DP - Programmer

Kantar Millward Brown

Role Description

The role incumbent, as an individual contributor in a Project Team assigned to a specific geography, is passionate about delivery in Data Processing or Scripting. He/she/they are/are responsible for programming the various utilities/scripts using platforms/tools of Kantar, to collect, analyze, and visualize data. He/she/ they execute, support and document all assigned projects

Roles & Responsibilities

• Understand the Client domain, the product (Kantar viz. cross-media, Brand, Creative etc.), the project and the job-specs
• Understand end-to-end project life cycle
• Execute programming tasks/projects using standard Kantar software/technology platforms as per agreed parameters
• Responsible for execution and delivery ensuring required levels of accuracy and as per agreed timelines
• Update line manager/ project manager, at agreed frequency, especially with risk to scope, time or cost.
• Deliver to defined performance metrics and proficiencies
• Comply with defined processes, checklists, and guidelines as per ISO manual
• Interact with Stakeholders across functions within the cluster / country team
• Adhere to defined work practices viz. Time Sheets, work status, responsiveness to queries, escalation to line manager / PM
• Successful completion & certification on internal skill level trainings; SUP Intermediate Topics within specified timelines
• Any other task as provided by the Manager or the organization at any time.

Technical skills and Knowledge

• Proficiency in programming principles/concepts is essential
• Proficiency by the end of the Entry Level Training in Quantum/SPSS/Unicom (Dimension)/Nfield platforms is essential
• Proficiency in MS Office suite is essential
• Exposure to SPSS or other statistical software is an advantage
• Awareness of SQL and relational databases, Python, R, Power BI is an advantage
• Understanding of MR Industry and different phases of an MR project
• Should be able to handle Level 2 jobs independently post completion of training period, with minimal mentorship
• Good understanding of concepts like Weighting/ N2D