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Innovations Analyst, Global Insights

San Francisco, CA 94103

Posted: 01/27/2023 Employment Type: Contract Job Category: Creative & Digital Marketing Job Number: 522491 Is job remote?: Yes Country: United States

Job Description

Innovations Analyst, Global Insights Strategy

 As an Innovations Analyst on the Global Insights Strategy team, you will support data science workstreams by employing quantitative analysis and data visualization skills to further up level insights deliverables that help our client's advertisers succeed on their digital platform. You will help advance the methods and tools powering insights-based narratives that help marketers understand their opportunity on the platform and plan their media campaigns via data-backed recommendations on keywords, creative, targeting, and timing.

  • Design and execute the querying and analysis of first party platform data to make recommendations that impact advertisers’ business objectives on Pinterest for key industries (e.g. Retail, CPG, Travel, Tech/Telco, Financial Services) and audiences
  • Translate data into compelling, actionable narratives that factor in unique stakeholder input and business questions
  • Work as a contributing member with Global Insights Strategy colleagues to tell holistic and compelling stories around a wide range of business opportunities on Pinterest
  • Support insights data science workstreams by conducting quantitative analysis, maintaining insights tools, and building backend data workflows
  • 2+ years relevant experience independently analyzing large scale datasets, executing quantitative research, and using data to formulate business insights. Experience in digital, social media, or advertising industry a plus
  • Expertise in data querying and manipulation in SQL and Google Sheets
  • Experience with data manipulation and visualization in Python working with data packages such as Pandas, Numpy, and Matplotlib (Jupyter Notebooks a plus)
  • Experience building dashboards in Tableau, Data Studio, PowerBI, or Plotly Dash
  • Knowledge of function creation, loops, list and dictionary comprehension, and lambda operations
  • Experience with quantitative concepts such as regression, normalization, clustering techniques and time series analysis
  • Experience with quantitative concepts such as regression, normalization, clustering techniques and time series analysis
  • Ability to connect data analysis to real business questions/objectives in order to impact business decisions
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