Associate Analytics Engineer - Forecasting & Data
Stockholm
Applications have closed
Spotify
We grow and develop and make wonderful things happen together every day. It doesn't matter who you are, where you come from, what you look like, or what music you love. Join the band!
We are looking for a person with a strong quantitative and technical background. You will be part of a small but growing team of data scientists and analytics engineers that specialize in measuring and predicting the outlook for the Spotify Freemium business. In the role you will support the development and direction of the in-house user forecasting models, using large scale data from across the organization to deliver accurate impact estimates on a global scale for senior business partners. You will also own and develop a number of core dashboards supporting the forecast and enable in-depth performance monitoring. As part of your role you will build a deep understanding of the Spotify business and enable better decision making across the entire organization.
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
What You'll Do
- Work closely with the company forecast including modeling the base outlook as well as estimating the impact of new business initiatives
- Analyze and explore alternative approaches to current methodologies and drive improvements to forecast accuracy and execution
- Build scalable data pipelines and systems to facilitate business performance tracking and business modeling.
- Own and develop dashboards over core business metrics and how they track against the company outlook
Who You Are
- Coding background for analytics and data purposes (including SQL) with experience writing code daily in at least one language such as Python, R, C++, Java and/or Scala. Previous experience analyzing large datasets in a cloud based-environment is a plus.
- At least 1 year of Data Science and/or Quantitative Modeling experience, preferably with a focus on forecasting/prediction
- Used to communicate data heavy insights using visualization tools such as D3, ggplot, Tableau, Data Studio or Qlik.
- Expertise in relevant quantitative subject such as Computer Science, Statistics, Econometrics or Mathematics
Where You'll Be
- We are a distributed workforce enabling our band members to find a work mode that is best for them!
- Where in the world? For this role, it can be within the EMEA region in which we have a work location
- Prefer an office to work from home instead? Not a problem! We have plenty of options for your working preferences. Find more information about our Work From Anywhere options here.
- Working hours? We operate within the Central European time zone for collaboration
- We ask that our team members be located within Greenwich Mean time zone, Central European time zone, or Eastern European standard time zone for the purposes of our collaboration hours
Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.
Tags: Computer Science D3 Data pipelines Data Studio Econometrics Mathematics Pipelines Python Qlik R Scala SQL Statistics Streaming Tableau
Region:
Europe
Country:
Sweden
Job stats:
21
6
0
Categories:
Analyst Jobs
Engineering Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Lead Data Analyst jobs
- Open MLOps Engineer jobs
- Open Data Science Manager jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Manager jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Principal Data Engineer jobs
- Open Sr Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analytics Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Product Data Analyst jobs
- Open Senior Data Architect jobs
- Open Sr. Data Scientist jobs
- Open Business Data Analyst jobs
- Open Big Data Engineer jobs
- Open Data Analyst Intern jobs
- Open Manager, Data Engineering jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Data Quality Analyst jobs
- Open Junior Data Engineer jobs
- Open Principal Data Scientist jobs
- Open GCP-related jobs
- Open Data quality-related jobs
- Open Business Intelligence-related jobs
- Open ML models-related jobs
- Open Java-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open Data visualization-related jobs
- Open Finance-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PhD-related jobs
- Open TensorFlow-related jobs
- Open PyTorch-related jobs
- Open Consulting-related jobs
- Open NLP-related jobs
- Open Snowflake-related jobs
- Open CI/CD-related jobs
- Open Kubernetes-related jobs
- Open LLMs-related jobs
- Open Generative AI-related jobs
- Open Data governance-related jobs
- Open Hadoop-related jobs
- Open Airflow-related jobs
- Open Docker-related jobs