Data Scientist

Job Title:

Location:

About the Role:

Key Responsibilities:

1. 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.

2. 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.

3. 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.

4. 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.

5. Data Integration and Automation

   : Develop and maintain automated reporting solutions, including dashboards and data visualizations, to deliver timely insights and performance metrics to stakeholders.

6. 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.

7. 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.