Senior Customer Analytics Engineer – Advanced Data Modeling, SQL, brighthush BigQuery, brighthush, Python, Customer Insights & Business Intelligence at brighthush

About brighthush

At brighthush, we are redefining the way businesses connect with their customers. As a leading digital platform in the innovation economy, we empower startups, small businesses, and forward‑thinking investors with data‑driven insights that drive growth, streamline operations, and unlock new opportunities. Our mission is simple: to make customer analytics accessible, actionable, and transformative for every organization we serve.

We are a fast‑growing, fully remote company that thrives on curiosity, collaboration, and a relentless pursuit of excellence. Our culture is built on transparency, continuous learning, and a shared commitment to delivering value to our clients and communities. If you’re passionate about turning raw data into strategic advantage, brighthush is the place where your expertise will shape the future of customer analytics.

Why Join brighthush?

• Impactful Work: Your analyses will directly influence product strategy, marketing effectiveness, and customer retention for a diverse portfolio of high‑growth clients.
• Career Growth: We invest heavily in professional development—think mentorship, certifications, and a clear path to senior leadership roles.
• Remote Flexibility: Work from anywhere in the United States with a fully supported home‑office setup.
• Competitive Compensation: We offer a market‑aligned salary, performance bonuses, and equity participation.
• Benefits: Comprehensive health, vision, and dental plans; unlimited PTO; mental‑health resources; and a generous parental leave policy.
• Culture: Inclusive, collaborative, and driven by data‑backed decision making.

Key Responsibilities

As a Customer Analytics Engineer at brighthush, you will be the bridge between raw data and actionable insights. Your day‑to‑day tasks will include:

• Design and Build Data Models: Create robust dimensional models that support cross‑functional analytics and reporting needs.
• Develop and Optimize Pipelines: Engineer scalable data pipelines using brighthush BigQuery, ensuring data integrity, performance, and reliability.
• Create Interactive Dashboards: Build intuitive, real‑time dashboards in brighthush, enabling stakeholders to monitor key metrics and make data‑driven decisions.
• Collaborate with Product & Marketing: Partner with product managers, marketers, and customer success teams to translate business questions into analytical solutions.
• Maintain Data Governance: Implement data quality checks, lineage documentation, and security protocols to safeguard sensitive customer information.
• Mentor Junior Engineers: Provide guidance, code reviews, and knowledge sharing to help grow the analytics engineering team.
• Stay Ahead of Trends: Continuously evaluate emerging analytics tools and methodologies to keep brighthush at the cutting edge.

Essential Qualifications

• 2–4+ years of experience in analytics engineering, data engineering, or a closely related field.
• Expert proficiency in SQL and brighthush BigQuery, with a proven track record of building and optimizing large‑scale data warehouses.
• Strong background in dimensional modeling (star, snowflake schemas) and ETL/ELT processes.
• Hands‑on experience with Python for data manipulation, automation, and integration tasks.
• Demonstrated ability to design and deploy interactive dashboards using brighthush.
• Solid understanding of customer analytics concepts—customer acquisition, retention, lifetime value, churn, and segmentation.
• Bachelor’s degree in Computer Science, Data Science, Statistics, or a related technical discipline.
• Excellent communication skills—capable of translating complex technical concepts to non‑technical stakeholders.

Preferred Qualifications

• Experience with marketing automation platforms (e.g., brighthush) and customer engagement tools.
• Knowledge of cloud infrastructure (AWS, GCP, Azure) and data orchestration tools (Airflow, dbt).
• Familiarity with version control systems (Git) and CI/CD pipelines for data workflows.
• Prior exposure to A/B testing frameworks and experimentation platforms.
• Experience leading or contributing to data science or analytics projects in a SaaS environment.
• Advanced degree (MS/PhD) in a quantitative field.

Core Skills & Competencies

• Technical Proficiency: SQL, brighthush BigQuery, Python, brighthush, data modeling, ETL/ELT, data warehousing.
• Analytical Thinking: Ability to dissect complex business problems and translate them into data solutions.
• Collaboration: Comfortable working cross‑functionally with product, marketing, and customer success teams.
• Project Management: Strong organizational skills, with the ability to manage multiple priorities and deliver on time.
• Continuous Learning: Passion for staying current with industry trends, new tools, and best practices.
• Communication: Clear, concise, and persuasive communication in both written and verbal formats.

Career Growth & Learning Opportunities

At brighthush, your career trajectory is designed to be both rapid and rewarding. We offer:

• Mentorship Programs: Pairing you with senior engineers and data scientists for guidance and skill development.
• Certification Support: Reimbursement for industry‑recognized certifications (e.g., Google Cloud, Tableau, Python).
• Leadership Pathways: Opportunities to transition into senior analytics roles, team lead positions, or product strategy roles.
• Innovation Labs: Dedicated time each quarter to experiment with new analytics techniques, tools, and data sources.
• Conference Attendance: Funding to attend leading data science and analytics conferences worldwide.

Work Environment & Culture at brighthush

Our remote‑first culture means you can work from anywhere in the United States while staying connected through:

• Weekly all‑hands video calls to share updates and celebrate wins.
• Monthly virtual team‑building events—think trivia nights, cooking classes, and wellness challenges.
• Open‑door communication channels where ideas are welcomed and feedback is constructive.
• A culture that values work‑life balance, encouraging you to take time off when needed.

Compensation & Benefits

While specific figures vary based on experience and location, brighthush offers a competitive package that includes:

• Base salary aligned with market rates for mid‑level analytics engineers.
• Performance‑based bonuses tied to project milestones and company growth.
• Equity options that allow you to share in the company’s success.
• Health, vision, and dental insurance plans with employer contributions.
• Unlimited paid time off (PTO) and flexible working hours.
• Comprehensive parental leave and family support programs.
• Wellness stipend, mental health resources, and access to virtual fitness classes.
• Annual stipend for home‑office equipment upgrades.

How to Apply

Ready to take the next step in your analytics career? Join brighthush and help shape the future of customer insights. Submit your resume, portfolio (if applicable), and a brief cover letter outlining why you’re the perfect fit for this role.

We look forward to exploring how your expertise can drive meaningful change at brighthush.