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

Bruker

Scientist, Bioinformatics

Saint Louis, MO

... an entry-level Bioinformatician to join our R&D department. The successful candidate will work with their Bioinformatic team leader to establish Bioinformatic data analysis solutions for our ...

ablelight

Behavior Technician (BT) - Entry Level

Mehlville, MO · On-site

$17 - $22.25/hr

... data using Central Reach software. · Maintains client confidentiality and client dignity. · ... Some understanding of Applied Behavior Analysis (ABA) Lic or Cert Ability: to obtain Registered ...

Ethos Risk Services

Entry-Level Investigator

Saint Louis, MO · On-site

$43K - $53K/yr

At the forefront of, we provide accurate data and actionable insights that translate into better ... Conduct preliminary investigations using social media and analyzing database research. * Field ...

SPECTRUM

Entry Level Sales

Herculaneum, MO · On-site

$27K/yr

... speed data and communication solutions. Your efforts will drive meaningful connections and ... Conduct consultative needs analyses to tailor product recommendations for each prospective customer

New

TERRACON

Assistant Scientist

Saint Louis, MO · On-site

... * Entry level scientific professional responsible for gathering data and information to be ... Transport material samples or documents to the lab for further testing and analysis. * Maintains ...

TERRACON

Assistant Scientist

Saint Louis, MO

... * Entry level scientific professional responsible for gathering data and information to be ... Transport material samples or documents to the lab for further testing and analysis. * Maintains ...

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All JobsData Analyst JobsEntry Level Data Analyst JobsEntry Level Data Analyst Jobs in High Ridge, MO

Entry Level Data Analyst information

See High Ridge, MO salary details

$12

$30

$56

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.
Scheduling Coordinator (Entry-Level)

Scheduling Coordinator (Entry-Level)

Katapult Network

Maplewood, MO

$38K - $42K/yr

Full-time

Posted 3 days ago

New

Job description

Bachelor's Degree Required to Apply

Katapult Network is designed to help college graduates with zero to two years of professional experience find their next professional career opportunity. We focus on helping recent college graduates, with no experience, get access to full-time, entry-level opportunities with some of the Nation's top employers. Our clients include ground-breaking start-up companies and well-established billion-dollar organizations who want to find their next generation of talent.

The Job:

We are currently recruiting an entry-level Scheduling Coordinator. This is a great opportunity for any recent graduate or emerging professional looking to start their career in the healthcare field. The Scheduling Coordinator is the face of the organization so providing top-level customer service is key. A best-fit candidate should be collected, professional, and comfortable with all modes of communication. This position offers competitive pay and benefits as well as strong opportunities for growth.

What You Will Be Doing An A Scheduling Coordinator:

  • Provide professional, friendly customer service at all times
  • Confer with customers by telephone or in-person to provide information about products and services, take or enter orders, cancel accounts, or obtain details of complaints
  • Communicate appointment details with clients and answer questions as needed
  • Coordinate the scheduling of appointments and consultations
  • Manage logistical details for services and paperwork
  • Maintain records and client contact database
  • Check to ensure that appropriate changes were made to resolve customers' problems
  • Determine charges for services requested, collect deposits or payments, or arrange for billing

Our Ideal Scheduling Coordinator Candidate Has:

  • Discretion: act with prudence and circumspection, especially in the handling of confidential and private documents/data
  • Customer service orientation: proactively assist clients in a professional, friendly manner in order to create the best possible experience by building relationships, understanding quality standards for service, and utilizing customer needs assessments
  • Self-control: Keep a positive attitude in the face of criticism and maintain composure, keeping emotions in check and avoiding aggressive behavior, even in very difficult situations.
  • Critical thinking: use logic and reasoning to identify the strengths and weaknesses of alternative solutions, conclusions, or approaches to problems

Requirements To Be A Scheduling Coordinator:

  • Bachelor's degree

Katapult Network is an equal-opportunity employer and celebrates diversity in all of its forms. People of all identities and backgrounds are encouraged to apply.

We're social! Follow us on:

Instagram: @katapultnetwork

Facebook: https://www.facebook.com/KatapultNetwork/

LinkedIn: https://www.linkedin.com/compa...

Other job titles we would consider: Scheduling Assistant, Scheduling Specialist, Scheduling Analyst, Administrative Assistant, Executive Assistant, Operations Assistant, Office Admin, Admin Assistant, Office Manager, Office Assistant, Corporate Assistant, Operations Manager, Receptionist, Front Desk Receptionist, General Office Assistant, Office Administrative Assistant, Receptionist/Office Assistant, Customer Service/Office Assistant, HR Assistant, Human Resources Assistant, Corporate Administrative Assistant, Secretary, Office Support, Office Support Assistant.

Employment Type: FULL_TIME

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