Analytics Engineer - London

Dataiku; London; Hybrid; GBP 40,000 - 80,000; Full time

Job summary

Join a forward-thinking company at the forefront of the AI revolution as an Analytics Engineer. You'll play a pivotal role in delivering impactful data products and insights while fostering a culture of self-service analytics. Collaborate with cross-functional teams to ensure data quality and drive business strategy. This role combines technical expertise with creative problem-solving, making it perfect for those passionate about data and its transformative power. If you're ready to make a significant impact in a dynamic environment that values innovation and collaboration, this opportunity is for you!

Qualifications

• 3+ years of experience in Analytics or Data Science.
• Strong knowledge of SQL and Python is essential.
• Ability to build reports and dashboards with BI tools.

Responsibilities

• Build and maintain data catalog for self-service analytics.
• Collaborate with stakeholders to ensure data quality.
• Promote self-service analytics within the organization.

Skills

SQL

Python

Data Analysis

Problem Solving

Communication Skills

Education

Bachelor's Degree in a related field

Tools

Tableau

Looker

PowerBI

Dataiku

Snowflake

Job description

At Dataiku, we're not just adapting to the AI revolution, we're leading it. Since our beginning in Paris in 2013, we've been pioneering the future of AI with a platform that makes data actionable and accessible. With over 1,000 teammates across 25 countries and backed by a renowned set of investors, we're the architects of Everyday AI, enabling data experts and domain experts to work together to build AI into their daily operations, from advanced analytics to Generative AI.

Dataiku is looking for an Analytics Engineer to join our Enterprise Data and Analytics team in London. As a member of the EDA Team, you will play a central role in delivering data products as well as data-driven insights to various stakeholders and teams at the company. You will also support the full organisation to get the most of their data. Non-technical skills and business acumen are important, but you will of course be expected to operate at a high technical level. Our Analytics Engineers work on the Dataiku platform every day and, aside from the visual tools, use mostly SQL and Python with occasional work in other languages, with a good working knowledge of Snowflake and the software development lifecycle. The ideal candidate is naturally curious, has excellent verbal and written communication skills, a sharp analytical mind, a positive attitude towards work and thrives when collaborating towards a shared goal.

How you'll make an impact:

The role of an Analytics Engineer at Dataiku is quite unique as it's not only focused on data products delivery but also on fostering the self-service analytics within the whole company - every Dataiker is encouraged to use our own product, so we have an internal community of analysts much larger than most companies our size. Your responsibilities within the team and with the community of analysts include but are not limited to:

• Build, maintain and evolve our data catalog with data products that allow for answering complex business questions, flexible querying, data visualisation and that support self-service analytics in the best way possible.
• Partner with cross-functional stakeholders and embedded analysts to ensure that business logic is properly represented in datasets and well documented to ensure it can be used by the wider population of analysts to drive business insights and strategy.
• Collaborate transversally with business leaders or operations to conduct gap analysis, understand business needs and build out advanced analytical solutions to answer those needs.
• Participate in the end of month closing and update of reference datasets as well as presentation materials (decks, reports) supporting the company’s most important metrics including ARR, NDR, ARPU, Headcount, Product Adoption…
• Maintain a standard on data quality (monitoring, adherence to the principles of data governance, punctual data clean-up efforts) to ensure continuous delivery of accurate metrics. Advance automation efforts that help the team spend less time manipulating & validating data and more time analyzing.
• Respond to ad-hoc data related inquiries to support management and the executives of the company
• Proactively identify and explore new opportunities through creative analytical and engineering methods. Use dedicated innovation time to explore and work on innovative use cases or analysis that might be transformational for the team or the business.
• Promote self-service analytics within Dataiku by providing technical support, expertise and empowerment to the larger community of analysts.

What you'll need to be successful:

• 3+ years of relevant experience in Analytics / Analytics Engineering / Data Science
• Strong knowledge of SQL and experience with Python is a must. Experience in Dataiku is a big plus
• Ability to build reports and dashboards with BI tools (such as Tableau, Looker or PowerBI) is a plus
• Excellent analytical and creative problem-solving skills as well as strong critical thinking.
• Passion for thinking through challenges from the user perspective. Your daily work is driven by your commitment to end users.
• Excellent written and verbal communication skills with the ability to tell stories with data and clearly articulate/present complex situations and concepts
• Ability to write clear and concise communications and documentations with a high degree of precision
• Ability to manage multiple projects and time constraints simultaneously
• Ability to roll up your sleeves to accomplish what needs to be done. You get things done and inspire your colleagues to do the same.

#LI-Hybrid #LI-SC1

What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our

What are you waiting for!

At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our Dataiku LinkedIn page .

Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer.All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: [e-mail]

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