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Data Analytics Jobs in Long Beach, MS (NOW HIRING)

ECS

MetOcean Data Analyst I

MS · On-site

Everforth ECS is seeking an entry level MetOcean Data Analyst I to work onsite at Stennis Space Center, MS. This is an entry level position and will be supporting The National Data Buoy Center, (NDBC ...

Koniag, Inc.

Data Scientist

Stennis Space Center, MS · On-site

Process and analyze large-scale geospatial datasets * Create data visualization and reporting solutions * Conduct exploratory data analysis * Develop and maintain analytical pipelines * Collaborate ...

City of Gulfport

RTIC Analyst

Gulfport, MS · On-site

$47K/yr

Education and Experience Bachelor's degree in Criminal Justice, Criminology, Data Analytics Statistics, Information Systems, Public Administration or a closely related field; or an equivalent ...

City of Gulfport

RTIC Analyst

Gulfport, MS

$47K/yr

Education and Experience Bachelor's degree in Criminal Justice, Criminology, Data Analytics Statistics, Information Systems, Public Administration or a closely related field; or an equivalent ...

City of Gulfport, MS

RTIC Analyst

Gulfport, MS · On-site

$47K/yr

Education and Experience Bachelor's degree in Criminal Justice, Criminology, Data Analytics Statistics, Information Systems, Public Administration or a closely related field; or an equivalent ...

Element Materials Technology

Data Processor

Biloxi, MS · On-site

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports * Attending project meetings, schedule control, submit for permits for on ...

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All JobsData Analytics JobsData Analytics Jobs in Long Beach, MS

Data Analytics information

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$24

$54

$93

How much do data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data analytics in Long Beach, MS is $54.30, according to ZipRecruiter salary data. Most workers in this role earn between $43.65 and $61.54 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 job categories do people searching Data Analytics jobs in Long Beach, MS look for? The top searched job categories for Data Analytics jobs in Long Beach, MS are:
What cities near Long Beach, MS are hiring for Data Analytics jobs? Cities near Long Beach, MS with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Long Beach, MS as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $112,954 per year, or $54.3 per hour.

Director Data and Analytics Biloxi 5134

KEESLER FEDERAL

Biloxi, MS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

JOIN THE KEESLER FEDERAL CREDIT UNION TEAM!
Keesler Federal Credit Union team members enjoy competitive salaries and a wide range of benefits, some of which include:
  • Medical, dental, and vision insurance
  • Section 125 Flexible Spending Accounts for Health Care and Dependent Care expenses
  • Employee and Dependent Life Insurance
  • 401(k) Retirement Plan with 100% match on the first 5% contributed by you
  • Paid Leave
  • Tuition Reimbursement and Competitive Scholarships
  • Short-Term & Long-Term Disability Benefits
  • Employee Assistance Program

WE CURRENTLY DO NOT SPONSOR WORK RELATED VISAS
Position: Director of Data and Analytics
Department: Enterprise Applications
Reports to: VP - Enterprise Applications
FLSA: Exempt
Summary:
The Director of Data and Analytics will be responsible for establishing and leading the credit union's enterprise analytics strategy, enabling trusted, timely, and actionable data insights across all departments. A key part of this role is to create or enable measurable value in the enterprise, as it related to Data and Analytics. This senior leader will manage a growing team of analysts and engineers while also championing data governance, platform modernization, and cross-functional engagement with other business units. This role is critical to shaping the future of data at the credit union and delivering strategic measurable value through initiatives such as Member 360, performance scorecards, campaign analytics, and predictive modeling.
Essential Functions:
  • Develop and lead the enterprise data and analytics strategy, operating model, and multi-year roadmap.
  • Manage the data and analytics team including hiring, mentoring, and developing talent.
  • Oversee enterprise data sourcing, organizing, curation, visualization, reporting, and advanced analytics delivery through agentic AI and AI Analytics.
  • Collaborating with Enterprise Architects on platform scalability and architecture.
  • Ensure that data governance best practices are established and adhered to.
  • Measure data quality by assessing the datasets related to their business domain (e.g., correctness, completeness, timeliness of information in business context).
  • Track data literacy levels, as data literacy is the basis for becoming more data-driven as an organization (e.g., training delivered, skills attainment, staff performance).
  • Create a value-based story of how data and analytics capabilities are necessary to run a successful organization. Express business outcomes in terms of your stakeholders (e.g., in terms of revenue growth, or cost and risk reduction).
  • Collaborate across business units to deliver actionable insights and use cases.
  • Lead the design and implementation of Member 360, fraud detection, segmentation models.
  • Represent the data and analytics function in enterprise planning and technology forums.
  • Actively participate in budget planning and resource management for data and analytics capabilities.
  • Serve as escalation point for high-impact data or analytics issues.
  • Develop and own the enterprise data and analytics strategy and roadmap.
  • Lead a multi-disciplinary team of analysts, engineers, and data stewards.
  • Deliver advanced dashboards, KPIs, data pipelines, and self-service analytics.
  • Drive data governance, data quality, and operational standards.
  • Serve as the data thought partner to business unit leaders and the Executive team.
  • Collaborate with Enterprise Architects on platform architecture decisions.
  • Partner with IT, Security, Compliance, and other business stakeholders to deliver scalable and secure solutions.
  • Responsible for compliance with all Federal regulations including Bank Secrecy Act (BSA) and Office of Foreign Assets Control (OFAC).
Other Duties and Responsibilities:
  • Other duties as assigned.
Knowledge and Skills:
To perform this role effectively, the Director must demonstrate leadership, communication, and technical expertise across data analytics, governance, business intelligence, and organizational engagement.
Education:
Bachelor's degree in computer science, data science, or related field required, Master's degree preferred.
Experience and Other Requirements:
  • 10+ years of experience in data and analytics, business intelligence, or data engineering.
  • 4+ years in a leadership role in a related capacity.
Skills:
  • Experience delivering dashboards, predictive models, and enterprise analytics programs.
  • Knowledge of core and digital banking platforms such as Symitar, Alkami, MeridianLink, or similar financial banking systems.
  • Knowledge of other data platforms such as Fabric and Snowflake.
  • Experience managing cloud migration or data platform modernization projects.
  • Experience with predictive modeling, member segmentation, or machine learning use cases in financial services.
  • Advanced experience with developing and building high performing teams.
  • Experience with data governance, security, and compliance.
  • Proficiency with the Databricks data platform., visualization tools (e.g., Power BI), and modern analytics stacks.
  • Intermediate knowledge of HTML, Java, JavaScript, or SQL, SQL Tools, and ETL, tools.
  • Proven ability to partner effectively across all levels of the organization and develop positive working relationships.
  • Intermediate knowledge and experience with cloud technologies.
  • Demonstrated experience of understanding mid-level database, including proprietary and/or structured or open relational databases.
  • Familiarity with tactical frameworks, including Kanban and Scrum, as well as product-centric delivery models.
  • Comprehensive knowledge of evolving technologies in the financial industry.
  • A good understanding of the credit union industry.
  • Strong analytical and reasoning skills required.
  • Excellent communication/influence skills required, including reports; presentations; group facilitation skills; ability to develop professional relationships.
  • Must be able to manage multiple priorities simultaneously, establish and meet deadlines, coordinate activities with other departments, and perform job with accuracy and attention to detail.
  • Must be highly organized and capable of handling multiple tasks concurrently, able to redirect priorities based upon current workload (Ability to react to current situations).
  • Must be able to perform all functions independently with minimal supervision in a reasonable amount of time.
Interpersonal Skills:
Must possess strong interpersonal and influencing skills. Ability to collaborate and build relationships at all levels of the organization. Demonstrates high levels of emotional intelligence, diplomacy, and integrity.
Computer Skills:
(See Essential Functions, Education, and Experience Requirements above)
Certificates, Licenses and Registrations:
Professional certifications in data analytics or project management preferred.
Physical Demands:
The physical demands described here are representative of those that must be met by an individual to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
While performing the duties of this job, the individual is regularly required to sit, kneel, crouch, stoop; use hands to finger, handle or feel; reach with hands and arms; and talk or hear. The individual is frequently required to stand and walk. The individual is frequently required to be able to lift and move up to ten pounds.
Work Environment:
The work environment characteristics described here are representative of those that must be met by an individual to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Extensive use of desktop computer is required. The noise level is that of a normal office environment. When working in designated secured areas, elevated noise levels are present.
Declaration:
The human resources department retains the sole rights and discretion to update this job description.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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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