Ms Ms

Marketing Operations Associate, Investment Management

Ms Ms

full-time

Posted on:

Location Type: Office

Location: BengaluruIndia

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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