Senior Analyst, Analytics & Insights

Bold Orange Company, LLC•Minneapolis, MN

7d•$85,000 - $125,000

About The Position

Bold Orange (BOCO) is a customer experience company focused on creating authentic human connections across the customer lifecycle. Their culture emphasizes curiosity, collaboration, proactivity, and a future-focused perspective. The growing Analytics & Insights team is seeking a Senior Analyst with at least 5 years of experience analyzing marketing and transactional customer datasets, utilizing statistical models and tests to derive insights into the customer experience. The Senior Analyst will lead end-to-end analytics for client projects, with support from a Director. This includes identifying datasets, data cleaning, exploration, modeling (segmentation, forecasting, A/B testing), developing actionable insights, creating data visualizations, and presenting findings to clients. The role requires leveraging previous experience and bringing a curious, creative energy for continuous learning, applying analytics skills to diverse datasets such as POS/Ecomm transactions, search/AI and web engagement, email/SMS, media investment, and product/store reviews. The ideal candidate is curious about customer experience, comfortable with SQL/Python, Snowflake/cloud data platforms, and skilled in organizing, integrating, analyzing, and interpreting data to tell a clear story.

Requirements

At least 5 yearsâ€™ domain experience within marketing, retail, or customer analytics or a related field.
Experience with data analysis & visualization tools including Tableau, PowerBI, Data Studio or similar.
Experience with deep analysis of customer & transactions data, including segmentation, customer lifetime value (LTV), churn/loyalty risk analysis, propensity modeling, etc.
Experience using AI tools (including skills / agents) to accelerate data analysis, code generation, or insight development.
Bachelorâ€™s degree in business, analytics, data science, economics, social sciences, or related discipline with exposure to statistical / quantitative analysis.
Working knowledge of SQL and Python for analytics and data warehouses (Snowflake, Databricks, AWS Redshift, BigQuery, etc.)
Ability to thrive in a highly collaborative, cross-functional environment where analytics supports and works closely with tech, strategy, and client teams.
Innately curious and desire to learn new skills and new tools
Excellent communication skills â€“ verbal and written. This is a client-facing analytics role.

Nice To Haves

Experience using analytics to persuade business stakeholders to change practices, make new investments, and/or shift priorities.
Experience with digital experience analytics tools including Google Analytics, Google Ads, Meta Ads, TikTok Ads, and/or SEMRush.

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.
Enrich and analyze clientsâ€™ transactional data to understand what drives customer value, how purchasing patterns are shifting over time, and what levers they can pull to maximize customer loyalty and lifetime value.
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.