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Data Classification Associate Jobs in Illinois (NOW HIRING)

Define and enforce data access controls, data classification, and data retention policies in line ... Data Analyst Associate or Microsoft Certified: Power BI Certified is preferred.

Associate's degree or equivalent required; bachelor's degree preferred. * Project Management ... Exposure to data discovery or classification tools (e.g., DSPM solutions) preferred. * Familiarity ...

Data Entry Associate We are seeking entry level graduates interested in administrative work for 4 ... Eligibility requirements apply to some benefits and may depend on your job classification and ...

Data Entry Associate We are seeking entry level graduates interested in administrative work for 4 ... Eligibility requirements apply to some benefits and may depend on your job classification and ...

Supply Chain Data Scientist

Chicago, IL ยท Hybrid

$63K - $93K/yr

... classification * Advance analytics maturity and strengthen a datadriven culture across the ... Willingness to travel 20-30 percent Number of Days in Office: 3 #LI-Hybrid #LI-PM2 #LI-Associate ...

... classification to ensure end-to-end governance visibility * Align data model lifecycle management ... Microsoft Certified: Fabric Data Engineer Associate (DP-700) * Microsoft Certified: Fabric ...

... classification to ensure end-to-end governance visibility * Align data model lifecycle management ... Microsoft Certified: Fabric Data Engineer Associate (DP-700) * Microsoft Certified: Fabric ...

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Data Classification Associate information

What are the key skills and qualifications needed to thrive as a Data Classification Associate, and why are they important?

To thrive as a Data Classification Associate, you need strong analytical skills, attention to detail, and a foundational understanding of data privacy and security principles, often supported by a relevant degree or certification. Familiarity with data management systems, classification software, and tools like Microsoft Excel or SQL is typically required. Excellent organizational skills, effective communication, and the ability to work independently under deadlines are valuable soft skills in this role. These skills ensure accurate data categorization, compliance with regulations, and efficient information management within an organization.

How do Data Classification Associates typically collaborate with data engineers and analysts within an organization?

Data Classification Associates frequently work alongside data engineers and analysts to ensure that data is accurately categorized and labeled for downstream processes. They often communicate classification standards, resolve ambiguities in data sets, and provide feedback on data quality issues. This collaboration helps maintain compliance with internal policies and external regulations, and supports efficient data retrieval and analysis. Regular meetings and shared documentation are common practices to align on classification criteria and address any emerging challenges.

What does a Data Classification Associate do?

A Data Classification Associate is responsible for organizing and categorizing data based on its sensitivity, value, and regulatory requirements. They review data sets, apply classification labels, and ensure that information is handled according to company policies and legal standards. This role is essential for protecting sensitive information, supporting data security, and facilitating efficient data management within an organization.

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

AspectData Classification AssociateData Analyst
Required CredentialsHigh school diploma or equivalent; certifications like CDMP beneficialBachelor's degree in data science, statistics, or related field
Work EnvironmentData management teams, corporate offices, data centersBusiness units, analytics teams, corporate offices
Employer & Industry UsageUsed across industries for data governance rolesUsed in various industries for data analysis and reporting

The Data Classification Associate primarily focuses on organizing and categorizing data to ensure proper data governance, while the Data Analyst interprets data to generate insights and support decision-making. Both roles require familiarity with data management, but their core responsibilities differ significantly.

What are the most commonly searched types of Data Classification jobs in Illinois? The most popular types of Data Classification jobs in Illinois are:
What cities in Illinois are hiring for Data Classification Associate jobs? Cities in Illinois with the most Data Classification Associate job openings:

Associate Director, Data Science

Publicis Groupe Holdings B.V

Chicago, IL โ€ข On-site

$60.80K - $61.30K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

Company Description

Publicis Media harnesses the power of modern media through global agency brands Publicis Collective, Spark Foundry, Starcom and Zenith. A key business solution of Publicis Groupe, Publicis Media's digital-first, data-driven global practices deliver client value and drive growth in a platform-powered world. It is present in more than sixty countries with over 23,000 employees worldwide.

Overview

What does Platform Data Sciences do?ย 

Working closely with both the Planning and Analytics teams, Data Sciences designs and implements statistical models and machine learning solutions that tie our clients' marketing to real-world business goals. We use these models to understand past performance, predict future performance, and inform and optimize future decisions. Our work brings our clients closer to their marketing, helping them understand if they are talking to the right people in the right way.

What does a successful Associate Director of Data Science look like?

We don't all look the same, and we don't expect you to, either. But successful members of our team generally have a passion for emerging tech and media, bring a data-driven approach to decision-making, have a fresh perspective and share it in a positive way, don't shy away from a challenge, and are always hungry to learn more.

Among Associate Director candidates, we look for prior experience in analytics, especially digital media and customer audiences segmentation/modeling. You should be seasoned at representing your team to external clients and internal leadership. We hope you have a love for numbers and know how to bring data to life through a compelling story. We're also hoping you have at least 4 years of prior professional experience.

Responsibilities

You will work very closely with planning, audience strategy and analytics teams to help them solve marketing problems. They also contribute crucial intellectual capital to the data science team by sharing knowledge and designing models and Data Science solutions based on their clients' business needs and using data to tell great stories. An AD will also help formulate a vision for their accounts and bring that vision to life. As such, an AD is a mentor, manager, project manager, and thought leader, all at the same time. Day-to-day responsibilities include:

  • Design, estimate, tune, score and maintain advanced statistical and mathematical models (e.g. classification, numeric forecasts, customer segmentation, customer propensity, attribution, etc.).
  • Produce accurate statistical analysis and ensure high quality of the data analysis produced.
  • Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations.
  • Take analytical objectives and define data requirements. Extract, clean, and transform both customer level, and aggregated data for analysis, modelling, segmentation and reporting.
Qualifications
  • 4+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives
  • Experience with customer level data within audience models
  • Bachelor's degree in a STEM or other related field, or equivalent work experience.
  • Strong knowledge of Relational Databases and SQL programming.
  • Highly proficient in at least one popular programming language used for Machine Learning, such as Python or R.
  • Solid understanding of mathematical modeling, probability and statistics, and the design and simulation of stochastic systems.
  • Familiarity with the mathematics behind important statistical learning algorithms such as ARIMA, Linear Regression, Logistic Regression, Centroid-based and Hierarchical Clustering, Principal Component Analysis (PCA), Decision Trees/Random Forest, Bayesian Inference, Markov Chain Monte-Carlo (MCMC).
  • Familiarity with common advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA)
  • Familiarity with the capabilities and mechanics of a broad range of advertising media channels
  • Familiarity with the capabilities and mechanics of a broad range of marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research.
  • Strong communication skills. Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups.

ย Preferred Experience

  • Knowledge of other Machine Learning techniques such as Natural Language Processing (NLP) and text mining, and Neural Networks is a plus.
Additional Information

Our Publicis Groupe motto "Viva La Difference" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.ย 

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive.ย  Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact USMSTACompliance@publicis.com.ย  All your information will be kept confidential according to EEO guidelines.ย 

Compensation Range: $87,210 - $137,195 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 6/1/26.

#LI-SM5

Employment Type: FULL_TIME