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Remote Data Analyst Jobs in Spring Hill, FL (NOW HIRING)

... data, and analyze the applications of combined data. * Perform other duties as assigned Salary Range: $126,470 - $205,515 LOCATED ONSITE IN BIRMINGHAM, ALABAMA. NO OPTION FOR HYBRID OR REMOTE.

Enjoy the flexibility of remote work and the freedom to set your own schedule. This is an ... Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises ...

Analyze data and provide insights to support decision-making Qualifications: * Prior experience in ... Hybrid schedule (3 days onsite, 2 days remote) * Locations available: Reston, VA or Tampa, FL

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

We are seeking a full-time, remote Bill Review Systems Analyst. The Bill Review Systems Analyst is ... Perform data gathering, root cause analysis and performance trending in order to develop ...

We are seeking a full-time, remote Bill Review Systems Analyst. The Bill Review Systems Analyst is ... Perform data gathering, root cause analysis and performance trending in order to develop ...

Data Platform Engineer

Tampa, FL · Remote

$117K - $140K/yr

Work closely with data scientists, analysts, and application engineers to understand their needs ... All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town ...

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Remote Data Analyst information

See Spring Hill, FL salary details

$28.8K

$70.1K

$115.4K

How much do remote data analyst jobs pay per year?

As of Jul 20, 2026, the average yearly pay for remote data analyst in Spring Hill, FL is $70,111.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,000.00 and $82,300.00 per year, depending on experience, location, and employer.

Is there a high demand for data analysts?

The demand for data analysts remains strong across various industries due to the increasing reliance on data-driven decision making. Organizations seek professionals skilled in data visualization, statistical analysis, and tools like Excel, SQL, and Python, leading to steady job growth in this field.

What are the key skills and qualifications needed to thrive as a Remote Data Analyst, and why are they important?

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a degree in a quantitative field such as mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and visualization platforms such as Tableau or Power BI is typically required. Excellent communication, self-motivation, and time management are crucial soft skills for collaborating remotely and presenting insights effectively. These skills ensure accurate data-driven decision-making and effective remote teamwork in a digital work environment.

Can I do a data analyst job remotely?

Yes, many data analyst positions are available for remote work, especially those that involve analyzing data, creating reports, and using tools like Excel, SQL, and data visualization software. Remote data analysts typically need strong communication skills and proficiency with relevant software to collaborate effectively with teams online.

Is 40 too late for data science?

For a remote data analyst role, age is generally not a barrier; many professionals transition into data science or analytics later in their careers. Success depends on acquiring relevant skills such as programming, statistics, and tools like SQL or Python, regardless of age. Continuous learning and building a strong portfolio can help late entrants compete effectively in the field.

How do Remote Data Analysts typically collaborate with team members and stakeholders given the virtual work environment?

Remote Data Analysts often rely on digital communication tools such as Slack, Microsoft Teams, and Zoom to stay connected with colleagues and stakeholders. They participate in regular virtual meetings, share dashboards or reports via cloud-based platforms, and provide data-driven insights to support decision-making. Successful remote analysts proactively communicate their findings, clarify requirements, and coordinate with cross-functional teams such as IT, marketing, or finance to ensure alignment on project goals and deliverables.

What does a Remote Data Analyst do?

A Remote Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions, all while working from a location outside of a traditional office. They use statistical tools and software to interpret complex datasets, identify trends, and generate reports. Remote Data Analysts collaborate with team members via digital communication platforms and often present their findings to stakeholders to guide strategy and operations. Their work is essential in industries such as finance, healthcare, marketing, and technology, where data-driven decisions are crucial.

What is the difference between Remote Data Analyst vs Remote Data Scientist?

AspectRemote Data AnalystRemote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQL, or TableauBachelor's or Master's in Data Science, Computer Science, or related; certifications in Python, R, machine learning
Work EnvironmentPrimarily office-based or remote, focusing on data analysis and reportingPrimarily remote, involving complex data modeling and predictive analytics
Employer & Industry UsageUsed across finance, marketing, healthcare, and retail sectorsCommon in tech, finance, and research industries

Remote Data Analysts focus on interpreting data, creating reports, and supporting decision-making, while Remote Data Scientists develop models, perform advanced analytics, and work on predictive insights. Both roles require strong analytical skills, but Data Scientists typically have more technical expertise in programming and machine learning.

Will AI replace data analyst?

AI tools can automate routine data processing and analysis tasks, but the role of a data analyst involves interpreting insights, understanding context, and communicating findings, which currently require human judgment. Data analysts will likely evolve to work alongside AI, focusing more on complex analysis, strategy, and decision-making that AI cannot fully replicate.

What Does a Remote Data Analyst Do?

Remote data analysts use a range of methods to chart, examine, and analyze data for their clients. Unlike in-house data analysts, remote data analysts, work from home or a different location outside of the office. As a remote data analyst, your job is to evaluate a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. Once the analysis is complete, you create reports for management to use to make critical decisions; this is why remote data analysts need to confirm the accuracy of the data. You may also need to present your reports to stakeholders.

What are the most commonly searched types of Data Analyst jobs in Spring Hill, FL? The most popular types of Data Analyst jobs in Spring Hill, FL are:
What job categories do people searching Remote Data Analyst jobs in Spring Hill, FL look for? The top searched job categories for Remote Data Analyst jobs in Spring Hill, FL are:
What cities near Spring Hill, FL are hiring for Remote Data Analyst jobs? Cities near Spring Hill, FL with the most Remote Data Analyst job openings:
Infographic showing various Remote Data Analyst job openings in Spring Hill, FL as of July 2026, with employment types broken down into 4% Internship, 88% Full Time, 4% Temporary, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $70,111 per year, or $33.7 per hour.
MANAGER-DATA SCIENTIST - OPHTHALMOLOGY

MANAGER-DATA SCIENTIST - OPHTHALMOLOGY

UAB

Tampa, FL • On-site, Remote

$126K - $205K/yr

Other

Re-posted 23 days ago


UAB Medicine rating

7.3

Company rating: 7.3 out of 10

Based on 187 frontline employees who took The Breakroom Quiz

302nd of 886 rated healthcare providers


Job description

We are seeking a data science manager to assist us with developing and managing a large repository of electronic health record data of patients with ocular diseases. This position will use specific computers programs to extract relevant clinical variables from the EPIC electronic health record, clean and organize the data in a format to facilitate analysis of the data.

They will also assist with linking data from the repository to other internal and external data sources including working with IT staff at other academic institutions to facilitate data extraction from their databases to incorporate such data into the repository. They will spend most of their time working with clinicians and biostatisticians in the Department of Ophthalmology and Visual Sciences.

Manages a team of data scientist professionals that conduct research and develop tools and processes that improve the outcomes and quality of research projects. Recruits, hires, trains, and coaches staff with very high level analytical and technical skills. Determine innovative ways to improve data and search quality, and predictive capabilities. Develop prototypes, proof of concepts, algorithms, predictive models, and custom analysis. Design and build new data set processes for modeling, data mining, and production purposes.

Duties and Responsibilities:

  • Research discrepancies and resolve obstacles, facilitating continuous improvement and progress. - analyzing data based on findings of others to either support those findings or to explain why something is the way it is. - Including looking into why a file may fail our pipeline. Findings from this may highlight an additional step we can add to our process or a modification to a current step.
  • Engage with external sites clinical and technical leads across various roles both internally and externally. - reaching out to determine their status, discussing obstacles their running into, providing feedback, providing instruction, or anything else that comes up.
  • Function as project manager, tracking the status of active sites and ensuring the repository is maintained with current data while assisting approximately 20 additional sites in achieving 'active' status.
  • Manage a team of technical professionals, building and enhancing a repository for ophthalmologic data sourced from over 25 sites. - This involves keeping up with the tasks staff are working, keeping everyone focused on the current goal, and brainstorming ideas together
  • Develop, maintain, and utilize a comprehensive database to monitor the status of multiple projects. - Besides our database containing the repository, I developed a separate database to keep track of sites, batches of data, reviews of data and notes regarding either the site and/or their data. - Reports can be produced from this database to provide feedback to sites regarding a batch of data or internal reports showing our internal review, notes about conversations or findings based on those reviews, the feedback provided to sites and updates from the sites. - The database also allows the ability to keep track of staff tasks. - This database has evolved over time and is still evolving based on continuous variation in how we work.
  • Identify and automate manual efforts to streamline data pipelines. - This also includes explaining to others what's needed so they can automate steps.  
  • Establish familiarity with external data sources, determine relationships with internal data, and analyze the applications of combined data.
  • Perform other duties as assigned

Salary Range: $126,470 - $205,515

LOCATED ONSITE IN BIRMINGHAM, ALABAMA. NO OPTION FOR HYBRID OR REMOTE.

Doctorate degree in a related field and seven (7) years of related experience OR Master's degree in a related field and nine (9) years of related experience required. Work experience may NOT substitute for education requirement. 

Preferred:

  • Proficiency certification with EPIC training
  • 5-10 years of experience directly related to the responsibilities specified
  • Proficiency with Oracle databases, PL/SQL, or MS SQL Server T-SQL
  • Knowledge of Tableau, SAS, R, a plus
     

UAB is an Equal Employment/Equal Educational Opportunity Institution dedicated to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, sex (including pregnancy), genetic information, age, disability, and veteran's status. As required by Title IX, UAB prohibits sex discrimination in any education program or activity that it operates. Individuals may report concerns or questions to UAB's Assistant Vice President and Senior Title IX Coordinator. The Title IX notice of nondiscrimination is located at uab.edu/titleix.


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