Data Analyst-Retail Media - Gurugram, India - Criteo

    Criteo
    Criteo Gurugram, India

    Found in: Talent IN C2 - 1 week ago

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    Description

    What You'll Do:

    We are seeking a talented and motivated Data Analyst to support our Retail Media business in the APAC region. As part of our APAC RM Analytics team, your role will be pivotal in harnessing our extensive shopper and retailer data, coupled with a deep understanding of our technology and industry, to provide actionable insights and recommendations to some of the largest retailers and brands in APAC.

    In this role, you'll have privileged access to one of the world's largest datasets, alongside the computational power required to deliver insights into shopper behavior, market trends, and product performance that can't be found anywhere else.

    The scope of this role involves technically rigorous work, including the use of leading-edge data analysis technologies and daily interaction with other cross-functional business units and external clients. Criteo's high-growth business model brings both opportunities and challenges. The ideal candidate functions with minimal oversight and has the ability to learn new concepts quickly.

    This role is based in either Gurgaon, India or Hyderabad, India.

  • Client Insights: You will analyze complex data from multiple sources to gain a comprehensive understanding of campaign performance, detect root causes of issues, identify growth opportunities, and generate innovative and impactful insights for our clients.
  • Business Strategy: Partnering closely with the commercial team, you will contribute to shaping client strategy and direction.
  • Reporting Tools and Metrics: You will develop and scale reports and metrics that provide actionable insights to various teams across the organization, including strategic leadership teams.
  • Testing: You will design, monitor, and analyze A/B tests to gain deeper insights into how our products perform for our clients.
  • Collaborative Projects: Collaborating on ad hoc projects with different teams, you will automate analyses on a global scale, enhance internal processes, streamline workflows, and disseminate knowledge throughout the company.
  • Expertise Development: In parallel, you will build a robust knowledge base of the performance marketing ecosystem, specializing in the retail media sector. Simultaneously, you will refine your analytical skills, devising new models and automation schemes to drive continuous improvement.
  • Who You Are:

  • Your work experience: 2+ years in an analytical role in Technology, Consulting or Financial business; bonus point if you have a good understanding of internet advertising technologies (cookies, DSP, SSP, RTB, etc.)
  • Your academic background: Bachelor's degree or equivalent in a quantitative or business discipline, with a primary emphasis on Analytics (Statistics, Mathematics, Computer Science, and related areas....).
  • Your Analytics skills: You possess a comprehensive grasp of relational databases, data architecture/governance, and the practical application of statistical concepts, especially within a testing context. Your strength lies in your exceptional attention to detail, complemented by your capacity to envision the broader strategic picture.
  • Your technical skills: You have hands-on experience in working with databases or have some programming experience and are a fast learner. SQL and Python are a must. Bonus point if you have experience in using technologies such as Hadoop, Hive, Vertica, Tableau.
  • Your business skills: You are client focused, able to come up with and convey clear messages an straightforward recommendations and have experience in discussing with clients. You are able to explain technical concepts to a non-technical audience. Engaging with clients and holding discussions is a crucial aspect of this position.
  • Your personality: You are versatile, autonomous, able to multi-task and prioritize; you like to interact and collaborate with people from various backgrounds, mindsets and cultures.