Analytics Saves At Work India

Job Title: Data Scientist Location: Bengaluru Experience Required: 5+ years About the Role: Analytics Saves at Work is looking for an experienced Data Scientist to lead data-driven innovation and marketing analytics. You will apply machine learning, predictive modelling, and advanced analytics to measure campaign performance, design attribution models, and drive marketing ROI. The role requires strong technical skills, business acumen, and the ability to translate insights into actionable strategies for stakeholders. Key Responsibilities: Campaign Performance Measurement : Develop and maintain a comprehensive framework to measure omni-channel campaign performance, providing actionable insights and recommendations to optimise campaign ROI and inform future marketing strategies. Marketing Attribution Modelling : Design and implement advanced marketing attribution models to quantify the impact of marketing efforts on business growth, sales funnel development, and customer acquisition. Predictive Analytics : Collaborate with marketers to develop business hypotheses and apply predictive analytics, statistical techniques, and machine learning algorithms to drive strategic decision-making and campaign optimisation. A/B Testing and Experimentation : Design, execute, and analyse A/B tests to determine cause-and-effect relationships between marketing actions and business outcomes, informing data-driven decision-making. Data Integration and Automation : Develop and maintain automated reporting solutions, including dashboards and data visualizations, to deliver timely insights and performance metrics to stakeholders. Stakeholder Collaboration : Partner with cross-functional teams, including marketing, sales, and data analytics, to drive process efficiencies, scale analytics capabilities, and communicate marketing program performance. Buyer Journey and Persona Development : Provide data-driven insights and guidance on the development of buyer journeys, personas, and content consumption strategies based on campaign performance analysis. Requirements: Master's or Advanced Degree : In a quantitative field such as Statistics, Engineering, Sciences, or equivalent practical experience. 5+ Years of Analytical Experience : Including experience in statistical modeling, A/B testing, Python, and SQL. 5+ Years of Experience with Adobe AEP, RTCDP, CJA, and Marketo Measure : Demonstrated expertise in using these tools to analyze and optimize marketing campaigns. 5+ Years of Experience with BI Tools : Such as Tableau, ThoughtSpot, Qliksense, Looker, etc. Cloud Platform Experience : Databricks, AWS Redshift, Azure, Snowflake, etc. Industry Experience : Healthcare, insurance, or financial services experience preferred. B2B Marketing Knowledge : Familiarity with B2B marketing principles and practices.