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62 Cpg Data Analyst Jobs Hiring Near You

INCPG

Category Manager, Canada

Detroit, MI · Remote

Strong proficiency in extracting and analyzing data using CPG tools like Circana/IRI and Nielsen. * Proven track record of developing user-friendly tools and reports that transform data into ...

INCPG

Category Manager, Canada

Detroit, MI · Remote

Strong proficiency in extracting and analyzing data using CPG tools like Circana/IRI and Nielsen. * Proven track record of developing user-friendly tools and reports that transform data into ...

eTeam

Technical CPG BA

Atlanta, GA

Technical CPG BA Work location: Atlanta, GA Background and Meet and Greet: MANDATORY Support the ... Data Analyst in complex systems - 3 Ability to structure ambiguous domains into clear models ...

eTeam Inc

Technical CPG BA

Atlanta, GA · On-site

Technical CPG BA Work location: Atlanta, GA Background and Meet and Greet: MANDATORY Support the ... Data Analyst in complex systems - 3 Ability to structure ambiguous domains into clear models ...

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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.

HR Data Analyst - Remote

Jobsultant Solutions

Dallas, TX • Remote

Other

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago

Job description

We are looking for an outstanding HR Data Analyst to be a catalyst in our ongoing effort to become a data driven organization. Someone who can help us explore beyond rear view mirror reporting and tackle predictive/preventative analytics at scale once foundational reporting has been established. This role will work across all our business functions, platforms, and operations to perform analytics that supports decisions, and instills a data-first culture. This is not a data engineering or an ETL role.This will be a remote role.A Day in the Life of a Data Storyteller:

  • Delivering insight using compelling Power BI visualization techniques to key business functions.
  • Putting forth cohesive business architecture story across various functions through design thinking. Show the art of the possible with rapid analytical prototyping and storytelling.
  • Building models and designing experiments that seek to uncover truth.
  • Analyzing complex data made of unstructured, semi-structured and structured datasets to drive insights
  • Active participant in defining data strategy, its execution path, and help build our digital data fabric collaborating with our product partners
  • Working in a data factory model and work with vendors to scale up and maintain our environment that supports our business functions

What You'll Need:

  • BA/BS in computer science or related field or equivalent relevant experience, preferably with a focus on data visualization
  • Minimum 5 years of related experience.
  • Extensive experience with Data Visualization using tools like PowerBI (preferred) and Tableau.
  • Demonstrate ability to work effectively with others within a complex, cross-functional and fast paced organization
  • Excellent communication. Ability to present ideas and insights to business stakeholders
  • CPG industry knowledge is a must.

Compensation/Benefits:

  • Competitive Base Salary
  • Medical, Dental, and Vision Insurance on day one
  • Performance Bonus
  • 401K with up to 10% in matching contributions
  • Bright Horizons Family Solutions Back up care, tutoring, etc.
  • Transgender benefits
  • Fertility benefits
  • Tuition Reimbursement Program
  • Paid holidays and vacation days
  • Up to $300 Fitness Reimbursement
  • Up to $300 Massage Reimbursement
  • Health Resources including Free Headspace membership, 1:1 Health Coaching and more.

Team members, farmers, consumers and communities alike-we value what makes us unique and strive to connect our farms to families for a better life by living our values:

  • Grower Mindset We embrace our grower-owners innovative spirit and heritage through confidence, learning and focus on the future.
  • Sustainable Results Guided by purpose, we are focused on delivering results for our grower-owners.
  • Integrity Above All We are ethical, doing the right thing for our grower-owners, customers, consumers and each other
  • Inclusive Teamwork We build diverse and inclusive teams that strengthen our cooperative.

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