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Senior Data Analyst

Who we are 


Yubo is the Social Discovery app to make new friends and hang out online. By eliminating likes and follows, we empower our users to create genuine connections and show up as their true selves. 


We've pioneered a new way for Gen Z to socialize online, and with millions of active users, our goal is to redefine how we connect today and tomorrow. 


Our team is international, multicultural and deeply committed to its mission. As the leading platform to socialize online, we have a special responsibility to build a safe digital space for our community. Safety is embedded in our DNA, and our proactive approach focuses on user protection, support, and education. We also work closely with the broader technology industry to share our knowledge and NGOs create industry-leading child protection standards. 


Join us in this exciting journey and help us shape the future of social interactions! 




About this role


Change is upon us ! With new hirings come exciting projects, and the need for more clarity and precision in the way we handle data to drive change within the product at Yubo. You have the opportunity to not only be part of that, but also to lay down the building blocks to significantly improve the Data culture in our teams !


As our first Senior Data Analyst, you will be part of the Tech team, reporting directly to our CTO, collaborating with various teams at Yubo, starting from the infrastructure team to understand and improve our current data infrastructure, to every operational team who can benefit from helping them navigate through their raw data by providing actionable insight.


Our approach to privacy
  • As part of your job, you will be working on tools that process personal data relating to Yubo users.
  • As a social media platform, we require our employees to have a strong awareness and understanding of privacy issues, and in particular of children's online safety, privacy and well-being.
  • Every employee at Yubo is expected to participate in compliance with data protection regulations as well as the continuous improvement of our Privacy & Safety By Design measures.


Your responsibilities
  • You will play an integral part in defining data requirements and ensure data pipelines meet analytical needs along with the data engineering team to be able to provide deep-dive analytics and generate actionable insight on topics such as User Acquisition or Product performance.
  • As the primary analytical partner for Product, UA and Moderation teams, you will translate business problems into data questions and collaborate with the data engineering team to adapt and improve our current data model to provide deeper insights.
  • You will also work closely with data engineers to improve data reliability, accessibility and usability, as well as establish clear processes for requesting new data models or adapting existing ones.
  • You will act as a facilitator for discussions and workshops with cross-functional teams to align on KPIs and measurement frameworks.
  • You will build and maintain dashboards to provide self-service access to critical KPIs for various teams, and create custom reports when required for different stakeholders on specific areas such as release performance, user acquisition, safety resource utilization…
  • To that regard, you will also act as a mentor to train stakeholders on how to use analytics tools effectively, how to interpret data correctly and use the appropriate level of analytics for the need.


Tools we use
  • Languages: SQL and Python
  • Query engine: Trino
  • Data viz and dashboarding: Looker
  • Product and behavioural analytics: Amplitude
  • Workflow management: Airflow
  • Data transformation: dbt


Who you are
  • You are perfectly proficient with SQL and familiar with other languages like Python for data analysis and scripting for workflow automation
  • You have previously worked in a subscription based business model and know the ins and outs of the mobile industry and its challenges.
  • You are an expert in data visualization and reporting tools such as Looker or Amplitude, and are used to create and maintaining dashboards used by various teams and leadership.
  • You have a strong understanding on event tracking and tools used to that end.
  • You have a basic understanding of data engineering and the ability to collaborate on data schemas, transformations and ETL processes. Collaboration with Data Engineers will be a key part of this position.
  • You strive to understand the business on a very deep level and provide highly relevant insight to both operational teams and leadership
  • As our first Data Analyst, you are capable of defining the building blocks to the analytics functions and take ownership of the


Within a month, you will
  • Be familiar with existing data models, dashboards and tools (with the data engineering team’s guidance)
  • Have audited existing Dashboards and Reporting
  • Have built relationships with your main stakeholders, understood key business goals for Product and User Acquisition as their primary data partner.
  • Have identified critical KPIs for each department and any gaps in data coverage and reporting


Within 3 months, you will
  • Have built and/or enhanced dashboards for your main stakeholders in the Product and UA team
  • Have begun training stakeholders on dashboard usage and data interpretation


Within 6 months, you will
  • Have a significant impact on revenues, discovering some hidden truths in data that no-one has seen until now
  • Have implemented reporting dashboards to track the performance at company level (OKRs or equivalent)
  • Have defined and spread data-driven culture among the company


Our recruitment process
  • First call with our Talent Acquisition team
  • Interview with Arthur, our CTO
  • Technical test
  • Culture fit interviews
  • And if everything goes well, an offer !


What we offer
  • A highly competitive salary range as well as equity in the company
  • A highly flexible remote work policy, generally between 2-4 days at the office per month, with monthly team events.
  • We also cover fees for external professional events and meetups
  • Great health insurance coverage for both you and your family by Alan, fully paid for by Yubo !
  • Numerous benefits for parents: additional parental leave, easy access to nurseries and daycare facilities in France.


Join Yubo and help shape the future of Social Discovery while enjoying a culture that values flexibility, well-being, and impact.


This is how our team drives our mission forward: 


Small team, Big Impact: we turn every challenge into an opportunity through a strong sense of inventiveness, camaraderie, and support 


Ownership and Velocity: we tackle challenges head-on, move quickly, take ownership and think long-term


Trust and Flexibility: We offer a hybrid work model that balances flexibility with collaboration: 

- Paris and Île-de-France: 1 day minimum per week at the office

- In Europe: 2 days per month at the office


Safety-Driven Mission: we contribute to making social media safer and we are passionate about it 


Enjoy Top-notch Benefits 


Culture is central at Yubo, hence the numerous benefits:

Cool Workplace: enjoy our amazing Parisian office and our many hybrid work options 

Team Activities: participate in get-togethers, events, and team-building activities

Family-Friendly: we support parents with childcare options and family-friendly policies

Wellness Programs: benefit from comprehensive health insurance, wellness programs, sports classes, and mental well-being initiatives

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Average salary estimate

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What You Should Know About Senior Data Analyst, Yubo

At Yubo, we’re on a mission to change the way Gen Z connects online, and we're excited to welcome a Senior Data Analyst to our vibrant team in Paris, working fully remotely! As our first Senior Data Analyst, you’ll dive into the data ocean to uncover insights that will shape our product and drive user engagement. Collaborating closely with our Tech team and reporting to our CTO, you’ll have the opportunity to improve our data culture and processes while ensuring the safety and privacy of our users. Your role will involve defining analytical needs, collaborating with data engineers to enhance our data infrastructure, and guiding operational teams in data interpretation. You’ll help establish clear KPIs and create accessible dashboards that empower various stakeholders. It’s not just about crunching numbers; you’ll be mentoring team members and leading discussions to ensure data-driven decisions. With your expertise in SQL and Python, along with tools like Looker and Amplitude, you’ll play a vital role in our mission to redefine social interactions. If you're ready to make a significant impact in a forward-thinking company dedicated to fostering genuine connections, we want to hear from you! Join us at Yubo, where your skills will not only be valued but will also contribute to creating safer online spaces for millions of users.

Frequently Asked Questions (FAQs) for Senior Data Analyst Role at Yubo
What are the responsibilities of a Senior Data Analyst at Yubo?

As a Senior Data Analyst at Yubo, your primary responsibilities include defining data requirements, collaborating with cross-functional teams to translate business problems into data questions, and improving our data models to generate insightful analytics. You'll work closely with data engineers to ensure data reliability and establish processes for new data requests, facilitating workshops, and building dashboards for easy access to key performance indicators.

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What qualifications are required for the Senior Data Analyst position at Yubo?

Candidates applying for the Senior Data Analyst role at Yubo should possess strong proficiency in SQL and familiarity with Python. Experience in subscription-based business models, along with expertise in data visualization tools such as Looker or Amplitude, is essential. A solid understanding of data engineering principles and event tracking tools will also be valuable in driving our analytics initiatives.

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How does Yubo ensure data privacy for its users?

At Yubo, we emphasize user privacy and safety as integral parts of our operations. As a Senior Data Analyst, you will work directly with tools handling personal data, aiming to uphold data protection regulations. Our employees are trained to engage in continuous learning regarding child safety, privacy issues, and to contribute to improving our Privacy & Safety By Design frameworks.

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What tools and technologies will a Senior Data Analyst at Yubo work with?

In the role of Senior Data Analyst at Yubo, you will utilize various tools and technologies including SQL for data analysis, Python for scripting, Looker for data visualization, and Amplitude for product analytics. You will also work with Trino as a query engine, Airflow for workflow management, and dbt for data transformation.

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What is the company culture like at Yubo for a Senior Data Analyst?

The culture at Yubo is inclusive and dynamic, where you will be empowered to take ownership of your projects and work collaboratively with an international team. We focus on flexibility, offering a hybrid work model that balances remote work with occasional in-office meetings, while also fostering a safe environment that promotes personal and professional growth.

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Common Interview Questions for Senior Data Analyst
Can you explain how you handle data privacy and security in your analysis?

In my previous roles, I prioritized understanding the privacy policies and regulations relevant to the data I worked with. I also collaborated with legal and compliance teams to ensure that my data analysis aligned with policies, thereby helping to mitigate risks associated with user data handling.

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Describe a time when you turned data insights into actionable recommendations.

In my last position, I analyzed user behavior data which revealed a drop-off point in the onboarding process. I collaborated with the product team to redesign the onboarding flow, resulting in a 30% increase in user retention. This experience taught me the importance of aligning data analysis with business objectives.

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How do you prioritize your analytical projects when faced with multiple requests?

I assess the business impact and urgency of each request, focusing first on projects aligned with strategic goals and those that will drive significant insights. Building strong relationships with stakeholders helps me understand their priorities, ensuring that I deliver valuable analytics efficiently.

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What experience do you have with SQL, and how do you typically use it?

I have extensive experience using SQL to query databases, extract insights, and manipulate data for meaningful analysis. I often write complex queries to answer specific business questions, ensuring that the data I provide is accurate and tailored to the requirements of various teams.

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Can you share an experience where you identified a critical KPI and how it affected decision-making?

In a previous role, I identified that customer churn was a critical KPI linked to user engagement metrics. By presenting a dashboard that tracked these metrics, we were able to implement a targeted retention strategy that reduced our churn rate by 15% over three months. Understanding the significance of KPIs is essential for driving data-informed decisions.

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What is your approach to creating dashboards for stakeholders?

My approach to building dashboards involves understanding the specific needs of stakeholders and what actionable insights they seek. I usually begin with a discovery session to gather requirements and iteratively build the dashboards, incorporating feedback to ensure they are user-friendly and meet the necessary objectives.

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How do you ensure the accuracy and usability of data models?

I ensure accuracy by implementing a rigorous validation process with cross-team reviews of data models, making sure that the input data is clean and relevant. Additionally, I collaborate closely with data engineers to understand the transformation processes, thus ensuring that both the data and the models are reliable and useful for analysis.

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What challenges have you faced in data visualization, and how did you overcome them?

One challenge I faced was ensuring that visualizations remained clear and effective despite complex datasets. To address this, I focused on simplifying the visuals and highlighting the key metrics that stakeholders cared about, often using interactive elements to allow users to drill down into the data as needed.

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How do you stay updated with the latest trends and technologies in data analysis?

I stay updated through continuous education, attending industry-related webinars, participating in online courses, and engaging with the data analytics community on platforms like LinkedIn and relevant forums. This helps me learn about new tools and best practices that I can apply in my role.

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What strategies do you use for training stakeholders on analytics tools?

I take a hands-on approach for training, providing personalized workshops and demos tailored to each team's specific needs. I also create comprehensive documentation and troubleshooting guides to empower them to use analytics tools effectively, ensuring they feel comfortable accessing and interpreting data independently.

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Full-time, remote
DATE POSTED
December 9, 2024

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