Data Analyst

• 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