Classification Analyst in New York Career Overview

As a Classification Analyst, you take on a critical role in ensuring that information, products, and services are accurately categorized and evaluated. Your work supports a variety of industries, including finance, healthcare, and manufacturing, where precise classification is essential for compliance, record-keeping, and data analysis.

Key aspects of the Classification Analyst role include:

  • Assessment and Categorization: You analyze and classify data, products, or systems according to established criteria. This process ensures accurate categorization in databases, which is vital for organizational efficiency.

  • Data Integrity: By maintaining high standards of data integrity and accuracy, you help organizations minimize risks associated with misclassification. This is particularly important in regulatory environments where compliance is mandatory.

  • Analytical Reporting: You generate reports based on your findings, providing valuable insights that assist management in decision-making processes, operational improvements, and strategic planning.

  • Collaboration: You work closely with other departments, such as compliance, operations, and information technology, to ensure that classification practices are consistent and aligned with industry standards.

  • Regulatory Compliance: You play a significant role in ensuring that the classifications meet industry regulations and standards, which can vary widely across different sectors.

  • Continuous Improvement: You contribute to the ongoing refinement of classification methods and systems, adapting to changes in regulations and advancements in technology.

Through your analytical prowess and organizational skills, you act as an essential part of the operational framework, helping your organization navigate the complexities of data management and classification.

Classification Analyst Salary in New York

Annual Median: $90,540
Hourly Median: $43.53

Data sourced from Career One Stop, provided by the BLS Occupational Employment and Wage Statistics wage estimates.

Required Education To Become a Classification Analyst in New York

To become a Classification Analyst, specific educational qualifications and training are essential. Here are the recommended college degree programs that can prepare you for this career:

  • Data Analytics: This program equips you with the necessary skills to analyze complex data sets, interpret trends, and utilize data-driven decision-making techniques.

  • Data Science: Pursuing a degree in Data Science provides a strong foundation in statistical analysis, programming, and machine learning, essential for effective classification and data processing.

  • Econometrics and Quantitative Economics: This program emphasizes the application of statistical methods to economic data, preparing you to analyze economic relationships and make data-informed predictions.

  • Research Methodology and Quantitative Methods: This degree focuses on research design, data collection techniques, and statistical analysis, enabling you to conduct thorough evaluations and classifications of data.

Completing any of these programs generally involves a combination of theoretical coursework and practical experience, which is vital to your development as a Classification Analyst.

Best Schools to become a Classification Analyst in New York 2024

University of California-Los Angeles

Los Angeles, CA

In-State Tuition:$11,564
Out-of-State Tuition:$41,636
Admission Rate:9%
Graduation Rate:92%
Total Enrollment:46,430

University of California-Berkeley

Berkeley, CA

In-State Tuition:$11,564
Out-of-State Tuition:$41,636
Admission Rate:11%
Graduation Rate:94%
Total Enrollment:45,307

University of California-Santa Barbara

Santa Barbara, CA

In-State Tuition:$11,564
Out-of-State Tuition:$41,636
Admission Rate:26%
Graduation Rate:86%
Total Enrollment:26,420

University of Chicago

Chicago, IL

In-State Tuition:$61,179
Out-of-State Tuition:$61,179
Admission Rate:5%
Graduation Rate:96%
Total Enrollment:18,339

University of California-Davis

Davis, CA

In-State Tuition:$11,564
Out-of-State Tuition:$41,636
Admission Rate:37%
Graduation Rate:86%
Total Enrollment:39,679

New York University

New York, NY

In-State Tuition:$55,384
Out-of-State Tuition:$55,384
Admission Rate:12%
Graduation Rate:87%
Total Enrollment:59,144
Classification Analyst Job Description:
  • Conduct programs of compensation and benefits and job analysis for employer.
  • May specialize in specific areas, such as position classification and pension programs.

Classification Analyst Required Skills and Competencies in New York

  • Analytical Thinking: You must be able to analyze large sets of data to identify patterns and trends that are relevant to classification tasks. This involves applying logical reasoning to solve complex problems efficiently.

  • Attention to Detail: Accuracy is vital in your work. You need an acute eye for detail to ensure that all classifications meet the required standards and that no errors compromise the integrity of the information.

  • Communication Skills: You should be able to convey complex information clearly and effectively. This includes writing reports and presenting findings to stakeholders who may not have a technical background.

  • Technical Proficiency: Familiarity with data management software, classification tools, and database systems is important. You should be comfortable navigating and manipulating data in various formats.

  • Research Skills: You will often need to conduct thorough research to understand classification standards and methodologies. This includes staying up to date with industry trends and evolving best practices.

  • Problem-Solving Abilities: As challenges arise, you should be able to develop innovative solutions that enhance classification processes. Critical thinking is essential for troubleshooting issues that may impact data classification.

  • Organizational Skills: You must manage multiple classification projects simultaneously while meeting deadlines. Strong organization skills will help you keep track of various tasks and prioritize effectively.

  • Collaboration Skills: Working with cross-functional teams is common in this role. You should be able to collaborate effectively with colleagues from different departments to ensure cohesive data management and classification efforts.

  • Adaptability: The ability to adjust to new technologies, methodologies, and regulatory changes is important. Flexibility in approach will help you thrive in a continuously evolving work environment.

  • Ethical Judgment: You need to possess strong ethical standards, particularly regarding data handling and confidentiality. Ensuring data integrity and compliance with relevant regulations is part of your responsibility.

Job Duties for Classification Analysts

  • Ensure company compliance with federal and state laws, including reporting requirements.

  • Evaluate job positions, determining classification, exempt or non-exempt status, and salary.

  • Prepare occupational classifications, job descriptions, and salary scales.

Technologies and Skills Used by Classification Analysts

Enterprise resource planning ERP software

  • Oracle PeopleSoft
  • Workday software

Human resources software

  • Human resource management software HRMS
  • Oracle E-Business Suite Human Resources Management System

Presentation software

  • Microsoft PowerPoint

Basic Skills

  • Reading work related information
  • Thinking about the pros and cons of different ways to solve a problem

People and Technology Systems

  • Figuring out how a system should work and how changes in the future will affect it
  • Thinking about the pros and cons of different options and picking the best one

Problem Solving

  • Noticing a problem and figuring out the best way to solve it

Job Market and Opportunities for Classification Analyst in New York

The job market for Classification Analysts in New York is influenced by various factors, including industry demands and technological advancements. Here are key aspects of the current landscape:

  • Demand for Classification Analysts: Organizations across multiple sectors recognize the importance of data classification for effective information management and compliance. This demand is particularly high in industries such as finance, healthcare, and technology, where data governance is critical.

  • Growth Potential: The role of Classification Analysts is experiencing steady growth. As companies increasingly rely on data analytics to make informed decisions and comply with regulations, the need for professionals who can categorize and manage data effectively continues to expand. The ongoing evolution of artificial intelligence and machine learning technologies also presents opportunities for Classification Analysts to enhance their roles with predictive analytics and automated classification techniques.

  • Geographical Hotspots:

    • New York City: As a major financial and tech hub, NYC offers numerous opportunities for Classification Analysts. Large financial institutions, healthcare organizations, and tech startups frequently seek professionals in this field to ensure accuracy and regulatory compliance in data handling.
    • Westchester County: Increasing numbers of companies in industries such as healthcare and pharmaceuticals are setting up their operations here. This growth contributes to a rise in demand for Classification Analysts who can manage sensitive data securely.
    • Long Island: The tech sector is steadily growing in this region, with various organizations focusing on data management and analysis. This growth translates into job opportunities for Classification Analysts to work within innovative environments.
  • Industry Trends: The digital transformation across sectors is driving organizations to prioritize data classification. The rise of big data analytics and increased regulation regarding data privacy enhance the relevance of Classification Analysts, allowing for further career advancement and specialization opportunities.

You remain well-positioned to take advantage of these trends and geographical opportunities while navigating your career path in New York as a Classification Analyst.

Additional Resources To Help You Become a Classification Analyst in New York

  • U.S. Bureau of Labor Statistics (BLS) - Labor Market Information

  • American Statistical Association (ASA)

    • A reputable organization dedicated to advancing the field of statistics and providing resources, networking, and professional development opportunities.
    • American Statistical Association
  • Society for Human Resource Management (SHRM)

    • Offers resources on workforce classification, compliance, and best practices to aid in professional development for analysts focused on workforce analytics.
    • Society for Human Resource Management
  • National Archives - Classification Standards

    • Explore the guidelines and standards used for job classification at the federal level. This is essential for understanding the framework and methodologies applied in job classification.
    • National Archives
  • International Association for the Classification of Professions (IACP)

    • A global network providing insights into classification systems and their applications, which is beneficial for analysts looking to broaden their perspectives.
    • IACP
  • LinkedIn Learning – Data Classification and Data Governance Courses

    • Offers courses specifically designed for classification analysts that cover data governance, techniques, tools, and industry best practices.
    • LinkedIn Learning
  • Data Science Central

    • An online resource that provides articles, webinars, and forums on data analysis techniques and industry trends relevant to classification analysis.
    • Data Science Central
  • Institute for Operations Research and the Management Sciences (INFORMS)

    • Provides access to journals, webinars, and conferences focusing on operations research and analytics, which can enhance your understanding of classification methods.
    • INFORMS
  • New York State Department of Labor

    • Offers resources specific to job classifications within New York, including labor market statistics and classifications used in various sectors.
    • New York State Department of Labor
  • Coursera – Professional Certificates in Data Analytics

    • Provides relevant online courses from top universities and companies to strengthen your analytics and classification skills.
    • Coursera

These resources will aid you in your journey as a Classification Analyst, providing key insights, training opportunities, and valuable connections within the industry.

Frequently Asked Questions (FAQs) About Classification Analyst in New York

  • What is a Classification Analyst?
    A Classification Analyst specializes in evaluating and categorizing data, jobs, or products to organize information effectively. This role often involves developing and implementing classification systems to ensure accurate data management.

  • What qualifications do I need to become a Classification Analyst?
    Typically, a bachelor's degree in a related field such as information technology, data science, human resources, or business administration is required. Additional certifications in data analysis or classification systems can be beneficial.

  • What skills are essential for a Classification Analyst?
    Important skills include analytical thinking, attention to detail, proficiency in data management software, strong communication abilities, and knowledge of classification systems. Familiarity with data visualization tools can also be advantageous.

  • What does a typical day look like for a Classification Analyst?
    Your day may involve gathering data, analyzing trends, developing classification methodologies, consulting with stakeholders, and preparing reports based on your findings. Collaboration with other departments is often a key part of the role.

  • Where do Classification Analysts typically work?
    Classification Analysts can be found in various sectors including government agencies, healthcare organizations, private businesses, and educational institutions. Opportunities may be available in both remote and on-site roles.

  • What is the salary range for a Classification Analyst in New York?
    Salaries can vary widely based on experience, education, and the specific industry but generally range from $55,000 to $95,000 annually, with the potential for higher earnings in senior positions or specialized areas.

  • What career advancement opportunities are available for Classification Analysts?
    With experience, you can advance to roles such as Senior Classification Analyst, Data Manager, or even transition into data science or organizational development positions. Continuing education and certifications can support your advancement.

  • What industries are growing for Classification Analysts?
    Industries such as healthcare, technology, finance, and government are increasingly relying on data classification analysts due to the ever-growing need for organized and accessible data.

  • Is certification important for a Classification Analyst?
    While not always required, certification can enhance your credibility and demonstrate specialized knowledge in classification systems or data analysis, making you a more competitive candidate.

  • What tools and software do Classification Analysts commonly use?
    Common tools include Excel, SQL for database management, data visualization software like Tableau, and classification software specific to your industry. Familiarity with statistical analysis software may also be beneficial.

  • How can I gain experience as a Classification Analyst?
    Consider internships, entry-level positions in data management, or volunteer opportunities that involve data analysis. Networking through professional organizations can also help you find relevant opportunities.

  • What is the work environment like for a Classification Analyst?
    Work environments vary but generally involve a mix of office settings and remote work. The role may require collaboration with teams but often allows for independent problem-solving and data analysis.