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Entry Level Data Analyst Jobs in High Ridge, MO (NOW HIRING)

The Audit Group, Inc.

Recovery Analyst

Chesterfield, MO · On-site

... and data analytics. Our Team Members are intelligent, detail oriented, process driven, and ... About You As an Analyst in this entry-level role, you will play a key role in reviewing purchasing ...

Pwc

Data Engineer - Senior Associate

Saint Louis, MO

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Stellar IT Solutions

AWS Data Engineer

Saint Louis, MO · On-site

$108K - $130K/yr

This is an excellent opportunity for entry level candidates and early-career professionals who want ... Excellent analytical, communication, and problem-solving skills. Preferred Skills * Experience with ...

New

AAA USA

Structural Analysis Engineer

Saint Louis, MO · On-site

$70 - $75/hr

Develop and review stress reports, technical documentation, and certification data * Collaborate ... Experience in structural or stress analysis (typically 2+ years for entry-level roles) * Knowledge ...

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Entry Level Data Analyst information

See High Ridge, MO salary details

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How much do entry level data analyst jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for entry level data analyst in High Ridge, MO is $30.07, according to ZipRecruiter salary data. Most workers in this role earn between $19.33 and $33.61 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Entry level data analysts and data scientists can start at any age, including 40, as long as they develop relevant skills such as programming, statistics, and data visualization. Many professionals successfully transition into data roles later in their careers by gaining certifications and practical experience.

Can you work as a data analyst without experience?

Entry level data analyst positions often do not require prior professional experience, but having skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

What does an Entry Level Data Analyst do?

An Entry Level Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They often work with spreadsheets, databases, and data visualization tools to identify trends and generate reports. Typical tasks include cleaning data, creating charts or dashboards, and supporting senior analysts or business teams with actionable insights. This role is ideal for individuals with strong analytical skills and a keen attention to detail, even if they have limited professional experience.

What is the difference between Entry Level Data Analyst vs Data Scientist?

AspectEntry Level Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related field; stronger programming and statistical skills
Work EnvironmentEntry-level roles in business, finance, marketing, or healthcare sectors; focus on data reporting and visualizationMore advanced roles often in tech, research, or large organizations; focus on predictive modeling and complex analysis
Employer & Industry UsageCommon in various industries for routine data analysis tasksUsed in industries requiring advanced analytics, machine learning, and predictive insights

While Entry Level Data Analysts focus on basic data collection, cleaning, and reporting, Data Scientists handle complex modeling, machine learning, and predictive analytics. The roles differ mainly in skill level, complexity, and scope of work, but both require a strong foundation in data handling and analysis.

What are some common challenges entry level data analysts face when transitioning from academic projects to real-world business environments?

Entry level data analysts often find that real-world datasets are messier and less structured than those in academic settings, requiring more time spent on data cleaning and preparation. Additionally, business environments may prioritize actionable insights over purely statistical rigor, so learning to communicate findings to non-technical stakeholders is crucial. Collaborating within cross-functional teams and managing multiple deadlines can also be a new challenge, but these experiences help analysts develop strong problem-solving and communication skills that are valuable for career growth.

Can I be a data analyst with no experience?

Entry level data analyst positions often do not require prior professional experience, but having foundational skills in Excel, SQL, or data visualization tools can improve your chances. Many employers value relevant coursework, certifications, or internships that demonstrate your ability to analyze data effectively.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, communication, and domain knowledge that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace entry-level data analysts.

What are the 4 types of data analyst?

Data analysts can be categorized into four main types: business analysts, who focus on understanding business needs; data scientists, who develop advanced models and algorithms; data engineers, who build and maintain data pipelines; and operations analysts, who optimize processes using data insights. Entry-level data analysts often start with business or operations analysis, developing skills in tools like Excel, SQL, and visualization software.

What Does an Entry-Level Data Analyst Do?

The job duties of an entry-level data analyst include working to collect, manage, and analyze data. In this career, your responsibilities often revolve around performing research on business or industry data to define trends or assess performance in a particular sector. As an entry-level data analyst, you usually work as part of a team of analysts and statisticians who analyze data and then create reports to show their findings to relevant executives, stakeholders, and managers. In some situations, this analysis team may recommend actions based on research results.

Can a data analyst be entry-level?

Yes, entry-level data analyst positions are common and typically require basic skills in data analysis tools like Excel, SQL, or Python, along with a relevant degree such as in statistics, mathematics, or computer science. These roles often focus on learning and developing analytical skills under supervision and may require little to no prior professional experience.

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

To thrive as an Entry Level Data Analyst, you need strong analytical thinking, basic statistical knowledge, and proficiency in data management, typically supported by a bachelor’s degree in a quantitative field. Familiarity with tools such as Microsoft Excel, SQL, and data visualization platforms like Tableau or Power BI is commonly required. Attention to detail, effective communication, and a willingness to learn help set candidates apart in this role. These skills are vital for accurately interpreting data, generating actionable insights, and clearly conveying findings to support business decisions.
More about Entry Level Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in High Ridge, MO? The most popular types of Data Analyst jobs in High Ridge, MO are:
What cities near High Ridge, MO are hiring for Entry Level Data Analyst jobs? Cities near High Ridge, MO with the most Entry Level Data Analyst job openings:
Entry Level Data Analyst jobs near you
Infographic showing various Entry Level Data Analyst job openings in High Ridge, MO as of July 2026, with employment types broken down into 46% Full Time, 8% Part Time, 8% Temporary, and 38% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $62,540 per year, or $30.1 per hour.

Recovery Analyst

The Audit Group, Inc.

Chesterfield, MO • On-site

Full-time

Re-posted 22 hours ago

Job description

Salary: $45,000 per year

RECOVERY ANALYST CHESTERFIELD, MO

About Us

For over 37 years, TAG has proudly dedicated itself to partnering with healthcare systems nationwide to save money and make better purchasing and payment decisions through process assessment and data analytics. Our Team Members are intelligent, detail oriented, process driven, and dependable people motivated by a common company mission: Being Health Systems Trust-WORTHY partner.

About You

As an Analyst in this entry-level role, you will play a key role in reviewing purchasing and payment activity, identifying discrepancies, and helping ensure our clients receive accurate billing and proper credit for their purchases. You will analyze financial and contractual data, work with vendor-provided information, and collaborate across TAG teams to deliver high-quality results.

Your responsibilities will include researching transaction data, validating information, and communicating with vendors and other stakeholders to clarify details and support the resolution of outstanding issues. Successful candidates will bring strong analytical skills, professional communication abilities, and the organization to manage multiple projects simultaneously.

The Analyst position is a pivotal entry point at TAG, offering comprehensive exposure to our operations, clients, and data-driven services. This role provides a strong foundation for individuals who demonstrate high performance, problem-solving ability, intellectual curiosity, and initiative. As TAG continues to grow and evolve, this foundational experience supports informed transitions into more advanced or leadership roles for those who are ready and willing to step into greater responsibility when new opportunities arise.


This is the perfect role for an energetic self-starter who thrives on challenge and enjoys making a tangible difference for our clients.

**This position is a hybrid (in office & remote) role. Candidates must be able to work in the corporate office in Chesterfield, MO a minimum of three (3) days per week. During an approximate 30-day probationary period, in-office attendance will be full-time.


Key Responsibilities

  1. Analyze Purchasing and Payment Data: Review transactions, contracts, and vendor records to identify and assess potential discrepancies
  2. Reconcile and Organize Information: Gather, verify, and align data from internal systems, vendor statements, and client documentation
  3. Communicate with Vendors: Engage professionally to obtain clarifications, resolve questions, and document responses
  4. Prepare Findings Summaries: Create clear, accurate documentation of research results for client reporting or next steps
  5. Manage Multiple Projects: Maintain organized records and meet deadlines while balancing several assignments simultaneously
  6. Collaborate Across Teams: Work with internal colleagues to ensure timely follow-up and resolution of open issues
  7. Support Process Improvement: Identify opportunities to improve operational workflows and enhance efficiency
  8. Continuous Learning: Participate in required training and individual development opportunities to enhance skills and stay ahead of the curve

Qualifications, Skills, & Abilities

Required:

  • Bachelors degree with strong academic record
  • Ability to decipher invoices, account statements, and other purchasing and payment documents
  • Strong Attention to Detail crucial to spotting errors and inconsistencies
  • Moderate knowledge and understanding of Excel and Power BI software
  • Initiative in problem solving, with strong logic and reasoning skills
  • Excellent oral and written communication skills to interact with vendors and clients courteously and professionally
  • Able to prioritize, organize, and complete multiple tasks as directed

Preferred:

  • Knowledge of procurement processes, including purchase orders and invoices
  • Familiarity with goods and services acquired in the supply chain
  • Understanding of accounts payable processes, aging reports, and payments

Performance Metrics

  • Meet assigned project timelines and quality standards
  • Deliver accurate and complete documentation of findings
  • Maintain positive and professional vendor relationships


TAG CORE VALUES
Integrity Do whats right, always.
Service Prioritize clients, colleagues, and mission with care and value.
Teamwork Collaborate openly, respect differences, and achieve shared goals.
Growth Mindset Embrace change, learn, improve.
Accountability Own it. Deliver it.


TAG offers a full benefit packages, bonus, and performance incentives, professional development opportunities, and hybrid remote work flexibility.

TAG, Inc. is an Equal Opportunity Employer and prohibits discrimination or harassment of any kind.