Data Analytics Engineer

Publiceringsdatum: 2024-11-18

Har du övervägt att arbeta inom yrken med teknisk inriktning-branschen? Nu har du chansen att börja jobba som dataingenjör hos Sambla Group AB. Sambla Group AB söker efter en ny anställd på heltid under tills vidare som är redo att ta sin karriär till nästa nivå.

Om du redan bor i närheten av Stockholm, är det här din chans att söka ett spännande jobb Företaget Sambla Group AB erbjuder just nu spännande karriärmöjligheter. Om du vill jobba som dataingenjör har de nu ett ledigt jobb - kolla in annonsen för att se om du har rätt erfarenhet. Bli en del av Sambla Group AB genom att ansöka till jobbet som dataingenjör senast tisdag den trettioförsta december 2024.

Jobbannons

Sambla Group is a fintech company with a clear goal – to make loans better for all. We need you, your ambition and your skills on our journey. We have become the fast-growing fintech company that we are today - bridging the gap between borrowers and lenders - thanks to all the 350+ amazing people who work here.

Our success is the result of the commitment to deliver the best customer journey and consumer finance products in the industry. Our vision is to democratize lending and empower customers to improve their personal finances. Through our well known brands such as Sambla, Advisa, Rahalaitos, Omalaina, Rahoitu and DigiFinans we support customers in consolidating and getting the best terms on their loans.

Our team is currently looking for a diligent and creative Analytics Engineer to join us in transforming complex datasets through DBT or any ETL tool skills. The successful candidate will work together with an aspiring Data team within the Architecture and Reporting function on a broad variety of projects providing strong career development opportunities.

Amongst other things, you will work with

• Stakeholder Management: Work with business and data solution teams to implement data strategies, build data flows, and develop conceptual and logical data models. Gathering requirements with business users and implement the business rules on our data stack.
• Data Translation and Communication: Be part of the implementation of DBMS, data marts, data vaults and data lakes.
• Data Modeling: Support the development of different data models.
• Updating and optimizing local and metadata models. Troubleshooting and optimizing data systems. Fine tuning performance on the data bases
• Data Transformation: Utilize your advanced SQL skills to transform raw data into a structured format that serves as a foundation for meaningful analysis. Developing best practices for data coding to ensure consistency within the system. Maintain data quality and governance procedures.
• Continuous Improvement: Actively seek feedback from stakeholders to refine and optimize Data models and processes.

Requirements

• Bachelor’s degree in Computer Science, Data Analytics, or a related field.
• 3 years of experience in Analytics Engineering / Data Modeling, with a proven track record of delivering effective Data solutions.
• Proficiency in SQL.
• Proven track record in successfully managing stakeholders.
• Excellent verbal and written communication skills.
• Identify yourself with our core values: Ambition, Social, and Trustworthy.

A bit of extra credit if you also have

• Experience within Fintech or other past-paced companies/industries.
• Experience in marketing analytics, for instance in campaign follow up, econometric modeling, customer segmentation and attribution modeling.
• Understanding of DBT, Python or any data warehousing tools.

What we offer

• Business in mind & people at heart – we deliver results together and celebrate our achievements.
• A varied and challenging role in a multinational and highly innovative company, where we value the development of our employees
• We are strong believers in creating a fun workplace where people enjoy coming to work.
• A friendly culture with openness and respect for one another, with the possibility to influence and make a difference on society and people’s everyday lives.
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• Please note!
• As part of our efforts to foster an unbiased recruitment process, we kindly encourage you to not include picture, gender, ethnicity, religion, disability, sexual orientation or age in your CV.