different we are, we all have one thing in common. We believe our differences are our strength. So we push for inclusion, challenge convention and bring in new perspectives, to inspire new ideas. Because when we connect by understanding what makes people different, we can create unforgettable experiences that enrich lives. Join us at razorfish.com.
Overview
Razorfish is looking for a Senior Associate to join its Data Science and Analytics practice. This is an analytics, research, and consulting team that delivers data-driven insights to our clients. Each member of the team is aligned to one or more clients and works closely with other Data Science team members, our clients, and colleagues across other disciplines such as: Client Management, Strategy, Search, Social, Media, User Experience, and Technology.
In this role you will contribute to data-driven projects across one or more client accounts. You will have support from data leadership and fellow analysts.
Core areas of focus for this group include applications in measurement planning and strategy, customer segmentations, testing frameworks, measurement and optimization solutions, performance reporting and analyses, personalization, and forecasting.
Responsibilities
  • Be the lead data analyst for internal and external client project work
  • Be the subject matter expert (SME) in source tools, platforms, and data flow
  • Understands Razorfish data capabilities and how data fits into a client's overall strategy
  • Understands the breadth of data services and crafts
  • Owns elements of the data process such as syntax and taxonomy management and QA
  • Able to manage data team responsibilities within cross-capability projects
  • Participates and presents within larger presentations to clients
  • Translates data into visuals (charts and graphs) that demonstrate the finding

Qualifications
Data Strategy
  • Able to identify / focus on key issues and objectives based on internal and client needs with oversight
  • Effectively describes outputs and approach of analysis to internal audiences and clients

Communication Skills
  • Is an active listener and thoughtful communicator within internal and client discussions
  • Raises questions based on data trends and patterns, explores hypothesis on causation
  • Has ownership of own materials and able to answer questions logically and appropriately
  • Participates appropriately in meetings, developing confidence in offering ideas and suggestions
  • Begins to play leadership role in team discussions and is more comfortable voicing alternatives appropriately (supported with facts)
  • Able to independently create sections of client documents with guidance in addition to leveraging pre-existing templates
  • Takes comprehensive meeting notes with clear next steps for individual owners
  • Shows ability to transform data into visually appealing presentations and able to adapt new formats as necessary

Client Engagement
  • Client Partnerships
    • Contributes to meetings with internal and external clients
    • Able to prioritize work to meet internal and external client deliverables
  • Relationship Management
  • Can identify when a request should be completed by the data team
  • Understands how to document client feedback and recognizes when to escalate issues
  • Questions and output reflect basic knowledge of client's business - financials, industry economics, competitive dynamics, marketing channels and client strategic issues

Tools & Techniques
  • Shows mastery of client-specific data tools and platforms for reporting purposes
  • Has advanced Excel skills with experience in manipulating and organizing large data sets
  • Has deeper knowledge of statistical concepts / coding languages for advanced analytics capabilities
  • Able to assist in vendor assessments
  • Proactively identifies own learning gaps and seeks to answer them through internal resources or asking experts
  • Comfortable working within BI/Visualization tools
  • Able to QA and maintain data integrity at collection, extraction, and activation point

Analytics
  • Planning and Implementation
    • Able to own sections of learning agenda / measurement plan
    • Able to seamlessly implement a measurement program with minimal guidance
    • Able to start and end a reporting deliverable with minimal guidance
  • Insight Generation
    • Able to understand the best path to extract, cleanse, manipulate, and analyze data
    • Demonstrates ability to synthesize implications ("so whats?") from analysis with minimal guidance
    • Uses these insights to provide hypotheses and useful recommendations to the team

Additional Information
The Power of One starts with our people! To do powerful things, we offer powerful resources. Our best-in-class wellness and benefits offerings include:
  • Paid Family Care for parents and caregivers for 12 weeks or more
  • Monetary assistance and support for Adoption, Surrogacy and Fertility
  • Monetary assistance and support for pet adoption
  • Employee Assistance Programs and Health/Wellness/Comfort reimbursements to help you invest in your future and work/life balance
  • Tuition Assistance
  • Paid time off that includes Flexible Time off Vacation, Annual Sick Days, Volunteer Days, Holiday and Identity days, and more
  • Matching Gifts programs
  • Flexible working arrangements
  • 'Work Your World' Program encouraging employees to work from anywhere Publicis Groupe has an office for up to 6 weeks a year (based upon eligibility)
  • Business Resource Groups that support multiple affinities and alliances

The benefits offerings listed are available to eligible U.S. Based employees, are reviewed on an annual basis, and are governed by the terms of the applicable plan documents.
Razorfish is an Equal Opportunity Employer. Our employment decisions are made without regard to actual or perceived race, color, ethnicity, religion, creed, sex, sexual orientation, gender, gender identity, gender expression, pregnancy, childbirth and related medical conditions, national origin, ancestry, citizenship status, age, disability, medical condition as defined by applicable state law, genetic information, marital status, military service and veteran status, or any other characteristic protected by applicable federal, state or local laws and ordinances.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines.
Compensation Range: $72,390 - $95,200. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/15/25.
Compensation Range: USD $72,390.00 - USD $95,200.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 11/11/2025.