Circle K Recruitment Drive; Hiring Associate Data Analyst – Apply Now

Associate Data Analyst (Enterprise & Reporting) Job Openings in Gurgaon 2026!!!

Circle K announced job vacancy for the post of Associate Data Analyst - Enterprise & Reporting. The place of posting will be at Gurgaon. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows

Company Overview

Name of the Company	Circle K
Required Qualifications	Graduate
Skills	Spark / SQL / Python
Category	Data Analysis
Work Type	Onsite

The India Data & Analytics Global Capability Centre (D&A GCC) is an integral part of ACT’s Global Data & Analytics Team, and the Associate 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.

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.

Job Details

Θ Positions: Associate Data Analyst - Enterprise & Reporting

Θ Job Location: Gurgaon

Θ Salary: As per company standards

Θ Job Type: Full Time

Θ Requisition ID: R561240

Roles and Responsibilities:

Analytics (Data & Insights)

• Clean and organize large datasets for analysis and visualization using statistical methods; verify and ensure accuracy, integrity, and consistency of data
• Identifying trends and patterns in data and using this information to drive business decisions
• Create the requirement artefacts e.g., Functional specification document, use cases, requirement traceability matrix, business test cases and process mapping documents, user stories for analytics projects
• Build highly impactful and intuitive dashboards that bring the underlying data to life through insights
• Generate ad-hoc analysis for leadership to deliver relevant, action-oriented, and innovative recommendations

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 high-performing Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of visual 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

Behavioral 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 using Analytical tools (Python, PySpark, R, etc.)
• Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems
• Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)
• Cloud computing services in Azure/AWS/GCP for analytics

Education

• Bachelor’s degree in computer science, Information Management or related technical fields

Experience

• 1 - 2 years for Associate 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

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