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Syndicated Data Jobs (NOW HIRING)

Brand Manager - Hybrid/Remote

Manteno, IL ยท On-site

$100K - $115K/yr

Analyze market dynamics, consumer behavior, syndicated data, retailer feedback, and industry trends toidentifywhitespace opportunities. * Translate insights into actionable innovation platforms ...

Experience using syndicated data services and exceptional Excel & PowerPoint skills are key to success. This role will report to the Manager, Client Insights Job Duties & Responsibilities * Account ...

Bachelor's Degree with a minimum of 5 years of consumer insights experience, preferably in CPG or QSR. * 2+ years of experience working with syndicated sales data sources and analyzing syndicated ...

Serve as an expert on the use of syndicated data and shopper data to assist Walmart in making well informed decisions and identify category growth opportunities. * Generate weekly, monthly, seasonal ...

Leverage syndicated data (IRI, Nielsen, etc.) and historical sales trends to identify risks, opportunities, and growth levers across categories and customers. * Operational Excellence: Oversee annual ...

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Syndicated Data information

What is syndicated data?

Syndicated data refers to market research information collected and sold by research firms to multiple clients. It provides standardized data on consumer behavior, sales, and market trends, often used by analysts and marketers to inform business decisions. Professionals working with syndicated data typically use tools like Excel or data analysis software to interpret the information.

Is 40 too late for data science?

Age is not a strict barrier for a career in data science, and many professionals transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, along with practical experience. Employers value diverse perspectives, and continuous learning can help late entrants establish a strong presence in the field.

What is the highest paying job in data?

In data-related fields, senior roles such as Chief Data Officer (CDO) or Data Science Director tend to be the highest paying, often earning six-figure salaries or more. These positions require extensive experience, leadership skills, and expertise in data strategy, analytics, and tools like machine learning and big data platforms.

What jobs make $1,000,000 a year?

In the field of syndicated data, high-level executive roles such as Chief Data Officer or Chief Analytics Officer can earn over $1 million annually, especially in large corporations or consulting firms. These positions require extensive experience, leadership skills, and expertise in data strategy, analytics tools, and industry knowledge.

What is the difference between Syndicated Data vs Market Research Analyst?

AspectSyndicated DataMarket Research Analyst
CredentialsTypically requires a degree in marketing, statistics, or related fieldsRequires a degree in marketing, business, or social sciences
Work EnvironmentData providers, research firms, or corporate analytics teamsConsulting firms, corporations, or market research agencies
Industry UsageUsed across retail, consumer goods, and media industries for market insightsUsed across various industries for analyzing market trends and consumer behavior
Comparison FocusProvides pre-packaged, aggregated data for industry analysisConducts custom research and analysis based on client needs

While Syndicated Data offers standardized, industry-wide datasets for quick insights, Market Research Analysts perform tailored research to address specific business questions. Both roles require analytical skills and industry knowledge but differ in scope and data sources.

What are the key skills and qualifications needed to thrive as a Syndicated Data Analyst, and why are they important?

To thrive as a Syndicated Data Analyst, you need strong analytical skills, proficiency in data interpretation, and a background in statistics or market research, often supported by a relevant degree. Familiarity with syndicated data platforms (like Nielsen or IRI), Excel, and data visualization tools such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication help analysts translate complex data into actionable insights for clients or stakeholders. These skills are crucial for accurately interpreting market trends and supporting strategic business decisions.

What are some common challenges faced by professionals working with syndicated data, and how can they be addressed?

Professionals working with syndicated data often encounter challenges such as integrating large datasets from multiple sources, ensuring data accuracy, and keeping up with frequent updates or changes in data formats. To address these, it's essential to develop strong analytical and technical skills, work closely with IT and data provider teams, and establish consistent data validation and cleaning processes. Collaboration with marketing, sales, and strategy teams also helps ensure that insights derived from syndicated data align with business goals and drive actionable decisions.
More about Syndicated Data jobs
What are the most commonly searched types of Syndicated Data jobs? The most popular types of Syndicated Data jobs are:
Infographic showing various Syndicated Data job openings in the United States as of June 2026, with employment types broken down into 6% As Needed, 75% Part Time, and 19% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data & Analytics Mgr - Marketing

Data & Analytics Mgr - Marketing

Wayne Farms LLC

Oakwood, GA โ€ข On-site

Full-time

Posted 16 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.


ย 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.