Analyst
Posted on 10/14/2023
INACTIVE
IPG DXTRA

51-200 employees

Diverse communications network offering creative solutions
Company Overview
IPG DXTRA stands out as a global leader in the communications industry, offering a unique blend of expertise in PR, branding, digital, experiential, influencer, and entertainment sectors. The company's competitive advantage lies in its ability to deliver creative and impactful solutions at the speed of culture, ensuring clients stay relevant and ahead of the curve. Its commitment to learning and sharing knowledge further fosters a culture of continuous growth and collaboration.
Consulting

Company Stage

N/A

Total Funding

N/A

Founded

2006

Headquarters

New York, New York

Growth & Insights
Headcount

6 month growth

-6%

1 year growth

-20%

2 year growth

-29%
Locations
New York, NY, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Data Analysis
Data Science
Google Analytics
Marketing
R
REST APIs
SQL
Tableau
Python
CategoriesNew
Data & Analytics
Requirements
  • Strong interest and capacity to translate data and research into strategic insights and recommendations
  • Passion for working with data and deriving insights to answer client business questions
  • Familiarity with social listening, media analytics and measurement
  • Ability to work independently and in an integrated team setting
  • Strong communication (written and presentation) skills
  • Commitment to learning and the drive to take initiative
  • Strong critical thinking skills, organizational skills and attention to detail
  • 1-3 years relevant full-time experience; preferably in Marketing Analytics, Marketing Science, Data Science or Performance Marketing fields
  • Experience with data visualization tools including but not limited to: Tableau, Google Data Studio, Domo, Excel, etc
  • Able to leverage scripting to automate analyses, data cleansing or data integration tasks
  • Comfort with working in and contributing to a fast-paced, team environment
  • Desire and capacity to take full ownership of work tracks and mentor more junior staff
Responsibilities
  • Lead day-to-day project delivery, coordinating with clients and the rest of your Weber Shandwick teammates to establish partnerships and prove value/ROI, infusing all aspects of the work with data-driven insights and measurement
  • Work with Analytics + Intelligence teammates to create visually compelling reporting and actionable insights that allow clients to easily evaluate communications, media and/or site performance relative to business objectives
  • Team up with data scientists and senior intelligence leads to design and develop analyses, identifying and articulating insights and building narratives that move internal and external audiences to act on our recommendations
  • Evangelize the use of data to inform decision-making at all levels internally and externally
  • Interrogate multiple sources of information/data to look for trends within social and earned media, using tools such as Talkwalker, Quid, and Trendkite
  • Fully utilize tools and platforms designed to automate and accelerate data collection, integration and analysis. Examples: Google Analytics, Domo, Google Data Studio, Tableau, etc
  • Leverage a variety of descriptive and inferential statistical methods to analyze data from multiple online sources
  • Manage reporting tasks and data flows for media, site and social listening insights and reporting
  • Educate non-technical account team members on key requests and analysis process
  • Manage and build relationships with clients and internal account management teams
  • Participate in business development activities, including scope design, strategic analysis, slide preparation and work planning
Desired Qualifications
  • Bachelor's degree with major in business or STEM preferred, Masters is a plus
  • Experience with social listening tools such as Quid, Brandwatch, TalkWalker, Netbase, Sprinklr and Trendkite is a plus
  • Experience with relational databases and statistical analysis/programming languages such as SAS, SQL, R or Python is a plus