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Assistant Data Analyst Jobs in Springfield, TN (NOW HIRING)

Senior Data Analyst (Finance)

Nashville, TN · On-site

$81K - $102K/yr

... * Assist in preparing claims-based data and analysis that supports the monthly revenue recognition ... close process * Help reconcile claims data against financial records, flagging and investigating ...

The Junior Data Analyst will support the operational performance monitoring and reporting functions ... * Assist in the collection, organization, cleaning, and validation of call center operational data ...

The Junior Data Analyst will support the operational performance monitoring and reporting functions ... * Assist in the collection, organization, cleaning, and validation of call center operational data ...

The Junior Data Analyst will support the operational performance monitoring and reporting functions ... * Assist in the collection, organization, cleaning, and validation of call center operational data ...

Data Scientist

Nashville, TN · On-site

$60K/yr

Data Acquisition, Cleaning & Preprocessing * * Assist in collecting, validating, and preprocessing ... Exploratory Data Analysis (EDA) * * Conduct exploratory data analysis to identify trends, outliers ...

Key Responsibilities * Assist in the development of a multiyear Data, Analytics, and AI roadmap , aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with ...

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Assistant Data Analyst information

See Springfield, TN salary details

$26.4K

$67.7K

$129.4K

How much do assistant data analyst jobs pay per year?

As of Aug 28, 2026, the average yearly pay for assistant data analyst in Springfield, TN is $67,687.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,300.00 and $78,900.00 per year, depending on experience, location, and employer.

What does an assistant data analyst do?

An Assistant Data Analyst supports data collection, cleaning, and analysis tasks to help organizations make informed decisions. They work under the guidance of senior analysts to prepare reports, visualize data trends, and ensure the accuracy of data sets. Their responsibilities may include using tools like Excel, SQL, or Python to process data, as well as communicating findings to different departments. Assistant Data Analysts play a crucial role in ensuring that data-driven projects run smoothly and efficiently.

What are the key skills and qualifications needed to thrive as an assistant data analyst, and why are they important?

To thrive as an Assistant Data Analyst, you need a solid understanding of statistics, data interpretation, and proficiency in data management, usually backed by a degree in a quantitative field. Familiarity with tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Strong attention to detail, problem-solving abilities, and effective communication skills help you stand out in this role. These competencies ensure accurate data analysis, clear reporting, and valuable insights that support informed business decisions.

What are some common challenges an assistant data analyst might face when starting in this role?

Assistant Data Analysts often encounter challenges related to handling large datasets, learning new analytical tools, and ensuring data accuracy. Adjusting to the fast-paced environment where priorities can shift quickly is also common, as is collaborating with various departments to gather relevant data. Over time, gaining familiarity with organizational data sources and building strong communication with senior analysts helps overcome these initial hurdles.

What is the difference between Assistant Data Analyst vs Data Analyst?

AspectAssistant Data AnalystData Analyst
Required CredentialsBachelor's degree in related field, basic knowledge of data toolsBachelor's or higher, proficiency in data analysis software
Work EnvironmentSupportive team, entry-level tasks, supervised rolesIndependent analysis, project ownership, more complex tasks
Employer & Industry UsageEntry-level roles across industries like finance, healthcare, marketingMid-level roles, often with more responsibility and specialization

The main difference between an Assistant Data Analyst and a Data Analyst lies in experience and responsibility. Assistant Data Analysts typically handle basic data tasks under supervision, while Data Analysts perform more complex analysis independently. Both roles require similar educational backgrounds, but Data Analysts usually have more experience and technical skills.

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 job categories do people searching Assistant Data Analyst jobs in Springfield, TN look for?

The top searched job categories for Assistant Data Analyst jobs in Springfield, TN are:

What cities near Springfield, TN are hiring for Assistant Data Analyst jobs?

Cities near Springfield, TN with the most Assistant Data Analyst job openings:

Senior Data Analyst (Finance)

Upperline Health Inc

Nashville, TN • On-site

$90 - $125/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 13 days ago


Upperline Health rating

3.5

Company rating: 3.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Upperline is headquartered in Nashville with operations across the country.

Founded in 2017, Upperline Health is the nation's largest multispecialty physician group dedicated to transforming value-based care (VBC). We are redefining how care is delivered by integrating specialty care and primary care into a patient-centered and fully coordinated VBC model – enabling earlier intervention, improving outcomes, and enhancing quality of life for our patients.

As we continue to expand, we remain committed to making high-quality, coordinated care more accessible and effective—while creating opportunities for our team to make a meaningful impact on the lives of the patients we serve.

About the Senior Data Analyst

Our organization is in a period of high growth through acquisitions. As a result, our data infrastructure, finance function, and financial processes are also growing in complexity. We are seeking a Senior Data Analyst to support the Director of Finance - Revenue Analytics, who currently serves as the critical link between Finance, Accounting, and claims‑level data across our organization.

This role will provide hands‑on support for Snowflake and Athena EMR‑based claims data management, querying, and analyses that underpin monthly revenue recognition. Each acquisition introduces new source systems, new claims formats, new data‑quality issues, and new reconciliation work — all of which compounds the workload of monthly revenue recognition. This role is being created to absorb and manage that growing volume of data maintenance, cleanup, and analysis work, to enable the Director to focus on higher‑level analyses, cross‑functional coordination with Finance and Accounting, and the onboarding of newly acquired entities.

What You’ll Do:
  • Build and maintain SQL queries, views, and data pipelines to support recurring and ad hoc reporting needs
  • Query, cleanse, validate, and maintain large‑scale healthcare claims datasets in Snowflake, sourced from Athena EMR and integrated systems
  • Identify and resolve data quality issues, gaps, and inconsistencies, particularly those introduced by newly acquired entities and disparate source systems
  • Perform detailed claims analysis, using data sets including but not limited to: eligibility, utilization, and paid/allowed amounts, to support financial and operational reporting
  • Assist in preparing claims‑based data and analysis that supports the monthly revenue recognition close process
  • Help reconcile claims data against financial records, flagging and investigating discrepancies before they reach Finance and Accounting
  • Support the Director in translating claims‑level detail into a format Finance and Accounting stakeholders can use and trust
  • Support the onboarding of claims data from newly acquired healthcare entities into existing Snowflake data structures
  • Assist in mapping, standardizing, and validating new data sources against existing schemas and business rules
  • Help document data lineage, definitions, and known issues as the data environment grows in complexity
  • Work closely with the Director as a direct extension
  • Collaborate with cross‑functional teams—including Finance, Accounting, Operations, and IT—to understand business needs and deliver accurate, timely analytics
  • Communicate analytical findings and recommendations effectively to both technical and non‑technical stakeholders
Required Skills and Competencies:
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Healthcare Informatics, Finance, or a related field, or equivalent combination of education and experience
  • 3-5+ years of experience in data analysis, with substantial hands‑on SQL experience (Snowflake strongly preferred)
  • Working knowledge of healthcare industry data is heavily preferred, including data used by health insurance companies, multi‑site healthcare providers, and/or risk‑bearing entities
  • Direct experience working with healthcare claims‑level data, ideally from EMR‑sourced systems such as Athena
  • Demonstrated ability to clean, structure, and troubleshoot complex, imperfect datasets
  • Experience supporting financial or accounting processes with data analysis (revenue recognition experience is a big plus)
  • Strong attention to detail and comfort working with ambiguity, given the evolving nature of an acquisitive business
  • Ability to work independently while closely supporting a senior team member’s day‑to‑day priorities
  • Experience supporting or participating in M&A data integration or system migrations (preferred)
  • Familiarity with claims adjudication concepts — eligibility, coding, paid vs. allowed amounts, utilization metrics (preferred)
  • Exposure to BI/visualization tools (e.g., Tableau, Power BI, Looker) for presenting analysis to Finance stakeholders (preferred)
  • This position is primarily remote, with occasional travel to the office for team meetings, training, collaboration sessions, and other business‑critical activities as needed
What Success Looks Like in the First 6 Months:
  • Independently manages recurring claims data cleanup, validation, and query maintenance in Snowflake
  • Materially reduces the Director's day‑to‑day data maintenance burden, allowing them to focus on higher‑value analysis and stakeholder management
  • Becomes a trusted contributor to the monthly revenue recognition process, with Finance and Accounting confident in the accuracy of supporting data
  • Actively supports the smooth integration of at least one newly acquired entity's claims data into existing systems
Compensation

Compensation is commensurate to compensation for similar positions in the region and based on prior training and experience

Comprehensive benefit options include medical, dental and vision, 401K, and PTO.

Job Type: Full‑time

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor.

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