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We are looking for an experienced Analytics Engineer to help us build and maintain data infrastructure to support HR insights and analytics in Estonia.
About Us
With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
About The Role
As an Analytics Engineer in the People Analytics team, you will play a critical role in building and maintaining data infrastructure to support HR insights and analytics. You will focus on transforming raw data into structured formats, ensuring data is clean, accessible, and ready for analysis. This role sits at the intersection of data engineering and analysis, bridging the gap between technical and business teams. You’ll be responsible for building dimensions and metrics to support KPIs by designing and managing ELT processes, developing scalable data models, and collaborating with analysts to ensure seamless reporting and dashboarding capabilities.
Main tasks and responsibilities:
Why you’ll love it here:
About Us
With over 200 million customers in 50+ countries, Bolt is one of the fastest-growing tech companies in Europe and Africa. And it's all thanks to our people.
We believe in creating an inclusive environment where everyone is welcome, regardless of race, colour, religion, gender identity, sexual orientation, age, or disability.
Our ultimate goal is to make cities for people, not cars, and we need your help to achieve this mission!
About The Role
As an Analytics Engineer in the People Analytics team, you will play a critical role in building and maintaining data infrastructure to support HR insights and analytics. You will focus on transforming raw data into structured formats, ensuring data is clean, accessible, and ready for analysis. This role sits at the intersection of data engineering and analysis, bridging the gap between technical and business teams. You’ll be responsible for building dimensions and metrics to support KPIs by designing and managing ELT processes, developing scalable data models, and collaborating with analysts to ensure seamless reporting and dashboarding capabilities.
Main tasks and responsibilities:
- Build and maintain scalable, secure data pipelines across platforms using AWS tools like S3, RDS, Redshift, and Databricks. Ensure accuracy through regular testing, monitoring, and troubleshooting to enable smooth data flow.
- Collaborate with Data Engineering, Finance technology and People Analytics to create robust, efficient models (e.g., star schemas) for fast querying and reliable reporting, tailored to meet evolving business needs.
- Centralise data from sources like Workday and Greenhouse into warehouses for BI tools (Looker, Tableau). Use Python, Airflow, Fivetran, and DBT to automate and optimise data workflows for seamless operations.
- Partner with HR, analytics engineers, and leadership to deliver actionable insights, ensuring alignment between technical capabilities and business requirements.
- Support interactive BI dashboards (e.g Looker) that empower data-driven decisions. Foster close collaboration with analysts to refine metrics and visualisations for maximum impact.
- Set development standards for the analytics layer and ensure a well-functioning contribution model. Create documentation and set documentation standards for data assets & products: ETL documentation, metric glossary.
- Uphold data security and compliance with best practices for access control. Document data pipelines, models, and transformations to support transparency, reproducibility, and scalability.
- You’re proficient in Python for building data pipelines, writing automation scripts, and handling large datasets. You’ll also have great knowledge of SQL for querying, transforming, and analysing data across various platforms.
- You’re experienced with cloud platforms, especially AWS (S3, RDS, Redshift, Databricks) for building data storage and processing solutions.
- You’re an expert in using ETL tools such as DBT, Airflow, and Fivetran to build and automate scalable data workflows.
- You have a strong understanding of data modelling concepts, metrics and semantic layers and their application in BI environments.
- It’s not essential but if you have experience working with HR data and platforms like One Model, Visier, or Workday, as well as an understanding of HR metrics and KPIs (e.g., retention, engagement, performance) and their application in workforce planning and analytics, then that’s a plus!
Why you’ll love it here:
- Play a direct role in shaping the future of mobility.
- Impact millions of customers and partners in 600+ cities across 50+ countries.
- Work in fast-moving autonomous teams with some of the smartest people in the world.
- Accelerate your professional growth with unique career opportunities.
- Get a rewarding salary and stock option package that lets you focus on doing your best work.
- Enjoy the flexibility of working in a hybrid mode with a minimum of 3 days in the office each week to foster strong connections and teamwork.
- Take care of your physical and mental health with our wellness perks.
- Some perks may differ depending on your location and role.
Key Skills
Ranked by relevance
c
ai
ha
ui
eop
scala
esp
kf
python
looker
aws
etl
das
ats
s3
storage
tableau
cloud
sql
lan
cis
pan
toc
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- Posted
- Nov 26, 2024
- Type
- Full-time
- Level
- Entry
- Location
- Tallinn
- Company
- Bolt
Industries
Software Development
Categories
Information Technology
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