Senior Data Modeler & Data Analyst – Data Platform

Company: Tekgence Inc.
Job Type: Full-Time / Permanent
Experience: 8+ Years
Location: Remote (Base Location: Gurgaon)
Work Mode: Remote
Notice Period: 0–30 Days (Serving Notice Period Candidates Only)

Job Overview

Tekgence Inc. is hiring a Senior Data Modeler & Data Analyst – Data Platform for a prestigious client. This is a senior-level opportunity for professionals with strong expertise in data modeling, data analysis, data warehousing, SQL, enterprise analytics, and financial services data.

The selected candidate will support data modernization initiatives across the enterprise data platform and analytics ecosystem. The role involves working closely with Investment, Finance, Risk, Technology, Data Engineering, Architecture, and BI teams to translate complex business requirements into scalable, analytics-ready data models and data solutions.

Candidates with experience in Asset Management, Investment Banking, Banking, or Financial Services and strong knowledge of investment data domains are encouraged to apply.

Key Responsibilities

Data Modeling & Analysis

• Perform detailed data analysis across investment, accounting, and enterprise data platform domains.
• Develop conceptual, logical, and physical data models based on business and technology requirements.
• Create ERD diagrams representing entities, relationships, keys, and data grain.
• Analyze complex datasets and identify relationships, inconsistencies, and data quality issues.
• Collaborate with business and technology teams to ensure data models meet enterprise requirements.

Data Requirements & Governance

• Gather and document business requirements, data mappings, and business rules.
• Maintain data dictionaries, data lineage, model documentation, and business definitions.
• Ensure data models comply with enterprise data governance and architecture standards.
• Perform source-to-target analysis and maintain accurate model documentation.

Stakeholder Collaboration

• Partner with Investment, Finance, Risk, and Technology stakeholders to translate business needs into data solutions.
• Work closely with Data Engineers, Data Architects, Product Owners, and BI teams throughout the delivery lifecycle.
• Communicate complex data concepts effectively to both technical and business stakeholders.

Reporting & Business Insights

• Support Power BI and enterprise reporting datasets.
• Analyze business and investment datasets to investigate variances and trends.
• Provide actionable insights to business users and stakeholders.
• Support enterprise analytics and data modernization initiatives.

Required Qualifications

• 8+ years of experience in Data Modeling, Data Analysis, or Data Warehousing.
• Experience within Asset Management, Investments, Banking, or Financial Services.
• Strong expertise in conceptual, logical, and physical data modeling.
• Knowledge of facts, dimensions, relationships, and dimensional modeling.
• Strong understanding of investment data domains, including:
  • Transactions
  • Positions
  • Securities
  • Cash
  • Valuations
  • IBOR / ABOR concepts
• Experience with data mapping, source-to-target analysis, ERD creation, and data model documentation.
• Strong SQL, Excel, and Python skills.
• Experience with Snowflake or similar cloud data platforms.
• Experience with Power BI, Tableau, or similar analytics and BI tools.
• Strong stakeholder management and business analysis skills.
• Excellent written and verbal communication skills.
• Bachelor’s or Master’s degree in Finance, Engineering, Computer Science, or a related field.

Preferred Qualifications

• CFA certification or currently pursuing CFA.
• Experience with ERwin Data Modeler.
• Strong understanding of enterprise data platforms and data governance.
• Experience working with cross-functional global teams.

Who Should Apply?

This opportunity is ideal for experienced Senior Data Modelers, Data Analysts, Data Architects, Data Warehouse professionals, and Investment Data Analysts who have a strong background in financial services and enterprise data platforms.

If you have expertise in data modeling, SQL, Python, Snowflake, Power BI, investment data, and data warehousing, this remote opportunity could be a strong fit for your career.

Job Details

Apply for the Senior Data Modeler & Data Analyst Job

Interested candidates with relevant experience in data modeling, financial services, investment data, SQL, Python, Snowflake, and enterprise analytics can apply for this Senior Data Modeler & Data Analyst opportunity.

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