• Partner closely with our Global Capital Markets Business Development and Customer Experience teams • Analyze data from internal and external sources to identify trends, anomalies, and actionable insights • Partner with Business Development to track and improve partner performance and deal outcomes • Collaborate with Customer Experience to identify customer pain points and issue categories • Build dashboards, reports, and visualizations that inform decision-making across teams • Present findings and recommendations to cross-functional stakeholders, including senior leadership • Support CRM data hygiene and ensure partner-facing teams are accurately leveraging systems and tools • Drive measurement and reporting for strategic initiatives aimed at partner success and growth

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 highly motivated and detail-oriented Senior Data Analyst to join our team. The successful candidate will be the key liaison between our managing directors and the data reporting infrastructure. This role requires a blend of strong analytical skills, technical proficiency in BI tools and SQL, and excellent interpersonal skills to translate business needs into actionable data reports and interactive dashboards. Primary Responsibilities - Requirements Gathering: - Proactively collaborate with managing directors and stakeholders across various departments to understand, document, and prioritize their reporting and dashboard needs. - Translate complex business questions into clear, technical requirements for data extraction and visualization. - Report and Dashboard Development (BI): - Design, develop, and maintain high-quality, interactive dashboards and reports using the Dundas BI platform for Novatae and coordinate efforts with World where appropriate. - Ensure data visualizations are accurate, intuitive, and effective in communicating key business insights and performance indicators. - Data Analysis and Querying (SQL): - Write, optimize, and execute complex SQL queries to extract, transform, and load (ETL) data from various relational databases for reporting purposes. - Perform ad-hoc data analysis to investigate business performance, troubleshoot data issues, and validate data integrity. - Assist in identifying opportunities for data quality improvement. - Maintenance and Support: - Provide ongoing support and maintenance for existing reports and dashboards, ensuring their reliability and performance. - Develop and maintain technical documentation pertaining to data sources, report logic, and dashboard specifications. - Conduct user training sessions and create guides to promote self-service data consumption across the organization. Qualifications - 5+ years of experience working as a Data Analyst, BI Developer, or in a similar role. - Proven expertise in designing and building reports and interactive dashboards is essential. - Exceptional proficiency in writing and optimizing complex SQL queries for data retrieval and manipulation. - Experience with other BI tools (e.g., Power BI, Tableau) is a plus. - Strong organizational and multitasking skills with keen attention to detail. - Excellent interpersonal and communication skills, both written and verbal. - Ability to build relationships with internal stakeholders and external vendors. - Proficiency in Microsoft Office Suite and other office systems (e.g., Outlook, Teams, Excel, Word). - Strong judgment and problem-solving abilities in a fast-paced environment. - Capable of managing sensitive and confidential information with discretion. Education - A bachelor's degree in Computer Science, Information Systems, Business Analytics, or a related quantitative field. Physical Demands & Working Conditions - Office work involves working at a desk most of the time, using a stand-up/sit-down adjustable desk. - Exerting up to 10 pounds of force occasionally and/or negligible amount of force frequently to lift, carry, push, pull, or otherwise move objects. - Typing, grasping, and repetitive motion typically is required every day, and walking and standing are required occasionally. Equal Employment Opportunity At World Insurance Associates (WIA), we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our products, and our community to flourish. WIA is honored to be an equal opportunity workplace. We are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national orientation, age, citizenship, marital status, disability, gender identity, sexual orientation, or Veteran status. In addition, WIA makes reasonable accommodations to known physical or mental limitations of an otherwise qualified applicant or employee with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

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.