Digital Automation Specialist (1 year contract)

ResponsibilitiesDesign, develop, and optimise KNIME workflows for ETL, data automation, analytics processing, and business intelligence reporting.Build scalable data pipelines integrating databases, APIs, cloud platforms, AdTech platforms, CRM systems, and analytics tools.Develop automated dashboards, reporting frameworks, and marketing intelligence solutions using KNIME, SQL, GA4, Tableau, Power BI, or similar platforms.Analyse digital advertising performance including CTR, CPM, CPC, CPA, ROAS, attribution, conversion trends, and audience behaviour.Manage AdTech operations including campaign trafficking, tracking implementation, QA validation, optimisation, and measurement.Implement and troubleshoot tracking frameworks including GTM, pixels, UTM parameters, JavaScript tags, SDK tracking, and conversion APIs.Apply AI/ML techniques, predictive analytics, and Generative AI solutions to automate reporting, enhance insights generation, and improve marketing decision-making.Develop AI-assisted analytics workflows using LLMs for data interpretation, automated insights, content analysis, and business intelligence use cases.Perform audience segmentation, anomaly detection, forecasting, and campaign optimisation using data-driven modelling approaches.Collaborate with Marketing, Product, Engineering, and Data teams to deliver automated analytics and AI-powered solutions.Maintain workflow governance, technical documentation, data quality standards, and analytics best practices.RequirementsBachelor’s degree in Computer Science, Data Analytics, Business Analytics, Media Science, Marketing Technology, or related fields.Min 2 years of experience in analytics automation, AdTech or digital intelligence roles.Hands-on experience with KNIME Analytics Platform and workflow automation.Strong SQL skills with experience in ETL, data transformation, data modelling, and analytics engineering.Experience with Python, data science libraries, or scripting for automation is preferred.Experience applying AI/ML concepts including predictive modelling, classification, clustering, recommendation systems, or automated analytics solutions.Exposure to Generative AI, LLM-based applications, prompt engineering, AI agents, or AI-assisted reporting workflows is preferred.Strong knowledge of AdTech ecosystems including Google Ads, Google Ad Manager, Meta Ads, TikTok Ads, DSPs, and measurement platforms.Experience with APIs, data pipelines, tracking technologies, and marketing data integrations.Proficiency with analytics and BI tools such as GA4, Tableau, Power BI, Looker Studio, or equivalent platforms.Strong analytical, problem-solving, and stakeholder communication skills with the ability to translate data into actionable insights.