Commercial Insights Manager

Polymer; Burlington, Northern (VT, KY); Hybrid; USD 80,000 - 105,000; Full time

Job summary

Select Design in Burlington, VT is seeking a commercially minded Commercial Insights Manager to turn data into sales plays across Select Design and brandhub. You will own end-to-end analytics, building data pipelines and presenting to leadership and clients from day one.

The role emphasizes turning opportunities into actionable business cases, scaling discovery into a repeatable process, and collaborating with cross-functional teams in a fast-paced environment.

Qualifications

• 5+ years of experience in commercial analytics, business intelligence, strategy consulting, or a similar analytical role.
• Proficient SQL and the ability to build and maintain your own data pipelines without waiting on engineering.
• Python or an equivalent language for sourcing and enriching messy data.
• Proficiency in at least one BI tool.
• A track record of analysis that led to a decision, including an opportunity you found on your own initiative and what happened when you took it to someone.
• Curiosity and the instinct to spot problems nobody flagged and find answers before anyone asks.
• Clear communication skills. You can turn a complicated finding into a simple argument.

Responsibilities

• Start with a commercial question, get the data to answer it, and come back with a recommendation.
• Find opportunities across our portfolio of clients and programs.
• Build the business case. Size the opportunity, frame the argument, and make it something a seller or client can act on.
• Present your work to leadership and directly to clients.
• Set up repeatable opportunity reviews so discovery becomes a process, not a one-off.

Skills

5+ years analytics

SQL

Python

BI tools

Impactful analysis

Curiosity

Clear communication

Tools

SQL

Python

Data pipelines

Job description

Select Design is seeking a curious, commercially minded Commercial Insights Manager to join our Burlington, VT team. This new role is ideal for a self-starter who finds sales opportunities in data and turns them into plays our teams can run. You will work across both of our business lines, Select Design and brandhub, and build this function from the ground up.

About Select

Select is a trusted marketing partner to some of the world’s leading consumer brands. We’ve built long-term relationships by being innovative, responsive, and entrepreneurial in everything we do.

We show up with energy, heart, hustle, and passion.

We support one another — kindness, openness, and honesty are table stakes here.

We value individuality, initiative, and the drive to push yourself and those around you to produce exceptional work.

What You’ll Do

• Start with a commercial question, get the data to answer it, and come back with a recommendation.
• Find opportunities across our portfolio of clients and programs.
• Build the business case. Size the opportunity, frame the argument, and make it something a seller or client can act on.
• Present your work to leadership and directly to clients.
• Set up repeatable opportunity reviews so discovery becomes a process, not a one-off.

What You Bring

• 5+ years of experience in commercial analytics, business intelligence, strategy consulting, or a similar analytical role.
• Proficient SQL and the ability to build and maintain your own data pipelines without waiting on engineering.
• Python or an equivalent language for sourcing and enriching messy data.
• Proficiency in at least one BI tool.
• A track record of analysis that led to a decision, including an opportunity you found on your own initiative and what happened when you took it to someone.
• Curiosity and the instinct to spot problems nobody flagged and find answers before anyone asks.
• Clear communication skills. You can turn a complicated finding into a simple argument.
• Experience in beverage alcohol, CPG, or trade marketing is a plus, not a requirement.

Select is an equal opportunity employer and highly values diversity. Select does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.