Senior Customer Data Analyst – Advanced Quantitative & Statistical Insights for Banking & Financial Services – Drive Data‑Driven Growth at brighthush

About brighthush

brighthush is a forward‑thinking financial technology partner that empowers banks and financial institutions to unlock the full value of their customer data. With a culture rooted in innovation, data‑driven decision making, and a commitment to ethical banking, we help our clients transform raw numbers into actionable strategies that drive growth, profitability, and customer satisfaction. Our remote‑first environment blends the flexibility of distributed work with the collaborative spirit of a high‑performing team, enabling you to thrive wherever you are.

Why This Role Matters

In today’s competitive banking landscape, understanding customer behavior at a granular level is no longer a luxury—it’s a necessity. As a Senior Customer Data Analyst at brighthush, you will be at the forefront of turning complex datasets into clear, compelling insights that shape product development, marketing campaigns, and strategic partnerships. Your analyses will directly influence decisions that enhance customer acquisition, cross‑sell, up‑sell, and retention initiatives, ultimately driving the bank’s bottom line.

Beyond the numbers, you’ll become a trusted advisor to senior executives, translating data into stories that inspire action and foster a culture of evidence‑based strategy across the organization.

Key Responsibilities

• Advanced Data Analysis: Pull, clean, and aggregate large volumes of customer data from multiple sources, ensuring data integrity and compliance with regulatory standards.
• Statistical Modeling & Segmentation: Design and implement sophisticated statistical models to segment customers by behavior, profitability, and risk, using tools such as SAS, SQL, and Python.
• Insight Generation: Translate raw data into actionable insights that identify opportunities for new product launches, service enhancements, and targeted marketing campaigns.
• Business Impact Assessment: Evaluate the financial impact of customer segments, product bundles, and channel preferences to recommend strategies that maximize profitability.
• Stakeholder Collaboration: Partner with product managers, marketing teams, and senior executives to present findings, discuss implications, and co‑create implementation roadmaps.
• Documentation & Reporting: Produce clear, concise reports and dashboards (PowerPoint, Tableau, Power BI, Alteryx) that communicate complex analyses to non‑technical audiences.
• Continuous Improvement: Identify gaps in data collection, propose enhancements to data pipelines, and stay abreast of emerging analytics techniques and industry best practices.
• Agile Project Participation: Contribute to sprint planning, backlog refinement, and iterative delivery of analytics projects within an Agile framework.
• Data Governance & Ethics: Champion data privacy, security, and ethical use of customer information, ensuring all analyses comply with GDPR, CCPA, GLBA, and other relevant regulations.
• Mentorship & Knowledge Sharing: Coach junior analysts, share best practices, and contribute to the development of internal analytics playbooks.

Essential Qualifications

• Minimum of 3 years of hands‑on experience in marketing analytics within the banking or financial services sector.
• Proficiency in SAS, SQL, and Excel for data manipulation, statistical analysis, and reporting.
• Strong statistical background with experience in hypothesis testing, regression analysis, clustering, and predictive modeling.
• Financial acumen—understanding of banking products, revenue streams, and profitability metrics.
• Excellent written and verbal communication skills, with the ability to translate technical findings into business‑friendly narratives.
• Bachelor’s degree in a quantitative field (e.g., Statistics, Economics, Data Science, Finance).

Preferred Qualifications & Skills

• Experience with Python, Tableau, Power BI, or Alteryx for advanced analytics and data visualization.
• Familiarity with Agile methodologies and experience working in cross‑functional teams.
• Experience creating persuasive PowerPoint presentations for senior leadership.
• Knowledge of regulatory frameworks affecting data usage in banking (e.g., GDPR, CCPA, GLBA).
• Background in customer profiling, churn modeling, and lifetime value estimation.
• Experience with cloud data platforms (AWS, Azure, GCP) and data lake architecture.
• Knowledge of machine learning pipelines and model deployment best practices.

What You’ll Bring to the Team

• Analytical mindset with a passion for uncovering hidden patterns in large datasets.
• Strong problem‑solving skills and the ability to develop creative, data‑driven solutions.
• Collaborative spirit—comfortable working with diverse stakeholders to align analytics with business objectives.
• Adaptability to a fast‑paced, evolving environment where priorities can shift quickly.
• Commitment to data integrity, privacy, and ethical use of customer information.
• Curiosity and a drive to stay ahead of industry trends and emerging technologies.

Career Growth & Learning Opportunities

At brighthush, your career trajectory is supported by a robust learning ecosystem:

• Mentorship Programs: Pairing with senior data scientists and industry experts to accelerate skill development.
• Professional Development: Access to certifications in SAS, SQL, Python, and advanced analytics platforms.
• Conference Participation: Opportunities to attend leading industry conferences (e.g., FinTech Summit, SAS Global Forum) and share insights.
• Cross‑Functional Projects: Rotational assignments across product, marketing, and risk teams to broaden business understanding.
• Innovation Labs: Dedicated time and resources to experiment with emerging technologies such as AI/ML, blockchain analytics, and real‑time data streaming.
• Leadership Development: Structured programs to build strategic thinking, project management, and stakeholder engagement skills.
• Academic Partnerships: Collaboration with universities and research institutions for joint projects and talent pipelines.

Work Environment & Culture

brighthush champions a culture of transparency, inclusivity, and continuous improvement. Our remote‑first model means you can work from anywhere while staying connected through:

• Weekly virtual town halls and team stand‑ups.
• Collaborative tools (Slack, Microsoft Teams, Confluence) that foster real‑time communication.
• Regular virtual coffee breaks and informal “Ask Me Anything” sessions with leadership.
• Annual in‑person retreats to strengthen team bonds and celebrate achievements.
• Flexible work hours that accommodate different time zones and personal commitments.
• Inclusive hiring practices that celebrate diversity of thought, background, and experience.
• Community outreach initiatives that give back to local and global causes.

Compensation, Perks & Benefits

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

• Base salary aligned with industry standards for senior data analytics roles.
• Performance‑based bonuses tied to project impact and business outcomes.
• Comprehensive health, dental, and vision insurance plans.
• Flexible paid time off and a generous parental leave policy.
• 401(k) matching and financial wellness resources.
• Unlimited learning budget for courses, books, and certifications.
• Equity options for long‑term employees.
• Wellness stipend for home office setup, fitness memberships, and mental health resources.
• Annual stipend for remote work expenses and technology upgrades.

How to Apply

Ready to transform customer data into strategic advantage? Submit your resume and a cover letter outlining your experience in banking analytics and how you’ve driven business impact through data. We look forward to exploring how your expertise can help brighthush and our banking partners achieve new heights.

Apply to brighthush Today