Associate, Data Analytics
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Job Location:
Monthly Salary:
Posted on:
10 hours ago
Vacancies:
1 Vacancy
Job Summary
About this role
The HPS/BlackRock Transaction brings together BlackRocks corporate and asset owner relationships with HPSs diversified origination and capital flexibility. BlackRock and HPS have formed a new private financing solutions business unit (PFS) led by Scott Kapnick Scot French and Michael Patterson creating an integrated franchise with approximately$370 billionin client assets including$205billionof private creditassets.Thiscombined platform which has more than 590 investment professionals and approximately 1300 employees globally offers broad capabilities across senior and junior credit solutions asset-based finance real estateCLOsand GP-LP solutions. As part of the HPS/BlackRock Transaction Scott Kapnick Scot French and Michael Patterson have joined BlackRocks Global Executive Committee and Scott Kapnick has been appointed as an observer to the BlackRock Board.
About the team
The IT Data Analytics teamis responsible forsourcingprocessingdistributingdata internally and externally. The team covers data needs across all aspects of investment analysis portfolio management back-officeprocessing investor reporting and regulatory filings. Data Analytics team members collaborate closely with SMEs across Front Office Backoffice Investor Relations Tax Legal Management Company in delivering data reporting and analytics technology solutions.
PFSis seeking an Associate IT Data Analytics to join the firms technology organization in Mumbai. This role is primarily analytics engineeringfocused with responsibility across data engineering analytics modeling business intelligence and support forAIenabledanalytics use casessupportingHPSsPublic & Private Credit CLO and Long/Short Credit investment platforms.
The Associate will work closely with senior analytics engineers business users and offshore/onshore development teams to buildanalyticsreadydatasets dashboards and reporting solutions used by Portfolio Management Risk Operations Finance and Investor Relations.
Responsibilities
Specific responsibilities will include but not be limited to the following:
Build andmaintaindata transformations curated datasets andanalyticsreadytables used for reporting and analysis.
Develop and enhance dashboards and reports usingSigmaPowerBIor similar BI platforms.
Support semantic modeling metric definitions and standardized analytics outputs.
Assistwithintegratingthirdpartydata sources into analytics workflows.
SupportAIenabledanalytics by preparinghighqualityanalyticsreadydata inputs.
Assistwith incorporatingAIdriveninsights or outputs into dashboards and reporting workflows.
Learn and apply best practices around data quality explainability and governance for AI use cases.
Work with business users to understand reporting needs and translate them into technical requirements.
Supportadhocanalysis and data validation requests.
Skills and Qualifications Required
5 years of relevant experience in data analytics analytics engineering BI or data engineering.
Strong SQL skills and experience working with analytical datasets.
Handsonexperience with BI tools such as Power BI Tableau or Qlik.
Exposure to cloud data platforms (Azure Snowflake or similar) is a plus.
Interest or exposure toAIenabledanalytics or advanced analytics is a strong plus.
Financial services experience (credit or asset management preferred) is a plus.
Strong written and verbal communication abilities and inter-personal skills
Highest degree of business ethics and professionalism
Ability to perform business analysis as well as manage andmaintainvarious user relationships
Bachelors or mastersdegree in computer science Engineering or related field coupled with an MBA from a tier I (IIT / NIT / BITS / equivalent) or (IIM / ISB / XLRI / equivalent) is preferred.
Our benefits
To help you stay energized engaged and inspired we offer a wide range of benefits including a strong retirement plan tuition reimbursement comprehensive healthcare support for working parents and Flexible Time Off (FTO) so you can relax recharge and be there for the people you care about.
Our hybrid work model
BlackRocks hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person aligned with our commitment to performance and innovation. As a new joiner you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
About BlackRock
At BlackRock we are all connected by one mission: to help more and more people experience financial well-being. Our clients and the people they serve are saving for retirement paying for their childrens educations buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
This mission would not be possible without our smartest investment the one we make in our employees. Its why were dedicated to creating an environment where our colleagues feel welcomed valued and supported with networks benefits and development opportunities to help them thrive.
For additional information on BlackRock please visit @blackrock Twitter: @blackrock LinkedIn: is proud to be an Equal Opportunity Employer. We evaluate qualified applicants without regard to age disability family status gender identity race religion sex sexual orientation and other protected attributes at law.
Required Experience:
IC
About Company
BlackRock is one of the world’s preeminent asset management firms and a premier provider of investment management. Find out more information here.
