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Open nowFirst seen 2 days ago

Head of Data and Analytics

Hype41 open roles

Where
Amsterdam, North Holland, Netherlands
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Your applicationOpen nowHead of Data and AnalyticsHype · Amsterdam, North Holland, Netherlands

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Hype's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 2 days ago

The posting

Head of Data and Analytics

In house in Amsterdam and Hybrid from Amsterdam

full-time, Amsterdam, Data, IT/Software Development

Your mission

We are seeking a visionary Head of Data to join our team in Amsterdam. This is a pivotal role overseeing our data strategy, ensuring the seamless integration and utilization of data across the organization. You will be responsible for driving data initiatives, developing and promoting a data-driven culture, and managing a talented team of data professionals. You must be passionate about data, discovery, optimization problems, hypothesis testing and R&D, and have a proven track record in internet marketing, OLAP, statistics, machine learning, and SQL.

Your profile

Key Responsibilities:

  • Lead and mentor the team consisting of Data Science, Business Intelligence, and Data Engineering roles.
  • Develop and implement a comprehensive data strategy aligned with business goals.
  • Oversee the design, development, and maintenance of data infrastructure, including OLAP systems and columnar databases like Redshift.
  • Ensure data accuracy, integrity, and security across all platforms.
  • Develop and maintain actionable KPIs for various marketing operations and billing systems.
  • Utilize advanced statistical methods and machine learning techniques to drive insights and optimize marketing campaigns.
  • Collaborate with cross-functional teams to identify data needs and provide actionable insights.
  • Develop a culture of continuous learning and improvement within the data team.
  • You hire new talents and build a team that focuses on delivering value.
  • Stay updated with the latest trends and technologies in data science, BI, and data engineering.

About You:

  • Proven experience in a leadership role within data science, business intelligence, or data engineering.
  • Expertise in internet marketing and performance marketing strategies.
  • In-depth knowledge of OLAP, statistics, and machine learning.
  • Proficient in SQL and experience with columnar databases such as Redshift.
  • Practical knowledge and experience with Python, including its application in data analysis, machine learning, and data engineering and tools like Pandas, NumPy and SciPy.
  • Experience with data visualization in JavaScript and HTML, including frameworks such as D3.js, Plotly.js.
  • Proficiency in creating interactive visualizations and dashboards using HTML, CSS, and JavaScript frameworks.
  • Strong people management skills with the ability to lead, mentor, and inspire a diverse team.
  • Excellent communication and collaboration skills.
  • Strategic thinker with a results-oriented mindset.
  • Bachelor's or Master's degree in a relevant field (e.g., Data Science, Computer Science, Statistics).

What We Offer:

  • Competitive salary and attractive bonus scheme.
  • Informal, fun, and multicultural working environment in the heart of Amsterdam.
  • Personal development, learning, and growth opportunities.
  • Freedom and budget to attend conferences, workshops, and training.
  • The chance to test your ideas with hundreds of thousands of users in real-time.
  • Company-sponsored activities including an annual company retreat.
  • Visa sponsorship and a comprehensive relocation package when applicable.
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    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Hype's form

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    An application in CV Rocket: every answer filled in on the employer's form.

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