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.
Skills Required
- At least 5+ years domain experience within digital analytics, marketing analytics or related field.
- Working knowledge of SQL
- Working knowledge of Python (including 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 a related discipline with meaningful exposure to data analysis
- Ability to thrive in a highly collaborative, cross-functional environment
- Innately curious and keen to learn new skills and new tools
- Excellent communication skills - verbal and written; client-facing analytics role
- Experience with Scikit-Learn
- Experience with XGBoost
- Experience with PyMC
- Experience with Statsmodels
- Experience with Prophet
- Experience with Dataiku
- Experience with Snowflake
- Experience with Databricks
- Experience with AWS
- Experience with Google Cloud
- Experience with Data Studio (Looker Studio)
- Experience with Tableau
- Experience with Sigma
- Experience with PowerBI
- Experience with Datorama
- Experience with Google Analytics
- Experience with Google Ads
- Experience with Meta Ads
- Experience with TikTok Ads
- Experience with SEMRush
- Experience using AI tools (including custom skills / agents) to accelerate data analysis, code generation, or insight development
What We Do
Bold Orange is a customer experience agency helping brands with end-to-end CX needs inclusive of go-to-market experiences, content, UX/UI, loyalty and CRM, performance marketing, digital media and Salesforce Marketing Cloud implementation.
