Posted:4 days ago|
Platform:
Work from Office
Full Time
Position Summary This position is part of the technical leadership in data warehousing and Business Intelligence areas. Someone who can work on multiple project streams and clients for better business decision making especially in the area of Lifesciences/ Pharmaceutical domain. Job Responsibilities o Technology Leadership – Lead guide the team independently or with little support to design, implement deliver complex cloud data management and BI project assignments. o Technical portfolio – Expertise in a range of BI and data hosting technologies like the AWS stack (Redshift, EC2), Snowflake, Spark, Full Stack, Qlik, Tableau, Microstrategy o Project Management – Get accurate briefs from the Client and translate into tasks for team members with priorities and timeline plans. Must maintain high standards of quality and thoroughness. Should be able to monitor accuracy and quality of others' work. Ability to think in advance about potential risks and mitigation plans. o Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Must be able to guide team members in analysis. o Handle Client Relationship, P&L – Manage client relationship and client expectations independently. Should be able to deliver results back to the Client independently. Should have excellent communication skills. Education BE/B.Tech Master of Computer Application Work Experience Minimum of 5 years of relevant experience in Pharma domain. TechnicalShould have 15 years of hands on experience in the following tools Must have working knowledge of toolsAtleast 2 of the following – Qlikview, QlikSense, Tableau, Microstrategy, Spotfire Aware of techniques such asUI design, Report modeling, performance tuning and regression testing Basic expertise with MS excel Advanced expertise with SQL FunctionalShould have experience in following concepts and technologies Specifics Pharma data sources like IMS, Veeva, Symphony, Cegedim etc. Business processes like alignment, market definition, segmentation, sales crediting, activity metrics calculation 0-2 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company1-3 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company3-5 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company3-5 years of relevant experience in a large/midsize IT services/Consulting/Analytics Company Behavioural Competencies Project Management Communication Attention to P&L Impact Teamwork & Leadership Motivation to Learn and Grow Lifescience Knowledge Ownership Cultural Fit Scale of resources managed Scale of revenues managed / delivered Problem solving Talent Management Capability Building / Thought Leadership Technical Competencies AWS KnowHow Formal Industry Certification AWS Certified Cloud Practitioner Snowflake Data Engineering Data Governance Data Modelling Data Operations (Service Management) Data Warehousing & Data Lake Databricks Dataiku Formal Industry Certification Informatica_Cloud Data Warehouse & Data Lake Modernization Master Data Management Patient Data Analytics Know How Pharma Commercial Data - US Pharma Commercial Data - EU
Axtria
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