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- Aufgaben: Join Billie’s Analytics team to analyze data and support strategic business decisions.
- Arbeitgeber: Billie is a fintech company focused on sustainable growth through data-driven insights.
- Mitarbeitervorteile: Enjoy a dynamic work environment with opportunities for professional growth and collaboration.
- Warum dieser Job: Make a significant impact in fintech while developing your analytical skills and expertise.
- Gewünschte Qualifikationen: 5+ years in data analytics, proficiency in SQL, and experience with BI tools required.
- Andere Informationen: Ideal for self-starters eager to explore data and drive business growth.
Das voraussichtliche Gehalt liegt zwischen 43200 - 72000 € pro Jahr.
About the role:
Billie’s Analytics team is at the heart of the company supporting multiple functions to make data-driven decisions. Analytics team works closely with all Product segments, and other departments by innovating, hypothesizing, strategizing and providing recommended actions to relevant stakeholders (Decision science, Business Development and Account Management, Collection and Underwriting teams, Customer support and Marketing) in an integrated, scalable, secure and compliant way to enable the company\’s sustainable growth.
We are looking for a diligent Data Analyst to join Billie’s Analytics team and contribute to the development and enhancement of Billie’s analytical capabilities.
In this role, you will have the chance to make a significant impact by leveraging data and analytics tools, will look for solutions, establish relationships to be able to guide business decisions within the company values and expectations, and contribute to the ongoing growth of our portfolio.
The role is for someone who is a self-starter, enjoys exploring data for insights to support strategic decision making, is passionate about building data structures, analyzing and reporting on key performance indicators, comfortable to work on operational matters, willing to develop expertise in fraud and credit risk prevention, has excellent communication and strong interpersonal skills, and is able to document effectively.
This is a unique opportunity for analysts who are eager to immerse themselves in the heart of fintech business, develop additional muscles, and grow within a fast-paced and dynamic environment. You will collaborate with cross-functional teams, apply creative problem-solving skills, and drive business growth through data-driven strategies.
You will:
- Perform analysis to develop a deep understanding of the product, and its usage, business processes, and to support business and research hypotheses, including A/B testing of product ideas, identifying new product and business opportunities
- Support product segments in creating effective tracking and measurement plans to ensure the impact of new features align with our product strategy
- Design data models as part of data solution to support reporting and analysis needs
- Create, maintain and update dashboards and reports using BI tools to communicate insights effectively
- Enhance data processes, identify gaps, and streamline data collection
- Collect, consolidate, and closely track KPI metrics regarding Billie’s portfolio
- Use statistics and ML concepts in developing actionable business solutionsPerform comprehensive data analysis and EDA to support Risk and Fraud systems optimization
- Communicate and present recommendations and key insights to stakeholders and executives to drive business decisions and create an impact
- Communicate issues in an independent and timely manner with appropriate internal and external partners
Who we are looking for
- You have 5+ years of proven experience in data analytics, data engineering or quantitative analytics
- Proficiency in writing structured and efficient SQL queries for large data sets
- Proficiency in advanced data and analytics and statistical concepts, tools, and methodologies
- Have prior experience building intuitive data visualizations and dashboards that influence business decisions, utilizing tools like Looker, Tableau, Mixpanel, or similar
- Proven track record of managing complex initiatives with strong emphasis on data, providing actionable insights and tracking success of those initiatives
- Able to communicate complex problems in a simple and relevant manner at all levels
- Experience with translating analytical insights into data driven business prioritization
- You have strong business acumen coupled with highly analytical mindset
- You had the chance to work in a fast-paced and dynamic environment
- Strong sense of responsibility, self-starter, well organized, good planner, able to work independently and meet deadlines
- Experience with Python, R and other advanced analytical tools
- Previously experience in a fraud, risk & payment management environment is an advantage
#J-18808-Ljbffr
Data Analyst with ML Experience (w/m/d) Arbeitgeber: Billie GmbH
Kontaktperson:
Billie GmbH HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Data Analyst with ML Experience (w/m/d)
✨Tip Number 1
Familiarize yourself with the specific data analytics tools mentioned in the job description, such as Looker, Tableau, and Mixpanel. Having hands-on experience or projects showcasing your skills with these tools can set you apart from other candidates.
✨Tip Number 2
Highlight any previous experience you have with A/B testing and how it has influenced product decisions. Be prepared to discuss specific examples during the interview to demonstrate your analytical thinking and problem-solving skills.
✨Tip Number 3
Showcase your ability to communicate complex data insights clearly and effectively. Practice explaining your past projects or analyses in a way that is understandable to non-technical stakeholders, as this will be crucial in the role.
✨Tip Number 4
Research Billie’s business model and current market trends in fintech. Being knowledgeable about the company and its challenges will help you tailor your responses and show your genuine interest in contributing to their growth.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Data Analyst with ML Experience (w/m/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Make sure to thoroughly read the job description and understand the key responsibilities and requirements. Tailor your application to highlight how your experience aligns with the specific needs of Billie’s Analytics team.
Highlight Relevant Experience: Emphasize your 5+ years of experience in data analytics, data engineering, or quantitative analytics. Provide concrete examples of how you've used SQL, built dashboards, and applied statistical concepts in previous roles.
Showcase Your Skills: Clearly demonstrate your proficiency in tools like Looker, Tableau, or Mixpanel. Include specific projects where you created data visualizations that influenced business decisions, showcasing your ability to communicate complex insights effectively.
Craft a Compelling Cover Letter: Write a cover letter that not only summarizes your qualifications but also expresses your passion for data analytics and your eagerness to contribute to Billie’s growth. Mention your interest in working in a fast-paced fintech environment and your commitment to driving data-driven strategies.
Wie du dich auf ein Vorstellungsgespräch bei Billie GmbH vorbereitest
✨Showcase Your Analytical Skills
Be prepared to discuss specific examples of how you've used data analytics to drive business decisions. Highlight your experience with A/B testing, KPI tracking, and any relevant projects that demonstrate your ability to analyze complex data sets.
✨Demonstrate Proficiency in SQL and BI Tools
Since the role requires strong SQL skills and experience with BI tools like Looker or Tableau, be ready to discuss your proficiency in these areas. You might even want to prepare a few sample queries or visualizations to showcase your capabilities.
✨Communicate Clearly and Effectively
Strong communication skills are essential for this role. Practice explaining complex analytical concepts in simple terms, as you will need to present insights to stakeholders at various levels. Consider using the STAR method to structure your responses.
✨Prepare for Behavioral Questions
Expect questions about your experience in fast-paced environments and how you handle challenges. Think of examples that highlight your self-starter attitude, organizational skills, and ability to work independently while meeting deadlines.