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Data Classification Associate Jobs in New York (NOW HIRING)

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Data Classification Associate information

What does a data associate do?

A data classification associate is responsible for organizing, categorizing, and maintaining data to ensure accuracy and security. They often use data management tools and follow established protocols to label and sort data, supporting data analysis and compliance efforts.

What jobs in the US pay $300,000 a year?

For a Data Classification Associate, earning $300,000 annually is uncommon, as this role typically offers lower compensation. High-paying jobs in the US that reach or exceed this level are usually executive positions such as Chief Data Officer, Chief Technology Officer, or senior roles in investment banking, law, or specialized medical fields, often requiring extensive experience, advanced skills, and certifications.

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.

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.

Is 40 too late for data science?

The Data Classification Associate role typically requires foundational skills in data handling and classification, which can be developed at any age. Age is not a barrier to entering data science or related fields, and many professionals successfully transition into data roles later in their careers by gaining relevant certifications and skills.

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.

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 are the 4 types of data classification?

Data classification typically includes four main types: public, internal, confidential, and restricted. These categories help organizations manage data security and access controls, which are important skills for a Data Classification Associate to understand and implement effectively.
What are the most commonly searched types of Data Classification jobs in New York? The most popular types of Data Classification jobs in New York are:
What cities in New York are hiring for Data Classification Associate jobs? Cities in New York with the most Data Classification Associate job openings:

$112K - $148K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Company Description

Zenith is one of Publicis Groupe's largest media agencies, spanning 95 markets globally with US offices in New York, Burbank, Chicago, Atlanta and Detroit. For more than 30 years, we have been at the forefront of media, helping to evolve and reshape the industry. We are highly regarded as a true agency partner by many high-profile brands for our expertise across numerous categories and wide range of capabilities that are unparalleled in the industry. Clients hire us for our track record of excellence in strategic planning, investment, and measurement. We also have specialist offerings, including content, commerce, multicultural and future-proofed data capabilities.

Job Description

The Associate Director of Data Science Audience Soluions leads the process of analyzing business problems and developing data-driven solutions. This includes understanding business needs, guiding team members in writing SQL code to gather data, building machine learning models (like XgBoost, Random Forest, K-Means clustering, etc), analyzing results, and presenting findings to leadership. This role involves both managing a team and doing hands-on coding, model builds and analysis. This highly motivated, detail-oriented individual manages data science processes, and collaborates with cross-functional teams to deliver on client objectives. 

Responsibilities
  • Manage and guide team members in their work. 
  • Develop complex SQL code to gather data from large datasets. 
  • Build advanced ML models (Classification, Continuous, Clustering etc) to help run optimized media campaigns 
  • Perform deep-dive analyses to analyze trends in data and generate insights 
  • Provide summarized, concise and clear findings and recommendations regularly to leadership 
  • Work collaboratively with other team members on projects 
Qualifications
  • Experience in managing data science teams 
  • 6+ years of experience preferred in Data Science 
  • Proficiency in SQL, Python, and PySpark 
  • B.A. or B.S., preferably in Marketing, Advertising, Computer Science, Mathematics, Engineering or Data Science 
  • Background in digital media preferred but not required 
  • Self-starter who is quick to learn and eager to contribute 
  • Experience managing multiple, competing priorities, duties and/or projects 
  • Excellent interpersonal, verbal, written communication, and presentation skills 
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.

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.  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 USMTTACompliance@publicis.com. 

All your information will be kept confidential according to EEO guidelines.

Veterans Encouraged to Apply.

 Compensation Range: USD $112,290.00 - USD $148,000.00/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 7/13/2026.Employment Type: FULL_TIME