---
About brighthush
brighthush is a forward‑thinking, client‑centric digital bank that thrives on innovation, data‑driven decision making, and a relentless commitment to delivering superior financial services. With a portfolio that spans venture capital, private equity, small‑business lending, and embedded banking solutions, brighthush empowers businesses of all sizes to grow, scale, and succeed in an increasingly digital economy. Our culture is built on collaboration, accountability, and a passion for turning complex data into actionable insights that drive real‑world impact.
Why Join brighthush?
- Remote‑First Flexibility: Work from anywhere while staying connected to a vibrant, distributed team that values autonomy and results.
- Impactful Work: Shape the future of banking by building the data foundation that powers customer experience, marketing, and product strategy.
- Career Growth: Accelerate your career through mentorship, continuous learning, and opportunities to lead cross‑functional initiatives.
- Inclusive Culture: Thrive in an environment that celebrates diversity of thought, encourages experimentation, and rewards innovative thinking.
- Competitive Compensation & Benefits: Receive a comprehensive package that includes base salary, performance bonuses, equity, health & wellness benefits, and generous paid time off.
Role Overview
As a Senior Customer Analytics Engineer at brighthush, you will be the technical architect behind our Customer 360 and lifecycle analytics initiatives. Reporting to the Director of BI & Analytics, you will design, build, and maintain the data models, pipelines, and semantic layers that transform raw customer interactions into a single source of truth. Your work will directly influence executive decision making, marketing activation, and product development, driving measurable growth and enhancing the customer experience.
Key Responsibilities
- Customer 360 & C‑MDM Modeling: Design and implement scalable dimensional models and One‑Big‑Table (OBT) datasets in Google BigQuery that unify core banking records, digital session logs, and touchpoints into a trusted customer master data repository.
- Identity Resolution & Attribution: Build robust customer identity mapping and multi‑touch marketing attribution frameworks across diverse platforms, ensuring data quality and governance.
- Semantic Layer Development: Formalize bank‑wide customer entities, core segmentations, and critical data elements (CDEs) such as DAU/MAU, account status, feature adoption, and dormancy thresholds.
- ELT Pipeline Engineering: Design, deploy, and maintain resilient ELT/ETL pipelines using SQL, Python, and orchestration tools to ingest, clean, and enrich raw interaction data.
- Marketing Activation Sync: Engineer reverse‑ETL workflows that sync enriched customer traits and behavioral events into marketing automation platforms (e.g., Braze) and CRM systems.
- Data Quality & Observability: Implement automated testing, anomaly detection, and schema validation to guarantee platform accuracy, uptime, and alerting.
- Executive Dashboards: Build intuitive, Tableau‑based dashboards that showcase acquisition funnels, retention curves, churn indicators, and deposit velocity.
- Storytelling & Insight Delivery: Translate complex data into clear, actionable narratives that answer the “so what?” for business leaders and product managers.
- Performance Optimization: Continuously monitor and tune BigQuery queries and Tableau extracts to ensure rapid workbook performance and cost‑efficient query processing.
- Strategic Partnership: Collaborate closely with Marketing, Product, and Business Line leaders to translate business hypotheses into quantitative frameworks and tracking requirements.
- Data Stewardship & Literacy: Champion data governance best practices, document customer data lineages, and coach end‑users on self‑service data discovery.
Essential Qualifications
- 2–4+ years of experience in a hybrid data role such as Analytics Engineer, Customer Data Engineer, BI Developer, or Marketing Data Engineer.
- Expert‑level SQL skills, including advanced analytical window functions, complex CTEs, array/struct unnesting, and performance tuning within Google BigQuery.
- Strong experience with dimensional modeling, star schemas, and event‑based data models; hands‑on experience with dbt for transformations and lineage is a plus.
- Proficiency in Python for data transformation, API integrations, and workflow automation; experience with Apache Airflow or Google Cloud Composer is preferred.
- Deep proficiency in Tableau Desktop and Tableau Server/Cloud, including LOD expressions, parameters, and thoughtful dashboard UX/UI design principles.
- Solid understanding of customer lifecycle metrics such as CAC, LTV, cohort retention, and churn.
- Excellent communication skills, with a proven track record of presenting complex data insights to non‑technical stakeholders.
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Mathematics, Engineering, or equivalent practical experience.
Preferred Qualifications
- Experience in fintech, commercial banking, or digital banking platforms.
- Knowledge of reverse‑ETL workflows or customer data activation.
- Familiarity with data governance frameworks and master data management principles.
- Experience with cloud data warehouses beyond BigQuery (e.g., Snowflake, Redshift).
- Background in marketing analytics or customer segmentation.
Skills & Competencies
- Data Engineering & Architecture
- Customer Analytics & Lifecycle Modeling
- SQL & BigQuery Expertise
- Python & Pipeline Orchestration
- Tableau Design & Performance Tuning
- Data Governance & Master Data Management
- Cross‑Functional Collaboration
- Storytelling & Data‑Driven Decision Making
- Continuous Learning & Adaptability
Career Growth & Learning Opportunities
At brighthush, your professional development is a priority. You will have access to:
- Mentorship from senior data scientists, product managers, and marketing leaders.
- Regular knowledge‑sharing sessions, hackathons, and internal workshops.
- Opportunities to lead high‑impact projects and shape the data strategy across the organization.
- Support for industry certifications (e.g., Google Cloud Professional Data Engineer, Tableau Desktop Specialist).
- Clear career pathways from Engineer to Lead Engineer, Data Architect, or Head of Analytics.
Work Environment & Culture
brighthush fosters a culture of transparency, experimentation, and continuous improvement. Our remote‑first model empowers you to work from anywhere while staying connected through:
- Weekly virtual stand‑ups and cross‑functional syncs.
- Monthly all‑hands meetings to share wins, challenges, and company updates.
- Open‑door leadership and a flat hierarchy that encourages idea sharing.
- Regular team‑building events, both virtual and in‑person, to strengthen collaboration.
Compensation & Benefits
While specific figures vary by experience and location, brighthush offers a competitive package that includes:
- Base salary commensurate with market rates for senior data engineering roles.
- Performance‑based bonuses tied to individual and company goals.
- Equity options that align your success with the company’s growth.
- Comprehensive health, dental, and vision insurance.
- Flexible paid time off and a generous parental leave policy.
- Wellness stipend, mental health resources, and access to fitness programs.
- Professional development budget for conferences, courses, and certifications.
Ready to Make an Impact?
If you are passionate about turning data into strategic advantage, thrive in a fast‑paced, collaborative environment, and want to help shape the future of digital banking, brighthush invites you to apply. Join us in building a customer‑centric platform that empowers businesses worldwide and drives measurable growth.
Click to submit your application and start your journey with brighthush today.
Apply for this job