Principal Marketing Analyst (predictive modeling) - Minneapolis, MN

Datasite and its associated businesses are the global center for facilitating economic value creation for companies across the globe. From data rooms to AI deal sourcing

and more. Here you’ll find the finest technological pioneers: Datasite, Blueflame AI, Firmex, Grata, and Sherpany. They all, collectively, define the future for business growth.

Apply for one position or as many as you like. Talent doesn’t always just go in one direction or fit in a single box. We’re happy to see whatever your superpower is and find the best place for it to flourish.

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Job Description:

In this role, you will be responsible for developing and managing predictive modeling assignments through completion, communicating results, and making recommendations to senior management.

Key Responsibilities

• Serve as the marketing team’s expert in predictive modeling, forecasting, and statistical methods.
• Performing statistical analysis and developing forecasting to optimize Marketing performance.
• Translate business problems and questions into analytical frameworks and actionable insights.
• Monitor and recalibrate models to maintain accuracy and relevance.
• Visualize and communicate insights effectively to technical and non-technical audiences through clear storytelling.
• Through a deeply developed knowledge of B2B customer data, analyze funnel progression along with campaign/channel performance to provide insights and opportunities
• Collaborate with stakeholders across marketing, operations, finance, and product to identify opportunities for predictive analytics.
• Coach and mentor team members across marketing and analytics functions to foster innovation and excellence.

Minimum Requirements

• Bachelor’s or MBA in Analytics, Computer Science, Business, Math, Economics, Engineering, or related field.
• Required:  7+ years of experience building statistical models, preferably supporting Marketing teams.
• Required: Expertise in Python, R, and SQL; advanced query writing and data manipulation.
• Strongly preferred: 4+ years of experience analyzing B2B data.
• Strongly preferred: Proficient with Salesforce data and reporting
• Strong business acumen and ability to provide meaningful analysis.
• Ability to communicate and present results effectively to senior leaders.
• Proven ability to source, clean, and integrate complex datasets.
• Proficiency in visualization tools (Datorama, Tableau, Power BI).
• Ability to collaborate effectively across diverse roles and functions.

Work Location & Flexibility

This position is based in our Minneapolis office and follows a hybrid work model. Employees work on-site a minimum of two days per week. Please note that specific business units or role requirements may necessitate additional in-office days based on team collaboration needs or operational priorities.

The base salary range represents the estimated low and high end for this position based on a good faith assessment of the role and market data at the time of posting. Consistent with applicable law, each candidate’s compensation offer may vary and will be determined based on but not limited to, your geographic region, skills, qualifications, and experience along with the requirements of the position. This position may be eligible for bonuses, commissions, or overtime if applicable. Benefits include health insurance (medical, dental, vision), a retirement savings plan, paid time off, and other employee benefits. Specific details will be provided during the interview process. Datasite reserves the right to modify this pay range at any time.

Our company is committed to fostering a diverse and inclusive workforce where all individuals are respected and valued. We are an equal opportunity employer and make all employment decisions without regard to race, color, religion, sex, gender identity, sexual orientation, age, national origin, disability, protected veteran status, or any other protected characteristic. We encourage applications from candidates of all backgrounds and are dedicated to building teams that reflect the diversity of our communities.