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Metadata Information Infrastructure Manager

1.00 to 2.00 Years   Bangalore   01 Feb, 2020
Job LocationBangalore
EducationNot Mentioned
SalaryNot Disclosed
IndustryReal Estate
Functional AreaGeneral / Other Software
EmploymentTypeFull-time

Job Description

JLL, an international real estate management company, is seeking a senior analyst to join the Enterprise Analytics vertical within the Technology Data & Information Management (TDIM) arm of the organization. Enterprise Analytics is an internal consulting team that provides data driven expertise to various business and support functions. The Senior Analyst is an experienced role that combines data-driven story-telling and business process analysis. If you have a penchant for using data to drive insight which helps different functions within JLL frame decisions and drive action then this is the role for you. The successful candidate is a curious problem-solver and self-starter that thrives in a fast-paced environment.Duties & responsibilities

  • Analyzing and documenting data attributes, values, and business rules from all data sources
  • Verifying data attributes with SMEs
  • Working with data modeler to understand candidate data model and developing source to target mappings
  • Documenting data transformation needs and business rules to be applied
  • Working with Data Governance to provide quality assurance of imported data
Key Skills
  • Strong knowledge of and experience with reporting packages (Tableau, etc.), databases (SQL, etc.), unstructured data (JSON)
  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
  • Adept at queries, report writing and presenting findings
  • Strong knowledge in SQL (possibly SQL server)
  • Metadata Management Tool (Informatica is desirable). An experience in Collibra or Other Metadata management tool would also be desirable.
  • Technical expertise regarding data model design, database development, and data science techniques
Qualifications
  • Bachelor s degree in Information Science, Computer Science.
  • Minimum 6-8 years of technical work experience in the field of computer science
  • 4-5 years as a data analyst or business data analyst specifically in a data warehousing setting utilizing both onshore and offshore resources
  • 2-3 years in business requirements gathering
  • 1-2 years in Agile data warehouse build methodology
  • Good command of written and spoken English.
  • Highly motivated and accountable person
JLL Privacy NoticeJones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely.For more information about how JLL processes your personal data, please view our Candidate Privacy Statement .For additional details please see our career site pages for each country.For employees in the United States, please see a fully copy of our Equal Employment Opportunity and Affirmative Action policy here .Jones Lang LaSalle ( JLL ) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process including the online application and/or overall selection process you may email us at Accommodation.Requesam.jll.com . This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.,

Keyskills :
active directorydocumentation automationbasis capacity planninginternational real estate equal employment opportunitydata scienc

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