Details:

Key Responsibilities: 

• Identify problem areas for a specific spend category and / or across the portfolio through data insights 

• Prioritize problem areas and then craft intervention strategies either using multi-wave multi-channel communication or through changes in user experience 

• Liaise with business stakeholders to finalise intervention strategies – tactical & long term 

• Own and deliver on known business problems or marketing campaigns that are data intensive & that require near real-time data 

• Collaborate with BI / advanced analytics / data science & data engineering leads to build insights for deep dive and exploratory analyses that require minimal manual intervention to prepare 

• Collaborate with solutioning teams to create processes which consume data to drive superior user experience 

 • Work with cross functional teams like marketing operations & website development teams as the point of contact in the broader analytics team for relevant projects

Work with: Traditional dBs, NoSQL based dBs; Adobe Data Work Bench, Adobe Ultimate, Adobe Audience Manager, Adobe Mobile App Analytics

 
Internal interactions: Regularly with Air Partnerships team, Non-air Partnerships team, Marketing team, Website & mobile app development teams, Service partners, Technology partners

External interactions: Limited interactions with JP’s B2B partners in a managed environment

Team Management / Informal Mentoring opportunities: Team Management – Yes; Informal Mentoring - Yes

Qualifications & Requirements: 

• Bachelors / Masters / Ph.D. degree in Engineering, Math, Physics, Computer Science, Information Systems, Statistics, Economics, Econometrics, Applied Mathematics, Operations Research or related technical or any Degree with MBA 

 • Knowledge of RDBMS, NoSQL systems 

• Experience in working for web platforms & mobile app platforms using Google Analytics or Adobe Analytics or equivalent • Hands-on experience in delivering analytics output using R / Python / SAS / SPSS – either as predictive models, segmentation, clusters, visualisations or for reporting 

• Knowledge of statistical techniques, machine learning algorithms, data mining • Exposure to data visualisation software like Tableau / Power BI / Qlikview 

• Exposure in digital and direct communication cycles (campaign idea – data validation – roll out – tracking) 

• Good articulation and story-telling skills using data & insights • Strong individual planning and project management skills, able to manage multiple tasks and priorities 

Good to have: 

o Have used Big Data platforms to generate insights 

o Exposure to Agile methodology 

o Exposure to AI based applications &/or text mining techniques and usage of same in a live environment

Min. Qualification:

pg

Skills Required:

analytics, bigdata, excel, Power BI, Power point, predictive model, python, r, RDBMS, sas, segmentation, spss, sql, VBA