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Data Analytics Jobs in Florence, MS (NOW HIRING)

Trustmark

Enterprise Data Engineer

Ridgeland, MS · On-site

$80 - $120/hr

Analytical thinking skills * Problem-solving skills * Master's degree relevant to data or computer sciences or equivalent certification preferred. Physical Requirements/Working Conditions: Must be ...

Trustmark Bank

Enterprise Data Engineer

Ridgeland, MS · On-site +1

$99K - $119K/yr

Analytical thinking skills * Problem-solving skills * Master's degree relevant to data or computer sciences or equivalent certification preferred. Physical Requirements/Working Conditions: Must be ...

Trustmark Bank

Enterprise Data Engineer

Ridgeland, MS · On-site +1

$99K - $119K/yr

Analytical thinking skills * Problem-solving skills * Master's degree relevant to data or computer sciences or equivalent certification preferred. Physical Requirements/Working Conditions: Must be ...

TSMG

AI/ML Data Contributor

Jackson, MS · On-site

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

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All JobsData Analytics JobsData Analytics Jobs in Florence, MS

Data Analytics information

See Florence, MS salary details

$17

$39

$68

How much do data analytics jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data analytics in Florence, MS is $39.72, according to ZipRecruiter salary data. Most workers in this role earn between $31.92 and $45.00 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What cities near Florence, MS are hiring for Data Analytics jobs?

Cities near Florence, MS with the most Data Analytics job openings:

Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Florence, MS as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $82,623 per year, or $39.7 per hour.

Senior Azure Data engineer

Accord Technologies Inc.

Jackson, MS • Remote

$117K - $140K/yr

Contractor

Re-posted 14 days ago

Job description

Title: Azure Data Engineer
Location: Jackson, MS (Remote)
Duration: 60 months
Position type: Contract.
 
Job Description and Qualifications:
Design, build, and maintain Azure-based data pipelines using Synapse Analytics to support MSIS and
related education systems.
 Develop and optimize ETL/ELT processes to ingest, transform, and validate K–12 education data from
multiple source systems.
 Implement and manage data models, views, and performance tuning in Azure SQL and Synapse
environments.
 Monitor, troubleshoot, and resolve data pipeline and performance issues.
 Document data flows, transformations, and technical standards.
 Collaborate with analysts, reporting teams, and vendors to deliver timely, accurate data for federal and
state reporting
A minimum of 10 years of experience in the following:
 Advanced development and orchestration of data pipelines using Azure Data Factory/Synapse or
similar cloud based platforms. (pipelines, triggers, integration runtimes, parameterization).
Data warehousing and analytics engineering using Azure Synapse Analytics or similar cloud based
platforms (dedicated and serverless SQL pools).
 Strong T-SQL skills, including query optimization, indexing strategies, stored procedures, and
performance tuning.
 Implementation of ETL/ELT frameworks, including incremental loads, CDC patterns, and error handling.
 Integration of structured and semi-structured data (CSV, JSON, XML) from APIs, SFTP, and vendor
systems.
 Source control and deployment practices using Azure DevOps, Git, and CI/CD pipelines.
Experience with student information management systems and K-12 data and reporting
 Any state govt education department domain experience would be preferred.
 Experience with Common Education Data Standards (CEDS)
 Azure Data Engineer Associate certification