Barclays Hiring Product Developer Location: Chennai, Pune Salary Upto : Rs. 8 LPA - Rs. 12 LPA Freshers Can Apply

 Barclays Hiring Product Developer Location:  Chennai, Pune Salary Upto : Rs. 8 LPA - Rs. 12 LPA Freshers Can Apply 

 


Company : Barclays

Job Category :-  Product Developer 

Location : Chennai, Pune 

Experience : 0 Years


 Adani AI Labs Hiring  Frontend Developer Salary :  Rs. 4 LPA - Rs. 6.5 LPA B.Tech or M.Tech in Computer Science, Information Technology, degree Candidates Can Apply 



To be a successful Product Developer, you should have experience with:




• Understand, shape and transform data, to produce meaningful insights from a broad range of HR data sources and systems




• Apply automation techniques which will facilitate quick and accurate processes for data extraction, transformation and output (ETL)




• Gain a quick understanding of the problem statement, translating the desired approach into a feasible and robust technical solution




• Have a good understanding of data and metrics across a broad range of HR functions




Some other highly valued skills may include:




• Be able to communicate a technical response to a non-technical audience




• Excellent communication skills across a broad range of business areas and experience levels




• Works well within a team, taking ownership of solutions whilst supporting colleagues across the team and wider business




• Willing to lean new technologies, promoting and supporting the cross-training and upskilling of the wider team




Desirable skills/Preferred Qualifications:




• Advanced Excel




• Data Automation (Power Query, VBA, macros, etc.)




• ETL and relational data structures (SQL, data integrity, etc.)




• Data and reporting platforms (Power BI, Tableau, etc.)




• Any exposure to either Qlik Sense and/or Workday would be a bonus




• MS Power Platform exposure (Power Apps, Power Automate, etc.)




Location: Chennai




Purpose of the role




To transform raw data into useful and actionable insights that support strategic decision-making across the bank.




Accountabilities




Delivery of Business Intelligence (BI) solutions including multi-dimensional database models, data marts, data warehousing, data transforms, data analytics, and reporting solutions, to support the decision-making processes across the bank.

Execution of data extraction, cleansing and maintenance initiatives from a range of resources including internal systems, external data bases and market feeds.

Development of data models, dashboards and reports to clearly communicate the banks key business KPIs, performance, trends, and relationships to various levels of management within the bank.

Provision of responses and solutions to business requests for data analysis by building custom queries and reports to address specific questions and problems.

Monitoring KPIs against established objectives and benchmarks to identify trends, patterns and anomalies that may impact the banks performance and provide recommendations to improve highlighted processes.

Collaboration with various stakeholders to understand their data needs and provide solutions through new technologies and tools that are compliment with the banks objectives, regulatory requirements, and data governance policies.

Continual improvement and automation of reporting and metric provision across Technology.

Assistant Vice President Expectations




Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.

Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.

Take ownership for managing risk and strengthening controls in relation to the work done.

Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.

Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.

Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc).to solve problems creatively and effectively.

Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.

Influence or convince stakeholders to achieve outcomes.








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