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Data Analytics Apprentice Jobs in Maryland (NOW HIRING)

Data Engineer - Periscope

Lisbon, MD · On-site

$125K - $151K/yr

You will prepare and curate data for advanced analytics models, map data fields to hypotheses, and ... Our learning and apprenticeship culture, backed by structured programs, is all about helping you ...

... the accuracy and integrity of financial data across trading and finance systems. Job ... apprenticeship, and contract job assignments. We represent clients who support skills-first ...

Associate Pastor, Union College

Glen Burnie, MD

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Evaluate and analyze learning and operational data to ensure effectiveness and address student ... Positive Apprenticeship experience Must-Have's * Bachelor's degree in related field * 3-5 years of ...

Associate Pastor, Union College

Glen Burnie, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Evaluate and analyze learning and operational data to ensure effectiveness and address student ... Positive Apprenticeship experience Must-Have's * Bachelor's degree in related field * 3-5 years of ...

Associate Pastor, Union College

Glen Burnie, MD · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Evaluate and analyze learning and operational data to ensure effectiveness and address student ... Positive Apprenticeship experience Must-Have's * Bachelor's degree in related field * 3-5 years of ...

Showing results 21-40

Data Analytics Apprentice information

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 Maryland?

The most popular types of Data Analytics jobs in Maryland are:

What cities in Maryland are hiring for Data Analytics Apprentice jobs?

Cities in Maryland with the most Data Analytics Apprentice job openings:

Data Engineer - Periscope

McKinsey & Company

Lisbon, MD • On-site

$125K - $151K/yr

Full-time

Posted 17 days ago


McKinsey & Company rating

8.5

Company rating: 8.5 out of 10

Based on 22 frontline employees who took The Breakroom Quiz

20th of 72 rated business consultants


Job description

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You've come to the right place.
YOUR IMPACT
You will design secure, scalable data pipelines and solutions that enable advanced analytics and machine learning, driving impactful outcomes for clients and internal teams.
Your work offers the opportunity to innovate with cutting-edge technologies, collaborate with diverse experts, and grow as both a technologist and leader within McKinsey's entrepreneurial culture.
You will build robust, scalable, and secure data pipelines that are modular, reproducible, and deployable. You will prepare and curate data for advanced analytics models, map data fields to hypotheses, and ensure data environments meet the highest security standards. Your work will contribute to the development of innovative assets that support both client service teams and external clients.
Your work will have a real-world impact, driving meaningful outcomes for clients across industries. You will build technology assets that power high-stakes projects while collaborating with world-class design, technical, and business talent. Your work offers the freedom to experiment with the latest technologies and push the boundaries of innovation.
You will be part of our global data engineering community, collaborating with data scientists, machine learning engineers, project managers, and industry experts. Together, you will design and deliver cutting-edge data solutions that enable advanced analytics and machine learning capabilities, helping clients and internal teams unlock the full potential of their data. You will help to shift our model toward asset-based consulting and is a foundation for and expands our investment in our entrepreneurial culture.
You will experience unparalleled growth as a technologist and leader with the freedom to innovate, experiment, and master the world's leading technologies beyond any single proprietary stack. You will be part of an entrepreneurial culture that values creativity, collaboration, and impact, helping clients achieve lasting improvements while advancing McKinsey's mission to deliver transformative solutions through technology.
Founded in 2007, Periscope® By McKinsey enables better commercial decisions by uncovering actionable insights.
The Periscope platform combines world leading intellectual property, prescriptive analytics, and cloud-based tools to provide more than 25 solutions focused on insights and marketing, with expert support and training. It is a unique combination that drives revenue growth both now and in the future. Customer experience, performance, pricing, category, and sales optimization are powered by the Periscope platform. Periscope has a presence in 26 locations across 16 countries with a team of 600+ business and IT professionals and a network of 300+ experts. To learn more about how Periscope's solutions and experts are helping businesses continually drive better performance, visit their site .
Periscope Market Vision, a key solution within the Periscope suite, is a leading platform for competitive intelligence, offering advanced data collection, enrichment, AI-powered product matching, visual tools, and actionable insights reports.
YOUR GROWTH
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues-at all levels-will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have:
  • Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
  • A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
  • Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
  • World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS
  • Advanced degree in a quantitative field like computer science, machine learning, applied statistics or mathematics; or equivalent experience
  • Relevant professional experience (up to 2 years)
  • Proven experience building data pipelines in production for advanced analytics use cases
  • Experience working across structured, semi-structured and unstructured data
  • Exposure to software engineering concepts and best practices, including DevOps, DataOps and MLOps preferred
  • Familiarity with distributed computing frameworks, cloud platforms, containerization, and analytics libraries
  • While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more
  • Strong communication skills, both verbal and written, in English

Please review the additional requirements regarding essential job functions of McKinsey colleagues.
Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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