This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a detail-oriented, data-driven Senior Digital Optimization Analyst (Website) to optimize our digital presence and improve marketing effectiveness across channels. This role is responsible for analyzing website behavior, conversion funnels and tests, and user experience to identify opportunities that drive growth, improve website performance, and enhance customer journey outcomes. The ideal candidate excels at turning complex data into actionable insights, understands modern marketing analytics tools, and collaborates well with cross-functional teams including marketing, product, engineering, and design. This position is hybrid working out of our Waltham, MA office on Wednesdays. Key Responsibilities: - Website Performance & Journey Analytics - Drive analysis of website performance, user journeys, and key funnel metrics (traffic, engagement, conversion, retention). - Analyze landing page performance and identify optimization opportunities for improved CVR and engagement. - Conduct ongoing audits of website tagging, tracking, page load times, and user behavior patterns. - Collaborate with UX designers and product teams to inform roadmap priorities using data-driven insights. - Conversion Rate Optimization (CRO) - Develop and manage (in collaboration with the site experience team) a continuous testing program (A/B, multivariate, landing page tests). - Create hypotheses, set prioritization (vs. impact), build experiments, and analyze results to improve conversion funnels and reduce friction. - Partner with developers and marketing teams to implement and validate CRO experiments. - Maintain a centralized repository of test results and learnings to enhance institutional knowledge. - Tracking, Tagging & Data Quality - Work with MarTech and engineering teams to ensure accurate setup of tracking pixels, events, and user pathways. - Monitor the impact of cookie consent mechanisms and privacy regulations (GDPR/CCPA) on data integrity and tracking accuracy. - Power user and manage requirements for analytics platforms including Google Analytics, Tealium, or similar tools needed for effective analyses. - Ensure data consistency across reporting systems; troubleshoot discrepancies and recommend fixes. - Reporting & Insights - Define the necessary data structures and frameworks that answer key business questions and partner with platform/engineering teams to build. - Build clear, compelling reports and presentations that highlight insights, trends, and recommended actions. - Present performance updates to cross-functional stakeholders and leadership. - Cross-Functional Collaboration - Partner closely with marketing managers, product teams, designers, and engineering to develop insight-driven solutions. - Provide data-backed input to website strategy, SEO improvements, and messaging decisions. - Support broader marketing strategy by analyzing website-specific impact of campaigns and channel traffic. Qualifications - Bachelor’s degree in marketing, analytics, business, data science, or a related field. - 5-8 years of experience in website analytics, digital marketing analytics, or CRO. - Proficiency with analytics tools such as Google Analytics (GA4), Adobe Analytics, Hotjar, Mixpanel, or similar. - Experience with A/B testing tools (e.g., Optimizely, Statsig, Google Optimize, VWO, ContentSquare). - Strong understanding of paid media metrics and digital marketing concepts. - SQL or BI tool experience (Looker, Tableau, Power BI) preferred. - Strong analytical and problem-solving skills with the ability to communicate insights clearly. Preferred Skills - Experience in SaaS, e-commerce, or lead-generation environments. - Familiarity with tag management systems (Google Tag Manager, Tealium IQ, Adobe Launch). - Understanding of SEO, UX design, and user behavior research. - Experience with multi-channel marketing analytics. Benefits - A generous paid time off policy and a competitive benefits package that supports the health and well-being of you and your family. - Work flexibility as part of a hybrid workforce. - Opportunities for career growth and professional development. Application Deadline 30 days. We may fill this job opening prior to the deadline if a candidate is selected by us.

• Leverage data expertise to analyze a wide spectrum of data to provide insights and solutions to the business. • Identify and improve inefficiencies or issues in current data processes and reports with a “there’s always room for improvement” mindset. • Conceive, design & develop purpose focused reports and dashboards that drive value and meets business needs. • Manipulate large data sets from multiple sources to provide business metric reporting. • Communicate concise and actionable business strategies from vast amounts of data to senior management. • Continuously broaden knowledge of different business verticals and their functions and how they utilize data. • Lead the regular touchpoint with business stakeholders to provide insights beyond what is requested and/or provide data solutions to improve their workflow. • Conduct advanced statistical and financial analysis to uncover trends, patterns, and business opportunities. • Leverage statistical modeling, predictive analytics, and machine learning techniques to provide deeper insights into business operations and market conditions. • Produce high-quality, visually compelling reports and dashboards using tools such as Tableau, Power BI, or Excel for stakeholders at all levels. • Support the Sr. Manager of Analytics in defining key metrics, performance targets, and project priorities for the department.

• Use data to understand our users -- what they need, what they do, how to retain them, and ultimately how to help them find the best dates. • Partner with cross-functional teams to provide long-term strategic insights for our products. • Support business trends/forecasting and model the financial impact of new product ideas. • A strong knowledge querying massive and complex datasets, analyzing, and driving key and actionable insights. • Working with other cross-functional teams like Finance, CRM, Engineering and Business Intelligence; proactively engage other teams to identify and drive better user experience. • Providing internal consulting to product management, marketing, finance, and CRM teams on A/B tests as they move initiatives from concept to market. • Presenting technical content across business stakeholders. • Working as the product owner of revenue and retention strategies for the product. • Serving as the subject matter expert on applying various statistical methodologies towards distilling actionable insights. • Researching issues about customer behavior/changes by analyzing relevant metrics, trends and supporting enterprise level initiatives.

• Define and maintain key product indicators and a structured metrics tree to ensure consistent measurement across exchange and trading operations. • Prepare, visualize, and clearly present data needed for informed and timely decision-making. • Build informative dashboards and reports in Tableau for product, operational, and leadership teams. • Monitor product and trading performance by analyzing core metrics, feature output, execution quality, and market behavior. • Identify inefficiencies, anomalies, or risks — including suboptimal liquidity providers, algorithm behavior issues, or operational bottlenecks. • Evaluate the performance of trading algorithms and extract actionable insights to improve execution quality and profitability. • Conduct statistical and quantitative analyses, including back-tests, regressions, and time-series evaluations to validate hypotheses and support product improvements. • Perform ad-hoc deep-dive analyses based on business and operational requests. • Prepare new analytical reports and implement alerting mechanisms for key metrics and deviations. • Work closely with product and engineering teams to define analytical requirements and support a data-driven approach across the organization.