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Bangalore, India

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In the highly competitive world of sports, it's critical to use effective media and advertising strategies to communicate offerings to a mass audience. Nielsen Sports provides essential services to clients, helping them to measure, analyse, and interpret the effectiveness of their advertising and investments, and to make sound economic decisions.

As part of the Global Delivery Hub Project Management team, you'll build Nielsen Sports analysis used to advise clients on the exposure of their brands or platforms in media and to identify areas for improvement. You'll work closely with International colleagues to understand specific clients needs and requirements and use this information to create detailed analyses, combining data from different sources in the Nielsen Sports product portfolio.

In addition to your analytical skills, you'll have excellent communication and presentation skills, and be able to turn your analysis results into compelling stories that deliver meaningful insights and added value to our clients. You'll also have the ability to collaborate with other teams within Nielsen across the world.

General Skills/Competency

Key skills and competencies for this role include having an analytical mindset, identifying client needs, being knowledgeable in media and sponsorship, good time management and prioritization skills, and excellent communication skills to present recommendations to different audiences. You'll also need to maintain an internal and external network, coordinate ongoing client projects, and continually expand your knowledge of client business issues and needs, Nielsen Sports products, and the media and advertising industry.

Furthermore, you should be digitally literate, and a driver of automation and standardised, repeatable business processes to improve efficiency and effectiveness. With your help, we can support our clients in achieving their business growth goals, and deliver high-quality services that exceed their expectations.

Roles and Responsibilities

Senior Project Manager, ResearchReports to: Delivery Team Leader (Research)

Purpose: Client-facing, liaison between clients, sales teams and onshore research team colleagues, managing client quantitative research projects and internally coordinating with diverse Nielsen Sports and external data source owners to deliver clients solutions

Skills & Experience required:

Excellent spoken and written communication skills in English and proven successful experience in a client facing role for at least one year.

Proven successful experience as a consumer research project manager, delivering complex client analytical projects, using project management platforms and managing diverse stakeholders.

Experience using Business Intelligence tools/platforms, e.g. Microsoft’s PowerBI.

Must be experienced in using SPSS files and/or Q Research software.

Experience in using Data Visualization / Dashboard platforms such as DataLion, Display R.

Must be proficient with Microsoft office – specifically Excel / .csv and Powerpoint.

Proficiency with Excel, including pivot tables, macros and advanced formulae.

Good grounding in custom research principles, methodologies, statistical techniques.

Enthusiastic and proactive personality with good problem-solving skills.

Flexible availability during synchronized work hours with the MR team for real-timecommunication and swift responses to project requirements.

Dedicated to maintaining high-quality standards with meticulous attention to detail.

Strong organizational and project management skills able to work on multiple projects simultaneously.

Time management skills - of both your own time and in setting realistic commitments, deadlines and delivery to other internal stakeholders.

Ability to analyse, interpret and leverage research data to derive strategic insights and recommendations related to client objectivesPro-active mindset and ability to think laterally in relation to tasks and requirements.

Bachelor degree or higher in a subject where both extensive written and verbal communication skills and advanced mathematical analytical skills are key

Also desirable..Experience of data analysis programming languages a plus: R, Python, SQLFamiliar with analytic techniques such as Regression / Segmentation / TURF Analysis /Conjoint Analysis / Max DiffExperience in scripting online surveys.

Strong understanding of international sports events, teams and leagues.

Estimated Salary range:

Our salary intelligence, powered by our AI algorithms, has calculated an estimated range for this position between $25,000 - $30,000 . Please note that the actual salary for this position may vary, as it is dependent on various factors including but not limited to experience, location, and market dynamics.

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