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TIAA

Analyst - Audience Analytics

Posted 7 Days Ago
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Hybrid
Mumbai, Maharashtra
Senior level
Hybrid
Mumbai, Maharashtra
Senior level
The role focuses on executing marketing strategies and client engagement initiatives utilizing data analytics, campaign management, and collaboration across teams. It involves data management practices and supporting reporting functions to facilitate data-driven decision-making, while contributing to effective client segmentation and campaign execution.
The summary above was generated by AI

Manager - Marketing Automation - IN
This Client Marketing role supports the execution of strategic initiatives in partnership with Marketing and Distribution colleagues aimed at acquiring, developing and retaining clients. By utilizing traditional as well as dynamic methods, such as client segmentation, marketing automation, digital and social methods, this job aims to execute campaign deliverables that deliver high-quality leads to the sales organization.
Key Responsibilities and Duties

  • Assists in the execution of Go-To-Market plan deliverables, including defining requirements, coordinating timelines, removing roadblocks, managing compliance and legal review processes, and facilitating the hand-off between teams for execution.
  • Establishes and maintains strong working relationships and collaboration with sales organization and business partners.
  • Contributes to journey mapping for their respective audience segmentation – including identifying gaps, pain points, positive experiences, and identifying opportunities for future state needs.
  • Assists with campaign execution in partnership with functional marketing team members.
  • Understands departmental measurements and KPIs based on overall business goals.
  • Provides tactical and custom marketing support aligned with Client marketing support model in partnership with functional areas of marketing.

Educational Requirements

  • University (Degree) Preferred

Work Experience

  • 5+ Years Required; 7+ Years Preferred

Physical Requirements

  • Physical Requirements: Sedentary Work


Career Level
9PL

  • Job Profile Summary

    Job Profile Summary

    The Data Analysis job assists in the data management and reporting projects to ensure that data is collected, housed and used securely, efficiently, and cost-effectively. Under close supervision, this job provides support with the design and implementation of data management, data storage and other business intelligence systems, and works to support the configuring, maintaining, generating and analyzing reports to guide the organization's decision making process.

  • Job Description

    Job Description

    Senior Analyst - Data Analysis - IN
    The Data Analysis job assists in the data management and reporting projects to ensure that data is collected, housed and used securely, efficiently, and cost-effectively. Under close supervision, this job provides support with the design and implementation of data management, data storage and other business intelligence systems, and works to support the configuring, maintaining, generating and analyzing reports to guide the organization's decision making process.
    Key Responsibilities and Duties
    • Assists with the implementation of data management and reporting practices and policies to support data driven decision making across the organization.
    • Collects information, analyzes data and generates reports by utilizing various data applications.
    • Runs and maintains reports, dashboards, information systems and applications to ensure efficient reporting across the organization.
    • Provides support with the development or modification of currently established data management and reporting processes and procedures to drive efficiency.
    • Explains facts, policies and practices relating to potential data management and reporting issues to ensure integrity and accuracy of data.

    Educational Requirements

    • University (Degree) Preferred

    Work Experience

    • No Experience Required

    Physical Requirements

    • Physical Requirements: Sedentary Work


    Career Level
    5IC

Related Skills

Business Analysis, Cloud Platforms, Collaboration, Communication, Data Analysis, Database Administration, Data-Driven Business Intelligence, Data Management, Innovation, Problem Solving, Programming, Statistics

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Company Overview

TIAA Global Capabilities was established in 2016 with a mission to tap into a vast pool of talent, reduce risk by insourcing key platforms and processes, as well as contribute to innovation with a focus on enhancing our technology stack. TIAA Global Capabilities is focused on building a scalable and sustainable organization , with a focus on technology , operations and expanding into the shared services business space.

 
Working closely with our U.S. colleagues and other partners, our goal is to reduce risk, improve the efficiency of our technology and processes and develop innovative ideas to increase throughput and productivity.

We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.

Accessibility Support

TIAA offers support for those who need assistance with our online application process to provide an equal employment opportunity to all job seekers, including individuals with disabilities.

If you are a U.S. applicant and desire a reasonable accommodation to complete a job application please use one of the below options to contact our accessibility support team: 

Phone: (800) 842-2755

Email: [email protected]

Privacy Notices

For Applicants of TIAA, Nuveen and Affiliates residing in US (other than California), click here.

For Applicants of TIAA, Nuveen and Affiliates residing in California, please click here.

For Applicants of TIAA Global Capabilities, click here.

For Applicants of Nuveen residing in Europe and APAC, please click here.

Top Skills

Business Analysis
Cloud Platforms
Data Analysis
Data Management
Data-Driven Business Intelligence
Database Administration
Programming
Statistics

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