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Barclays Off Campus Drive 2025 | Data Analyst | Pune | Placement Officer
Summary:
Barclays is conducting an Off Campus
Drive for the role of Data Analyst in Pune. This
is a permanent position within the Data & Analytics team, offering a
fantastic opportunity to build a career in the data-driven world of finance.
The role requires candidates with strong technical skills in SAS and
SQL, along with excellent stakeholder management abilities. The application
was posted on September 17, 2025. This guide provides a complete
breakdown of the job description, essential skills, pro tips to craft a winning
application, and answers to key FAQs.
Detailed Job Description: Data Analyst
Company: Barclays
Role: Data Analyst
Location: Pune, India
Reference Code: JR-0000072039
Business Area: In Business BSS
Area of Expertise: Data & Analytics
Contract: Permanent
Date Live: 09/17/2025
Role Overview:
As a Data Analyst at Barclays, you will be at the heart of ensuring data reliability and trustworthiness. You will be responsible for implementing data quality processes, extracting actionable insights, and using advanced analytical techniques to solve complex business problems. This role involves close collaboration with tech teams and stakeholders to maximize business impact and drive innovation in Barclays' digital landscape.Key Responsibilities:
·
Investigate and analyze data
issues related to quality, lineage, controls, and source identification.
·
Execute data
cleansing and transformation tasks to prepare data for analysis.
·
Design and build data
pipelines to automate data movement and processing.
·
Develop and apply advanced
analytical techniques, including machine learning and AI, to solve business
problems.
·
Document data
quality findings and recommendations for improvement.
·
Collaborate closely
with the Data Solutions and Services team, tech, and key stakeholders.
Essential Skills and Eligibility Required
Mandatory Requirements:
1. Technical Skills:
o Strong knowledge of SAS and SQL. This
is the core technical requirement.
2. Stakeholder Management:
o Experience working with a range of
stakeholders and building effective relationships across the business and
geographies.
3. Soft Skills:
o Good communication and stakeholder management skills.
o Must be a Team Player.
Desirable Skills (Good to Have):
·
Experience
with Business Objects.
·
Experience
with Sharepoint.
Behavioral & Leadership Expectations:
·
Demonstrate Barclays
Values: Respect, Integrity, Service, Excellence, Stewardship.
·
Demonstrate the
Barclays Mindset: to Empower, Challenge, and Drive.
·
Ability to manage
own workload, take ownership, and collaborate effectively.
·
Strong sense of risk
management and control.
Pro Tips to Apply for the Role and Ace the Process
1. Tailor Your Resume for Data Analytics: Prominently
feature your experience with SAS and SQL. Mention specific projects
where you used these tools for data extraction, transformation, cleansing, or
analysis. Quantify your impact if possible (e.g., "Improved data
processing efficiency by X%").
2. Highlight Stakeholder Collaboration: Barclays
places a strong emphasis on this. Prepare examples from past projects,
internships, or academic work where you had to communicate with team members or
stakeholders to achieve a goal. Use the STAR method (Situation, Task,
Action, Result) to structure your stories.
3. Prepare for Technical Interviews: Be
ready for in-depth questions on:
o SQL: Complex queries, joins,
sub-queries, window functions, optimization.
o SAS: Data step processing, PROCs (like
PROC SQL, PROC MEANS, PROC FREQ), macro variables.
o Data Concepts: Data quality, data cleansing, ETL
processes, and basic data pipeline concepts.
4. Research Barclays: Understand the company's values
(Respect, Integrity, Service, Excellence, Stewardship) and its focus on
data-driven customer experience. Weaving this knowledge into your interview
answers shows genuine interest.
5. Showcase Your Problem-Solving: The
role involves investigating data issues. Be prepared to discuss how you
approach a problem with dirty or inconsistent data and the steps you take to
resolve it.
6. Apply with the Reference Code: Use
the official Reference Code: JR-0000072039 when applying on
the Barclays career portal to ensure your application is routed correctly.
Frequently Asked Questions (FAQs)
Q1: Is this role open for freshers?
A: The job description does not explicitly state the required years
of experience. However, the responsibilities suggest it could be suitable for
both freshers with strong technical skills and those with some professional
experience. The key is demonstrating proficiency in SAS and SQL.
Q2: What is the salary range for a Data Analyst at Barclays?
A: The notice does not disclose the salary. Compensation at
Barclays for entry-level data roles is competitive within the banking and
financial services industry in Pune.
Q3: What is the application deadline?
A: The "Date Live" is September 17, 2025. There is no
specified closing date, so it is advisable to apply as soon as possible.
Q4: I know Python/R but not SAS. Can I still apply?
A: The essential qualifications list "Strong knowledge
of SAS and SQL" as a basic requirement. While Python/R is
valuable, SAS proficiency is likely a non-negotiable filter for this specific
role. It is recommended to have SAS knowledge.
Q5: Where is the exact application link?
A: You must apply on the official Barclays careers website.
Search for the Reference Code: JR-0000072039 or the role title
"Data Analyst" in Pune to find the listing.
Q6: What is the selection process?
A: The process typically involves an online application, followed
by an online assessment (aptitude and technical), technical interviews focusing
on SAS/SQL, and a HR/behavioral interview.
Conclusion
The Data Analyst role at
Barclays in Pune is an excellent opportunity to launch or advance a career in
the high-stakes, data-intensive world of global finance. The position offers
the chance to work on impactful problems, develop advanced technical skills,
and be part of a culture that values integrity and excellence.
If you have a strong command of SAS and SQL, enjoy solving data puzzles, and can collaborate effectively with diverse teams, this role is tailor-made for you. By preparing thoroughly and highlighting your relevant skills and alignment with Barclays' values, you can significantly increase your chances of securing this prestigious position.
🔗 Apply Link: Click Here To Apply for Barclays
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Disclaimer
The recruitment details shared above are for
informational purposes only and have been obtained from the organization’s
official website. We do not guarantee any job placements. Recruitment will be
conducted according to the company's official process. We do not charge any
fees for sharing this job information.
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