We are seeking a Senior Marketing Analyst to join our Data group. In this role, you will be the data focal point for the Marketing team understanding their needs and translating them into actionable insights, and contribute to optimizing marketing strategies, performance, and campaigns. This is a highly visible and strategic role that offers the opportunity to shape the companys Marketing efforts through robust data analysis.
What will you do:
Analyse marketing funnels, user behaviours, and experiments to provide recommendations for improvement.
Develop and maintain complex SQL queries, dashboards, and performance reports to track key marketing KPIs, such as conversion rates, return on ad spend (ROAS), and cost per conversion (CPA).
Conduct research and ad-hoc analysis to uncover trends, measure campaign effectiveness, and optimize marketing performance (i.e., user journey, attribution models).
Collaborate with stakeholders across teams (Marketing, Sales,Product, Finance, R&D) to align on objectives, share findings, and inform decisions.
Stay ahead of industry trends and marketing analytics best practices to continuously enhance our analytical capabilities.
Requirements: Requirements
5+ years of proven experience in Marketing analytics or a related field in a SaaS company.
Very high level of SQL and data processing understanding - Working with BigQuery / Redshift / Snowflake.
Experience with BI Front tools (e.g. Looker, Tableau etc..) to create clear, actionable dashboards and reports.
Experience in Excel.
Experience with SaaS systems (e.g., Salesforce, Hubspot,Google Analytics Netsuite,etc.).
Strong analytical skills with experience in funnel analysis, campaign performance evaluation, and customer segmentation.
A proactive approach, capable of identifying opportunities for improvement and driving initiatives forward.
A team-player mindset with the ability to collaborate across departments and build strong working relationships.
Excellent communication skills to convey complex analytical findings to non-technical stakeholders.
Advantages:
MBA.
Experience in using advanced statistical techniques (e.g., regression, hypothesis testing, time series, multivariate analysis) to drive data-driven decisions.
Comfortably working within tight schedules and with ever-changing priorities
Have a proactive, problem-solving attitude.
Highly productive while working independently and as part of a team.
Experience working in a global company.
This position is open to all candidates.