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Data Analytics Masters Jobs (NOW HIRING)

Bachelor's Degree in Data Science, Computer Science, Mathematics or related field required, Masters Degree strongly preferred * 8+ years of experience in data engineering and data analytics required ...

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of ... Master's degree (MBA, MIS, or related). * Familiarity with ITIL, TOGAF, or other enterprise ...

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of ... Master's degree (MBA, MIS, or related). * Familiarity with ITIL, TOGAF, or other enterprise ...

Position Summary The Manager, AI and Data Analytics leads the strategy, design, and delivery of ... Master's degree (MBA, MIS, or related). * Familiarity with ITIL, TOGAF, or other enterprise ...

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Data Analytics Masters information

What is the difference between Data Analytics Masters vs Data Analyst?

AspectData Analytics MastersData Analyst
CredentialsTypically requires a master's degree in data science, analytics, or related fieldUsually requires a bachelor's degree in a related field; certifications can enhance prospects
Work EnvironmentAcademic, research, or advanced industry roles; often involves project-based workBusiness environments, working with data to generate reports and insights
Industry UsageUsed in academia, research institutions, and advanced analytics roles in industryCommon across industries like finance, healthcare, marketing, and technology

In summary, a Data Analytics Masters is an advanced qualification often required for specialized or research roles, while a Data Analyst is a more entry-level or mid-level position focused on analyzing data to support business decisions. Both roles share overlapping skills but differ in educational requirements and scope of work.

What are the key skills and qualifications needed to thrive as a Data Analytics professional with a master's degree, and why are they important?

To thrive as a Data Analytics professional with a master's degree, you need strong analytical skills, expertise in statistics, and advanced knowledge of data modeling, typically supported by a relevant STEM degree. Proficiency with tools such as SQL, Python, R, Tableau, and familiarity with machine learning platforms is commonly required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Excellent problem-solving abilities, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills and qualifications are essential for transforming raw data into strategic decisions that drive organizational success.

What is a Data Analytics Masters degree?

A Data Analytics Masters degree is a graduate-level program that focuses on teaching students advanced skills in analyzing, interpreting, and visualizing data to help organizations make data-driven decisions. The program typically covers topics such as statistics, machine learning, data mining, data visualization, and programming languages like Python or R. Graduates are prepared for careers in data science, business analytics, and related fields, where they can apply analytical techniques to solve real-world problems. This degree is ideal for individuals who want to deepen their understanding of data and pursue specialized roles in analytics.

Is 40 too late for data science?

Data Analytics Masters professionals can enter data science at any age, as the field values skills and experience over age. Many successful data scientists start or transition into the field later in life, often leveraging prior experience, certifications, and continuous learning to stay competitive.

What kind of jobs can I get with a master's in data analytics?

A master's in data analytics prepares individuals for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making across various industries.

What types of real-world projects or collaboration opportunities can Data Analytics Masters expect during their studies?

Data Analytics Masters programs often include hands-on projects where students work with real datasets from industry partners or simulate actual business scenarios. These projects typically involve teamwork, allowing students to collaborate with peers and sometimes with professionals from related fields such as business, engineering, or IT. This collaborative environment helps students develop both technical and communication skills, and provides valuable exposure to industry-standard tools and workflows. Additionally, these experiences can lead to networking opportunities and open doors for internships or job placements upon graduation.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts are still essential for interpreting complex insights, making strategic decisions, and ensuring data quality. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are not easily replaced by AI. Professionals in this field often need to develop expertise in analytics software, programming languages, and data visualization tools to stay relevant.

What is a Data Analytics Masters job?

A Data Analytics Masters job typically involves analyzing large datasets to extract insights that help businesses make data-driven decisions. Professionals in this role use statistics, machine learning, and data visualization tools to interpret trends and patterns. They commonly work in industries like finance, healthcare, marketing, and technology. Strong analytical skills, programming knowledge (e.g., Python, SQL, R), and expertise in data visualization tools (e.g., Tableau, Power BI) are essential.

Is it worth getting a master's degree in data analytics?

A master's degree in data analytics can enhance job prospects for data analysts by providing advanced skills in statistical analysis, programming, and data visualization tools like Python and Tableau. It often leads to higher salaries and more senior roles, but practical experience and certifications can also be valuable in this field.
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Data & Analytics Mgr - Marketing

Data & Analytics Mgr - Marketing

Wayne Farms LLC

Oakwood, GA

Full-time

Posted 11 days ago


Job description

Job Summary: The Marketing Data Insights & Analytics Manager plays a critical role in transforming complex business, consumer, customer, and market data into actionable insights that drive growth across Retail, Foodservice, QSR, National Accounts, and Prepared Foods channels.

Reporting to the Senior Director of Brand Management, this role partners cross-functionally with Brand Management, Sales, Revenue Management, Category Management, Supply Chain, Finance, R&D, and Executive Leadership to identify trends, measure performance, and support strategic decision-making.

This individual will lead reporting and analytics initiatives across syndicated data, shopper insights, promotional effectiveness, pricing analytics, innovation performance, and customer-specific business reviews. The ideal candidate combines strong analytical capabilities with commercial acumen and the ability to communicate insights clearly to both technical and non-technical stakeholders.

Job Responsibilities:

Business & Commercial Analytics

  • Develop and maintain dashboards, scorecards, and executive reporting for brand, category, customer, and channel performance
  • Analyze syndicated and internal data sources to identify growth opportunities and risks
  • Deliver actionable insights across market share, pricing, promotions, distribution, behavior, innovation, and competition
  • Support annual planning, business reviews, and strategic initiatives

Brand, Consumer & Innovation Insights

  • Partner with Brand Management to evaluate campaigns, brand health, and consumer engagement
  • Translate research into recommendations for innovation, packaging, messaging, and portfolio optimization
  • Identify emerging trends across protein, poultry, convenience, and prepared foods
  • Support innovation teams with opportunity identification

Reporting & Analytics Enablement

  • Develop automated reporting tools and visualization platforms (Power BI, Tableau, Excel)
  • Ensure consistent KPI definitions and reporting standards
  • Improve accessibility and speed of insights delivery
  • Train and upskill cross-functional teams on data and tools

Cross-Functional Collaboration

  • Serve as a strategic partner across Marketing, Sales, Finance, and Supply Chain
  • Support forecasting and pricing decisions with Revenue Management teams
  • Present findings in executive-ready formats
  • Manage multiple projects and respond to ad hoc needs
  • Data Governance & Continuous Improvement
  • Establish best practices for analytics and reporting processes
  • Identify opportunities for automation, AI, and predictive analytics
  • Manage vendor relationships and data subscriptions
  • Ensure data accuracy and consistency

Experience:

  • 5-8+ years experience in analytics, category management, business intelligence, or consumer insights
  • CPG, food manufacturing, or protein industry experience preferred
  • Experience supporting Retail or Foodservice channels preferred

Knowledge, Skills and Abilities:

  • Experience with syndicated data platforms (Circana, Nielsen, etc.)
  • Advanced skills in Excel and PowerPoint
  • Demonstrated computer software skills in Power BI, Tableau, or similar tools

Compentencies

  • Strong analytical and problem-solving skills
  • Ability to translate data into business insights
  • Executive communication and presence
  • Cross-functional collaboration and influence
  • Ability to manage multiple priorities

Supervisor Responsibilities:

  • None. This is an individual contributor role

Education

  • Bachelor's degree in Business, Marketing, Analytics, Statistics, Economics, Data Science, or related field; MBA or advanced analytics certification preferred

Work Environment:

  • While performing the duties of this job, the employee is exposed to typical risks of injury in an office environment.
  • Duties include a typical office setting including extensive computer work, sitting or standing.
  • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
  • Must adhere to the company's Code of Conduct and all other policies.

Safety Requirements:

  • Follows all departmental and company safety policies and programs.

EQUAL OPPORTUNITY EMPLOYER

As an Equal Opportunity Employer, Wayne-Sanderson does not discriminate on the basis of race, creed, color, religion, gender (sex), sexual orientation, gender identity, marital status, national origin, ancestry, age, disability, citizenship status, a person's veteran status or any other characteristic protected by law or executive order.


 We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.