Senior Analyst, Analytics & Insights

🕒 June 22

❄️ Minnesota – Remote

❄️ Minnesota – Remote

💵 $90k - $125k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Bold Orange

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

💼 Consulting

📣 Marketing

👥 B2C

💰 Private equity on 2018-03

Consulting • Marketing • B2C

Bold Orange is a customer experience and brand strategy agency that helps B2B and B2C organizations design and deliver purposeful customer experiences. They provide strategic thinking, UX and experience design, creative services, content and insights, and event/engagement support to help clients with acquisition, growth, and retention. Bold Orange highlights work with enterprise brands, publishes industry insights, and emphasizes a collaborative, culture-driven approach.

📋 Description

• Analyze integrated marketing and customer journey datasets to understand the drivers of success/failure in the context of client strategy and develop clear recommendations for a non-technical audience from this data. • Build machine learning models (scikit-learn, XGBoost) & run statistical experiments (control vs. exposed, MAB) to validate, predict, and identify drivers of marketing outcomes. • Explore and learn to leverage new analytics datasets and tools, helping clients understand how they can support insights and optimization. • Design, build, and train clients to understand reporting, dashboards, and performance insights for ongoing client delivery (Data Studio, PowerBI, Tableau, PowerPoint). • Present and discuss analysis with internal stakeholders and clients, including adapting content for different audiences. • Build and maintain data architecture documentation to ensure clarity across teams on what datasets are canonical and where they come from. • Mentor junior analytics team members to support their ongoing development, always promoting creativity as well as structured thinking.

🎯 Requirements

• At least 5+ years domain experience within digital analytics, marketing analytics or related field. • Working knowledge of SQL and Python (incl. Pandas) for analytics and machine learning • Experience with statistical modeling and experimental design, including randomized control designs, regression modeling, decision tree / random forest classification, or other machine learning approaches. • Bachelor’s degree in data science, business analytics, social sciences, or another related discipline with meaningful exposure to data analysis. • Ability to thrive in a highly collaborative, cross-functional environment where analytics supports and works closely with tech, creative, and execution teams • Innately curious and keen to learn new skills and new tools • Excellent communication skills – verbal and written. This is a client-facing analytics role.

🏖️ Benefits

• Medical, dental, and vision insurance • Virtual mental health support • Health Savings and Flexible Spending Accounts (including dependent care) • Infertility and critical illness benefits • 401(k) with generous 6–10% employer contribution • Paid parental leave • Tuition reimbursement • Free parking and commuter support