Business Analyst (Partnership)

3 Months ago • 3 Years + • Campaign Management • Data Analyst

Job Summary

Job Description

The Business Analyst (Partnership) is a key function on Appier’s global partnership team. This role involves providing in-depth business recommendations based on data analytics, influencing product designs and AI algorithms, and establishing cross-functional business operations to maximize campaign performance and partner yield management. Responsibilities include maintaining close relationships with Biz Dev and commercial teams, conducting research and market analysis, tracking key performance indices, providing actionable business recommendations, working across business, product, and campaign management teams to improve product and revenue, and refining inventory breakdown and territory management.
Must have:
  • Creative problem solver
  • Self-motivated and self-driven
  • Logical thinker with a statistical or business development background
  • Passion for working with big data and analyzing data for insights
  • Team player with ability to work with internal and international teams
  • Quick learner who enjoys using new tools and software
  • 3+ years of work experience
  • Data analysis or sales operation experience preferred
  • Proficiency in creating reports
  • Digital advertising/RTB/Programmatic buying experience is a plus
  • BA/BS degree or related experience
  • Excellent written and oral communication skills in English
  • Additional language proficiency in Mandarin, Korean, or Japanese
Good to have:
  • Hands-on experience with analytic/visualization tools (SQL, Tableau)
  • Experience in writing Spark programs for data analysis

Job Details

About Appier
Appier is an AI SaaS company on a mission to make AI easy, by making software intelligent. Founded in 2012, Appier has 17 offices across APAC, U.S. and Europe and is listed on the Tokyo Stock Exchange. Visit www.appier.com for more information.

 

About the role

The Business Analyst (Partnership) is a key function on Appier’s global partnership team. Our analysts work closely to 1) provide in-depth business recommendations based on data analytics, 2) influence product designs and AI algorithms based on market insights and industry needs and 3) establish cross-function business operations that maximize the benefits to both advertisers’ campaign performance and partners yield management.

 

Responsibilities

  • Maintain close relationship with Biz Dev and commercial teams to provide timely feedback and suggestions on sales opportunities
  • Conduct research and market analysis to provide timely insights to our cross functional teams
  • Track and analyze key performance indices on our business
  • Provide actionable business recommendations based on insights from data
  • Work across business, product and campaign management teams to improve product, achieve revenue growth and exceed campaign performance
  • Refine inventory breakdown, support territory management and constantly look for opportunities to provide additional ROI

About you

[Essential]

  • A creative problem solver, self-motivated and self-driven
  • A logical thinker with a solid statistical and/or business development background
  • Passionate to work with big data with outstanding analytical skills to drive strategic and actionable insights from data
  • An excellent team player who can work with multiple internal and international teams to strategize and optimize performance
  • A quick learner who loves to pick up new tools/software for reporting and analysis
  • 3+ years working experience. Data analysis or sales operation experience preferred
  • Proficiency in creating reports, experience in Digital advertising / RTB /Programmatic buying environment is a plus.
  • Minimum BA/BS University degree or related experience.
  • Crisp oral and written communications both in English (plus one additional language proficiency in Mandarin, Korean or Japanese)

[Nice to have]

  • Hands-on experience in utilizing analytic/visualization tools (SQL, Tableau).
  • Experience in writing Spark programs for data analysis.

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