Senior Data Analyst

ABOUT US:

SymphonyAI Retail CPG is a global leader in AI-enabled decision platforms, solutions, and insights for driving profitable revenue growth for retailers and CPG manufacturers – from customer intelligence to merchandising, personalized marketing to supply chain. Our organization rapidly innovates to drive faster, more profitable decisions through AI, machine learning, and voice technologies.

To help high volume retailers and CPG manufacturers move beyond the hype of AI and toward the actual realization of benefits, we’ve launched a three-pronged approach to delivering profitable revenue growth -

“Identify, Activate, Realize (IAR).”

We identify growth opportunities through AI recommendations; activate plans and execute intelligent actions; realize the goal by measuring improvement in revenue and profit.

We put IAR to work each day in achieving our customer promise:

• To show profitable growth in one year for our customers
• Be the easiest to do business with
• Have the best quality and service for customer success
• To champion breakthrough AI-enabled innovation

THE OPPORTUNITY

To create actionable Insights that drive sales and customer loyalty by efficiently analysing behavioural or attitudinal data. To be the voice of the customer when looking at understanding performance of retailers, categories or brands.

​KEY ACTIVITIES

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

· Distill key insights from customer data that address the objectives of the analysis and prepare client-ready presentations that deliver these insights effectively

· 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’s 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

· 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

· 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 (3+ years) – analyzing large volumes of data in raw form and a solid understanding of database principles and efficiencies required
• Technical (3+ 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
• Be resilience i.e. able to recover yourself after any toughness / strong set-backs
• Desired Skills –
• MS PowerBI
• Demonstrable experience of generating actionable insight out of data