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Analytics Jobs in Mississippi (NOW HIRING)

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Bachelor's degree in Business, Supply Chain, Industrial Engineering, Analytics, or related field (Master's preferred). * 3+ years of experience in operations analysis, supply chain analytics, or ...

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Analytics information

See Mississippi salary details

$61.1K

$118.7K

$169.5K

How much do analytics jobs pay per year?

As of Aug 4, 2026, the average yearly pay for analytics in Mississippi is $118,692.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,700.00 and $141,100.00 per year, depending on experience, location, and employer.

What is analytics?

Analytics refers to the systematic computational analysis of data or statistics to discover, interpret, and communicate meaningful patterns and trends. Analytics professionals collect, process, and analyze data to help organizations make informed decisions, solve problems, and optimize performance. They may use statistical methods, data visualization, and predictive modeling in various industries such as business, healthcare, finance, and technology. Their work often involves working with large datasets, using specialized software tools, and translating complex findings into actionable insights for decision-makers.

Is data analytics well paid?

Data analytics is generally a well-paid field, with salaries often higher than average for entry-level roles and increasing with experience, skills, and certifications in tools like SQL, Python, or Tableau. Compensation varies by industry, location, and company size, but it is considered a lucrative career option for those with strong analytical and technical skills.

How do analytics professionals typically collaborate with other departments to drive business decisions?

Analytics professionals often work closely with departments like marketing, product development, finance, and operations to translate data insights into actionable strategies. They may attend cross-functional meetings, present findings, and help define metrics for success. Collaboration is key, as analytics teams must understand each department’s goals and challenges to provide relevant, impactful analysis. Strong communication skills are essential to ensure data-driven recommendations are clearly understood and implemented by non-technical stakeholders.

What is analytics as a job?

A job in analytics involves collecting, analyzing, and interpreting data to help organizations make informed decisions. Analysts use tools like Excel, SQL, and data visualization software to identify trends and insights. Strong problem-solving skills and attention to detail are essential for success in this role.

What are the key skills and qualifications needed to thrive in analytics?

To thrive in Analytics, you need strong quantitative skills, proficiency in data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Familiarity with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI—as well as relevant certifications—are commonly required. Critical thinking, attention to detail, and effective communication help translate complex data insights into actionable business strategies. These skills are crucial for extracting meaningful information from data, driving informed decisions, and delivering measurable value to organizations.

What is the difference between Analytics vs Data Analyst?

AspectAnalyticsData Analyst
Required CredentialsDegree in statistics, mathematics, or related field; certifications like Google Data AnalyticsDegree in data science, statistics, or related; similar certifications
Work EnvironmentBusiness intelligence teams, data departments, consulting firmsCorporate, finance, marketing, or healthcare organizations
Employer & Industry UsageUsed across industries for strategic insightsCommonly employed for data interpretation and reporting
Search & Comparison IntentUnderstanding roles, skills, and career paths in analyticsClarifying job responsibilities and skills of data analysts

Analytics and Data Analysts often work closely but focus on different aspects. Analytics involves broader strategic analysis and decision-making, while Data Analysts focus on interpreting data and creating reports. Both roles require similar skills and credentials, but their scope and responsibilities differ based on organizational needs.

What are the most commonly searched types of Analytics jobs in Mississippi? The most popular types of Analytics jobs in Mississippi are:
What are popular job titles related to Analytics jobs in Mississippi? For Analytics jobs in Mississippi, the most frequently searched job titles are:
Infographic showing various Analytics job openings in Mississippi as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $118,692 per year, or $57.1 per hour.

Director Data and Analytics Biloxi 5134

Keesler Federal Credit Union

Biloxi, MS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 hours ago


Keesler Federal Credit Union rating

8.3

Company rating: 8.3 out of 10

Based on 9 frontline employees who took The Breakroom Quiz


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.


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