Data Analyst Job at Bengaluru Full Time

Quotient Technology Inc (NYSE: QUOT) Founded in 1998, Quotient is based in Mountain View, Calif. with offices across the U.S., and internationally in Bangalore, Paris, London and Israel. Quotient is the leading CPG and retail marketing technology provider that delivers personalized digital promotions and ads to millions of shoppers daily.

Quotient uses its proprietary Promotions, Media, Audience and Analytics Cloud Platforms and services to seamlessly target audiences, optimize performance, and deliver measurable, incremental sales for CPG and retail marketers.

Quotient’s powerful suite of capabilities includes personalized digital coupons, retailer-aligned dynamic ad messaging, influencer-led social media, data analytics and audience management. Quotient’s audience data solution is powered by 100 million verified buyer audience, derived from its Retailer iQ partnerships.

By combining technology, data and distribution, Quotient serves hundreds of CPGs, such as Clorox, Procter & Gamble, General Mills and Kellogg’s, and retailers like Albertsons Companies, CVS, Dollar General, Kroger and Walgreens.

Team Description: Quotient Operations team is responsible for the successful delivery of advertiser digital offer and media promotions. Operations consists of multiple teams located across the globe all focused on delivering operational excellence through scalable business systems, streamlined processes, and differentiating customer service.

Position Summary

You will be a key member of the Analytics & Research team, delivering critical data-driven insights across the organization as well as to our clients and partners. You will utilize Quotient’s extensive first-party and third-party data to evaluate the performance of media, promotions and advertising and its attributed impact on consumer behavior and sales. As a part of this team, you will collaborate on driving consumer focused, revenue-generating solutions across personalized promotion, media and advertisement recommendations, targeting and insights.

Responsibilities:

• Identify and assess key opportunity areas where data, analytics and science can enhance our business
• Develop hypothesis-driven analysis and statistical models to identify trends and key drivers in consumer behaviors that can be used to develop compelling value-props for the company and our clients
• Develop detailed plans for achieving desired analytics deliverables and goals
• Devise, develop, test and deploy new or innovative performance measurement methods and outputs
• Effectively engage and partner with other analytics team members, engineering, product management, marketing and sales to drive to outcomes and make an impact
• Provide comprehensive analytical and advisory services to various teams aligned with market and client specific aspects of the business
• Actively influence product roadmaps to drive higher monetization and optimization
• Drive productization of analytic capabilities in data management, modeling and insights
• Be an innovator with demonstrated ability to craft a analytics vision, get people excited by ideas and get them quickly to market via existing capabilities or new products and offerings

Qualifications:

• BS in Computer Science, Statistics, Applied Mathematics, Engineering, AI, or related areas
• Preferred MS in one of the above disciplines
• Able to analyze large data sets, preferably utilizing Excel, SQL, or R/Python
• Previous 2-4 years’ experience in applying data and science to improve products and services

with a preference for experience in digital, the consumer web, consumer goods or retail functional areas

• Solid and proven background in data mining, statistical analysis, segmentation and modeling
• Ability to grasp complex concepts and develop clear, concise, synthesized recommendations backed by data and analyses
• Experience in manipulating large data sets and analyzing them to identify actionable insights
• Understanding of programming languages
• Experience in designing, executing and measuring A/B tests for optimization models
• Exceptional collaborative, communication and presentation skills with the ability to work well across the organization driving overall shareholder value
• Strong initiative, high energy, hands-on and impeccable integrity