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Data Analytics Jobs in Florence, MS (NOW HIRING)

Jackson, MS 39201 Duration: 12 Months (Onsite Role) The Medicaid Data Scientist will work with the client's data, business, and IT teams to develop advanced reports and conduct analysis of healthcare ...

SME Azure Data Engineer

Jackson, MS · Remote

$117K - $140K/yr

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 ...

Showing results 21-40

Data Analytics information

See Florence, MS salary details

$17

$39

$68

How much do data analytics jobs pay per hour?

As of Aug 10, 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 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, creating reports, and developing data models using tools like SQL, Excel, and Python or R. Strong analytical skills and knowledge of data visualization are essential for these positions.

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.

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 jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data specialist, or reporting analyst, focusing on collecting, processing, and analyzing data to support decision-making. They often use tools like Excel, SQL, and data visualization software, and may work in industries like finance, healthcare, marketing, or technology. Strong analytical skills and knowledge of statistical methods are essential for these positions.

What is the work for a data analytics?

A data analyst's work involves collecting, processing, and analyzing data to identify trends, support decision-making, and improve business outcomes. They use tools like Excel, SQL, and data visualization software, and often require strong analytical skills and attention to detail.

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.

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.

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 are popular job titles related to Data Analytics jobs in Florence, MS? For Data Analytics jobs in Florence, MS, the most frequently searched job titles are:
What cities near Florence, MS are hiring for Data Analytics jobs? Cities near Florence, MS with the most Data Analytics job openings:
Infographic showing various Data Analytics job openings in Florence, MS as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,623 per year, or $39.7 per hour.

$107K - $172K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 5 days ago


Blue Cross and Blue Shield of North Carolina rating

7.8

Company rating: 7.8 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

189th of 304 rated insurance


Job description

Job Description

The Senior Data Modeler designs, implements, and documents more complex data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases. These solutions support enterprise data management, business intelligence, machine learning, data science, and other business interests.

What You'll Do

  • Data Modeling: Creates fully attributed and documented conceptual, logical and physical models using ER and Dimensional modeling techniques.

  • Requirement Analysis: Analyzes data to verify business requirements and design the data models.

  • Data Architecture: Participates in project specific architectural working groups to provide expertise in modeling. Provides inputs on the data management of data assets in all data stores and governs the storage of data in different layers of the data stores. Provides architectural inputs on the data consumption layers, access and security requirements. Documents data flows from its origination and acquisition points. Oversee and govern the expansion of existing data architecture.

  • Standard Query Language: Generates first cut physical model DDL and SQL for views for implementation by the DBA.

  • Documentation: Creates, validates, and updates the data dictionary by coordinating with data governance team and business users.

  • Standards & Process: Facilitates model review sessions. Creates, follows, and revises the data modeling standards and guidelines for different data stores.

  • Data Modeling on Snowflake platform: Play a key role in designing the Silver and Gold analytical layers in Snowflake to build trusted analytical platform serving various business capabilities for different departments within the payer industry.

  • Leading and mentoring - Provide the expert knowledge to other data modelers, reviews work of other modelers to verify it meets enterprise standards and guidelines. Provides inputs on process improvements and maturing the data modeling practice.

What You Bring

  • Bachelor's degree or advanced degree (where required)

  • 5+ years of experience in related field.

  • In lieu of degree, 7+ years of experience in related field.

Preferred Experience

  • Experience leading other data modelers in a successful full life-cycle enterprise data warehousing effort

  • Healthcare domain experience preferred especially EHR/Clinical domain

  • Exposure working on Snowflake platform.

  • Experience and exposure with HL7 FHIR (Fast Healthcare Interoperability Resources) profiles and resources in order to map enterprise data or source data to appropriate FHIR resources.

  • Working experience on ERStudio or similar data modeling tool

  • Extensive experience of ER and Dimensional modeling concepts

WhatYou'llGet

  • The opportunity to work at thecutting edgeof health care delivery with a teamthat'sdeeply invested in the community

  • Work-life balance, flexibility, and the autonomy to dogreat work

  • Medical, dental, and vision coverage along withnumeroushealth and wellness programs

  • Parental leave and support plus adoption and surrogacyassistance

  • Career development programs and tuition reimbursement for continued education

  • 401k match including an annual company contribution

  • Learn more

WhereYou'llWork

Our Hybrid Flex approach is builton presencewith a purpose - giving you flexibility to work remotely with intentional in-person connection - that supports a workplacethat'sflexible, connected, and future focused.

In a Hybrid-Flex role,you'llwork in the office at least two days a week for collaboration and connection. In a Remote Flex role,you'llwork virtually, with a few in-office visits each year formeaningfulmoments that matter.

Whether your role is Hybrid Flex or Remote Flex depends on the nature of the work and distance from our Durham headquarters. We welcome candidates from outside the local area and in anystateslistedonthis job posting. Onsite expectations will be discussed during the interview process.

Salary Range

At Blue Cross NC, we take great pride in a fair and equitable compensation package that reflects market-price and our starting salaries are typically planned near the middle of the range listed. Compensation decisions are driven by factors including experience and training, specialized skill sets, licensure and certifications and other business and organizational needs.Our base salary is part of a robust Total Rewards package that includes an Annual Incentive Bonus*, 401(k) with employer match, Paid Time Off (PTO), and competitive health benefits and wellness programs.

*Based on annual corporate goal achievement and individual performance.

$107,901.00 - $172,642.00

Skills

Data Analysis, Data Architecture Development, Database Design, Data Designing, Data Dictionary, Data Engineering, Data Governance, Data Governance Framework, Data Mining, Data Model Design, Data Modeling, Data Science, Data Warehousing (DW), Enterprise Data, Requirements Analysis

_____________________________________________________________________
JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Blue Cross and Blue Shield of North Carolina in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All our career opportunities are published on https://bcbsnc.wd5.myworkdayjobs.com/en-US/BCBSNC. If you have already provided your personal information that you suspect is fraudulent activity, please report it to your local authorities. Any fraudulent activity should be reported to: HR.Staffing@BCBSNC.com.


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