Senior Data Analyst
Harrington Starr
Greater London, UK
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Big Data
Data Governance
Data Infrastructure
Extract Transform Load (ETL)
Database Queries
Python (Programming Language)
Power BI
SQL Databases
Cloud Platform System
Snowflake
Data Pipelines
Job description
This isn't a traditional reporting role. You'll play a key part in developing and improving the firm's data platform, working across SQL, ETL, Snowflake, data quality and automation while helping introduce practical AI solutions across the business.
Working closely with stakeholders across Investments, Operations, Finance and Technology, you'll solve complex data challenges, improve processes and help ensure business-critical data is accurate, reliable and fit for purpose., * Develop and maintain SQL-based data pipelines and ETL processes.
- Support and enhance the firm's Snowflake data platform.
- Improve data quality through validation, reconciliation and monitoring.
- Identify opportunities to automate manual processes using modern technologies and AI.
- Partner with business stakeholders to deliver scalable data solutions.
- Support data governance, reporting and continuous improvement initiatives.
Requirements
- Strong SQL skills and experience working with large datasets.
- Experience with ETL processes and cloud-based data platforms such as Snowflake.
- Knowledge of data quality, validation and governance.
- Python and/or Power BI experience would be beneficial.
- An interest in automation and emerging AI technologies.
- Strong analytical, problem-solving and stakeholder management skills.
- Experience within financial services or another regulated environment is advantageous.
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