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Data Classification Associate Jobs in New York (NOW HIRING)

(USA) Data Analyst II

Levittown, NY · On-site

$84K - $156K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

(USA) Data Analyst II

Freeport, NY · On-site

$84K - $156K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

(USA) Data Analyst II

Bayonne, NJ · On-site

$84K - $156K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

(USA) Data Analyst II

Paterson, NJ · On-site

$84K - $156K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

(USA) Data Analyst II

White Plains, NY · On-site

$84K - $156K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

(USA) Data Analyst II

West New York, NJ · On-site

$84K - $156K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

(USA) Data Analyst II

Valley Stream, NY · On-site

$84K - $156K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

(USA) Data Analyst II

Staten Island, NY · On-site

$84K - $156K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

(USA) Data Analyst II

Kearny, NJ · On-site

$84K - $156K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

(USA) Data Analyst II

Hoboken, NJ · On-site

$84K - $156K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

(USA) Data Analyst II

East Meadow, NY · On-site

$84K - $156K/yr

The amount you receive depends on your job classification and length of employment. It will meet or ... part-time associates in Walmart and Sam's Club facilities. Programs range from high school ...

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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:
Data Owner Senior Associate - Banking Payments

Data Owner Senior Associate - Banking Payments

J.P. Morgan

New York, NY

$94K - $118K/yr

Full-time

Medical, Retirement

Posted 7 days ago

New


Job description

hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.

JOB DESCRIPTION

Join us and help shape the future of data-driven innovation in Banking Payments. As a Data Owner Senior Associate, you'll play a key role in enabling faster business innovation, ensuring data quality, and protecting critical information. This is your opportunity to collaborate with talented colleagues, grow your career, and make a real impact.

As a Data Owner Senior Associate within the Banking Payments Team, you are accountable for all data in the Payments product that is created, provisioned, or consumed to support business objectives, advanced analytics, operations, and reporting. You will collaborate as a member of the QUAD, working closely with Product Owners, design leads, and technology leads to deliver data that meets quality and safety requirements. You'll build strong relationships across the business and help drive the firm's agenda for data excellence.

You will support the Data & Analytics lead for your product, ensuring data is integrated into analytics platforms and meets business needs. Your work will involve designing and developing data models, optimizing database structures, and maintaining comprehensive documentation. This role offers significant learning and mobility opportunities, allowing you to grow your career while making a meaningful impact on both our customers and the business.

Job responsibilities

  • Create plans for the development and delivery of product data to support strategic business objectives, operations, analytics, and reporting.
  • Identify and document the scope of critical data, ensuring clarity, purpose, and proper classification with metadata.
  • Support analytics initiatives by identifying data required for integration into analytics platforms.
  • Document and coordinate requirements for data accuracy, completeness, and timeliness.
  • Develop processes to identify, monitor, and mitigate data risks, including protection, retention, storage, and use.
  • Build strong relationships with data delivery partners and consumers across Business, Technology, Analytics, Operations, and Risk.
  • Track and manage workstreams and KPIs to ensure successful delivery of data initiatives.
  • Design and develop data models to support business processes and analytics requirements.
  • Create and optimize database structures for efficient data storage and retrieval.
  • Analyze data requirements and translate them into technical specifications for data models.
  • Maintain comprehensive documentation of data models, structures, and processes.

Required qualifications, capabilities, and skills

  • Bachelor's degree required, with 4+ years of industry experience in a data-related field.
  • Technical expertise in data management, data engineering, data pipelines, data modeling, data architecture, and governance.
  • Proficiency in data modeling tools and techniques.
  • Experience with cloud platforms such as AWS, Google, or Azure, and/or big data technologies like Hadoop, Spark, Alteryx, or Snowflake.
  • Strong understanding of data quality, privacy, and security standards, and experience with data governance frameworks and tools.
  • Proven ability to manage delivery across multiple workstreams with varying timelines.
  • Subject matter expertise in business or product data or processes.
  • Familiarity with database management systems (e.g., SQL, NoSQL).
  • Understanding of Agile technological development methodology.
  • Knowledge of industry best practices for data management and modeling.

Preferred qualifications, capabilities, and skills

  • Banking Payments domain knowledge is a plus.

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs. 

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.  We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.