Hypothesis is looking for a Quant Operations Manager to ensure best practices are followed on quantitative research projects, acting as an operational guide from project start to finish, managing project bidding, kick-offs, survey design, fielding, data processing, and occasionally analysis, while helping to manage project scope throughout. The role also involves identifying and evaluating new opportunities, developing and updating best practice guides and protocols, effectively rolling them out, and measuring their effectiveness.
Requirements
- Experience with a variety of methodologies within quantitative research.
- Strong sense of project scope management and leadership: be comfortable directing team members, managing to timelines, anticipating potential problems and identifying solutions.
- Strong attention-to-detail and inclination towards process efficiency.
Responsibilities
- Review questionnaires for logic, research objectives, and respondent experience.
- Oversee key phases (link checking, field monitoring, data processing, timelines) and lead vendor kick off meetings.
- Contribute to kick off conversations, align on scope, and identify challenges and next steps.
- Manage vendors, including negotiating costs, setting expectations, and aligning on scope.
- Prepare data sets in Crunch.io for project teams.
- Maintain a library of resources, best practices, and templates for team training and use.
- Build quantitative expertise by working across a variety of methodologies, positioning yourself as a future client-facing quant research expert.
Other
- 3-5 years of direct market research experience at a market research agency, client company, or supplier side.
- Willingness to learn and a curiosity about our business.
- Collaborative and enjoy working within a team.
- Provide cost and feasibility estimates for bids and recommend competitive pricing options that protect margin targets.
- Manage project scope and costs to protect margins.
