Note: The job is a remote job and is open to candidates in USA. Bold Orange (BOCO) is a customer experience company focused on creating authentic human connections. They are seeking a Senior Analyst for their Analytics & Insights team to lead hands-on analytics work, including analyzing marketing datasets and building machine learning models.
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
Skills
- 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
- 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
Company Overview
Company H1B Sponsorship