Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients' most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Job Description:

Mangement Trainee

Role Purpose:

The purpose of the role is to provide effective technical support to the process and actively resolve client issues directly or through timely escalation to meet process SLAs.

• Overview:
  This role will support Private Equity enterprise data with a focus on reconciling, validating,
  and standardizing historical and ongoing datasets. The role centers on cash activity data,
  portfolio company financial data, and other key operational datasets that require high
  accuracy, completeness, and governance oversight. This position is an analyst-level role,
  and requires strong analytical skills, attention to detail, and the ability to work within
  structured data workflows.

Key Responsibilities - - - - - - - - -:

Reconcile historical and current data, including cash activity and portfolio company
f
inancial data, across multiple internal and external sources.
Perform backfilling of historical data to ensure completeness and alignment with
current standards.
Validate data accuracy, investigate discrepancies, and coordinate resolution with
relevant teams.
Ensure timely data uploads, reconciliation cycles, and documentation of
exceptions.
Apply data governance standards, including naming conventions, quality controls,
lineage tracking, and audit requirements.
Monitor data quality metrics and maintain standardized reporting across datasets.
Provide regular status updates on reconciliation progress, issues, blockers, and
expected timelines.
Collaborate with key stakeholders to support data-related initiatives.
Contribute to process improvements for data quality, reconciliation efficiency, and
automation opportunities.

Qualifications - - - - - - -:

Bachelor's degree in Finance, Accounting, Data Science, Engineering, or a related
discipline.
1-3 years of experience in data reconciliation, data governance, data operations, or
f
inancial data analysis.
Strong analytical and problem-solving skills with a high attention to detail.
Experience working with large datasets and structured data environments.
Proficiency in Excel and familiarity with SQL or other query tools (preferred).
Understanding of financial statements, cash movements, and portfolio company
reporting (preferred).
Familiarity with private equity is a plus.

• Familiarity with 73Strings is a plus.

---

Strong communication skills and the ability to provide clear and concise status
updates.
Ability to work independently, manage priorities, and meet tight deadlines in a
fast-paced environment.

Competencies - - - - -:

Data accuracy and quality orientation
Process discipline and documentation
Logical and structured thinking
Proactive issue identification and remediation

• Collaboration across teams and time zones

Overview:

This role will support Private Equity enterprise data with a focus on reconciling, validating,
and standardizing historical and ongoing datasets. The role centers on cash activity data,
portfolio company financial data, and other key operational datasets that require high
accuracy, completeness, and governance oversight. This position is an analyst-level role,
and requires strong analytical skills, attention to detail, and the ability to work within
structured data workflows.

Key Responsibilities - - - - - - - - -:

Reconcile historical and current data, including cash activity and portfolio company
f
inancial data, across multiple internal and external sources.
Perform backfilling of historical data to ensure completeness and alignment with
current standards.
Validate data accuracy, investigate discrepancies, and coordinate resolution with
relevant teams.
Ensure timely data uploads, reconciliation cycles, and documentation of
exceptions.
Apply data governance standards, including naming conventions, quality controls,
lineage tracking, and audit requirements.
Monitor data quality metrics and maintain standardized reporting across datasets.
Provide regular status updates on reconciliation progress, issues, blockers, and
expected timelines.
Collaborate with key stakeholders to support data-related initiatives.
Contribute to process improvements for data quality, reconciliation efficiency, and
automation opportunities.

Qualifications - - - - - - -:

Bachelor's degree in Finance, Accounting, Data Science, Engineering, or a related
discipline.
1-3 years of experience in data reconciliation, data governance, data operations, or
f
inancial data analysis.
Strong analytical and problem-solving skills with a high attention to detail.
Experience working with large datasets and structured data environments.
Proficiency in Excel and familiarity with SQL or other query tools (preferred).
Understanding of financial statements, cash movements, and portfolio company
reporting (preferred).
Familiarity with private equity is a plus.

• Familiarity with 73Strings is a plus.

---

Strong communication skills and the ability to provide clear and concise status
updates.
Ability to work independently, manage priorities, and meet tight deadlines in a
fast-paced environment.

Competencies - - - - -:

Data accuracy and quality orientation
Process discipline and documentation
Logical and structured thinking
Proactive issue identification and remediation
Collaboration across teams and time zones
Deliver
No Performance Parameter Measure 1 Process No. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback 2 Self- Management Productivity, efficiency, absenteeism, Training Hours, No of technical training completed

Mandatory Skills: Financial Planning & Analysis .

Experience: 1-3 Years .

Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.