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Logistics Data Analyst

Circlek Open
Support Office India Full-time Mid-level Data Analysis & BI

At a glance

Mid-level Data Analysis & BI role at Circlek. Support Office India · full-time.

Pay not stated Data Analysis & BI salary

RoleData Analysis & BI
SeniorityMid-level
LocationSupport Office India
EmploymentFull-time
PostedSep 28, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Check order records against vendor invoices and confirm the account codes are correct
  • Compare actual costs with plans and forecasts, then flag variances and suggest next steps
  • Build repeatable reports on financial measures and vendor performance
  • Turn large datasets into executive dashboards, business cases and recommendations for senior stakeholders
  • Work with business teams and vendors to resolve project issues and improve logistics processes

What you bring

  • At least two years of work in financial reporting or data analytics
  • A bachelor's or master's degree in finance, industrial engineering, data analytics or data visualization
  • Practical skill with Power BI and Excel

Who this fits

This mid-level role suits an organized analyst who can manage competing priorities and work independently in a demanding environment. You'll collaborate with business stakeholders, internal teams and vendors, and serve as a first contact for project-related escalations.

From the employer

Job Description

Alimentation Couche-Tard Inc., (ACT) is a global Fortune 200 company. A leader in the convenience store and fuel space, ACT’s retail network includes ~16,700 convenience stores, and has footprint across 31countries and territories primarily under the Circle K brand. Circle K India Fuels & Logistics team is an integral part of ACT’s Global Fuels & Logistics Team, and the Logistics Data Analyst will be a key player on this team supporting with logistics financial and performance analytics and reporting and help grow F&L globally at ACT.

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

About the role

The incumbent will be responsible for validation, verification, and visualization of the tasks performed by third-party and in-house vendors. Primary duties include working with systems and financial partners to evaluate program performance and provide regular status reporting, and identifying process inefficiencies and opportunities for process optimization.

Roles & Responsibilities

Data Analysis

  • Verify order data sets with invoices received and account coding
  • Guide cost analysis process by comparing and analyzing actual results with plans and forecasts
  • Analyze results, monitoring for variances, identify trends, and provide recommended actions to key partners
  • Develop scalable and sustainable reporting tools for both financial metrics and vendor performance
  • Collaborate actively with immediate and cross-functional teams throughout the organization and with vendor partners

Operational Excellence

  • Develop and standardize analytical tools, frameworks, and processes, to up-level and democratize analytically grounded decision making at all levels of the business
  • Challenge the status quo to advance and evolve how ACT thinks about and executes solutions across retail, marketing, merchandising, and other areas of the business
  • Identify key metrics, conduct rigorous explorative data analysis, create executive-facing dashboards and build business cases that drive decision-making and business prioritization
  • Synthesize large volumes of data with attention to granular details and present findings and recommendations to senior-level stakeholders
  • Achieve best in the industry standards by delivering actionable, data-driven insights that help understand opportunities for optimization and enable decision making
  • Analyse in-market strategic initiatives and business performance using test and control analytics, benchmarking, statistical concepts, and financial measures to guide decision making

Stakeholder Management

  • Work collaboratively across multiple sets of stakeholders – Business functions, Global F&L Team, to deliver on project deliverables
  • Proactively recommend multiple approaches along with their pros & cons to the business stakeholders and support making the right decisions
  • Collaborate closely with colleagues inside and outside Global Fuels and Circle K, to drive business results
  • Serve as first point of contact for the Business stakeholders for any technical/non-technical activities/ escalations within the project

Education

  • Master’s, or Bachelor’s degree in Finance, Industrial Engineering, Data Analytics, or Data Visualization

Relevant Experience

  • 2+ years of relevant work experience in financial reporting or data analytics
  • Proficient in Power BI and MS Excel
  • Experience with SQL server and Databricks

Behavioural Skills

  • Ability to delivery, strong disposition towards business and strong interpersonal communication
  • Individual must be organized, dependable, able to multi-task and manage priorities, display initiative, and must have the ability to work independently in a demanding, fast-paced environment

Technical Skills

  • Data Analytics, modelling & reporting
  • Data Visualization
  • Business Intelligence
  • Process & Data Governance
  • MDM – Tools & Implementation
  • Programming
  • Project Management
  • Continuous Process Improvement
  • MDM – Strategy & Concepts
  • AI & Advanced Analytics
  • Distribution Planning
  • Demand Planning

Knowledge

  • Financial Reporting
  • Data Analytics
  • PowerBi and MS Excel
  • SQL Server
  • Databricks

Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Analysis & BI

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Analysis & BI work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.