Key Responsibilities:
Analytics and Insights:
Responsible for providing data-driven insights and strategic recommendations to enhance marketing effectiveness, customer engagement, and business growth by informing decision-making and optimize campaigns across all channels.
Analyze marketing performance data across channels (e.g., digital, social media, email, and offline campaigns).
Develop actionable insights to improve customer acquisition, retention, and engagement strategies.
Monitor key performance indicators (KPIs) and report on campaign effectiveness & ROI
Identify trends, opportunities, and risks through deep-dive analyses.
Work with marketing teams to optimize campaigns based on data-driven insights.
Leverage A/B testing, cohort analysis, and predictive modelling to enhance campaign outcomes.
Build and maintain marketing dashboards for real-time tracking of performance metrics
Utilize advanced analytics tools such as SQL, Python, R, Google Analytics, BI.
Involved in ML models operationalization and business value realization.
Support the development and adoption of predictive analytics, AI/ML models for mass marketing to: optimize test learn across initiatives, forecast customer behaviour, acquisition / conversion models to NFR, look alike models, MMM model etc.
Communicate and present complex data and insights in a clear and compelling way to stakeholders, using data storytelling and visualization tools
Process and Policy Development:
Support the development of RACI models to clearly define roles and responsibilities with Loyalty, Marketing, Retail, Digital (IT) and other stakeholders.
Ensure integration of data analytics functions with overall business objectives.
Stakeholder Management:
Collaborate with internal stakeholders, including retail business leads, IT, finance, and operations & external stakeholders such as advertising agencies, media agency, marketing analytics agency, consumer research etc
Serve as the primary point of contact for internal stakeholders for C Store business analytics
Qualifications:
Bachelor's degree in Data Science, Business Administration, Statistics, or a related field; MBA or equivalent advanced degree preferred.
6+ years of experience on data and analytics functions preferably in large B2C Marketing organisations or Advertising / Media Agencies
Strong strategic thinking, analytical, and problem-solving skills.
Good communication and interpersonal skills.
Ability to thrive in a dynamic and fast-paced environment.
Technical Skills
Proficiency in data analytics tools and software (e.g., SQL, Dataiku Python, R, Tableau, Power BI).
Experience with data infrastructure and cloud platforms (e.g., AWS, Azure, Google Cloud).
Knowledge of statistical analysis, machine learning, and data visualization techniques.
Experience in ML models operationalisation and business value realisation
Familiarity with data privacy regulations and best practices.
Professional Skills:
Ability to manage multiple projects simultaneously.
Expertise in data analysis, and business intelligence.
Ability to develop and implement data strategies and roadmaps.
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