Analytics Engineer

4 days ago


Stockholm, Stockholm, Sweden Lendo AB Full time

We are looking for a talented and experienced Analytics Engineer to join our Data and Machine Learning team at Lendo. In this role, you will be responsible for designing, developing, and maintaining analytics solutions.

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.
Minimum Requirements:
  • 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.
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