Lead Data Analyst

Support Office India

Circle K

Circle K is a convenience store and gas station chain offering a wide variety of products for people on the go. Visit us today!

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Job Description

Circle K (Part of Alimentation Couche-Tard Inc., (ACT)) is a global Fortune 200 company. A leader in the convenience store and fuel space, it has a footprint across 31 countries and territories. Circle K India Data & Analytics team is an integral part of ACT’s Global Data & Analytics Team and the Lead Data Analyst will be a key player on this team that will help grow analytics globally at ACT.

The hired candidate will partner with multiple departments, including Global Marketing, Merchandising, Global Technology, and Business Units.

About the role

The incumbent will be responsible for deploying analytics algorithms and tools on chosen tech stack for efficient and effective delivery. Responsibilities include delivering insights and targeted action plans, address specific areas of risk and opportunity, work cross-functionally with business and technology teams, and leverage the support of global teams for analysis and data.

Roles & Responsibilities

Analytics (Data & Insights)

  • Evaluate performance of categories and activities, using proven and advanced analytical methods

  • Support stakeholders with actionable insights based on transactional, financial or customer data on an ongoing basis

  • Oversee the design and measurement of experiments and pilots

  • Initiate and conduct advanced analytics projects such as clustering, forecasting, causal impact

  • Build highly impactful and intuitive dashboards that bring the underlying data to life through insights

Operational Excellence

  • Improve data quality by using and improving tools to automatically detect issues

  • Develop analytical solutions or dashboards using user-centric design techniques in alignment with ACT’s protocol

  • Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas

Stakeholder Management

  • Work with Peers, Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of analytical applications, from development of mock-ups and storyboards to complete production ready application

  • Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business

  • Create compelling documentation or artefacts that connects business to the solutions

  • Coordinate internally to share key learning with other teams and lead to accelerated business performance

  • Be an advocate for a data-driven culture among the stakeholders

Job Requirements

Education

  • Bachelor’s degree required , preferably in an analytical discipline like Finance, Mathematics, Statistics, Engineering, or similar

Relevant Experience

  • Experience: 7+ years for Lead Data Analyst

  • Relevant working experience in a quantitative/applied analytics role

  • Experience with programming, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Spark / SQL / Python

  • Experience in leading projects and/or leading and mentoring small teams is a plus

  • Excellent communication skills in English, both verbal and written

Behavioural Skills

  • Delivery Excellence

  • Business disposition

  • Social intelligence

  • Innovation and agility

Knowledge

  • Functional Analytics (Retail Analytics, Supply Chain Analytics, Marketing Analytics, Customer Analytics, etc.)

  • Working understanding of Statistical modelling & Time Series Analysis using Analytical tools (Python, PySpark, R, etc.)

  • Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), database management systems

  • Business intelligence & reporting (Power BI)

  • Cloud computing services in Azure/AWS/GCP for analytics

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Business Intelligence Clustering Data quality Engineering Finance GCP Mathematics MySQL Power BI PySpark Python R Spark SQL Statistics

Region: Asia/Pacific
Country: India

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