Data Analyst Role at Fintech

Vor 6 Tagen

Zürich, Zürich, Schweiz Worldline Vollzeit

This is Worldline.

Worldline helps businesses of all shapes and sizes to accelerate their growth journey - quickly, simply, and securely. We are the innovators at the heart of the payments technology industry, shaping how the world pays and gets paid. Our technology powers the growth of millions of businesses across 5 continents. And just as we help our customers accelerate their business, we are committed to helping our people accelerate their careers. Together, we shape the evolution.

The Opportunity

Our Data Management team at Worldline is on the cusp of transformative change, moving from established on-premises data solutions towards a future crafted in the cloud.

As a Fintech Data Analyst, you'll play a pivotal role in this transition, starting with your expertise in SAP-BO and Oracle Data Warehouse (DWH) systems, and gradually embracing the innovative realms of Looker and Google Cloud BigQuery + dbt Core service.

Our Data Management team focuses on leveraging data to redefine the financial technology landscape, making strategic, data-driven decisions that enhance customer experiences and operational efficiency. We're not just about data; we're about creating a future where financial solutions are smarter, more accessible, and tailored to meet the evolving needs of our clients. And we need you, and your expertise for this. 

Your Mission: A Dual-Focused Journes from Current State to Future Vision

In this dynamic role, you'll initially dive deep into our current data systems, focusing on SAP-BO and Oracle DWH views to maintain, manage, and improve our day-to-day data analysis and reporting tasks.

Your initial responsibilities will include:

  • Managing and optimising SAP BO Universe models, reports, and dashboards to ensure they deliver critical insights to our stakeholders
  • Overseeing the performance and integrity of our Oracle DWH views using PL-SQL, ensuring data quality and accessibility
  • Collaborating with our Data Management team members (organisational (PO, TLs) and technical roles (data engineers, architects, SREs)), Business Engineers, and Project Manages to work on the day-to-day requirements and improve our current data practices, enhancing efficiency, and driving innovation
  • Providing technical support and expertise to internal and external business and technical teams, helping them to understand and make the most of our data reporting tools
  • Oversee and maintain the Windows Server hosting SAP BO and be available for on-call duties (weekends included)

As we pivot towards a cloud-first strategy, you will be at the forefront of learning and implementing Looker and Google Cloud BigQuery + dbt solutions.

This part of your journey will involve:

  • Gain expertise in BigQuery, dbt, and Looker, with structured learning and hands-on projects designed to prepare you for our future data architecture
  • Playing a key role in the migration of our data insights from SAP BO and Oracle DWH to Google Cloud, ensuring a seamless transition with minimal disruption
  • Developing new cloud-based reports and analytics dashboards that leverage BigQuery, dbt Core, and Looker's capabilities, providing deeper insights and supporting strategic decisions

Who Are We Looking For

We look for big thinkers. People who can drive positive change, step up and show what's next – people with passion, can-do attitude and a hunger to learn and grow. In practice this means:

  • A Bachelor's or Master's degree in Engineering or a related field, with minimum 3 years of experience in data analysis 
  • Strong foundation in data analysis, with experience in SAP-BO and Oracle DWH
  • Eagerness to learn and transition to cloud-based data solutions, specifically Google Cloud's BigQuery and Looker
  • Ability to manage and navigate both current on-premises and future cloud-based data environments effectively
  • Excellent problem-solving skills, with a knack for identifying and implementing improvements to data processes
  • Strong communication abilities, capable of explaining complex data concepts in clear terms to various stakeholders
  • A team player attitude, ready to share knowledge, learn from colleagues, and contribute to a culture of continuous improvement and innovation
  • Proficiency in English, with a willingness to learn German 

Join us, and let's make data-driven decisions together while enjoying the journey

Perks & Benefits

At Worldline you'll get the chance to be at the heart of the global payments technology industry and shape how the world pays and gets paid. On top of that:

  • Mobile working within Switzerland and flexible working time models
  • Financial support of the public transport ticket
  • Use of our own staff restaurant
  • Comprehensive continuing education programs
  • Additional offers for families
  • Possible participation in the Innovation Festival @ Worldline
  • Employee Share Program: We win together as a team, and our long-term incentive plans are crafted to give every Worldline a financial stake in the business they are helping to grow 
  • Sustainable, international corporate culture

Shape the evolution.

We are pushing towards the next frontiers of payments technology, and we look for big thinkers to join our journey. People with passion, can-do attitude and a hunger to learn and grow. Here you'll work with ambitious colleagues from around the world, take on unique challenges as a team, and make a real impact on the society. And with our empowering culture, strong technology and extensive training opportunities, we help you accelerate your career. Wherever you decide to go. Join our global team of over 18,000 innovators across 40+ countries, and shape a tomorrow that is yours to own.

Learn more about life at Worldline at jobs.worldline.com

We are proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, gender expression, age, status as an individual with a disability, or any applicable legally protected characteristics.

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