Senior Analyst, Analytics & Insights

🔥 12 hours ago

❄️ Minnesota – Remote

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💵 $85k - $125k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

👻 Ghost score 0%

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Logo of Bold Orange

Bold Orange

51 - 200 employees

Founded 2018

💼 Consulting

📣 Marketing

👥 B2C

💰 Private equity on 2018-03

Consulting • Marketing • B2C

Bold Orange is a customer experience and brand strategy agency that helps B2B and B2C organizations design and deliver purposeful customer experiences. They provide strategic thinking, UX and experience design, creative services, content and insights, and event/engagement support to help clients with acquisition, growth, and retention. Bold Orange highlights work with enterprise brands, publishes industry insights, and emphasizes a collaborative, culture-driven approach.

📋 Description

• Lead hands-on analytics of client projects end-to-end with support and mentorship from a Director • Identify datasets worth analyzing, provision and clean data, and perform data exploration and modeling • Apply segmentation, forecasting, A/B testing, and related analytical methods • Develop actionable insights and clear recommendations for non-technical audiences • Design, build, and train clients on reporting, dashboards, and performance insights using Data Studio, PowerBI, Tableau, and PowerPoint • Present and discuss analyses with internal stakeholders and clients, adapting content for different audiences • Analyze integrated marketing and customer journey datasets in the context of client strategy • Analyze transactional data to understand customer value, purchasing patterns, loyalty, and lifetime value • Explore new analytics datasets and tools to support client insights and optimization • Build and maintain data architecture documentation identifying canonical datasets and their sources

🎯 Requirements

• At least 5 years’ domain experience within marketing, retail, or customer analytics or a related field • Experience with data analysis and visualization tools including Tableau, PowerBI, Data Studio or similar • Experience with deep analysis of customer and transaction 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 • Bachelor’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 such as Snowflake, Databricks, AWS Redshift, or BigQuery • Ability to thrive in a highly collaborative, cross-functional environment • Innate curiosity and desire to learn new skills and tools • Excellent verbal and written communication skills • Client-facing analytics experience

🏖️ 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

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