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.

The ideal candidate has at least 5+ years of hands-on marketing analytics experience including knowledge of both SQL and Python, comfort with Snowflake and/or other cloud data platforms, and demonstrated experience organizing, integrating, analyzing, and interpreting data to form a clear, compelling story.

Experience with digital analytics tools (Google Analytics, digital ads platforms, ESPs, etc.) is not required but preferred.

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.

Required 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.

Preferred Qualifications:

• 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.

$90,000 - $125,000 a year

We benchmark salaries across industry standards and local markets to ensure we offer competitive, fair compensation. Final offers reflect a candidate's skills, experience, and location. The annual base for this position is anticipated to be between $90K to $125k in the Greater Minneapolis/St. Paul, MN market. Final compensation will be dependent on the ideal candidates experience and local market at the time of hire.

Benefits That Matter:

Our benefits are designed to support life's many stages-expected and unexpected. Eligible employees can access:
• 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.

Who We Are:

Our tone is professionally sassy. We embrace meat raffles, hot seats, and the occasional Jell-O shot. We like staff meetings that are informative, educational, and at times, damn funny. We believe in no hierarchy, no bullshit, no politics. Just honest, hard work and great fun.