CPG Data Analyst at Consumer Edge

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Feb, 26

Salary

200000.0

Posted On

08 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Analytical Skills, CPG Industry Knowledge, SQL, Data Modeling, Statistical Backtesting, Communication Skills, Consumer Behavior Understanding, Project Management, Python, Alternative Data

Industry

Information Services

Description

Company overview Consumer Edge is the leading provider of consumer data for some of the largest hedge funds, venture capital and private equity firms, and corporations in the United States and Europe. We arm our clients with actionable consumer, competitive, and market insights that drive better investment and strategic decisions. Role summary The CPG Data Analyst at CE will be responsible for analyzing, cleaning, building, and supporting scalable data products derived from our large, alternative datasets with a specific focus on the Consumer Packaged Goods (CPG) sector. This role sits at the intersection of data analysis, market intelligence, and product innovation. The ideal candidate combines analytical rigor with deep knowledge of the CPG industry, including category trends, competitive dynamics, and the broader retail ecosystem. They should be naturally curious and able to connect data-driven insights to real-world CPG market behavior, helping CE build and enhance our next-generation CPG analytics product. Your main responsibilities Analyze a diverse array of large alternative datasets for insights specific to CPG brands, categories, and retailers Clean, structure, and enrich semi-structured and unstructured data for use in analytical models and dashboards Combine multiple internal and external datasets to produce predictive models and actionable insights relevant to CPG trends Collaborate with Data Scientists, Data Engineers, Product Managers, and other Data Analysts to design and build scalable, insight-driven data products Translate analytical findings into narratives that inform clients about brand performance, category trends, and macro CPG market shifts. Stay current on CPG industry developments, competitive dynamics, and consumer behavior trends to contextualize data insights. Develop creative and intuitive ways to visually present data insights to clients You will be successful in this role if you have: Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Deep understanding of the CPG industry Strong proficiency in SQL to analyze and organize multiple large datasets Experience with data modeling and statistical backtesting Excellent written and verbal communication skills – able to readily translate between technical and non-technical audiences Passion for understanding consumer and retail behavior, particularly in CPG categories. Ability to juggle multiple, rapidly evolving projects Knowledge of Python or other programming languages a plus Familiarity with alternative data is a plus You will be successful at CE if you have: A detail-oriented mindset Ability to balance multiple priorities at once. An internal sense of urgency and ability to meet strict deadlines. Ability to work in a collaborative, team-oriented environment. Benefits & perks We are a remote-first company with a distributed environment and flexible working arrangements. We believe that distributed workers should be first-class citizens. We also have an office in New York if offices are your thing. Salary The annual base salary for this role is between $165,000 - $200,000 based on experience, with the opportunity for a performance-based bonus, company equity, 401(k) matching, paid parental leave, flexible and generous time off, work-from-home flexibility, and subsidized health benefits.

Responsibilities

The CPG Data Analyst will analyze large alternative datasets to derive insights specific to CPG brands and categories. They will collaborate with various teams to design and build scalable data products and translate analytical findings into narratives for clients.