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Data Analytics Apprentice Jobs in Woodside, NY (NOW HIRING)

Introduction As an apprentice, you'll join with other apprentices in a local cohort. You'll go ... If you've had some experience with data analysis or simply working in a team oriented environment ...

Introduction As an apprentice, you'll join with other apprentices in a local cohort. You'll go ... If you've had some experience with data analysis or simply working in a team oriented environment ...

Introduction As an apprentice, you'll join with other apprentices in a local cohort. You'll go ... If you've had some experience with data analysis or simply working in a team oriented environment ...

Introduction As an apprentice, you'll join with other apprentices in a local cohort. You'll go ... If you've had some experience with data analysis or simply working in a team oriented environment ...

Data Analyst

New York, NY · Remote

$55 - $60/hr

... scalable analytics solutions. Job Responsibilities * Analyze operational data to identify trends ... apprenticeship, and contract job assignments. We represent clients who support skills-first ...

NSO (Apprentice)

Newark, NJ · On-site

$20.18 - $31.39/hr

Review service records and other pertinent data, including medical records, to identify and/or ... analyzing the application of appropriate regulations to the facts of a given case. * Practice ...

The teaching team (lead & apprentice teachers) work together to facilitate our free-choice centers ... Data Analysis * You'll meet weekly with your director to analyze and respond to trends in student ...

The teaching team (lead & apprentice teachers) work together to facilitate our free-choice centers ... Data Analysis * You'll meet weekly with your director to analyze and respond to trends in student ...

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Data Analytics Apprentice information

See Woodside, NY salary details

$12

$23

$37

How much do data analytics apprentice jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for data analytics apprentice in Woodside, NY is $23.61, according to ZipRecruiter salary data. Most workers in this role earn between $18.89 and $26.11 per hour, depending on experience, location, and employer.

What does a data analytics apprentice do?

A Data Analytics Apprentice is an entry-level professional who supports data analysis tasks while learning on the job. They assist with collecting, cleaning, and interpreting data to help organizations make informed decisions. Apprentices often work under the supervision of experienced data analysts, using tools like Excel, SQL, and basic data visualization software. Their responsibilities may include creating reports, identifying trends, and helping with data-driven projects as they develop their skills.

What are the key skills and qualifications needed to thrive as a data analytics apprentice?

To thrive as a Data Analytics Apprentice, you need a solid understanding of statistics, data manipulation, and basic programming, often supported by foundational coursework or a related degree. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically required. Strong analytical thinking, attention to detail, and effective communication help you interpret data and share insights clearly. These skills are vital for transforming raw data into actionable information, supporting decision-making, and learning advanced analytics techniques on the job.

What types of projects and tasks can I expect to work on as a data analytics apprentice?

As a Data Analytics Apprentice, you will typically work on a range of projects such as cleaning and organizing datasets, creating reports and visualizations, and conducting basic analyses to uncover trends or patterns. You'll often collaborate with data analysts, engineers, and business teams to support decision-making processes. Expect to use tools like Excel, SQL, or Tableau, and gradually take on more complex assignments as your skills develop. This hands-on experience is designed to build foundational skills and prepare you for more advanced data roles in the future.

What is the difference between Data Analytics Apprentice vs Data Analyst?

AspectData Analytics ApprenticeData Analyst
Required CredentialsOften entry-level, some may have a degree or certification in data-related fieldsTypically requires a degree in data science, statistics, or related fields; certifications like Google Data Analytics are common
Work EnvironmentInternship or trainee position, often in a corporate or consulting settingFull-time role in various industries, including finance, healthcare, and tech
Employer & Industry UsageUsed by companies to train and evaluate potential future analystsStandard role for analyzing data, creating reports, and supporting decision-making

The main difference is that a Data Analytics Apprentice is an entry-level trainee position designed for learning and development, while a Data Analyst is a full-fledged professional responsible for analyzing data and providing insights. Apprenticeships often serve as a stepping stone toward becoming a Data Analyst.

What are the most commonly searched types of Data Analytics jobs in Woodside, NY?

The most popular types of Data Analytics jobs in Woodside, NY are:

What cities near Woodside, NY are hiring for Data Analytics Apprentice jobs?

Cities near Woodside, NY with the most Data Analytics Apprentice job openings:

Mgr, Business Analysis, Workforce Initiatives, Data & Analytics

New York, NY • On-site


CVS Health
Health Care and Social Assistance • 10K+ employees

5.8

Company rating: 5.8 out of 10

Based on 4,352 frontline employees who took The Breakroom Quiz

90th of 113 rated pharmacies

Recommended by students

Recommended by parents

Respectful managers


Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position SummaryCVS Health is seeking a strategic, data-driven Manager, Business Analysis, Workforce Initiatives, Data & Analytics to lead workforce intelligence and analytics initiatives that support enterprise workforce planning, talent pipeline development, program effectiveness, and business decision making.This role is responsible for transforming Workforce Initiatives data into actionable business intelligence that improves participant outcomes, strengthens talent pipelines, drives operational efficiency, and informs enterprise workforce strategy. Sitting at the intersection of data analytics, business strategy, workforce planning, technology, and operational excellence, the Manager will convert complex data into meaningful insights that influence talent, operational, and organizational outcomes.The successful candidate will serve as the business owner for the Workforce Initiatives data ecosystem, ensuring data quality, governance, reporting consistency, and scalability across key platforms including Workday, Applicant Tracking Systems (ATS), LearningHub, Sophia, and other enterprise technologies.As a strategic partner to Workforce Initiatives leadership, Human Resources, Talent Acquisition, Operations, Finance, Information Technology, and external stakeholders, this leader will identify trends, uncover opportunities, measure program effectiveness, and provide analytics-driven recommendations that influence business strategy. The role will also drive the responsible adoption of AI-enabled analytics, automation, and reporting solutions that improve decision making, reduce manual effort, and enhance the stakeholder experience.Key Responsibilities & DutiesWorkforce Analytics Strategy & Business Intelligence (25%)
  • Lead the development and execution of workforce analytics and business intelligence strategies that support Workforce Initiatives programs and enterprise business objectives.
  • Translate complex workforce, operational, participant, and stakeholder data into meaningful insights and actionable recommendations.
  • Develop executive dashboards, scorecards, and key performance indicators that measure program success, workforce outcomes, community impact, and operational effectiveness.
  • Provide strategic guidance to leadership through data storytelling, workforce trend analysis, and performance reporting.
  • Identify opportunities to improve participant outcomes, strengthen talent pipelines, increase hiring conversion rates, and enhance organizational effectiveness through data-driven decision making.
  • Measure and report on Workforce Initiatives outcomes, including participant engagement, hiring conversions, workforce development program effectiveness, talent pipeline performance, apprenticeship outcomes, and community impact metrics.
Enterprise Data Management & System Integration (25%)
  • Serve as the business owner for the Workforce Initiatives data ecosystem and enterprise workforce reporting environment.
  • Lead enterprise data enhancement initiatives across Workday, Applicant Tracking Systems (ATS), LearningHub, Sophia, and related workforce technologies.
  • Establish and maintain data governance standards to ensure consistency, integrity, accuracy, security, and reporting reliability.
  • Partner with Human Resources, Information Technology, Operations, and external vendors to improve integrations and streamline data flows.
  • Develop scalable data architecture solutions that support evolving reporting and analytical needs.
  • Drive continuous improvement initiatives that enhance accessibility, usability, and scalability of workforce data.
  • Partner with technology teams to evaluate, implement, and optimize new platforms, integrations, and reporting capabilities that support business growth and operational excellence.
Advanced Analytics & Predictive Modeling (15%)
  • Develop and maintain the Workforce Initiatives Data Vault to support longitudinal workforce analysis, trend forecasting, and predictive analytics.
  • Utilize advanced analytical techniques to identify workforce risks, opportunities, and emerging trends.
  • Create models that evaluate workforce development program effectiveness, talent pipeline health, partner performance, hiring conversion rates, retention trends, and overall business impact.
  • Develop forecasting models that support workforce demand planning, participant conversion projections, capacity planning, and program investment decisions.
  • Support strategic workforce planning initiatives through predictive insights and scenario-based analysis.
  • Integrate internal and external data sources to improve forecasting accuracy and decision-making capabilities.
Reporting, Visualization & Performance Management (15%)
  • Design, develop, and maintain enterprise reporting frameworks using Power BI, Tableau, SQL, and other business intelligence tools.
  • Create automated dashboards that provide real-time visibility into workforce initiatives, performance metrics, participant outcomes, and operational trends.
  • Standardize reporting methodologies and performance measurement frameworks across programs to increase consistency and transparency.
  • Monitor performance indicators and workforce outcomes while providing recommendations for operational improvements and strategic adjustments.
  • Ensure reporting solutions meet business requirements while maintaining scalability, sustainability, and ease of use.
Automation, Process Optimization & Innovation (10%)
  • Lead automation initiatives that reduce manual effort, eliminate redundant processes, and improve operational efficiency.
  • Identify opportunities to leverage emerging technologies, AI-enabled tools, business intelligence solutions, and workflow automation capabilities.
  • Develop exception reporting and monitoring capabilities that proactively identify data quality concerns and operational risks.
  • Partner with stakeholders to redesign processes that reduce administrative burden and create measurable efficiencies.
  • Foster a culture of innovation through continuous improvement methodologies, automation, and technology adoption.
Stakeholder Partnership & Team Leadership (10%)
  • Serve as a trusted advisor to Workforce Initiatives leadership and enterprise stakeholders.
  • Build strong partnerships across Human Resources, Talent Acquisition, Learning & Development, Operations, Finance, Information Technology, and external partners.
  • Lead cross-functional projects from concept through implementation, ensuring delivery of measurable business value and sustainable outcomes.
  • Present findings, recommendations, and strategic insights to leadership and executive audiences.
  • Provide coaching, mentoring, and development support to team members while fostering a culture of accountability, curiosity, innovation, and continuous improvement.
Required Qualifications
  • Bachelor's degree in business Analytics, Data Science, Information Systems, Statistics, Economics, Finance, Computer Science, Mathematics, or a related field.
  • 5+ years of experience in Business Analytics, Workforce Analytics, Business Intelligence, Data Strategy, or related disciplines.
  • Demonstrated experience leading enterprise data initiatives, business intelligence projects, and reporting transformation efforts.
  • Advanced experience utilizing Power BI, Tableau, or related visualization and reporting platforms.
  • Strong SQL expertise, including data extraction, transformation, validation, and data management.
  • Experience working with large datasets, data governance frameworks, and data quality programs.
  • Proven ability to communicate complex analytical findings to both technical and non-technical audiences.
  • Demonstrated experience translating business challenges into data-driven solutions and influencing decisions across multiple stakeholder groups.
  • Strong project management, stakeholder engagement, organizational, and problem-solving skills.
  • Demonstrated ability to present complex data and strategic recommendations to senior leadership and executive audiences.
  • Experience leveraging analytics to support strategic business decisions, workforce planning, and operational improvements.
Preferred Qualifications
  • Experience within workforce analytics, talent management, workforce development, healthcare, retail, or large enterprise environments.
  • Knowledge of Workday, Applicant Tracking Systems (ATS), Learning Management Systems (LMS), workforce planning technologies, and CRM platforms.
  • Experience building predictive models, forecasting solutions, and advanced workforce analytics frameworks.
  • Understanding of data warehousing, ETL processes, data architecture, master data management, and cloud-based analytics platforms.
  • Experience with automation technologies such as Power Automate, Alteryx, Python, R, AI-enabled analytics solutions, or emerging workforce technology tools.
  • Lean Six Sigma, Agile, PMP, Certified Analytics Professional (CAP), or related certifications preferred.


Education

Bachelors Degree

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$54,300.00 - $119,340.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 08/30/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.



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