Marketing Analytics

Qima is seeking a Marketing Analytics & Attribution Lead to be the strategic voice guiding our marketing performance insights. Youll transform fragmented data from legacy systems and multiple acquisitions into a unified actionable analytics framework that drives our priorities: scaling demand generation, acquiring new customers, expanding cross‑sell opportunities and targeting high‑growth opportunities. This is a high‑impact role where your insights will directly influence budget allocation, campaign strategy and revenue growth. Youll build the attribution models and measurement frameworks that help us understand whats working, whats not and where to invest next. Working closely with Marketing, Sales and Product teams youll ensure data‑driven decision‑making becomes embedded in our culture as we scale. Key Responsibilities Establish Measurement Infrastructure: Implement and maintain tracking across websites, landing pages and marketing touchpoints; Ensure proper tagging, UTM parameters and event tracking; Audit and improve data quality with engineering teams; Set measurement standards across divisions and acquisitions. Build & Optimize Attribution Models: Design multi‑touch attribution models that measure marketing contribution across the customer journey; Establish attribution methodologies for both new customer acquisition and existing customer expansion; Consolidate tracking across websites, campaigns and systems from acquired companies; Create frameworks to measure marketing influence on pipeline revenue and customer lifetime value. Lead Marketing Analytics & Performance Measurement: Own analytics strategy for demand generation, paid media, content and digital campaigns; Conduct analyses to uncover insights about audience behavior, conversions and channel effectiveness; Monitor performance across channels (paid search, display, social, email, content) and collaborate on optimization recommendations. Data Visualization & Reporting: Collaborate with teams to build and maintain dashboards to track KPIs aligned with business objectives; Create compelling visualizations and analyses that tell clear stories; Deliver regular performance reports; Translate complex data into actionable insights for non‑technical audiences; Enable data access while maintaining governance. Strategic Enablement: Partner with Marketing leadership to set goals, define success metrics and align on measurement approaches; Collaborate with RevOps on closed‑loop reporting between marketing and revenue; Advise on marketing technology optimization and tool evaluation. Drive Continuous Improvement: Design experiments to optimize campaigns and customer journeys; Benchmark against industry standards and identify opportunities; Stay current on best practices, privacy regulations and analytics innovations; Champion a data‑informed culture. Qualifications 7 years of digital marketing analytics and attribution experience, preferably in B2B 5 years hands‑on experience with Google Analytics (GA4 required) and tag management systems 3 years tracking paid search (Google Ads, Bing) and paid social advertising 2 years analyzing web CRM and marketing automation data (Marketo and Zoho preferred) 2 years building dashboards and visualizations (Tableau preferred) Strong understanding of marketing mix modeling and statistical analysis techniques including customer segmentation and cohort analysis Understanding of global privacy regulations (GDPR, CCPA) and their impact on tracking Excel proficiency for ad‑hoc analysis and modeling Knowledge of fundamentals for marketing data integration, ETL processes and data warehousing platforms (Snowflake preferred) Talent for storytelling with data, making numbers meaningful and memorable to influence decisions Exceptional English‑language communication skills with ability to influence without authority Prefer experience with predictive analytics or machine learning applications in marketing Prefer experience with managing post‑acquisition analytics consolidation Additional Information Remote Work: No Employment Type: Full‑time Desired Characteristics Make it Simple: You cut through complexity to create elegant, user‑friendly solutions Beauty Everywhere: You believe systems and data should be intuitive and even delightful Embrace Change: You thrive in dynamic environments and in navigating transitions Scale‑Up Mindset: Youve implemented best practices at mid‑size or large companies and know how to bring structure without killing speed Results‑Oriented: You focus on user and business outcomes not just project completion Key Skills: Adobe Analytics, Data Analytics, SQL, Attribution Modeling, Power BI, R, Regression Analysis, Data Visualization, Tableau, Data Mining, SAS, Analytics Vacancy: 1 #J-18808-Ljbffr