AVP, Data Management

DM- Data analysts/architects/Scientist/Statistician are involved in data munging and data visualization. If there are requests from stakeholders, data analysts have to query databases. They are in charge of data that is scraped, assuring the quality and managing it. They have to interpret data and effectively communicate the findings. dataWrangling process of transforming & mapping data. Understand upstream and do data profiling, data mapping and Check Data Quality from Source to Target. They play a gamut of roles, from acquiring massive amounts of data to processing and summarizing it. Using analysis and analytc-software tools, analysts/architects/statisticians will analyze collected or extracted data, identifying patterns, relationships, or trends to answer data-related questions posed by administrators or business or end users. Expected to interpret the results, along with strategic recommendations or incisive predictions, using data visualization tools or reports. Optimization is must-know skill for a data analyst. Designing and deploying algorithms, culling information and recognizing risk, extrapolating data using advanced computer modeling, triaging code problems, and pruning data are all in a day’s work for a data analyst. Must Have (Experience in any of the areas)  Data Analysis, Data Mapping, Profiling  Data Mining , Data modelling, Data Standards  Data streaming, Visualization, Masking, Encrypt  Data Quality Score Cards, Data Science  Data Management, Data Governance  Dashboards, Scorecards, Sharepoint Good to have (Experience in any of the following)  SME Banking (Financial Market) <= 5yys  Data Warehousing <=8yrs  Big Data Exp <=4yrs  Master Data Management, Reference Data Management <=8yrs  Worked as SI/SA in Financial domain <=6yrs Must Have (Certified in anyone of the below but should have multiple skillset)  R, Python, Stata, WEKA, Orange(open Source)  Java, Perl, C++  Teradata  Hadoop – Cloudera  BI Tools – OBIEE, Tableau, Qlik,  ETL/ELT Tools – Informatica, ODI, Talend  DQ/DM Tools – Trillium, informatica (Any data Modelling or data profiling tools)  Data Visualization Tools (Oracle DV, Denodo, Clairvoyant, OEDQ, Paxata)  OS – Scripting (Any OS) Good to have (Experience in any of the following)  Pig,, MapReduce, Hive, Hbase <=4  MySQL, Cassandra, MongoDB, NoSQL, SQL, Matlab =<4  BigData Integration, Ingestion Framework<=4  Data Lab, Data Lake <=4  PMP, ITIL