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Senior Analyst, Analytics & Insights

4 weeks ago
United States
Full-time
Senior
Data Analyst
Data Science and Analytics
AWS Databricks Facebook Ads GCP Google Ads Google Analytics Machine Learning Pandas Power BI Python Random Forest Scikit-learn SEMrush Snowflake SQL Tableau TikTok XGBoost
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Bold Orange

Bold Orange

Bold Orange specializes in enhancing customer experiences by providing comprehensive solutions that encompass market entry strategies, content creation, user experience design, customer loyalty programs, performance marketing, digital media, and Salesf...

Professional Services
51-250
Founded 2018
View All Jobs 4

Description

  • Analyze integrated marketing and customer journey datasets to identify drivers of success and failure and develop recommendations for non-technical audiences.
  • Build machine learning models and run statistical experiments to validate, predict, and explain marketing outcomes.
  • Explore and leverage new analytics datasets and tools to support client insights and optimization.
  • Design, build, and train clients on reporting, dashboards, and performance insights for ongoing delivery.
  • Present analysis and recommendations to internal stakeholders and clients, tailoring communication to different audiences.
  • Build and maintain data architecture documentation so teams understand canonical datasets and their sources.
  • Mentor junior analytics team members and support their development.

Requirements

  • At least 5+ years of experience in digital analytics, marketing analytics, or a related field.
  • Working knowledge of SQL and Python, including Pandas, for analytics and machine learning.
  • Experience with statistical modeling and experimental design, including randomized control designs, regression modeling, decision tree or random forest classification, or other machine learning approaches.
  • Bachelor’s degree in data science, business analytics, social sciences, or another related discipline.
  • Ability to thrive in a highly collaborative, cross-functional environment.
  • Strong verbal and written communication skills for a client-facing role.
  • Curious mindset and willingness to learn new skills and new tools.
  • Experience with machine learning and modeling tools such as Scikit-Learn, XGBoost, PyMC, Statsmodels, Prophet, and/or Dataiku, preferred.
  • Experience with cloud data platforms such as Snowflake, Databricks, AWS, or Google Cloud, with Snowflake especially valued, preferred.
  • Experience with data analysis and visualization tools such as Data Studio, Tableau, Sigma, PowerBI, and/or Datorama, preferred.
  • Experience with digital experience analytics tools such as Google Analytics, Google Ads, Meta Ads, TikTok Ads, and/or SEMRush, preferred.
  • Experience using AI tools, including custom skills or agents, to accelerate data analysis, code generation, or insight development, preferred.

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 a generous 6–10% employer contribution.
  • Paid parental leave.
  • Tuition reimbursement.
  • Free parking and commuter support.

Interested in this position?

Apply directly on the company website

Apply Now

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