Senior Data Analyst - Marketing Analytics & Digital Insights (Remote)

About Our Client

The organization operates as an elite, high-impact consulting and technology transformation leader within the financial services sector, boasting over 150 years of institutional heritage. The enterprise specializes in partnering with commercial banks and credit unions globally to drive asset growth, optimize operational efficiencies, maximize customer lifetime engagement, and seamlessly navigate regulatory and structural change. By engineering sophisticated analytics platforms, deploying data-driven insights, and offering deeply integrated business solutions, the company empowers modern financial institutions to execute localized and national market strategies with maximum agility, precision, and enterprise scale.

About the Opportunity

The Senior Data Analyst - Marketing Analytics & Digital Insights will step into a high-visibility, intellectually demanding analytical leadership role designed to transform multi-channel big data into high-leverage marketing strategies. This position takes comprehensive operational ownership of mapping, analyzing, and optimizing the digital customer acquisition funnel for diverse financial institutions. Blending advanced statistical modeling with deep banking business intelligence, the Senior Analyst will audit marketing spend efficiency, diagnostic digital user experience (UX) flows, and engineer executive dashboards—directly driving return on ad spend (ROAS) optimization, safeguarding net customer acquisition costs, and guiding multi-million-dollar capital allocations.

Responsibilities

• Lead the end-to-end strategic analysis of massive, unstructured datasets extracted from core enterprise CRM systems, digital banking portals, and cross-channel marketing automation suites.
• Architect robust marketing measurement frameworks, data governance models, and progressive learning agendas perfectly aligned with macroeconomic business goals.
• Conduct advanced attribution modeling (multi-touch, first/last touch) and deep-dive customer journey mapping to isolate exact marketing channel performance and spend elasticity.
• Perform high-priority, rapid-response ad-hoc statistical analyses to answer critical business questions posed by executive and board-level stakeholders.
• Analyze granular website, mobile application, and digital performance metrics to identify and eliminate drop-off points within the digital account opening funnel.
• Track, model, and benchmark mission-critical financial performance indicators, including Cost Per Account (CPA), Customer Lifetime Value (LTV), Return on Ad Spend (ROAS), and multi-stage conversion rates.
• Design, execute, and evaluate rigorous A/B and multivariate testing frameworks to optimize active advertising campaigns and elevate digital user experiences.
• Manage and govern enterprise tag implementation architectures (e.g., GTM) to guarantee absolute data tracking accuracy, user privacy compliance, and signal integrity.
• Conceptualize, build, and maintain automated, enterprise-grade interactive dashboards using Tableau, Power BI, or Looker to provide real-time performance visibility.
• Translate complex, multi-variate data realities into highly compelling, narrative-driven data stories and strategic recommendations tailored for non-technical executive audiences.
• Collaborate dynamically with cross-functional Product, Data Engineering, and Corporate Strategy teams to deliver unified, multi-dimensional business insights.
• Direct and manage the operational lifecycles of multiple simultaneous analytical projects, ensuring flawless documentation and on-time delivery.

Requirements

• Possession of a Bachelor’s degree in Statistics, Data Science, Economics, Mathematics, Computer Science, or a closely related quantitative field; a Master’s degree is highly preferred.
• A minimum of five (5) to nine (9) years of progressive, hands-on professional experience specializing in advanced data analysis, marketing mix modeling, or digital analytics.
• Prior professional exposure within the financial services sector, retail banking industries, or working directly with credit union infrastructures is highly preferred.
• Proven track record of delivering diagnostic insights that have directly influenced macro-level corporate growth strategies or capital investments.
• Expert-level, administrative engineering proficiency with Google Analytics (GA4), Adobe Analytics, or equivalent enterprise-tier clickstream tracking platforms.
• Advanced, fluent command of SQL (complex joins, window functions, query optimization) coupled with practical proficiency in Python or R for predictive statistical modeling.
• Direct, hands-on mastery building complex executive data visualizations within Tableau, Power BI, or Looker environments.

Preferred Qualifications

• Structural familiarity with enterprise cloud data warehouses (such as Snowflake, AWS, Google Cloud Platform, or Azure) and big data processing frameworks (Hadoop, Apache Spark).
• Practical knowledge of enterprise marketing automation suites (e.g., Marketo, Salesforce Marketing Cloud), robust CRM architectures, and advanced tag management systems.

Pay Range and Compensation Package

• Target baseline compensation framework: Highly competitive annualized base salary structured between $110,000 and $140,000 USD per annum.
• Onboarding salary placement within this market-calibrated band is determined dynamically based upon a comprehensive evaluation of the finalist's specialized financial vertical experience, SQL/Python data modeling proficiencies, and geographic location.
• Total rewards portfolio combines a stable annual baseline salary structure with eligibility for corporate performance bonuses, progressive retirement matching, and a comprehensive benefits infrastructure engineered to support long-term wealth accumulation and professional expansion.

Benefits & Perks

• Premium medical, dental, and vision insurance packages designed to provide robust health and wellness coverage for you and your family.
• Secure future financial planning via an enterprise-sponsored retirement savings framework complete with competitive company matching contributions.
• Highly progressive Paid Time Off (PTO) allocations and recognized company-paid holidays to support excellent work-life balance.
• Dedicated corporate investment in your professional growth, featuring budget sponsorships for advanced data science credentials, cloud platform certifications, and analytics leadership courses.
• Modern remote and hybrid workplace flexibility supported by state-of-the-art digital collaboration platforms and technology setup allowances.
• Immediate access to holistic well-being initiatives, including confidential counseling and work-life balance support via the corporate Employee Assistance Program (EAP).

Equal Opportunity Statement

Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Key skills/competency

• Data Analysis
• Marketing Analytics
• Digital Insights
• SQL
• Python/R
• Tableau/Power BI/Looker
• Google Analytics (GA4)
• Customer Acquisition Funnel Optimization
• Return on Ad Spend (ROAS)
• Data Storytelling