Senior Analyst, Analytics & Insights
Quick Summary
About Bold Orange: Bold Orange (BOCO) is a customer experience company. We believe authentic human connections are the single most important driver of business and societal progress.
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.
- 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.
- 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.
Location & Eligibility
Listing Details
- Posted
- June 22, 2026
- First seen
- June 22, 2026
- Last seen
- June 24, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 87%
- Scored at
- June 22, 2026
Signal breakdown
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