Mission Field is an innovation strategy consultancy that helps Fortune 500 CPG clients create, develop and test new consumer products in an entrepreneurial way. The Mission Field team has a mix of classic CPG expertise as well as the
entrepreneurial experience needed to make disruptive product launches succeed.

We pride ourselves in having a great work culture that values each team member’s contributions to build the best insights and recommendations for our clients.

Mission Field is seeking an analytics professional who
thrives on the opportunity to design and manage quantitative experiments, collect and manage raw data, conduct analyses using statistical methods and distill it into a cohesive story. The successful candidate will be an expert in facilitating data-driven insights to help our CPG clients maximize the success of their new products.

This is a US-based full-time exempt or part-time position and is 100% remote with flexible hours within project deadline requirements.

Develop experiment designs based on learning objectives and executional feasibility

Support the sales operations team in managing the execution of the in market experiments

Collect and investigate raw retailer sales or survey data and review for inconsistencies and errors

Analyze data using statistical tools and analytical methods including optimization and regression analyses.

Interpret data sets and identify trends, patterns, and insights relevant to our client’s goals.

Generate dashboards / reports to summarize insights

Build creative and compelling data visualizations that can be used to bring insights to life in client presentations.

Manage multiple projects simultaneously. Accountable to the schedule of project delivery.

Work closely with our leadership team to develop scalable tools and efficient processes for identifying data insights for our clients.

Bachelor’s degree in Economics, Statistics, Mathematics, Business Administration, or a related field.

A Master’s degree or Graduate Certificate in Business Analytics is preferred.

3+ years of post-collegiate work experience in a quantitative/data analytics field

Must have an understanding of how consumer packaged goods brands leverage data to inform business decisions. Experience in the CPG industry, preferably in food, beverageand/or personal and home care categories is strongly preferred.

Syndicated data experience (IRI, Symphony ai and/lor Nielsen) a plus

Expert level mastery of Excel and PowerPoint

Ability to manage projects and work with cross-functional teams

Strong attention to detail with high value placed on accuracy

Intellectually curious, eager to problem solve, and a quick learner

Excellent communication skills with a pro-active and positive attitude

Must be flexible and able to adapt quickly to changes as projects evolve