Middle and Back Office Data Specialist

1 week ago


Bengaluru, Karnataka, India beBeeDataAnalyst Full time ₹ 18,00,000 - ₹ 25,00,000
Job Title:
Data Analyst - Business Outcomes

Job Summary:
We are seeking a skilled Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, business acumen, and excellent communication skills.

About the Opportunity:
As a Business Data Analyst, you will play a key role in helping us make informed business decisions by analyzing complex data sets and identifying trends. You will work closely with our business stakeholders to understand their needs and develop solutions that drive business outcomes.

Key Responsibilities:
  • Collect and analyze large datasets to identify trends and insights.
  • Develop and maintain databases, dashboards, and reports to support business decision-making.
  • Work closely with business stakeholders to understand their needs and develop solutions that drive business outcomes.
  • Collaborate with cross-functional teams to implement data-driven solutions.


Requirements:
To be successful in this role, you will need:
  • At least 7 years of experience as a business technical data analyst within technology and/or business changes within the financial services or asset management industry.
  • 4-5 years of experience as a business technical data analyst adhering to agile methodology, delivering data solutions using industry-leading data platforms such as Snowflake, State Street Alpha Data, Refinitiv Eikon, SimCorp Dimension, BlackRock Aladdin, FactSet, etc.
  • Proven experience of delivering data-driven business outcomes using industry-leading data platforms.
  • Excellent knowledge of data life cycle that drives middle and back-office capabilities, including trade execution, matching, confirmation, trade settlement, record keeping, accounting, fund cash positions, custody, collaterals margin movements, corporate actions, derivations, and calculations.
  • In-depth expertise in data and calculations across the investment industry.
  • Knowledge of TPAs, how data can be structured in a unified way from heterogeneous structures.
  • Problem-solving, attention to detail, critical thinking, and technical skills.
  • Excellent hands-on SQL, advanced Excel, Python, data visualization platforms like OBIEE, Power BI, Tableau, etc., and ML (optional) and proven experience and knowledge of data solutions.
  • Knowledge of data management, data governance, and data engineering practices.


Benefits:
We offer a comprehensive benefits package, including:
  • A competitive salary and bonus structure.
  • Comprehensive health insurance and retirement plans.
  • Flexible working arrangements, including remote work options.
  • Professional development opportunities, including training and education assistance.


About Us:
Our organization is a global leader in the financial services industry, committed to making a positive impact on our clients, communities, and employees. We value diversity, equity, and inclusion, and strive to create a workplace culture that is inclusive, respectful, and supportive of all individuals.

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