Description

Required Technical Skill Set : Modern Data Analysis, Data management and Data governance

Responsibilities

Knowledge of conceptual, logical data model. Good Experience in atlleast one visualization tool (Spotfire, PowerBI) for story telling. Background in lifesciences industry and familiarity with industry standards like SDTM, OMOP
Experience with data governance
Experience with predictive analytics
Experience with machine learning algorithms e.g.: regression analysis.
Superior communcaiton skills to talk to senior data and business resources. Experience in big data technologies (e.g. Hive,Spark Impala, columnar data and row level data stores)
Experience with statistical (Process Controls) hands-on work

Experience with MDM, Metadata and data governance

Knowledge of creating ERD Diagrams
Familiarity with data management tools (Tamr, Trifacta)
Knowledge of industry wide technology strategies and best practices
Collaborate with product/program managers, software developers and researchers in an Agile/Agile SaFe Environment.
Hands-on knowledge on Cloud Environments(Azure Cloud(pref))

Must-Have

Modern Data Analysis Skills as part of DataOps teamsHive
Strong Advanced SQL
Visualization tool (Spotfire, PowerBI)
Hive,Spark Impala, columnar data and row level data stores
Data management tools (Tamr, Trifacta)

Good To Have

Java
Python
Azure or GCP data Services
Kafka
Postgres

Education

Any graduate