Remote Customer Insights Analyst – Advanced Data Analytics & Business Intelligence Specialist
About brighthush
brighthush is a trailblazing leader in the fast‑casual food industry, celebrated for turning every bite into an unforgettable experience. With over 3,100 vibrant locations across the United States, brighthush has built a reputation for quality, community, and innovation. Our mission is simple yet powerful: to serve delicious, fresh‑made sandwiches while creating positive impact in every neighborhood we touch. Behind the scenes, we rely on data-driven decision making to keep our menu, marketing, and operations at the cutting edge. That’s why we’re looking for a talented Customer Insights Analyst to join our remote analytics family.
Why This Role Matters
In a world where customer experience is the ultimate differentiator, the ability to translate raw data into actionable insights is priceless. As a Customer Insights Analyst at brighthush, you will become the voice of the customer across the entire business. Your analyses will inform product development, marketing campaigns, store operations, and strategic growth initiatives. You’ll partner with cross‑functional teams—from Marketing and Finance to Operations and Strategy—to shape the future of our brand.
Role Overview
As a remote member of our analytics squad, you will own the end‑to‑end lifecycle of customer data. From data ingestion and cleansing to advanced modeling and storytelling, you will transform first‑party data into clear, compelling narratives that drive business outcomes. Your work will directly influence how we acquire new customers, retain existing ones, and maximize lifetime value.
Key Responsibilities
- Build & Own Customer Dashboards – Design, develop, and maintain recurring dashboards that track key customer health metrics, such as acquisition, retention, frequency, spend, loyalty engagement, and lifetime value. Ensure dashboards are intuitive, accurate, and updated in real time.
- Advanced Analytics & Modeling – Apply statistical techniques—including regression, driver analysis, correlation, hypothesis testing, significance testing, and trend analysis—to uncover actionable insights from large‑scale transaction, loyalty, and behavioral datasets.
- Trend & Opportunity Identification – Leverage first‑party data to spot emerging trends, growth opportunities, and potential risks across the customer lifecycle. Translate findings into concise, data‑driven recommendations for senior leaders.
- Cross‑Functional Collaboration – Partner closely with the Business Intelligence team to understand the data ecosystem, data models, and evolving platform capabilities. Work with Marketing (CRM & Media), Finance, and Strategy to measure campaign performance, loyalty effectiveness, and overall business impact.
- Data Integration & Storytelling – Synthesize multiple data sources into clear, actionable insights that answer both the “what” and the “why” behind customer trends. Communicate findings through reports, presentations, and dashboards to both technical and non‑technical audiences.
- Best Practices & Process Improvement – Help establish and refine analytics best practices, data governance standards, and reporting protocols as the Customer Insights function scales.
- Strategic Support – Provide trend analyses and growth opportunities to support strategic initiatives, including new store openings, menu innovation, and regional expansion plans.
Essential Qualifications
- 3–6 years of experience in Customer Insights, Consumer Insights, Business Intelligence, Marketing Analytics, or a related analytical role.
- Advanced SQL proficiency with a proven track record of querying large relational databases to extract, transform, and load data.
- Hands‑on experience analyzing customer‑level transaction, loyalty, CRM, or behavioral data to generate actionable business insights.
- Strong knowledge of statistical methods commonly used in customer analytics, such as regression, driver analysis, correlation, hypothesis testing, significance testing, and trend analysis.
- Demonstrated ability to build, own, and maintain dashboards and recurring reporting using Power BI, Tableau, or similar visualization platforms.
- Exceptional analytical and problem‑solving skills with meticulous attention to detail.
- Excellent written and verbal communication skills, with the ability to translate complex analyses into clear, compelling business insights for both technical and non‑technical stakeholders.
Preferred Qualifications
- Experience with data modeling and data warehousing concepts (e.g., dimensional modeling, ETL pipelines).
- Familiarity with cloud data platforms such as Snowflake, BigQuery, or Redshift.
- Knowledge of Python or R for advanced analytics and machine learning.
- Experience in the food‑service or retail industry, particularly with loyalty or subscription programs.
- Prior exposure to A/B testing frameworks and experimentation platforms.
- Project management experience, including Agile or Scrum methodologies.
Skills & Competencies
- Data‑Driven Decision Making – Ability to turn data into strategic insights that influence business outcomes.
- Technical Proficiency – Advanced SQL, data visualization, statistical analysis, and familiarity with data pipelines.
- Communication & Storytelling – Craft compelling narratives that resonate with diverse audiences.
- Collaboration & Influence – Work effectively across departments, building trust and driving consensus.
- Curiosity & Continuous Learning – Stay ahead of industry trends, new analytical techniques, and emerging technologies.
- Adaptability & Resilience – Thrive in a fast‑paced, evolving environment while maintaining high quality.
Career Growth & Learning Opportunities
At brighthush, we believe that growth is a shared journey. As a Customer Insights Analyst, you will:
- Progress into senior analytics roles such as Lead Analyst, Analytics Manager, or Director of Customer Insights.
- Lead cross‑functional projects that shape the future of our brand.
- Participate in mentorship programs, internal hackathons, and data science competitions.
- Access to continuous learning resources, including online courses, certifications, and industry conferences.
- Opportunity to influence company‑wide data strategy and governance.
Work Environment & Culture
brighthush is committed to fostering a culture of inclusion, innovation, and empowerment. Even though this role is remote, you’ll be part of a vibrant, collaborative team that values:
- Open communication and transparency.
- Work‑life balance, with flexible hours and a results‑oriented approach.
- Recognition of achievements and contributions.
- Community engagement and social responsibility initiatives.
- Continuous feedback and professional development.
Compensation & Benefits
While specific figures may vary based on experience and location, brighthush offers a competitive total rewards package that typically includes:
- Base salary commensurate with market rates for data analytics professionals.
- Performance‑based bonuses tied to individual and company goals.
- Comprehensive health, dental, and vision insurance.
- 401(k) plan with company match.
- Paid time off, holidays, and flexible sick leave.
- Employee stock purchase plan and equity options.
- Wellness programs, mental health resources, and employee assistance programs.
- Professional development stipend and tuition reimbursement.
- Access to a global network of peers and mentors.
How to Apply
Ready to bring your analytical expertise to a brand that values data, community, and growth? Click the button below to submit your application and join the brighthush family.
Apply to brighthush – Remote Customer Insights Analyst
Closing
At brighthush, we’re not just serving sandwiches; we’re crafting experiences that resonate with customers and communities alike. As a Customer Insights Analyst, you’ll be at the heart of that mission, turning data into stories that drive real‑world impact. If you’re passionate about analytics, eager to collaborate across functions, and ready to shape the future of a beloved brand, we want to hear from you. Join us and help us continue to make a difference—one data‑driven decision at a time.
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