Business Intelligence Analyst
Posted 2 weeks ago by Simon James IT Ltd
Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The Business Intelligence Specialist role focuses on leveraging tools like QuickSight and AWS to develop complex data ingestion pipelines and automated reporting solutions within a Video Streaming services team. The position requires collaboration with technical teams and stakeholders to analyze data and create scalable solutions. The role is hybrid, requiring in-office presence in Shoreditch 2-3 days a week. A two-stage technical screening process is part of the hiring procedure.
Key Responsibilities:
- Develop complex data ingestion pipelines for key data points and KPIs.
- Collaborate with stakeholders to gather requirements for reporting solutions.
- Create scalable automated reporting solutions using large-scale data structures.
- Work with ETL pipelines to manage data flow and processing.
- Analyze and interpret data using various tools and techniques.
Key Skills:
- Experience with data visualization tools such as Tableau and QuickSight.
- Proficiency in data analysis and interpretation using Redshift, Oracle, and NoSQL.
- Knowledge of data modeling and warehousing.
- Experience in building ETL pipelines and data mining.
- Familiarity with statistical analysis packages like R, SAS, and MATLAB.
- Strong SQL skills for data extraction from databases or data warehouses.
- Proficient in Python scripting for data processing.
- Experience with AWS solutions including EC2, DynamoDB, S3, and Redshift.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Business Intelligence Specialist - QuickSight & AWS
We’re looking for an experienced BI Engineer with strong Tableau or QuickSight to join the Video Streaming services team of a Global Big Four tech partner of ours. The role will be focussed on working with the Tech teams to create complex Data ingestion pipelines for key Data points and KPI’s. You’ll be working with key stakeholders to take requirements and create scalable automated reporting solutions, working with large scale data structures and ETL pipelines.
Key skills:
- Analysing and interpreting data - Redshift, Oracle, NoSQL
- Data visualization - Tableau, QuickSight
- Data modelling, warehousing
- Data Mining and building ETL pipelines
- Statistical Analysis packages - R, SAS and MATLAB
- SQL to pull data from a database or data warehouse
- Scripting in Python for processing data for modelling
- AWS solutions - EC2, DynamoDB, S3, Redshift
This will be a hybrid contract working from the organisations Shoreditch office 2-3 days per week and will involve a 2 stage technical screening process.