Level

N26

Data Analyst - Everyday Banking

N26 is hiring a Data Analyst - Everyday Banking in Barcelona, Spain. Level rates it ; you can apply on N26.

Level's read on this job

  • On Level's scale, this data analyst role is Little AI ●○○○: aI is not part of the work.
  • Tools and skills the posting cites include data analysis, a b testing and product analytics.
  • Level classifies it as a mid-level role.
  • Level lists 36 other open roles at N26.
  • The role was posted within the past week.

AI in this role

Data Analyst embedded in the Everyday Banking team to drive data-informed decision making, experimentation, and goal setting.

data-analysisa-b-testingproduct-analyticssqldashboardingforecasting

Summary

 We are seeking an organised and self-motivated Data Analyst to work embedded in our Everyday Banking team, to help shape the development of one of the world's leading FinTech products.

About the opportunity

As a Data Analyst (Product) you will enable our product and business segments (Cards, Payments in the Everyday Banking domain to make data-driven decisions. You will monitor, measure and analyse the effectiveness of your product teams’ initiatives, as well as help drive the strategy of your business segment. You are here to establish a data-mindset and thereby to foster a culture of continuous learning and improvement. You will work in a cross functional setup, working closely with other analysts, engineers, designers, and product managers.

In this role, you will: 

  • Help us set the right goals: Develop clear and measurable targets based on an initiatives’ scope. Improve our overall forecasting and goal setting capabilities. 

  • Handle stakeholders: Be an internal go-to-person for your teams when it comes to data related questions. 

  • Evaluate initiatives: Support Product experimentation & A/B testing initiatives; design test plans, obtain cross-functional alignment, execute robust analysis, and deliver actionable insights. Share these learnings through clear documentation and concise and empathic communication.

  • Contribute to self-serve data platform: Help building the right analytics foundations ,by pairing up with technical peers, so our product and business teams can interact with data and extract the right insights themselves. 

  • Provide monitoring tools: Build the dashboards your team looks at every week to make sure they are impacting our company OKRs. 

  • Improve data literacy of organisation: Educate teams to become independent when it comes to data access and understanding function led training and team wide workshops to foster data driven culture.

  • Be part of our data-community: Collaborate with a broad range of analytics teams at N26 to utilise shared platforms, insights and innovations.

  • Support some of the following product & business team initiatives (not limited to): 

    • You support your team in discovery of new product ideas, identifying user friction points, business opportunities and defining success metrics and targets.

    • Evaluate your teams’ continuous releases making sure they are delivering on business goals via experimental or observational methods.

    • Collaborate with UX researchers to combine qualitative and quantitative research for better product hypotheses.

    • During product development you make sure all data needed for future evaluation is being captured through set up of tracking events or as part of the backend service.

    • Design, conduct and analyze A/B tests 

    • Drive the quantitative analysis on your segment, being responsible for the insights and business discovery on the team.

What you need to be successful:

Background: 

3+ years of experience, ideally within the Product or Analytics field. 

Skills:

  • Strong understanding of statistical methods used in the analysis of experimental and observational data

  • Strong problem solving skills and is comfortable doing exploratory data analysis that generates insights and “so whats”

  • Highly experienced with SQL and Python/R for analytics

  • Experience working with one or more common data visualisation tools (Tableau, Metabase, Looker, Superset, etc)

  • Good presentation skills and communication skills.

  • Experience with A/B Testing & Product Analytics

  • Having experience with cards y/or payments domains in high growth startups would be a big plus

  • Having experience in quantitative research would be a plus

  • Having experience in fintech would be a plus

  • Having experience with AI Analytics would be a plus

What’s in it for you:

  • Accelerate your career growth by joining one of Europe’s most talked about disruptors.
  • Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation.
  • As an N26 employee you will have access to a Premium subscription on your personal N26 bank account, as well as subscriptions for friends and family members.
  • Additional day of annual leave for each year of service.
  • A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses.
  • A relocation package with visa support for those who need it.

Who we are

N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use. We’ve eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do.We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.Sounds good? Apply now for this position.

Equal Opportunities

We recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential. We genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages.We’re committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there’s anything you need to make the application process work for you, please let us know by reaching out to candidate.exp@n26.com. 

How we rate this

Data Analyst - Everyday Banking at N26 rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data AnalysisA B TestingProduct AnalyticsSQLDashboardingForecasting

Also common in data analyst jobs at this level

Pay

Typical data analyst job
$110k

This posting doesn't list pay. Use the typical data analyst figure when pay comes up. See data analyst jobs

Questions you could be asked

  1. Tell me about a project where data analysis was part of your work. What did you do?
  2. Tell me about a project where a b testing was part of your work. What did you do?
  3. Tell me about a project where product analytics was part of your work. What did you do?
  4. Tell me about a project where sql was part of your work. What did you do?
  5. Tell me about a project where dashboarding was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Data Analysis, A B Testing, Product Analytics, SQL, and Dashboarding. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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