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Entry Level Data Mining Jobs in Georgia (NOW HIRING)

Entry Level Data Mining information

See Georgia salary details

$43.1K

$59.1K

$75.2K

How much do entry level data mining jobs pay per year?

As of Jul 17, 2026, the average yearly pay for entry level data mining in Georgia is $59,106.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,400.00 and $71,800.00 per year, depending on experience, location, and employer.

What is an Entry Level Data Mining job?

An Entry Level Data Mining job involves collecting, cleaning, and analyzing large datasets to identify patterns and trends. Professionals in this role use statistical techniques, programming languages like Python or SQL, and data visualization tools to extract meaningful insights. They often support business decisions by preparing reports, building predictive models, and ensuring data quality. This role is ideal for individuals with a background in data science, computer science, or related fields who want to gain hands-on experience in handling and interpreting data.

How much does an entry-level miner make?

Entry-level data miners typically earn between $40,000 and $60,000 annually, depending on the industry, location, and specific skills such as knowledge of SQL or data analysis tools. Starting salaries may be lower in some regions or companies, but with experience and additional training, earnings can increase.

What does a typical day look like for someone in an Entry Level Data Mining position?

A typical day for an Entry Level Data Mining professional often involves cleaning and organizing raw data, running exploratory analyses, and assisting in building models or algorithms under the guidance of senior team members. Collaboration with data analysts, engineers, and business teams is common, as you may be responsible for preparing reports or visualizations that help inform decision-making. You may also spend time learning new data mining techniques or tools to enhance your efficiency and broaden your skill set. The role offers a mix of technical tasks and teamwork, making it a great opportunity for those eager to grow within the field of data science.

What are the key skills and qualifications needed to thrive in the Entry Level Data Mining position, and why are they important?

To thrive as an Entry Level Data Mining professional, a solid understanding of statistics, basic programming (such as Python or R), and data analysis is typically required, often backed by a degree in computer science, mathematics, or a related field. Familiarity with data mining tools like Weka, RapidMiner, or SQL databases is beneficial, and certifications in analytics or data science can enhance your prospects. Strong attention to detail, analytical thinking, and effective communication are important soft skills for collaborating and conveying findings to non-technical stakeholders. These competencies ensure accurate data extraction, meaningful insights, and successful teamwork essential for effective contributions in data-driven environments.

Is 40 too late for data science?

Entry level data mining roles are accessible at any age, including at 40, especially if you develop relevant skills such as SQL, Python, and data analysis. Many professionals transition into data science later in their careers by gaining certifications or completing relevant training programs.

Will data mining be replaced by AI?

Data mining as a job involves extracting useful patterns from large datasets, and AI tools are increasingly automating parts of this process. However, human expertise is still essential for interpreting results, designing algorithms, and ensuring data quality, so data mining roles are likely to evolve rather than be fully replaced by AI.

How to get started in data mining?

To start a career in data mining, develop skills in programming languages like Python or R, learn database query languages such as SQL, and understand data analysis and machine learning concepts. Gaining experience through online courses, certifications, or internships can also help build practical knowledge in data extraction and analysis tools.
What are the most commonly searched types of Data Mining jobs in Georgia? The most popular types of Data Mining jobs in Georgia are:
What cities in Georgia are hiring for Entry Level Data Mining jobs? Cities in Georgia with the most Entry Level Data Mining job openings:
Infographic showing various Entry Level Data Mining job openings in Georgia as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $59,106 per year, or $28.4 per hour.
Finance Transformation - Finance Operations Consulting - Senior Associate

Finance Transformation - Finance Operations Consulting - Senior Associate

Pwc

Atlanta, GA

$77K - $202K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 8 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

20th of 58 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Finance

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As a Finance Transformation - Finance Operations Consulting - Senior Associate, you will have the chance to work alongside top executives such as CEOs, CFOs, controllers, and treasurers to optimize finance functions and enhance their business contributions. Within our Finance practice, you will address challenges related to achieving appropriate standards of control, efficient back-office opportunities, and providing insightful support to the business. You will play a pivotal role in transforming finance functions by executing strategies that reduce complexity through streamlined processes and optimized technology use.
As a Senior Associate, you will leverage your skills to solve complex business issues from strategy to execution. You will focus on building meaningful client relationships, navigating complex situations, and mentoring junior team members. Your role will involve using critical thinking to break down complex concepts and guide others, while maintaining professional standards and adapting to diverse perspectives. You are expected to anticipate the needs of your teams and clients, delivering quality solutions even when the path forward isn't clear.
In this role at PwC, you will contribute to the delivery of cost-effective, quality services to stakeholders, helping clients transform their finance functions and improve their business impact.
Responsibilities
- Transforming finance functions by executing strategies to streamline processes and optimize technology use
- Collaborating with CEOs, CFOs, controllers, and treasurers to enhance finance operations and business contributions
- Addressing challenges in achieving appropriate standards of control and efficient back-office opportunities
- Supporting clients through insight and challenge to deliver cost-effective services to stakeholders
- Analyzing complex business issues from strategy to execution using critical thinking and problem-solving skills
- Utilizing financial data mining and forecasting to inform insights and recommendations
- Reviewing work for quality, accuracy, and relevance while upholding the firm's code of ethics and business conduct
- Delegating tasks to provide stretch opportunities and coaching team members to deliver results
- Modifying behavior to build quality relationships and influence others through structured communication
- Embracing opportunities for exposure to diverse situations, environments, and perspectives
What You Must Have
- At least a Bachelor's degree
- At least 3 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Business Administration/Management, Computer Science/Information Systems, Finance, Mathematics/Statistics, Risk Management/Insurance
- At least one of the following: Current pursuit of or an active Certified Public Accountant (CPA) license

- Experience in record to report, procure to pay, order to cash cycles
- Supporting complex finance transformation initiatives
- In-depth knowledge of finance process optimization and financial systems implementations

- Implementing GenAI and digital finance transformation solutions
- Experience in managerial cost accounting and financial modeling
- Demonstrating analytical thinking and problem-solving in financial operations
- Utilizing financial data mining and forecasting techniques effectively
- Excelling in financial statement analysis and preparation
- Managing financial services operations with precision
- Embracing change and adapting to evolving industry trends

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $77,000 - $202,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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