Senior Analyst, Analytics & Insights

Bold Orange; Minneapolis (MN); On-site; USD 80,000 - 100,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Virtual mental health support

401(k) with generous employer contribution

Tuition reimbursement

Job summary

Bold Orange is seeking a Senior Analyst to join their growing Analytics & Insights team in Minneapolis. The ideal candidate will have at least 5 years of experience in analyzing marketing and customer datasets, and a strong understanding of machine learning and data visualization tools.

Your role will involve leading analytics projects, providing mentorship to junior members, and translating complex data insights for a non-technical audience. The position comes with valuable benefits such as health insurance and a generous 401(k) plan.

Qualifications

• 5+ years of experience in digital or marketing analytics.
• Experience with statistical modeling and regression analysis.
• Strong communication and client-facing skills.

Responsibilities

• Analyze marketing datasets and generate insights.
• Build machine learning models to predict marketing outcomes.
• Mentor junior analytics team members.

Skills

SQL

Python (incl. Pandas)

Machine learning & modeling tools

Digital analytics

Education

Bachelor’s degree in data science, business analytics, or related field

Tools

Scikit-Learn

Google Analytics

Tableau

Job description

Position Summary

Bold Orange (BOCO)’s growing Analytics & Insights team is seeking a Senior Analyst with at least 5+ years of hands‑on experience analyzing marketing & customer datasets and experience building machine learning models and/or statistical experiments.

A Senior Analyst in the team will be expected to lead the hands‑on analytics work end‑to‑end in these projects, with constant support and mentorship from a Director. This end‑to‑end work can include identifying what datasets are worth analyzing, provisioning & cleaning data, data exploration & modelling (clustering, forecasting, driver models, etc.), developing actionable insights, designing compelling data visualizations, and presenting / discussing recommendations with clients.

Across BOCO Analytics projects, someone in the Senior Analyst role will need to leverage their previous experience and bring a curious, creative energy for ongoing learning. With analytics work spanning customer transactions data, search/AI & web analytics data, email & SMS engagement data, media investment & engagement data, product & in‑store reviews data, and more, our team needs to bring fundamental analytics skills and an agile mentality for exploring new domains.

Responsibilities

• 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.

Qualifications

• 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.
• Experience with machine learning & modeling tools including Scikit‑Learn, XGBoost, PyMC, Statsmodels, Prophet, and/or Dataiku.
• Experience with cloud data platforms including Snowflake, Databricks, AWS, Google Cloud, etc. Snowflake experience is especially valuable.
• Experience with data analysis & visualization tools including Data Studio (formerly Looker Studio), Tableau, Sigma, PowerBI, and/or Datorama.
• Experience with digital experience analytics tools including Google Analytics, Google Ads, Meta Ads, TikTok Ads, and/or SEMRush.
• Experience using AI tools (including custom skills / agents) to accelerate data analysis, code generation, or insight development.

Benefits That Matter

• 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

Note: Some benefits apply only to full‑time employees.

Equal Opportunity Employer

We are an equal opportunity employer, dedicated to a policy of nondiscrimination in employment on any basis including race, color, creed, gender, sexual orientation, age, disability, religion, national origin, marital status, familial status, ancestry, status as a veteran, status with regard to public assistance and any other characteristic protected by law. Bold Orange does not and will not discriminate against employees, prospective employees, clients, or vendors.