Pricewaterhouse Coopers Private Limited | Jobs | Data Analyst – Manager | BigDataKB.com | 18-02-22

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Job Location: Bangalore/Bengaluru

 

  • Responsible for creating, evaluating and modifying prototypes to support evolving hardware and software application development.

  • Experience in Data analysis with multi domain datasets, Data sovereignty and data governance with network and cloud technologies. Able to deliver data mapping specifications for large reporting applications.

  • Deliver useful insights to decision-makers to influence experience design strategy

  • Produce datasets and reports for analysis using analytics and various reporting tools.

  • Will be responsible in developing design concept and implementation, providing input on user design considerations, producing specifications describing user needs and internal structures for product in development.

  • Document detailed user stories in Agile Product Development methodology; Groom the user stories with cross functional teams.

  • Hands-on experience with one or more language(s) used for querying (e.g., SQL, HQL)

  • Familiarity with big-data/analytics platforms/languages like Hadoop, Snowflake, Oracle with user access management and security.

  • Work with multiple sophisticated data sets to accelerate operational and strategic data-oriented decision-making. Understand the opportunities and business drivers building insight and solutions for those through data

  • Knowledge of designing, implementing, deploying, and maintaining the ETL/ELT process and data flow, including data quality using various data integration tools.

  • Identify, analyze, and interpret trends or patterns in complex data sets using statistical techniques and provide ongoing reports and dashboards including but not limited to Tableau

  • Able to assess the effectiveness and accuracy of new data sources and data gathering techniques

  • Should have experience with database design, from requirements analysis to conceptual, logical and physical data model designs for transactional applications.

  • Able to be technically adept at learning new technologies, architectural methodologies and adapting our practices to support frequent changes in the data environment.

  • Collaborate with team members, DBAs, architects and subject area owners to create scalable data models ensuring that database designs and modeling standards are in alignment with Enterprise Modeling best practices

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