Head of Data Analytics (F/M/X)
Munich
Applications have closed
PPRO
From PSPs to tech companies, our partners depend on us to build their digital payments offering so they can free up their time and resources.We are looking for an experienced manager to head our central Data & Analytics organisation. You will be responsible for providing a fast, efficient and near-real-time single-source-of-truth and data platform, which can be leveraged to offer data products of the highest quality. You will be the chief interface between all our technical domains and cross-domain functions (like HR, Marketing, Finance, etc.) for their data and analytical needs. You will foster and promote a data-oriented mindset by implementing a data communication strategy across the organisation. You be based in Munich and will report to the CTO.
What you will be doing:
- Drive a team of data engineers and data analysts, providing technical guidance, career development, and mentoring to your team
- Own the D&A infrastructure in Google Cloud, including DataOps, data pipelines and data modelling
- Own our data self-service infrastructure
- Build data products together with other functions across the company
- Build relationships with all business stakeholders to ensure data infrastructure and data products meet business needs to enable high-impact judgments through data investigation and insights
- Work closely with the team to help remove data-related or technical roadblocks
- Translate high-level business problems into specific questions that can be answered through hypothesis-based data analyses. Use analytical findings to identify actionable business recommendations.
- Develop data visualisations, including reports, dashboards, and analyses, to distribute data insights in an easily digestible manner to stakeholders
- Act as a subject matter professional for technical guidance, solution design and best practices with data and analytics
You will need to have:
- Ability to communicate complex matters to a broad audience
- A humble and inclusive management style
- Track record of attracting and developing talent at different stages of their careers and building high-performing teams
- Experience creating a collaborative community and nuanced understanding of hiring for and building diverse teams
- A good understanding of how to use product and business KPIs, and how to translate strategy into action using OKRs.
- Sound understanding of the whole data lifecycle from a pure engineering perspective via data modelling through the creation of data products, which means translation of business needs into data processes
- An empowering and inclusive management style
- Sound knowledge and experience of data infrastructure and architecture in the cloud (preferably GCP or AWS)
- Broad knowledge and experience with software development best practises and agile methodologies
Tech stack:
- Database development skills, including Python and SQL
- A deep understanding of relational and NoSQL DB tech
- Various ETL technologies and familiar with ETL tools.
- MPP technologies (e.g. BigQuery, Redshift, Snowflake)
- Airflow or similar orchestration tools
- Debezium or Kafka Connect
- DBT
- Data Visualisation - e.g. Looker, PowerBI, Tableau
- Experience with Terraform and K8s would be advantageous
By helping businesses to offer their consumers more payment choices at the checkout, we are helping to promote financial inclusion in every corner of the globe. We are also empowering local merchants to take part in the global e-commerce boom and compete with established global companies. That means they can hire more people, invest in more suppliers, and ultimately drive economic growth in their country and beyond.
We are a diverse team of over 650 people and 65+ nationalities spread across 11 global locations. Everyone here shares a passion for building – whether that’s forging close relationships with our customers, or constructing a payments infrastructure to accelerate their growth.
We want everyone to make a difference at PPRO. This means owning and seizing opportunities to maximize your impact; having a growth mindset; as well as building trust, and driving change. At PPRO there are countless opportunities to learn, develop and progress, and it’s up to you to own and shape your career path.
Every voice and perspective matter to us. We value diversity and never discriminate on the basis of race, colour, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, or genetic information.
We are looking forward to meeting you!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Airflow Architecture AWS BigQuery Data Analytics DataOps Data pipelines E-commerce Engineering ETL Finance GCP Google Cloud Kafka KPIs Kubernetes Looker MPP NoSQL OKR Pipelines Power BI Python Redshift Snowflake SQL Tableau Terraform
Perks/benefits: Career development Flex vacation Startup environment
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