Analytics Engineer
4 days ago
You will work closely with data analysts, product owners, data scientists, and other stakeholders to understand their requirements and deliver actionable analytics solutions that empower our people to make powerful, data-informed decisions. Additionally, you will have the opportunity to work on data engineering tasks, such as designing ELT processes, building and optimizing data pipelines, managing data infrastructure, and ensuring data quality and reliability.
Responsibilities:
- Design, build, maintain, optimize, and document datasets, transformations, and ELT processes for reporting and analytics purposes.
- Build and maintain data models and data marts in Snowflake and Tableau to support reporting, analytics, ML, and business intelligence and compliance needs.
- Collaborate with data engineers, data analysts, data scientists, product owners, and business stakeholders to understand their data & analytics needs.
- Implement extract,- load,- and transformation steps in our data pipelines.
- Implement data quality checks and monitoring solutions to ensure accuracy, integrity, and availability of datasets for analytics and reporting purposes.
- Develop and maintain reports in Tableau for central teams (including the data & ML team) and functions.
- Support the organization with Tableau related questions and issues, such as advanced calculations, data-related questions, access management, and similar.
- Support business users to leverage AI-powered functionalities available in Tableau to further empower our data analysts and business users to make data-informed decisions.
- Stay current with emerging trends, tools, and technologies in analytics, data structure, data storage, and AI.
- Degree in business, finance, computer science or other relevant fields.
- Around 2-3 years of experience working with data analysis, data visualization, data engineering or similar.
- Experience working with agile methodologies (e.g. Scrum, Kanban etc) and enjoy working in a fast paced environment.
- Knowledge of Tableau (strongly preferred) or other BI-tools for visualization and analysis.
- Experience of working towards non-technical business users and translating needs into actionable tasks for tech.
- Scripting in SQL to extract data from databases and create datasets.
- Experience, or interest in, working with AI and ML tools to enhance or drive data analysis. This will be a focus area for Lendo going forward so an interest or knowledge in the area is highly beneficial.
- Experience with dbt (data build tool) is a plus.
Lendo, part of Lendo Group, is a leading marketplace for loans. On our marketplace people seek guidance, browse, get and manage consumer loans, car loans, credit cards, business loans and mortgages. Today we operate in Scandinavia including 250+ employees working each day to empower people to make smart financial decisions that actually make a difference in their lives. Since our humble beginning back in 2007, we have helped thousands of people get a fair price on loans, get in control and let the lenders compete for their business.
Since the launch, we have worked hard to make the market for loans more transparent and digital. After the success in Sweden, we expanded into the Scandinavian countries of Norway and Denmark.
Since 2009 Lendo is also a part of the Schibsted family of brands.
Lendo has always been about helping people keep control over their personal finances and lenders finding quality customers. As a leader in our category, we have made it easier for people to get a fair price on loans, often reducing their interest substantially.
We believe in a market built on trust and transparency. This is why we strive for openness between our customers and partners.
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