Analytics & Insights Manager (C-Store)

Description

• Work with the Digital team to maintain data hygiene and address day to day operational challenges / bugs in retail data
• Proactively monitor unusual trends in data and report findings to the business teams
• Serve as the primary point of contact for internal stakeholders for C Store business analytics
• Support the development and execution of data-driven strategies and tactics
• Lead the definition and scoping of dashboard requirements in alignment with business needs, including identifying key data elements, formats, and frameworks. Coordinate with digital for dashboard development and oversee testing and acceptance prior to deployment.
• Generate reports to communicate key metrics and findings to stakeholders using data analytics / visualisation tools / dashboards
• Support the development of RACI models to clearly define roles and responsibilities with Retail, Digital (IT) and other stakeholders.
• Analyze customer behavior, sales data using various data sources and tools
• Support the development and adoption of predictive analytics, AI/ML models to optimize demand forecasting, inventory management and key metrics.
• Serve as the primary interface with business stakeholders to translate complex data into clear, actionable insights
• Maintain all data refresh activities as per agreed frequency and identify trends / outcomes from the same.
• Generate insights and recommendations to answer critical business questions
• Collaborate with internal stakeholders, including retail business leads, IT, finance, and operations.
• Design and implement A/B testing, surveys, and experiments to measure the impact of business decisions
• Analyse product, category, location level sales data to generate actionable insights
• Collaborate with team members across Retail to understand their data needs, define key metrics, and deliver actionable insights that drive day to day and strategic decisions and drive business growth
• Ensure integration of data analytics functions with overall business objectives.
• Communicate and present complex data and insights in a clear and compelling way to stakeholders, using data storytelling and visualization tools.

Requirements

• Ad hoc data reports, data summarization, hypothesis testing to support business needs
• Ability to thrive in a dynamic and fast-paced environment.
• Good communication and interpersonal skills.
• Strong strategic thinking, analytical, and problem-solving skills.
• 8 years of experience on data and analytics functions preferably in Retail, experience of convenience retail and/or car-services business will be a plus
• Skillset – Preferably Engineer with specialisation in Analytics, Strong commercial acumen and deep business understanding
• Proficient and Handson experience on SQL, Python, R, BI tools, Dataiku platform
• Bachelor’s degree in data science, Business Administration, Statistics, or a related field; MBA or equivalent advanced degree preferred
• Experience in ML models operationalization and business value realization

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance