Senior Digital Analytics Specialist

United StatesRemoteFull-timesenior

AnalyticsData & AI

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Quick Summary

Requirements Summary

Identify risk-related issues and bring them to management’s attention when appropriate.

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AnalyticsData & AI

Join a digital analytics team where data-driven insights help shape customer experiences and improve the performance of digital banking platforms. In this role, you will analyze customer behavior, identify emerging opportunities, and translate complex data into actionable recommendations that support business growth and profitability. You will develop reporting solutions, interactive dashboards, and automated processes that enable stakeholders to make informed decisions. Working closely with digital marketing, content management, and business teams, you will help optimize digital campaigns, strengthen customer acquisition and retention, and improve return on investment. You will also contribute to the evolution of analytics capabilities by developing new methodologies and measurement strategies. This remote opportunity is ideal for an analytical professional who combines statistical expertise, technical curiosity, and strong communication skills to turn data into meaningful business outcomes

Analyze digital performance: Conduct quantitative and statistical analyses of digital analytics data to understand customer behavior and evaluate the profitability and effectiveness of digital banking platforms.
Enhance analytics capabilities: Contribute to the continuous development of strategic and ad hoc analytics solutions by identifying business needs and preparing documentation that supports decision-making.
Develop business reporting: Create fact-based reports that help management assess digital performance and make informed decisions about launching, improving, or expanding digital content and services.
Ensure data quality: Analyze data and maintain quality control across reporting processes and analyses related to the digital portfolio.
Develop analytical methodologies: Design creative, data-driven approaches to answer critical business questions, evaluate new digital opportunities, and assess market potential.
Build dashboards and automate reporting: Improve reporting quality and efficiency by developing dashboards for key stakeholders and automating processes that consolidate data.
Support analytics implementation: Assist with the implementation of tag management and web analytics software to improve measurement, tracking, and reporting capabilities.
Identify growth opportunities: Apply data mining, segmentation, customer profiling, and quantitative analysis to uncover opportunities for customer acquisition, cross-selling, upselling, and retention through digital channels.
Translate insights into action: Partner with business stakeholders to incorporate approved recommendations into strategies, plans, and tactics that improve channel performance and return on investment.
Measure digital campaigns and content: Collaborate with digital marketing and content management teams to establish appropriate measurement strategies for digital content updates and marketing campaigns.
Enable stakeholder adoption: Train business partners to use analytics tools, prepare reports, interpret results, and apply insights effectively.
Maintain risk and regulatory compliance: Follow applicable risk standards, policies, controls, and regulatory requirements in accordance with established risk appetite.
Escalate potential risks: Identify risk-related issues and bring them to management’s attention when appropriate.
Support internal controls: Maintain internal control standards and ensure timely implementation of relevant internal and external audit recommendations, including issues raised by regulators.
Contribute to team objectives: Promote an inclusive and collaborative working environment and perform additional related duties as assigned.

Requirements

~2 min read

A bachelor’s degree and at least 4 years of relevant experience in marketing, product management, finance, analytics, and/or data management.
Alternatively, a combined minimum of 8 years of higher education and/or professional experience, including at least 4 years in marketing, product management, finance, analytics, and/or data management.
Strong knowledge of statistical concepts and proven analytical capabilities.
Experience compiling, evaluating, and interpreting technical information to develop meaningful insights.
Ability to communicate complex analytical findings clearly and effectively to non-technical audiences.
Excellent written and verbal communication skills, with the ability to collaborate across business functions and present recommendations to stakeholders.
Strong problem-solving skills and the ability to translate business questions into structured analytical approaches.
Attention to detail and a commitment to data accuracy, reporting quality, and reliable analytical outputs.
Ability to manage competing priorities and work effectively in a fast-paced environment.
Preferred: A master’s degree.
Preferred: Knowledge of statistical tools and techniques used for modeling, segmentation, and data analysis, including linear regression, time series analysis, factor analysis, and cluster analysis.
Preferred: Previous experience in financial services, ideally with an understanding of digital banking or related customer-facing platforms.
Preferred: Experience using web analytics platforms and tag management software.
Commitment to following risk management, regulatory, and internal control requirements while supporting an inclusive and collaborative workplace.