Senior Data Analyst, Product Intelligence

Remote

Applications have closed

Who We Are

SPINS is the leading provider of retail consumer insights, analytics, and consulting for the Natural, Organic and Specialty Products Industry. We transform raw data into intelligent and actionable business solutions that enable consumers to pursue wellness. At SPINS, we believe data is important, but our people are the real differentiator. That’s why we maintain a culture that is focused on collaboration, flexibility, and open communication.

A key part of our approach to data is our Product Intelligence platform. Product Intelligence deconstructs on-and-off-label product information, translates the data into a common industry language, and outputs relevant insights in the form of clear product attributes well recognized by shoppers (for ex. plant-based, heart-healthy, keto, low sugar, diabetes-friendly, minority-owned business, no milk, etc.). This creates a source of truth dataset that documents everything that's meaningful about a product to both consumers and to retail/brand teams. Retailers and CPG brands use Product Intelligence for all sorts of use cases, including to analyze the market, spot trends, power personalization and next-gen merchandising strategies, help their shoppers find the best products for their health and lifestyle needs, and relay the detailed product information that today's shoppers rely on when making purchasing decisions. We are searching for a Senior Data Analyst to join our Product intelligence team.

What You Will Do

We are continually onboarding and analyzing a massive amount of new products onto our Product Intelligence (PI) platform. This requires ongoing data creation, analysis, data accuracy, data innovation, R&D, and maintaining rigorous food and product data standards. Think of it as a Consumer Reports for food and consumer products that acts as a “source of truth” dataset documenting products across all sorts of dimensions (nutrition, health, dietary, ingredients, etc.).

To support these efforts, our Product Intelligence team is looking for a highly detail-oriented Senior Data Analyst, to help envision and execute our data attribution strategy and attribute roadmap across nutrition, health, dietary, ingredient and similar data attribute areas. This role will be a senior contributor to the Product Intelligence data team, working cross-functionally with data and engineering teams to identify project requirements and implementation strategies across the area of attribute development. This role will help drive continued growth in the area of our product data capabilities and will develop strategic and tactical actions in order to execute our roadmap. This role will work both as a project lead and in conjunction with PMs, PI leadership and key stakeholders across the technology, commercial and research teams. As a senior data team member, this role will translate industry expertise and client needs in the area of food/grocery/CPG/nutrition data, solve for large database management strategies, and be responsible for delivering a high-quality product.

  • Act as a subject matter expert for go-forward data initiatives across our data attribute roadmap, including nutrition, health, dietary, ingredient and similar data attribute areas
  • Act as a senior contributor in developing new attributes using internal tools and coding languages/techniques; work with engineering and product teams to envision new tools to solve data needs across our attribute roadmap
  • Execute the Product Intelligence roadmap using internal and external feedback as well as data-driven insights to guide decision making; translate industry expertise and client needs in the area of food/grocery/CPG/nutrition data
  • Work cross-functionally with Operations, Marketing and Commercial teams to execute the attribute development process from idea generation to delivery (launch), including creating requirements, building, testing and managing project plans
  • Research and identify market needs and opportunities (future products and attributes) for Product Intelligence working with internal and external stakeholders
  • Use data and insight gathered from market research, client discussions and other customer feedback inputs to recommend and develop attribute requirements
  • Lead the execution of various data attribute projects to enhance product features related to hierarchy structure, product categorization, certification partnerships, data collection/ingestion and quality control
  • Provide domain expertise on product attribution and support internal stakeholders and clients through trainings, articles, webinars and customer engagements
  • Work with Customer Success and Operations to identify support implications and training opportunities
  • Understand CPG/retail market trends, anticipate new opportunities and determine necessary adjustments in product plans and data attribute roadmaps
  • Work closely with Operations, Technology and Business Development to solution for technical opportunities and manage the prioritization and execution of new product features and enhancements
  • Prepare product concept proposals and life cycle plans for new products based on detailed database analysis and understanding
  • Develop and approve marketing and product launch plans to achieve product and business objectives and consensus through a product and brand strategy perspective

What you should have

  • Bachelor’s or Master of Science in Nutrition, Dietetics, Food Science, or related fields
  • 4+ years of relevant experience, preferably within a Food/Nutrition, Product Management, Data/Analytics organization
  • ​​Familiarity in food, CPG, dietary supplements and/or personal care product labeling is a plus
  • Background in the grocery retail or CPG (Consumer Product) industry is a plus
  • Excellent analytical, planning, project management, and process development skills
  • Entrepreneurial drive to take ownership for assigned product strategy and execution to achieve growth and roadmap goals
  • Excellent communication skills
  • Ability to work effectively in a fast-paced environment under pressure, adhere to deadlines, deliver high-quality results and manage competing demands
  • Ability to influence technical directions and strategies across multiple groups

#LI-CJ1 #LI-Remote

What SPINS Offers

We have enjoyed tremendous growth over the years and, as a leader in a fast-growing industry, we have no plans to slow down!  While all that growth brings excitement, it is also an opportunity for SPINS to show it values the health and wellness of its team members. Whether you are based at our Chicago headquarters or remote, we continue to stay true to SPINS:

  • We embrace hybrid and remote work options so that you have the flexibility to create a work/life balance that actually works!
  • Virtual yoga, HIIT, meditation classes, and “team SPINS” Peloton rides
  • Each employee is allotted paid time to use to volunteer with an organization of their choice and charitable donations are matched.
  • CEO Connect, a monthly informal small group Q&A session with our top leader 
  • Semi-annual company-wide survey that is used to shape company programs, perks, and culture.

  The SPINS Way

  • Direct – We communicate with clarity, honesty and respect in all situations and embrace opportunities to provide solution-oriented feedback.
  • Determined – We are committed to overcoming all obstacles to achieve results. We adapt to change, seek opportunities to learn and rapidly translate that learning into action.
  • Passionate – We go above and beyond to help our partners achieve their goals. We challenge assumptions and are comfortable forging new paths.
  • Collaborative – We leave our egos at the door, believing that working together we will produce an outcome that’s greater than each individual contribution.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Consulting Engineering Market research R R&D Research Testing

Perks/benefits: Career development Health care Startup environment Wellness Yoga

Region: Remote/Anywhere
Job stats:  7  2  0

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