We run a variety of projects in which our sweepmasters can excel. Advanced Analytics, Data Platforms, Streaming Analytics Platforms, Machine Learning Models, Generative AI and more. We like working with top technologies and open-source solutions for Data & AI and ML/AI. In our portfolio, you can find Clients from many industries, e.g., media, e-commerce, retail, fintech, banking, and telcos, such as Truecaller, Spotify, ING, Acast, Volt, Play, and Allegro. You can read some customer stories here. - https://getindata.com/blog/.
About role
The role of an Analytics Engineer involves overseeing the entire data value chain, spanning from data sources to actionable business insights. This position entails gathering business requirements, designing data models, developing data pipelines, creating data visualizations, and supporting decision-making processes through data-driven insights.
Analytics Engineers work with diverse technologies across the full data lifecycle and handle various types of datasets. They bridge the gap between business and technology, effectively communicating to ensure mutual understanding. By collaborating with stakeholders, they translate business needs into functional data products, such as reports and analyses, to drive organizational success.
responsibilities :
Collecting business requirements for data solutions (reports, analysis)
Advising on metrics for business performance monitoring
Monitoring, building data pipelines, and implementing data transformations (mostly in SQL)
Designing and implementing data model in a BI tool
Building reports and dashboards
Data validation and testing
Communicating results to the business and helping to use them to make decisions
Data literacy knowledge sharing
Staying up to date with the latest trends and best practices in analytics engineering
requirements-expected :
3+ years of experience using BI tools like Power BI
Proficiency in at least one programming language, with a preference for Python
Strong expertise in SQL
Extensive experience in Microsoft Azure and knowledge of Lakehouse platforms - Databricks
Hands-on experience with dbt
Ability to map business requirements to data products (reports, analysis)
Ability to work with different datasets and data sources
Being familiar with data visualization best practices and the ability to tell stories with data
offered :
Salary: 130 - 180 PLN net + VAT/h B2B (depending on knowledge and experience)
100% remote work
Flexible working hours
Possibility to work from the office located in the heart of Warsaw
Opportunity to learn and develop with the best Big Data experts
