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Barclays
Build and maintain robust data architectures, pipelines, warehouses, and lakes, collaborate on ML model deployment, and develop strategic dashboards and reports for business insights.
Requires a Senior Data Analyst with expertise in Databricks, Snowflake, PySpark, Python, and strong SQL to build and maintain data pipelines, warehouses, and lakes, and to create strategic dashboards for business decision-making.
Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
Analyst Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Embark on a transformative journey as a "Senior Data Analyst" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionize our digital offerings, ensuring unapparelled customer experiences.
You will be part of Business Banking MI and Reporting Team, build Strategic Dashboard, perform Deep Dive Analysis for Stakeholders, Product Owner to support business decision-making. Ensure accurate and timely reports, track performance metrics, and provide insights to improve processes and outcomes.
To be successful in this role as a "Senior Data Analyst", you should possess the following skillsets:
· Databrick/Snowflake/Pyspark/Python
· Strong SQL Knowledge
· Good Data Analytical Skill
Some other highly valued skills include:
· Reporting Tool(Tableau or Power BI)
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in our Pune office.
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AI Est. Total Comp
$27,600
Location
Pune, Gera Commerzone SEZ
Work Type
On-site
Seniority
senior
Experience
5-8 years
Category
Data Engineering
Visa Sponsorship
Unknown
41 H1B cases filed
Quality Score
3.5