Senior Associate - Data Analytics and Visualization Specialist

Education/Experience And Skills Requirement

• Willingness to work from 12:30 PM to 09:30 PM IST (i.e., UK operational hours)
• Bachelor’s degree in data science/statistics, economics, computer science, marketing or related field
• 2-4 years of experience in marketing analytics, business intelligence or data analysis
• Strong proficiency in Excel and data visualisation tools such as Looker Studio, Tableau or Power BI
• Experience with CRM tools (e.g., Salesforce), marketing automation platforms (Pardot, Marketo, Adobe, etc.) and/or website analytics tools (e.g., Google Analytics)
• Familiarity with marketing key performance indicators, campaign performance metrics and business-to-business marketing funnels
• Experience in enterprise-level environments with integrated MarTech stacks
• Strong understanding of data structures and proficiency in querying and analysing data using SQL
• Experience working with cross-functional or global teams
• Proficiency in Python programming (preferred)
• Excellent written and verbal communication skills
• Ability to communicate progress promptly and effectively, seeking clarification when necessary to ensure expectations are met
• Eye for detail
• Ability to work independently and manage tasks in different time zones

Responsibilities

• Support the creation and maintenance of dashboards, reports and marketing performance scorecards using tools such as GA4, Looker Studio, Google Search Console, Tableau, Excel and Salesforce
• Analyse web, email, customer relationship management (CRM) and social media data to provide actionable insights that guide business decisions
• Collaborate with the AVP Analytics Specialist and the Digital team to deliver regular performance reporting to stakeholders across the marketing, sales and product teams
• Assist in the design and execution of A/B tests, campaign tracking, creation of the urchin tracking module and other data-driven experiments
• Ensure data accuracy and consistency across platforms by conducting routine quality checks and reconciliations
• Document analytics processes and maintain reporting templates for scalability and repeatability
• Collaborate with global team members across time zones to support marketing and sales enablement goals