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Apprentice Data Analyst Jobs in Georgia (NOW HIRING)

Responsible for creating sophisticated, value-added analytic systems that support business ... apprenticeship that enriches the experience of our employees, while supporting flexibility for all.

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Apprentice Data Analyst information

What does a data analyst apprentice do?

A data analyst apprentice assists with collecting, cleaning, and analyzing data to support business decisions. They often learn to use tools like Excel, SQL, and data visualization software while gaining practical experience under supervision.

What are the key skills and qualifications needed to thrive as an Apprentice Data Analyst, and why are they important?

To thrive as an Apprentice Data Analyst, you need foundational skills in mathematics, data interpretation, and a basic understanding of statistics, often supported by coursework or relevant certifications. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is typically expected. Strong analytical thinking, attention to detail, and effective communication help you interpret findings and present insights clearly. These skills are crucial for transforming raw data into actionable information that supports business decision-making.

Is 30 too late for data science?

For an Apprentice Data Analyst, starting a career in data science at age 30 is feasible, as many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Excel or SQL, often through online courses or certifications. Age is less important than skill development and practical experience in entering data-related roles.

What are apprentice data analysts?

Apprentice data analysts are entry-level professionals who assist in collecting, processing, and analyzing data under the supervision of more experienced analysts. They typically work as part of a training program or apprenticeship to gain hands-on experience in data analysis, using tools like Excel, SQL, or Python. Their responsibilities may include preparing reports, visualizing data, and supporting business decision-making, all while learning essential data skills on the job.

Is 27 too old for an apprenticeship?

There is no age limit for becoming an apprentice data analyst, and many programs welcome mature candidates. Age should not be a barrier if you have the interest and skills, and some employers value diverse experiences that older apprentices bring. Focus on developing relevant skills like data analysis tools and certifications to enhance your prospects.

What are some common challenges faced by Apprentice Data Analysts during their first few months on the job?

Apprentice Data Analysts often face challenges such as getting familiar with new data tools and software, understanding the organization's specific data processes, and learning how to clean and interpret large datasets. Additionally, adapting to a fast-paced environment where priorities can shift quickly can be challenging. Close collaboration with senior analysts and proactively seeking feedback are essential for overcoming these hurdles and building confidence in your analytical skills.

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

AspectApprentice Data AnalystJunior Data Analyst
Required CredentialsBasic knowledge, often in training or courseworkSome experience or entry-level certifications
Work EnvironmentTraining programs, supervised settingsEntry-level roles in teams, more independent tasks
Employer & Industry UsageInternships, apprenticeships, entry-level programsFull-time entry-level positions in various industries
Comparison Search IntentLearning about entry-level or training rolesSeeking job opportunities or role clarification

The main difference between an Apprentice Data Analyst and a Junior Data Analyst lies in experience and training. Apprentices are typically in training programs or internships, gaining foundational skills under supervision. Junior Data Analysts are usually more experienced, performing entry-level tasks independently. Both roles serve as stepping stones into the data analysis field, but apprentices focus on learning, while juniors focus on applying skills in real-world projects.

Can I start data analyst with no experience?

Starting as a data analyst typically requires some knowledge of data analysis tools like Excel, SQL, or Python, but many entry-level positions are open to candidates with no prior experience if they demonstrate strong analytical skills and a willingness to learn. Internships, online courses, and certifications can help build relevant skills and improve job prospects for beginners.
What are the most commonly searched types of Data Analyst jobs in Georgia? The most popular types of Data Analyst jobs in Georgia are:
What are popular job titles related to Apprentice Data Analyst jobs in Georgia? For Apprentice Data Analyst jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Apprentice Data Analyst jobs in Georgia look for? The top searched job categories for Apprentice Data Analyst jobs in Georgia are:
Infographic showing various Apprentice Data Analyst job openings in Georgia as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Associate, Modelling Data Scientist

Associate, Modelling Data Scientist

BlackRock

Atlanta, GA • On-site

$136K - $148K/yr

Full-time

Medical, Retirement

Posted 10 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

Company: BlackRock Financial Management, Inc.
Job Title: Associate, Modelling Data Scientist
Location: 725 Ponce De Leon Avenue NE Atlanta, GA 30306

Job Duties: Responsible for creating sophisticated, value-added analytic systems that support business decisions and activities (e.g., trading decisions, investment strategies for the firm and/or clients, research initiatives, and deal structuring). Responsibilities include building high performance algorithms, prototypes, predictive models, and proofs of concept. Designing and develop financial models that provide insights into specific securities and asset classes, enabling the optimization of portfolio returns. The role advances the analytics capabilities of the firm's platforms through improved models and expanded product coverage.

Qualifications: Bachelor's degree or foreign equivalent in Data Science, Financial Engineering, Statistics, Computer Science, or closely related field and 24 months of experience in job offered, or closely related role. Position requires two years of experience in the following: Building advanced quantitative or generative AI models using methods including machine learning, deep learning, or LLM evaluation; Researching AI technologies and applying to financial problems; Documenting model development process and conducting thorough model testing and surveillance planning; Python, MATLAB, R, and Rust ; Cloud services including Azure and Google Big Query (GCP); Delivering internal and external technical presentations on complex model methodologies; MySQL, PostgreSQL, and SparkSQL; Natural Language Processing; and Tableau, Jupiter Notebook, PowerBI, VScode, AzureML, and MLFlow.

Salary: $136,500 - 148,000

To apply, please click "Apply" on this webpage.

For Atlanta, GA Only the salary range for this position is USD$0.00 - USD$0.00 . 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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