• Analysis using client data to solve analytic problems related to our client s business

• Distil key insights from customer data that address the objectives of the analysis and prepare client ready presentations that deliver these insights effectively

• Provide actionable recommendations to improve and or/address the business question asked

• Be able to build and use segmentations, summative analyses, and predictive modelling to deliver solutions to client challenges

• Establish a close working relationship with the client team, production and development team, collect essential information and ensure that methodologies and processes are shared and understood.

• Strong organizational skills and workflow planning are key

• Oversees the activities of the data analyst and associate data analyst personnel and ensures the efficient execution of their duties

• Process improvement through automation or integrating best practices

• Create detailed process document and QA checklist for all projects with sign-off

• Ensure quality driven execution of projects/ solutions

• Own the responsibility of processes/workstream between the onshore and offshore teams

• Identify key cross sell and upsell opportunities and act on them proactively

• SME of atleast one SRAI product and active participant in its enhancement through applying logic/data science, etc

• No non-compliance in filling timesheet or applying leaves, adhere to company policies

• Ability to work under strict deadlines with go getter attitude

• High degree of self-motivation

• Flexibility within working hours, location, and also the complexity of work

Your Profile:

• BS in Mathematics, Economics, Computer Science, Information Management or Statistics

• Data manipulation (4+ years) Analyzing large volumes of data in raw form and a solid understanding of database principles and efficiencies required

• Technical (4+ years) Experience in using a statistical package (such as R or Python); SQL is essential and highly proficient in Excel

• Written communication skills create a clear and concise project brief, and effectively put down the actionable insights and recommendation for the client deliverable

• Familiarity with retail, and particularly supermarket retail data would be beneficial

• Have background with Supermarket retailers / IRI / Nielsen / dunnhumby / CPG preferred

• Keen interest in technology

• Strong analytical and problem-solving

• Detail-oriented

• Ability to deliver well with no errors under pressure or stresses