Senior Data Analyst

Engineering · Paris, France

Job description

Botify is a global, enterprise software company focused on enabling the most ambitious brands to leverage organic search as a high-impact, performance marketing channel.

Powered by AI and a proprietary unified data model, Botify’s platform ensures web and mobile sites are optimized for search - increasing the number of pages seen, indexed and ranked by search engines - the foundation of being found by consumers in today’s dynamic digital environment.

As the leader in organic search innovation, Botify is trusted by more than 500 of the world’s most visible brands, including Expedia, L'Oréal, Crate & Barrel, Conde Nast, Groupon, Github, Carvana, FNAC Darty, and The New York Times, all of whom have succeeded in leveraging organic search for exponential, long-term results and revenue growth.

The Position

We seek an experienced Senior Data Analyst to join our Data Analytics team in Paris. In this role, you will advance our SEO end-to-end platform by harnessing the power of data and advanced statistics. Join us in shaping the future of data-driven SEO solutions and enhancing the digital landscapes of our valued customers.

The Team

In Botify, Data Analytics is crucial to our business. Leveraging more than 5+ petabytes of data, you will join a team of talented analysts with one mission: provide insights to make better strategic decisions across the company. Some notable projects that our team has recently undertaken:

  • Implement use cases in our Self-Service Data Analytics Platform: Collaborate with other teams (ops, finance, sales, engineering…) to implement use cases from exploration to production in our Self-Service Analytics platform.
  • SEO Split Testing: By leveraging advanced statistical approaches, we allow our customers to measure the performance of their SEO experiments effectively.
  • Data quality monitoring: We proactively identify and address data quality issues utilizing anomaly detection techniques. Our focus is on delivering actionable insights to empower our teams to rectify and maintain the integrity of our data.

To explore more about our engineering teams and their work, visit our Medium Blog.

Responsibilities

As a Senior Data Analyst, your focus is on employing an analytical mindset and utilizing data to drive product innovation and contribute to business growth. Your responsibilities:

  • Perform ad-hoc analysis: Conducting in-depth exploratory analysis to assess opportunities and give recommendations for addressing complex business challenges. Your insights will guide data-driven decision-making for our product team.
  • Cross-functional Collaboration: Work with champions to identify and monitor KPIs for their teams and help them track those metrics. You could create new datasets and implement dashboards.
  • Lead high-impact projects: Drive innovation through all project phases, from exploration, prototyping, and production.
  • Mentor data analysts: Provide continuous feedback, assist in defining scope, and flag training opportunities to improve performance.

Requirements

  • A minimum of 5 years of hands-on experience conducting in-depth analysis and presenting recommendations to solve complex business problems.
  • Proven ability to write code in SQL and handle relational data.
  • A deep knowledge and understanding of statistics.
  • Experience in Python.
  • A pragmatic, iterative team player with excellent communication skills.
  • Professional proficiency in English and French.
  • Knowledge of DBT, BigQuery, and Google Cloud is a plus.

Hiring Process

  • 30 mins Talent Acquisition interview
  • 30min Technical Screen with the Hiring Manager
  • 1h Product Analytics Interview
  • 1h Data Manipulation Interview
  • 30min Interview with the VP Plateform Engineering

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