Join us as a "Data Analytics Assurance 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.
To be successful as a "Data Analytics Assurance Analyst" you should have
experience with:
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Applying technical and analytical expertise to exploring and examining data
with the goal of discovering patterns and previously hidden insights.
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Drawing insights from data analytics independently; coaching others to do
the same.
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Perform in-depth analysis to identify key business risks and opportunities
and make recommendations to improve risk and control environment.
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Driving optimal decision-making via the effective communication of
evidence-based, quantified conclusions.
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Identifying the relevant data points for the issue at hand; understand and
extract the required portions quickly through optimized querying of our data
storage systems.
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Manipulating data efficiently, overcoming challenges around volume.
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Identifying opportunities for data science and analytics and communicate
appropriately to stakeholders.
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Distil complex data and relationships into clear, concise charts and
visualizations.
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Being responsible for packaging conclusions and recommendations concisely,
making the appropriate actions intuitively clear for customers.
Basic/ Essential Qualifications:
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Familiarity with programming, understanding of data storage, retrieval, and
manipulation tools, such as SQL, Python, Power BI and/or cloud concepts.
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Understanding of Tableau dashboards, reports to support decision making.
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Strong management skills.
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Pro-active and delivery focused, working to high standards of performance.
Desirable skillsets/ good to have:
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Academic background in engineering (BE/ B.Tech.) or Masters in quantitative
disciplines such as Math's, Statistics, Economics or management.
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Appreciation of data and its use to support/ inform decision making.
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Ability to identify and learn emerging data analytics technologies and
utilize them to deliver practical business solutions.
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Willing to perform quantitative analysis and translate results into
meaningful business insights.
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Experience of working in a risk, control, audit function or knowledge of
financial services industry will be an advantage.
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Ability to priorities and work under pressure, delivering to tight deadlines
and multiple demands.
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Ability to influence others without formal reporting line.
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Strong interpersonal skills and ability to communicate effectively across a
global team.
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Ability to successfully multitask and complete assignments with varying lead
times.
Location-Gurugram.