
Marketing Operations Associate, Investment Management
Ms Ms
full-time
Posted on:
Location Type: Office
Location: Bengaluru • India
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About the role
- Lead Data Integration Across Legacy and Golden Sources Drive business analysis for migrating product, performance, and marketing datasets from legacy systems to golden data sources.
- Partner with data, technology and platform teams to define ingestion logic, transformation rules, and data quality expectations.
- Ensure data source structures accommodate current and future Marketing use cases, including collateral, website, and reporting needs.
- Act as the Marketing representative in data integration discussions, ensuring requirements are understood and implemented correctly.
- Engage Data Owners & SMEs Across the Organization Lead structured discussions with data owners, Product teams, Performance Reporting, Distribution, and Compliance to define and validate data definitions, lineage, and approved usage.
- Build strong partnerships with data governance groups to ensure Marketing requirements are embedded in enterprise data standards.
- Translate Marketing Needs into Technical Requirements Convert marketing requirements—e.g., product facts, performance, benchmarks, disclosures, eligibility rules—into detailed functional specifications for Technology teams.
- Document data flows and mapping logic from legacy systems to Golden Sources with clarity and accuracy.
- Author user stories and acceptance criteria to support technology sprints and delivery cycles.
- Ensure End-to-End Data Quality & Governance Establish and maintain business validation rules for product data elements used in marketing.
- Collaborate with Data Quality teams to monitor completeness, accuracy, consistency, and timeliness of data across systems.
- Maintain issue logs, drive root‑cause analysis, and oversee remediation to ensure clean data flows into marketing tools and assets.
- Support enforcement of enterprise data governance policies for product and performance data.
- Establish data governance standards for product metadata, ensuring consistency across legacy systems, marketing platforms, and golden sources.
Requirements
- 5–6+ years of experience in marketing analytics, marketing technology, or data/business analysis within investment management, asset management, or financial services.
- Strong proficiency in SQL, Python and BI tools such as Power BI, Tableau, or Looker.
- Hands-on experience integrating and analyzing data from legacy data platforms to golden data sources.
- Strong understanding of investment products DATA across Equities, Fixed Income, Multi-Asset, Alternatives, and Private Markets.
- Proven ability to gather business requirements, write user stories, and collaborate with technology teams to implement solutions.
- Strong project-management skills with the ability to manage multiple workstreams under tight deadlines.
- Excellent communication skills with the ability to simplify complex data for non‑technical stakeholders.
- High attention to detail, critical thinking, and problem‑solving capabilities.
- Ability to thrive in a fast-paced, globally distributed, highly collaborative environment.
Benefits
- Some of the most attractive and comprehensive employee benefits and perks in the industry
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLPythondata integrationdata analysisdata qualitydata governancebusiness analysisfunctional specificationsuser storiesacceptance criteria
Soft Skills
project managementcommunicationcritical thinkingproblem solvingattention to detailcollaborationsimplifying complex datastakeholder engagementleadershiporganizational skills