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Data Analytics Apprentice Jobs in New York (NOW HIRING)

Jobs for Humanity

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 ...

Gartner

People Analytics Insights Manager

Stamford, CT · On-site

The People Analytics team within Gartner derives actionable insights from workforce data to ... Ongoing mentorship and apprenticeship; Leadership courses, development programs, technical courses ...

Gartner

People Analytics Insights Manager

Stamford, CT · Hybrid

The People Analytics team within Gartner derives actionable insights from workforce data to ... Ongoing mentorship and apprenticeship; Leadership courses, development programs, technical courses ...

Disabled American Veterans

NSO (Apprentice)

Newark, NJ · On-site

$50K/yr

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 ...

City of New York

PROJECT COORDINATOR

Manhattan, NY · On-site

Family Indepence Administration (FIA) is recruiting for one (1) Youth Apprentice, to function as Project Coordinator assigned to the Fair Fares program, who will: - Analyze the Fair Fares Web data to ...

City of New York

PROJECT COORDINATOR

Manhattan, NY · On-site

$10 - $20/hr

Family Indepence Administration (FIA) is recruiting for one (1) Youth Apprentice, to function as Project Coordinator assigned to the Fair Fares program, who will: - Analyze the Fair Fares Web data to ...

City of New York

PROJECT COORDINATOR

Manhattan, NY

Family Indepence Administration (FIA) is recruiting for one (1) Youth Apprentice, to function as Project Coordinator assigned to the Fair Fares program, who will: - Analyze the Fair Fares Web data to ...

Gartner

Director, People Analytics

Stamford, CT · Hybrid

ThePeople Analyticsteam within Gartner derives actionable insights from workforce data to recommend ... Ongoing mentorship and apprenticeship; Leadership courses, development programs, technical courses ...

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Data Analytics Apprentice information

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 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 most commonly searched types of Data Analytics jobs in New York? The most popular types of Data Analytics jobs in New York are:
Data Analytics Apprentice jobs near you

Director - Data & Analytics, BlackRock Investment Stewardship

BlackRock

New York, NY • Hybrid

Full-time

Medical, Retirement

Posted 19 days ago

BlackRock rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

Job description

About this role

FunctionDescription

The BlackRock Investment Stewardship team (BIS) operates across three regions - the Americas (New York and San Francisco); Europe, Middle East and Africa (London); and Asia-Pacific (Tokyo, Hong Kong, Singapore and Sydney) - and undertakes engagement with and proxy voting at portfolio companies on behalf of index clients globally.

This is an exciting opportunity to join ateam ofhighperforming specialists globally.

Team Overview

TheBISteam's activities are guided by BIS' role as a fiduciary on behalf of our clients.In this role, the Director will lead theData & Analyticsteamwithin BISsupportingthe delivery ofprocesses and tools on behalfof the globalBISteam.The roleis based in New York, andreports to the Head of Platform, BIS.

Role

The Director willleadtheBISData & Analyticsteam,managingthreeengineersbased in New York.The successful candidatewillbe responsible fordeliveringglobal, data-centricstewardshipcapabilities including research and reporting, which willcomplement the qualitative company-specific research conducted by BISengagement andvoting analysts. In this role, the Directorhas responsibility, in close partnership with BIS' engagement and voting analysts, to drive the buildout and maintenance ofvarious tools and processes in support of BIS'engagement,voting and client reporting operations.

Thesuccessful candidateshouldpossessa passion for creative and critical thinking about the stewardship ecosystem, investment research,financial and corporate governancedata analysis, as wellas workingclosely withthe broadertechnologybusiness at BlackRock.

Key Responsibilities:

  • Enable the stewardship platform, spanning research,votingand client reporting

  • Leverageexpertisein automation to improve analyst efficiencyand controls

  • Support voting and engagement client reporting by designing andmaintaininga code stackutilizingBlackRock'sapplications and tools, includingmanaging anyinterface with Aladdin and other external applications and vendors

  • Partner with other analyticaland technologyfunctions across BlackRock,including the Aladdin Product Group, and Risk and Quantitative Analysis to build,maintainand improve technological solutions

  • Ensure integrity of theBISdata environment and oversee the quality control ofBISproprietary datasets. Golden source of truth for data-rich publications

  • Directteam ofdata analysts inappropriate designand use of data tools and reports

The ideal candidate will have:

  • 8-12years of experience in data engineering

  • Recent experience in evaluating and deploying modern AI techniques

  • Undergraduate degree isrequired, and an advanced degree (Masters) is a plus within a technical field (Computer Science, Statistics)

  • Demonstrated experience with building research and analytics platforms

  • Expert-levelproficiencyrequired. The successful candidates should be a master of relational modeling and complex query optimization

  • ExperiencedinAIincluding orchestration and building workflows,UI/UX,and building RAG-based systems

  • Design robust schemas and ETL/ELT pipelines to ingest corporate filings, global news, and financial data, maximizing our ability to deliver rapid insights

  • Ability to integratecutting-edgeAI intoBISworkflow.Should be comfortable with RAG (Retrieval-Augmented Generation) search, Agentic Workflows, and AI embeddings to help query massive datasets intuitively

  • Demonstrated experience using Python or C# to automate workflows and solve engineering hurdles

  • Significant experiencewith Snowflake (specifically Lake House implementations)

  • Effective communication skills. The successful candidate must have the confidence and ability to interact at the most senior levels and collaborate with both technical and non-technical personnel

  • Collaborativeworking style,withstrong interpersonal skills

  • Experienceof engagingand working effectivelywithpartner technology teamsin a multi-nationalorganization

For New York, NY Only the salary range for this position is USD$200,000.00 - USD$250,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.

Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.

Our hybrid work model

BlackRock's hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person - aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.


Guidance on AI use for candidates


At BlackRock, AI has long been part of how we work - enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we've provided guidanceon when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.


About BlackRock


At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children's educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.


This mission would not be possible without our smartest investment - the one we make in our employees. It's why we're dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.


To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.

BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.View theEEOC's Know Your Rights poster and its supplementand thepay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with ourprivacy policy.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.

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