Data Warehouse Analyst

3 weeks ago

Hyderabad, India Anicalls (Pty) Ltd Full time
Candidate should be able to:
Develop and document standards, policies, and procedures for the form, structure, and attributes of the business intelligence tools and systems.
Interact with the user community to produce reporting requirements.
Work on multiple projects as a team member and may lead projects of moderate complexity.
Reviews and validates data loaded into the data warehouse for accuracy.
Responsible for prototyping solutions, preparing test scripts, and conducting tests and data replication, extraction, loading, cleansing, and data modeling for data warehouses.
Provide technical consulting to users of the various data warehouses and advises users on conflicts and inappropriate data usage.
Provide data warehouse architectural design, development, and support in multi-platform environments.
Performs analyses, development, and evaluation of data mining in a data warehouse environment which includes data design, database architecture, metadata, and repository creation.
Maintain knowledge of software tools, languages, scripts, and shells that effectively support the data warehouse environment in different operating system environments
Responsible for gathering and assessing business information needs and preparing system requirements.
Candidate should have:
Strong verbal and written communications, team collaboration, time management.
Demonstrated skills in leadership and training of complex technical subject matter to the audience of various levels of technical knowledge.
Intermediate to Expert knowledge of PowerBI.
Intermediate to Expert working knowledge of data warehouse and data mart concepts.
Intermediate to Expert working knowledge of Relational Database Management Systems (RDBMS) and data warehouse front-end tools
7 to 10 years of IT work experience in business intelligence tools and systems.
Intermediate to Expert working knowledge of SQL.
Intermediate to Expert working knowledge of Informatica (sustainment and Administration).
Bachelor's or Master's Degree in Computer Science/Engineering, Information Systems, Business Analytics/Intelligence, Data Science or other related fields. Equivalent work experience may be considered.

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