KEY ACTIVITIES

·        You will perform analysis using client data to solve analytic problems related to our client’s business

·        Collaborate with stakeholders/ Client leads in order to understand problem statements and design & execute potential solutions

·        Distill 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

·        Strong organizational skills and workflow planning are key

·        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

·        Living Symphony RetailAI Values:

o   We build Trusted Relationships with customers

o   We openly Connect & Communicate

o   We are Always Innovating

o   We are Serious about Quality

o   We will Win Together

o   We are Enthusiastic

·        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

·        Managerial role - where he/she mentor and oversees the activities of the senior and junior data analysts personnel and ensures the efficient execution of their duties

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; MS Power BI proficiency

·        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

·        Be resilience i.e. able to recover yourself after any toughness / strong set-backs

·        Desired Skills –

o   Demonstrable experience of generating actionable insight out of data

o   Experience in team leading/ project management

o   Experience of presenting analysis to a wide non-technical audience