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62 Cpg Data Analyst Jobs Hiring Near You

Sigmoid

Principal Data Scientist

Newark, NJ · On-site

Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce ... or customer analytics. * Ability to convert rigorous analysis into strategic recommendations.

World's Finest Chocolate

Sales Data Analyst

Chicago, IL · Remote

$105K - $115K/yr

Experience: * 1-3 years in CPG sales analytics, revenue growth management, or category management. * Hands-on experience pulling data from retailer portals and syndicated sources (Circana, Nielsen ...

BIC

Logistics Data Analyst

Shelton, CT · On-site

... CPG experience preferred • Bachelor's degree preferred (Supply Chain, Business Analytics ... data environments Company : A global leader in stationery, lighters, and shavers, BIC brings ...

Sigmoid

Principal Data Scientist

Newark, NJ · On-site

Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics. * Ability to convert rigorous analysis into strategic recommendations.

Sigmoid

Principal Data Scientist

Newark, NJ · On-site

Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics. * Ability to convert rigorous analysis into strategic recommendations.

BlueLabs, Inc.

Data Analyst I

Washington, DC · On-site +1

$67K/yr

... travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we've ... Data Analysts are instrumental members of BlueLabs Data Science and engagement teams. They gain ...

BlueLabs, Inc.

Data Analyst I

OR · On-site +1

$67K/yr

... travel, CPG, entertainment, healthcare, media, and telecom industries. Along the way, we've ... Data Analysts are instrumental members of BlueLabs Data Science and engagement teams. They gain ...

BIC USA Inc.

Logistics Data Analyst

Shelton, CT · On-site

Logistics Data Analyst Shelton, CT, US, 06484 BIC Hybrid Description: Join BIC World, a community ... CPG experience preferred Technical Skills * Advanced Excel (data modeling, complex formulas, macros ...

New

BIC

Logistics Data Analyst

Shelton, CT · On-site

The Logistics Data Analyst turns complex supply chain and logistics data into clear, actionable ... CPG experience preferred Technical Skills * Advanced Excel (data modeling, complex formulas, macros ...

BIC

Logistics Data Analyst

Shelton, CT

The Logistics Data Analyst turns complex supply chain and logistics data into clear, actionable ... CPG experience preferred Technical Skills * Advanced Excel (data modeling, complex formulas, macros ...

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CPG Jobs Information

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

How much does an entry level data analyst make?

Entry-level data analysts typically earn between $55,000 and $70,000 annually, depending on the industry and location. Starting salaries may be higher with relevant skills in SQL, Excel, and data visualization tools like Tableau or Power BI.

What jobs make $3,000 a month without a degree?

Data analysts can sometimes earn around $3,000 per month with relevant skills in data visualization, Excel, and basic statistical tools, even without a formal degree. Entry-level roles or freelance work in data analysis, digital marketing, or customer support may also reach this income level, especially with experience and certifications. However, salaries vary based on location, industry, and skill level.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What other companies are hiring for Data Analyst jobs?
What are the most popular jobs at Cpg?
What are the most popular categories at Cpg?
Infographic showing various Data Analyst job openings at Cpg in the United States as of May 2026, with employment types broken down into 98% Full Time, and 2% Nights. Highlights an 96% Physical, and 4% Remote job distribution.
Principal Data Scientist

Principal Data Scientist

Sigmoid

Newark, NJ • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Principal Data Scientist

Newark, New Jersey, United States

Role: Principal Data Scientist - Commercial Analytics

Title: Senior Lead, Principal Data Scientist / Associate Director - Data Science

Location: NY / NJ (USA)

Summary: The role is expected to serve as the primary client-facing data science lead for commercial analytics and RGM engagements. In this role, you will partner with senior client stakeholders, translate business challenges into data science solutions, review and guide offshore deliverables, and ensure delivery of high-quality outcomes. You will combine hands-on modeling expertise with client leadership, solution ownership, and team guidance to drive measurable business impact. Provide clear guidelines for offshore development teams & own outcomes. You will nurture key client relationships to ensure client account success.

Desired Experience:

  • 8–12 years of overall experience.
  • 3+ years in consulting or client-facing analytics roles.
  • 3+ years of experience in CPG or adjacent commercial analytics environments.
  • Proven experience engaging with senior stakeholders and leading client conversations.
  • Strong track record in data science, statistics, and machine learning

Role & Responsibilities:

  • Develop and refine analytics & ML models and tools (e.g., Price Elasticity, iPPA diagnostics, Portfolio Simulators, TPO, TPM etc.) to support strategic RGM decisions
  • Employ your analytical skills to decipher large datasets, and identify opportunities to enhance existing solutions, as well as develop new ones as scalable proof-of-concepts (PoC).
  • Work closely with cross-functional teams, including data scientists, data engineers and product managers and business experts to ensure the smooth development of RGM models and translate outcomes to business stakeholders
  • Collaborate extensively with business stakeholders to gather requirements, deeply understand challenges and identify opportunities
  • Leading client workshops where broad vision and ambiguous business problems are articulated to be solved through data analytics and AI
  • Independently liaise with customers and convincingly present solutions in an unstructured and ever-changing client environment. Be able to independently question the customer, when required.
  • Perform a role that involves a combination of hands-on contribution and customer engagement
  • Contribute to organization building through training, mentoring, and developing repeatable analytic approaches

Primary Skills (Mandatory):

  • Strong foundation in ML and statistical concepts.
  • Proficiency in SQL, Python, and PySpark.
  • Experience with Snowflake, BigQuery, Azure, AWS, or Databricks.
  • Experience with CPG data and commercial analytics, including pricing, promotion, mix, e-commerce, or customer analytics.
  • Ability to convert rigorous analysis into strategic recommendations.
  • Strong project management, communication, and team leadership skills
  • Strong problem-solving skills and a creative mindset for disrupting how RGM analytics is conducted today. Be at the forefront of innovations in commercial analytics space

Secondary Skills (Good to have):

  • Exposure to supply chain analytics, manufacturing analytics, or e-commerce analytics.
  • Data engineering / MLOps experience.
  • Dashboarding experience with Power BI or Tableau
  • Exposure to Agentic AI / LLMs or any other Gen AI capabilities

Note:

By submitting your application, you consent to being contacted by our Talent Acquisition team via phone call, email, SMS, WhatsApp, or other communication channels regarding your application and relevant career opportunities.

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