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Data Analyst

2.00 to 3.00 Years   Hyderabad   13 May, 2021
Job LocationHyderabad
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT - Software
Functional AreaStatistics / Analytics
EmploymentTypeFull-time

Job Description

  • Experience in RDBMS like MS SQL Server, MySQL, PostgreSQL, MongoDB.
  • Strong analytic skills related to working with structured/unstructured datasets.
  • Ability to Write unit/integration tests, contributes to engineering wiki, and documents work
  • Extensive knowledge in Developing & Deploying SSIS Packages; log creation, checkpoints and Error Handing in SSIS packages
  • Expert in designing Parallel jobs using various stages like Join, Merge, Lookup, remove duplicates, Filter, Dataset, Lookup file set, Modify, Aggregator, XML parsing stages (Standard knowledge/experience and need not be expert)
  • Expert knowledge of SQL DDL,DML, Stored Procedures, functions, triggers, views and locks
  • Good to have experience with any visualization tool (Power BI/Tableau)/AWS Quicksight/GCP Datastudio
  • Migrating onprem datawarehouse/datamart to modern cloud data warehousing
  • Familiarity with Agile development methodologies and tools like Jira, confluence
  • Used SAS platform, macros and CRON to perform data mining, predictive modeling and statistical analysis to analyze and interpret customer behaviors, product performance, trends etc.
  • Experience using digital & statistical modeling software - R, Revo R (Preferred), SAS Basic & Enterprise Miner (Preferred), SQL (Preferred), SPSS Any of the Big Data querying language (Hive, PIG, Hadoop, etc.)
  • 4 years of experience in R/Python
  • 2-3 years of experience with a visualization tool (Power BI/Tableau)/AWS Quicksight/GCP Datastudio
Skills & ExperienceData Analysis Tools, Data Anlysis, Data Mining Analysis, Quantitative Statistical Analysis, Statistical Analysis Techniques, Technical Data Analysis,

Keyskills :
sqldata analysismicrosoft excelcustomer relationsreportingms sql servertechnical data analysisms sqlbig datasql serverdata mining

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