Reporting & Automation, Data/Information Management Analyst –
Analytics & Information Management (AIM), Gurugram
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Our people make all the difference in our success.
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We are seeking an experienced and strategic Data Analyst for our
Data/Information Management Team. The ideal candidate will be
responsible for driving the development and implementation of analytical
solutions to support key business objectives for Banking Operations
& Analytics as part of COO (Chief Operating Office). This role
requires a strong analyst with a proven track record of delivering
impactful insights and fostering a data-driven culture.
Roles and Responsibilities:
The Data/Information Management Analyst (Banking Operations &
Analytics) accomplishes results by contributing significantly to the
bank's success by focusing on improving efficiency, accuracy, and insights
through data and process optimization. The responsibilities involves a
blend of data analysis, report generation, and the development of
automated solutions.
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Data Collection and Analysis
: Gathering data from various sources, cleaning it, and analyzing
it to identify trends, patterns, and insights relevant to business
operations.
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Report Generation
: Designing, developing, and maintaining regular and ad-hoc reports
for different stakeholders. These reports often present key performance
indicators (KPIs), operational metrics, and financial data in an
understandable format.
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Automation Development
: Identifying manual, repetitive tasks and processes within the
organization and developing automated solutions to streamline them. This
can involve scripting, using automation tools/technologies like SQL,
SAS, Python, PySpark, Tableau etc.
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Process Improvement
: Analyzing existing workflows to pinpoint inefficiencies and
recommend improvements, often leveraging automation to achieve these.
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Dashboard Creation
: Developing interactive dashboards using reporting tools (e.g.,
Tableau, Python, Power BI) to provide real-time visibility into
performance and trends.
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Stakeholder Communication
: Presenting findings and recommendations to various departments
and management, explaining complex data in a clear and concise manner.
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System Maintenance
: Ensuring the accuracy and reliability of reporting systems and
automation tools, troubleshooting issues, and performing regular
updates.
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Documentation
: Responsible for documenting data requirements, data collection /
processing / cleaning, and exploratory data analysis, which may include
Process Automation / Optimization and data visualization techniques.
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Data Governance and Quality
: Contributing to efforts to maintain data quality, consistency,
and adherence to data governance policies.
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Data Handling
: Work with large, complex and unstructured data to evaluate, recommend,
and support the implementation of business strategies
Core Competencies:
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Data Analysis & Insight Extraction:
Proficiently applying analytical techniques to complex datasets to
fetch meaningful, actionable insights that address business questions
and drive decision.
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Data Manipulation & Querying
: Expert ability to query and manipulate data from various data sources
(using SQL/Python/R), ensuring data quality and readiness for analysis
and reporting.
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Reporting & Visualization Tools:
Expertise in using reporting & visualization platforms (e.g.,
Tableau, Power BI, Qlik Sense) to design, develop, and maintain dynamic
dashboards and reports that clearly communicate performance and
insights.
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Automation Technologies & Scripting:
Strong capability in identifying automation opportunities,
developing and implementing automated solutions using automation tools
and scripting languages, and optimizing existing automated
workflows.
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Problem-Solving:
Proactively identifying issues and developing practical,
value-driven solutions.
Qualifications:
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3+ years of experience in Reporting & Automation, Data/Information
Management Analyst roles with proficiency in business intelligence
tools/technologies like SQL, SAS, Python, PySpark, Tableau etc.
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Ability to develop scripts for automating routine tasks (e.g., Python
scripting for file processing, API integrations).
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Experience demonstrating a strong track record in developing reports,
performing data analysis, and implementing automation solutions.
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Strong understanding of reporting and automation data & analytics
ecosystem, establish a scalable analytics framework – data strategy,
process optimization, actionable insights, visualization techniques.
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Experience in Developing and Deploying AI solutions in partnership with
Tech and Business
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Experience with any banking operations (e.g., expense analytics,
movement of funds, cash flow management, fraud analytics, ROI).
Knowledge of regulatory requirements related to data privacy and
security
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AI / Gen AI proficiency and thought leadership in Financial/Business
Analysis and/or operation risk analysis with ability to impact key
business drivers
Education:
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Bachelors/University degree in STEM, Master’s degree preferred