Role Description This is a remote position. Our client is a growth stage technology and data-driven commercial insurance wholesaler backed by a leading private equity firm. They are combining the worlds of insurance and technology to create an insurtech powerhouse, and are undergoing rapid digital transformation. They are building a centralized marketing analytics function and seeking a senior leader to establish the data foundation that supports performance marketing, attribution, reporting, and growth optimization across multiple business lines. This is a highly visible role reporting to the Head of Digital Marketing and will serve as the bridge between marketing, analytics, data engineering, and executive stakeholders. This role will start as an individual contributor, with the opportunity to have direct reports as the team expands. Qualifications - 5+ years of marketing analytics, marketing operations, or performance measurement experience. - 2+ years of hands-on ownership of a cloud data warehouse environment such as Snowflake. - Strong experience with dbt and modern data modeling practices. - Deep understanding of paid search, paid social, affiliate marketing, attribution, and conversion tracking. - Experience integrating data from advertising platforms, analytics tools, CRM systems, and other marketing technologies. - Advanced SQL skills required. - Experience with Python for analytics is highly desirable. - Experience with Looker, LookML, or similar BI platforms strongly preferred. - Ability to communicate analytical concepts to executive stakeholders. - Experience working across multiple brands, business units, or product lines preferred. - Insurance, financial services, fintech, or other highly regulated industries are advantageous. Requirements - Design, build, and manage a centralized marketing data ecosystem leveraging Snowflake, dbt, data ingestion tools, and BI platforms. - Develop and maintain enterprise-wide marketing KPIs, including customer acquisition cost, ROAS, conversion metrics, lifetime value, attribution models, and revenue performance metrics. - Ensure accurate tracking and attribution across paid and owned channels through governance of pixels, server-side tracking, conversion APIs, tag management, and offline conversion integrations. - Build reporting frameworks and self-service dashboards that allow marketing teams to monitor performance in near real time. - Partner with marketing leadership to develop forecasting models, performance targets, budget scenarios, and investment recommendations. - Lead measurement initiatives including incrementality testing, lift studies, geo-testing, and A/B testing programs. - Identify data quality issues and establish governance processes to improve reporting consistency and reliability. - Translate complex analytical findings into clear recommendations for both technical and non-technical stakeholders. - Collaborate with data engineering, finance, and marketing teams to align reporting standards and performance measurement methodologies. Benefits - Full-time permanent position. - Compensation: $140,000-150,000 base + 15% bonus + full benefits. Company Description At Talencore, we stand against racism and discriminatory practices. We stand against violence. We proudly support and partner with organizations that lift people up so everyone can succeed and thrive, and honour our candidates' experiences, perspectives and unique identity. We are committed to continuing to make diversity, equity, and inclusion part of everything we do – from how we work with our talented candidates to how we support our clients in building their diverse workforce.

• Support the Batch Reprocessing and Payment Integrity function by designing and delivering the reporting, dashboards, and analytical tooling that measure operational performance across the claims reprocessing lifecycle. • Partner with operations leadership to define complex reporting requirements. • Build repeatable and auditable data pulls in place of manual one-off extracts. • Contribute to data quality and stewardship. • Design, build, and maintain operational dashboards and reports that track reprocessing cycle time, post-approval turnaround, queue and hold status, stalled or aging tickets, contestment volume, and recovery throughput. • Write and optimize complex SQL against multiple claims adjudication systems and an enterprise data platform. • Replace manual, ad-hoc extracts with documented, repeatable, and parameterized data pulls. • Translate operational questions from team leadership into clear reporting requirements. • Conduct ad-hoc analysis to answer time-sensitive operational and prioritization questions. • Support data quality and stewardship efforts.

• Responsible for creating and generating reports that provide analytics to the global recruiting team up to executive management; develop and manage weekly, monthly & quarterly reports • Respond quickly to ad-hoc data requests inclusive of research, reporting, and analysis requests from recruiting team members, as well as Operations, Business Development, and other Parexel departments • Analyze recruitment data and metrics to identify trends, bottlenecks, and areas for improvement in the hiring process • Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to recruitment • Collaborate with hiring managers and recruiters to understand their needs and provide data-driven recommendations • Support the development and implementation of new recruitment strategies based on data insights • Contribute to the continuous improvement of recruitment operations through process mapping and optimization • Develop standardized tools, methodologies and business processes aimed at improving research, reporting, and analysis efficiency • Develop and present key findings and actionable recommendations to internal stakeholders, communicating the approaches taken as well as potential limitations and caveats

• Support a major civilian federal agency while leading data engineering initiatives across LMI as needed. • Optimize and modernize data pipelines to improve performance, scalability, and long-term sustainability. • Design and develop new data tools and solutions to support reporting, analytics, and business needs. • Serve as the lead Data Architect, driving tool development, solution implementation, and innovation across the division. • Apply functional knowledge of energy-related operations to inform architecture, analytics, and solution design.