Job Description
Pulled from the full job description
Work from home
Paid sick time
Food provided
Life insurance
Health insurance
Paid time off
Commuter assistance
Full job description
We are seeking a highly skilled and visionary Data Analytics Lead (Associate Architect) to drive delivery excellence and data innovation for a global capital markets client focused on private markets and alternative investment strategies. This leadership role requires a blend of deep technical knowledge, strategic thinking, and a strong background in private equity data environments.
Key Responsibilities
Leadership & Delivery:
Lead cross-functional teams of data architects, analysts, business SMEs, and engineers.
Ensure high-quality delivery through best practices in data architecture, analytics, and governance.
Foster a culture of ownership, accountability, and continuous improvement.
Strategic & Technical Oversight:
Design and implement enterprise-grade data solutions using SQL Server, Snowflake, Power BI, and Azure.
Own the end-to-end architecture and delivery of DWH, data modeling, and reporting platforms.
Align data strategies with client objectives in the private equity and alternative investment domain.
Analytics & Governance:
Translate complex business needs into scalable analytics and data-driven insights.
Establish strong data governance frameworks and ensure compliance with regulatory standards applicable to private markets.
Define KPIs and performance metrics to measure success and optimize delivery.
Innovation & Thought Leadership:
Evaluate emerging technologies in big data and analytics and assess their fit within the client's ecosystem.
Champion high standards in data quality, security, and integrity across platforms.
Required Skills and Experience
12–15 years of experience in data analytics, with at least 3–5 years in a lead/architectural role.
Proven experience with SQL Server, Snowflake, Power BI, and modern data architectures on Azure.
Hands-on expertise in data warehousing, ETL design, data modeling, and enterprise reporting.
Mandatory: Experience in Private Equity / Private Markets, including familiarity with fund structures, compliance, portfolio analytics, or investor reporting.
Demonstrated ability to lead diverse teams and manage stakeholder expectations across global offices (e.g., New York, London).
Strong understanding of data regulations and compliance frameworks applicable to financial services.
Preferred Qualifications
Certifications in Power BI, Snowflake, Azure, or data architecture frameworks.
Advanced degrees (MBA, MS in Computer Science, Finance, etc.).
Familiarity with private credit, CLOs, and alternative asset classes.
What’s in It for You
Highly competitive compensation aligned with senior-level expertise.
Opportunity to lead initiatives for a global financial client in the alternative investment domain.
Flexible hybrid work model with advanced collaboration tools.
Work alongside high-performing international teams and gain exposure to U.S. and U.K. financial markets.
Job Types: Full-time, Permanent
Pay: ₹4,000,000.00 - ₹4,500,000.00 per year
Benefits:
Cell phone reimbursement
Commuter assistance
Food provided
Health insurance
Leave encashment
Life insurance
Paid sick time
Paid time off
Provident Fund
Work from home
Schedule:
Day shift
Fixed shift
Monday to Friday
Morning shift
US shift
Supplemental Pay:
Joining bonus
Performance bonus
Quarterly bonus
Yearly bonus
Application Question(s):
Do you have 12–15 years of experience in data analytics, with at least 3 years in a lead or architectural role? How many Years?
Have you worked in Private Equity or Private Markets (e.g., fund structures, investor reporting, compliance)?
Have you led cross-functional or international teams (e.g., U.S., U.K.) in past roles?
What is your current ctc and expected?
How many days notice period you have to serve?
Work Location: In person
Work from home
Paid sick time
Food provided
Life insurance
Health insurance
Paid time off
Commuter assistance
Full job description
We are seeking a highly skilled and visionary Data Analytics Lead (Associate Architect) to drive delivery excellence and data innovation for a global capital markets client focused on private markets and alternative investment strategies. This leadership role requires a blend of deep technical knowledge, strategic thinking, and a strong background in private equity data environments.
Key Responsibilities
Leadership & Delivery:
Lead cross-functional teams of data architects, analysts, business SMEs, and engineers.
Ensure high-quality delivery through best practices in data architecture, analytics, and governance.
Foster a culture of ownership, accountability, and continuous improvement.
Strategic & Technical Oversight:
Design and implement enterprise-grade data solutions using SQL Server, Snowflake, Power BI, and Azure.
Own the end-to-end architecture and delivery of DWH, data modeling, and reporting platforms.
Align data strategies with client objectives in the private equity and alternative investment domain.
Analytics & Governance:
Translate complex business needs into scalable analytics and data-driven insights.
Establish strong data governance frameworks and ensure compliance with regulatory standards applicable to private markets.
Define KPIs and performance metrics to measure success and optimize delivery.
Innovation & Thought Leadership:
Evaluate emerging technologies in big data and analytics and assess their fit within the client's ecosystem.
Champion high standards in data quality, security, and integrity across platforms.
Required Skills and Experience
12–15 years of experience in data analytics, with at least 3–5 years in a lead/architectural role.
Proven experience with SQL Server, Snowflake, Power BI, and modern data architectures on Azure.
Hands-on expertise in data warehousing, ETL design, data modeling, and enterprise reporting.
Mandatory: Experience in Private Equity / Private Markets, including familiarity with fund structures, compliance, portfolio analytics, or investor reporting.
Demonstrated ability to lead diverse teams and manage stakeholder expectations across global offices (e.g., New York, London).
Strong understanding of data regulations and compliance frameworks applicable to financial services.
Preferred Qualifications
Certifications in Power BI, Snowflake, Azure, or data architecture frameworks.
Advanced degrees (MBA, MS in Computer Science, Finance, etc.).
Familiarity with private credit, CLOs, and alternative asset classes.
What’s in It for You
Highly competitive compensation aligned with senior-level expertise.
Opportunity to lead initiatives for a global financial client in the alternative investment domain.
Flexible hybrid work model with advanced collaboration tools.
Work alongside high-performing international teams and gain exposure to U.S. and U.K. financial markets.
Job Types: Full-time, Permanent
Pay: ₹4,000,000.00 - ₹4,500,000.00 per year
Benefits:
Cell phone reimbursement
Commuter assistance
Food provided
Health insurance
Leave encashment
Life insurance
Paid sick time
Paid time off
Provident Fund
Work from home
Schedule:
Day shift
Fixed shift
Monday to Friday
Morning shift
US shift
Supplemental Pay:
Joining bonus
Performance bonus
Quarterly bonus
Yearly bonus
Application Question(s):
Do you have 12–15 years of experience in data analytics, with at least 3 years in a lead or architectural role? How many Years?
Have you worked in Private Equity or Private Markets (e.g., fund structures, investor reporting, compliance)?
Have you led cross-functional or international teams (e.g., U.S., U.K.) in past roles?
What is your current ctc and expected?
How many days notice period you have to serve?
Work Location: In person
💡 Quick Summary
Seeking a career-building opportunity? The Data Analyst (12-15 yrs experience) position is now open for candidates interested in the Work from home Jobs sector. This role in Bangalore offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.