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Data Analytics Jobs in Cleveland, MS (NOW HIRING)

Hancock Whitney Bank

Data Architect 2

Whitney, MS · On-site

$59.25 - $76.25/hr

Responsible for analyzing source system data, building processes to provide data cleansing and proper categorization. Translates business processes into logical and physical models in support of ...

undisclosed

Business Analyst

Merigold, MS

Experience in analysing data to draw business-relevant conclusions and in data visualization techniques and tools * Solid experience in writing SQL queries * Basic knowledge in generating process ...

Hancock Whitney Bank

Business Analyst

Whitney, MS · On-site

Enhance product profitability, balances and margin through pricing optimization, competitive analysis, risk mitigation, and other analytical methods for consumer and business lines of business.

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All JobsData Analytics JobsData Analytics Jobs in Cleveland, MS

Data Analytics information

See Cleveland, MS salary details

$21

$47

$81

How much do data analytics jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for data analytics in Cleveland, MS is $47.21, according to ZipRecruiter salary data. Most workers in this role earn between $37.93 and $53.51 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 Cleveland, MS look for? The top searched job categories for Data Analytics jobs in Cleveland, MS are:
What cities near Cleveland, MS are hiring for Data Analytics jobs? Cities near Cleveland, MS with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Cleveland, MS as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,206 per year, or $47.2 per hour.

Data Architect 2

Hancock Whitney Bank

Whitney, MS • On-site

$59.25 - $76.25/hr

Full-time

Re-posted 11 days ago

Hancock Whitney Bank rating

7.7

Company rating: 7.7 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks

Job description

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Develop, support, and optimize the data warehouse to facilitate reporting and analysis of enterprise data. Responsible for analyzing source system data, building processes to provide data cleansing and proper categorization. Translates business processes into logical and physical models in support of business requirements.

ESSENTIAL DUTIES & RESPONSIBILITIES:

  • Experience with Cloud Data storage technologies like Snowflake, Databricks, Azure, AWS or similar is preferred
  • Contributes to the data warehouse development lifecycle (requirements gathering, ETL, database design & development, testing & validation).
  • Designs and builds data structures to support analysis and reporting.
  • Designs and builds processes to ensure integrity and quality of data.
  • Troubleshoots and optimizes existing queries and databases.
  • Recommends and implements process improvements.
  • Maintains data dictionary & documentation.
  • Maintains knowledge of current BI tools, methods, and best practices.
  • Acts as an internal consultant providing technical guidance on business systems projects.
  • Determines and resolves problems with other systems analysts, programmers, and systems users.
  • Maintains, develops, modifies, and documents processes according to general specifications and guidelines.
  • Provides guidance to lower-level team members.
  • Consults with managerial and systems analysis personnel to clarify intent, identify problems, suggest changes, and determine extent of programming and coding required.
  • Revises or directs revision of existing programs to increase operating efficiency or adapt to new requirements.
  • Analyzes, defines, and documents system requirements for data, workflow, logical processes, hardware and operating system environment, interfaces with other systems, internal and external checks, and controls and outputs.
  • Researches and evaluates software and hardware to enhance and improve existing processes.
  • Performs other duties and special projects as assigned by Senior Management.
  • Incumbent is required to comply with all applicable federal, state, and local banking and industry related laws and regulations including but not limited to the Bank Secrecy Act.

SUPERVISORY RESPONSIBILITIES:

None.

MINIMUM REQUIRED EDUCATION, EXPERIENCE & KNOWLEDGE:

  • Bachelor's degree; BS in Computer Science, Management Information Systems or similar degree preferred
  • At least six years related experience and/or training and experience with a developed expertise in database administration, data architecture or data modeling
  • Knowledge of Microsoft Office products including Microsoft Word, Excel, Power Pivot, PowerPoint, Access Outlook email program
  • General database administration practices
  • Knowledge of application of data warehousing and data modeling concepts
  • Advanced SQL & database development
  • ETL design patterns & best practices (MS Integration Services, Informatica, etc.)
  • SQL optimization methods and techniques
  • Demonstrated leadership capabilities on sizable projects

ESSENTIAL MENTAL & PHYSICAL REQUIREMENTS:

  • Ability to work under stress and meet deadlines
  • Ability to travel
  • Ability to lift/move/carry approximately 100 pounds if required to perform the essential job functions. If the employee is unable to lift/move/carry this weight and can be accommodated without causing the department/division an "undue hardship" then the employee must be accommodated; hence omitting lifting/moving/carrying as a physical requirement.

Equal Opportunity/Affirmative Action Employers.  All qualified applicants will receive consideration for employment without regard to race, color, religious beliefs, national origin, ancestry, citizenship, sex, gender, sexual orientation, gender identity, marital status, age, physical or mental disability or history of disability, genetic information, status as a protected veteran, disabled veteran, or other protected characteristics as required by federal, state and local laws.

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