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Entry Level Data Analyst Jobs in Springfield, TN

... analysis and managing commercial transactions to support financial objectives - Utilizing ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

In this role, you will leverage your skills to analyze complex concepts and interpret data to ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... informed - Applying analytical thinking to interpret data and inform project insights and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Data Analyst information

See Springfield, TN salary details

$12

$31

$58

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

As of Jul 15, 2026, the average hourly pay for entry level data analyst in Springfield, TN is $31.10, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $34.71 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.
What are the most commonly searched types of Data Analyst jobs in Springfield, TN? The most popular types of Data Analyst jobs in Springfield, TN are:
What are popular job titles related to Entry Level Data Analyst jobs in Springfield, TN? For Entry Level Data Analyst jobs in Springfield, TN, the most frequently searched job titles are:
What cities near Springfield, TN are hiring for Entry Level Data Analyst jobs? Cities near Springfield, TN with the most Entry Level Data Analyst job openings:
Infographic showing various Entry Level Data Analyst job openings in Springfield, TN as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 81% In-person, 4% Hybrid, and 15% Remote job distribution, with an average salary of $64,678 per year, or $31.1 per hour.
MSL/Sr. MSL, Rheumatology - TN, AL, FL Panhandle

MSL/Sr. MSL, Rheumatology - TN, AL, FL Panhandle

AbbVie

Nashville, TN • On-site, Remote

$124K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


AbbVie rating

8.7

Company rating: 8.7 out of 10

Based on 100 frontline employees who took The Breakroom Quiz

12th of 74 rated pharmaceutical


Job description

Company Description
About AbbVie
AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.
Job Description
The Medical Science Liaison (MSL), is a field based scientific expert that strategically supports the scientific and business objectives of a designated therapeutic area across the product life cycle. MSLs are the primary communicators of AbbVie science within a specific geography with healthcare professionals. MSLs are the field scientific experts on given disease states and treatment options within a designated therapeutic area. They combine strong business acumen, clinical expertise, market awareness, and serve as a conduit of information to a cross functional customer base internally within AbbVie. Based on therapeutic needs and product life cycles, teams may focus on certain responsibilities, including clinical development and pipeline support. This is the entry level MSL position in which the individual contributor will learn and develop the capabilities and responsibilities of the role as defined by AbbVie Medical Affairs.
Responsibilities
• Execute High Impact Territory Initiatives: Develops, executes and maintains high impact territory plans, including HCP and Investigator engagement plans in alignment with therapeutic area medical and scientific objectives with a focus on quality. Learns to use data and analytics to seek out and maximize opportunities within their territory.
• Execute High Impact Territory Initiatives: Identifies, gains access to, and develops professional customer centric based relationships with external experts (EEs) in therapeutic areas within assigned geography.
• Execute High Impact Territory Initiatives: Delivers on territory plan objectives, meets assigned project deadlines, and achieves annual functional goals. Generates and documents meaningful data point observations (DPOs).
• Execute High Impact Territory Initiatives: Practices core capabilities in segmentation, DPOs, as well as optimal resource utilization.
• Execute High Impact Territory Initiatives: Responsible for compliance with applicable Corporate and Divisional Policies and Procedure, including accurate and timely documentation as it relates to HCP interactions.
• Scientific Resource to External HCPs and other Stakeholders: Provides education relative to disease state, therapeutic landscape and AbbVie products across the product lifecycle to healthcare providers and researchers.
• Therapeutic Disease State, Landscape, and Asset Expert: Continually educates self on market issues/trends, product knowledge, and new therapeutic areas of interest as it pertains to specific business responsibilities, including creating awareness and relationships for AbbVie in the Medical community.
• Therapeutic Disease State, Landscape and Asset Expert: Supports research initiatives across development at the request of R&D to include, but not limited to, site evaluation and identification, recruitment, investigator meetings, external expert identification, and external collaboration management.
• Maintain Cross-Functional Field Partnerships: Creates, maintains, and collaborates in relationships with Cross-Functional partnerships, including, but not limited to: in field commercial teams, engagement with site management and monitoring and clinical research associates, the Therapeutic Area, and with the Medical Outcome Science Liaisons. Works with in-field commercial teams, as appropriate, to develop and execute Account plans designed to support and meet shared business objectives.
Qualifications
• Bachelor's degree in the health sciences from an accredited university required. Advanced degree preferred in a relevant scientific discipline. Doctorate strongly preferred in a health science or clinical discipline. Significant clinical and/or industry experience in relevant therapeutic area may be accepted in lieu of education requirements.
• Greater than or equal to 2 years of clinical, scientific/research, or industry related experience or equivalent preferred.
• The MSL must possess problem solving and analytic skills to be able to identify, and translate specific territory and corporate needs, into an action that will achieve objectives.
• Exhibits leadership attributes that align with company-wide initiatives such as: All for One AbbVie, Clear and Courageous, Make Possibilities Real, Agile and Accountable, and Decide Smart and Sure.
• Ability to quickly learn and apply foundational skills in Scientific Storytelling, Identifying Mobilizers, Medical Challenger, and Active Listening.
• An essential requirement of the position is to meet health care industry representative (HCIR) credentialing requirements to gain entry into facilities and organizations that in your assigned territory. These HCIR credentialing requirements may include, but are not limited to, background checks, drug screens, and proof of immunization/vaccination for various diseases.
• Must be willing to travel up to 75% of the time.
Additional Information
Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law:
  • The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of thisposting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location,and we may ultimately pay more or less than the posted range. This range may be modified in the future.
  • We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.
  • This job is eligible to participate in our long-term incentive programs.

Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission,incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless anduntil paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law.
AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled.
US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html
US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:
https://www.abbvie.com/join-us/reasonable-accommodations.html

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About AbbVie

Sourced by ZipRecruiter

AbbVie's mission is to discover and deliver innovative medicines that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas: immunology, oncology, neuroscience, eye care, virology, women's health, and gastroenterology, in addition to products and services across its Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Industry

Scientific research and development services

Company size

10,000+ Employees

Headquarters location

North Chicago, IL, US

Year founded

2013