Data Operations Analyst - Product Management

Who we are

Datassential is a global food and beverage intelligence platform. By embracing billions of data points and AI, we offer a suite of innovative solutions that empower over 90% of the largest global brands in the food & beverage ecosystem to more effectively develop, market, and sell their products.

Datassential, headquartered in Chicago, USA, has gained momentum in global markets through its acquisition of CHD Expert (HQ: France) in 2022. Datassential is now backed by New Mountain Capital and Endicott Capital. This significant milestone in our company’s journey enables us to accelerate our product roadmap and enhance our R&D efforts to deliver even more value-added features and solutions for our clients. 

We are a remote-first company with opportunities for in-person team and company-based events. Our global team celebrates diverse backgrounds and new perspectives while cultivating expertise in all things food and beverage. Food brings people together, and there's room for everyone at Datassential's table.

The Product team is responsible for setting the direction of the product roadmap and then bringing it to life.  We regularly collaborate with teams across the organization and liaison with both internal and external stakeholders to ensure our products are meeting (and exceeding) customer needs.   We delight in the delight of our customers, so we're constantly exploring new possibilities, from new data sources to integrations and AI-based solutions.  

Who you are

• You are an analytical thinker with meticulous attention to detail.
• You enjoy conveying complex data insights in an understandable manner to both technical and non-technical stakeholders.
• You are organized  with the ability to manage multiple data requests.
• You are passionate about addressing data-related challenges and inefficiencies.
• You are a highly capable and self-sufficient individual with a sense of ownership to achieve project goals. You are resourceful, versatile, and driven to succeed. 

• You can communicate complex ideas clearly and work collaboratively with cross-functional teams
• You're always excited to dive into new challenges, ask questions, and seek solutions
• You’re able to proactively lead projects and tasks through to completion
• You enjoy working in a dynamic environment with evolving priorities 
• You strive for continuous process improvements and implement streamlined workflows to enhance efficiency

Why you should join

As a Data Operations Analyst, you’ll get to work with various aspects of our product data, establish data related process best practices, and have the opportunity to significantly impact the evolution of Datassential’s innovative platform. You’ll contribute important work to power Datassential’s food and beverage intelligence solutions while collaborating cross functionally to surface meaningful insights in support of both internal teams and clients.  This is a hands-on position with an opportunity to support multiple products and teams in a rapidly evolving environment.   This is a critical and highly visible position with end-to-end ownership of projects. 

What you’ll be doing

• Organize and standardize reporting on product related data across various reporting environments and tools (database, Heap, Looker, Snowflake,  Salesforce, etc.) to create a source of truth for the organization.
• Collaborate with product team members and business stakeholders to expand data access and insights.
• Support data collection, processing, quality review, and publication for the various data related needs of our applications. 
• Own the internal data request process; managing and prioritizing the request queue, executing on requests, identifying themes and opportunities for streamlining service, and communicating service metrics to leadership.  
• Support client needs for custom advanced analytics related to our applications such as ad-hoc reports and custom Looks.
• Support internal product and data teams with data insights to help decision making, prioritization and roadmaps.
• Become a subject matter expert on data connections between our products, and contribute expertise and support as we continue to build out the Datassential platform. 

Requirements

What you bring

• Bachelor's degree in Data Science, Computer Science, Information Systems, Statistics or a related field or equivalent work experience
• 3-5 years of experience in data analysis, data management, or a related role
• Experience with data visualization tools such as Looker, Tableau, PowerBI
• Experience with data warehousing solutions such as Snowflake, Redshift, etc
• Strong knowledge of SQL and/or Alteryx for database querying and manipulation

Nice to have

• Experience with data analytics platforms such as Heap
• Experience developing requirements and formulating business metrics; and turning complicated analyses into actionable insights
• Experience or interest in the food and beverage industry

Benefits

• Competitive salary and annual bonus eligibility

• Affordable Medical, Dental, and Vision Insurance, including a no cost employee-only plan
• 401K with dollar-for-dollar company match up to 5%
• Unlimited PTO, recharge days, and Christmas through New Year break
• Remote Stipend (non-Chicago residents)
• Wellness Reimbursement or HQ Gym access

Our Table Welcomes All. We embrace diversity of both background and thought and foster an inclusive environment that extends an open landscape of opportunities to everyone. We invite each of us to simply be ourselves. We operate with respect and without judgment, celebrating both the power of the individual as well as our shared humanity.

The pay range for this role is $75,000 - $90,000/year. Actual compensation within the pay range will be decided based on factors including, but not limited to, skills, prior relevant experience, and specific work location.

Datassential is an E-Verify employer.

If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact [email protected]