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Manager, Marketing Effectiveness

Nielsen

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Job Details

Location: Level 2, Building B/11 Talavera Rd, Macquarie Park NSW 2113, Australia Posted: Sep 26, 2020

Job Description

Manager, Marketing Effectiveness - 70081

Analytics - Australia

About This Job

The Nielsen Marketing Effectiveness team improve clients’ return on marketing investment from planning to delivery. We deploy cutting edge techniques that ultimately provide the best understanding of how the
modern consumer interacts with media content. Our work ranges from complex market mix modeling and advanced analytic consulting to measuring the effectiveness of TV and digital advertising, right through to solutions that provide longitudinal analysis on consumer behaviors and attitudes in relation to products and media.


Responsibilities

  • Responsible for establishing and managing strong client relationships to drive client retention as well as business expansion.
  • Develop and lead client teams through designing, executing and presenting analytic studies to meet clients’ research objectives on the fast-moving digital landscape
  • Deliver insights and recommendations on industry-leading Multi-Touch Attribution, Marketing Mix and Lift analytics
  • Penetrate and establish enduring client relationships with senior decision-makers at clients by demonstrating on-going value by driving client outcomes
  • Ensure pro-active insights and action-oriented solutions are delivered to the team by being an expert with an ability to explain methodology behind key analytics to clients
  • Partner with clients to provide the best marketing plan based on the results of analysis and optimizations
  • Develop decks to report results & provide advice, and present to the client
  • Develop recommendations based on the insights derived from the analysis
  • Collaborate with other Nielsen teams to provide holistic support to clients.

A Little Bit About you

Turn complexity into simplicity and show clients how to spend their marketing dollars. We’re looking for a manager-level analyst to work with our Marketing Mix Modelling solution in Sydney.
You are a consultative, client-facing individual with some experience managing complex projects. Ideally, you have a bit of experience working with analytic consulting and specifically marketing mix modeling, or a similar field. You’ll be able to communicate complexity in a simple way.

Requirements

  • Bachelor degree required (economics or statistics preferred), the advanced degree also preferred
  • Minimum 4 years of marketing research, econometric analysis or analytics experience.
  • Ideally, some experience working with or selling analytical techniques, such as regression modeling, attribution modeling or other forms of measuring Return on Marketing Investment (ROMI) or a related / comparable field.
  • Enjoy being hands-on with data and analysis
  • Enthusiasm for applying statistical analysis to address business issues
  • Comfortable working with large data sets
  • Well-organized and detail-oriented, capable of handling several projects at a time while meeting deadlines
  • Strong communication and presentation skills
  • Strong technical market research skills
  • Strong project management skills

Salary Range
85,999 - 89, 999 AUD Per Annum

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ABOUT NIELSEN

We’re in tune with what the world is watching, buying, and everything in between. If you can think of it, we’re measuring it. We sift through the small stuff and piece together big pictures to provide a comprehensive understanding of what’s happening now and what’s coming next for our clients. Today’s data is tomorrow’s marketplace revelation.

We like to be in the middle of the action. That’s why you can find us at work in over 100 countries. From global industry leaders to small businesses, consumer goods to media companies, we work with them all. We’re bringing in data 24/7 and the possibilities are endless. See what’s next with us at Nielsen: careers.nielsen.com

Job Type: Regular

Primary Location: Macquarie Park

About Nielsen

Nielsen knows what people watch, listen to and buy

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