Senior BI Analyst

JR United Kingdom; London; On-site; GBP 125,000 - 150,000; Full time

Job summary

Join a data-driven bank as a Senior BI Analyst in a collaborative Finance team. This role focuses on managing critical ETL data solutions, ensuring seamless data transformations, and providing valuable insights to support business decisions. You will work in a hybrid model, balancing office presence with flexibility, and be part of a relaxed yet highly experienced team dedicated to continuous improvement. If you are passionate about data engineering and enjoy collaborating with diverse stakeholders, this opportunity is perfect for you.

Qualifications

• Strong SQL expertise and experience with ETL data systems.
• Ability to communicate complex concepts to non-technical stakeholders.

Responsibilities

• Manage and maintain critical ETL data systems independently.
• Provide insights and analytics to support business decision-making.

Skills

SQL Expertise

ETL Processes

Cloud Platforms (AWS & Azure)

Communication Skills

Python

Job description

I am looking for two experienced Senior BI Analysts to join the Finance team within a data-driven bank, each responsible for managing a critical ETL data solution. These roles will ensure seamless data transformations, integrating upstream sources with downstream outputs, while also supporting business users with insights, analytics, and system improvements.

Key Responsibilities:

• Independently manage and maintain one of two critical ETL data systems.
• Extract, transform, and load (ETL) data from various sources, including data warehouses.
• Provide insights and analytics to support business decision-making.
• Handle customer queries and collaborate with finance teams to ensure effective data usage.
• Explain complex technical concepts to non-technical stakeholders.
• Develop and optimise automation processes using Python for data engineering tasks.

Key Skills & Experience:

• Strong SQL expertise (querying, optimising, and managing databases).
• Experience with ETL pipelines and data transformation processes.
• Familiarity with cloud platforms (AWS & Azure) and data engineering tools.
• Strong communication skills to collaborate with finance end-users and stakeholders.
• Ability to independently handle operational tasks, system improvements, and BAU support.
• Proficiency in Python is a nice to have, particularly for automation and data engineering.

Team & Culture:

You will be part of a relaxed yet highly experienced Finance team, reporting directly into the Finance division. The team consists of six professionals, all engaged in project-based work, while this role will focus on business-as-usual (BAU) operations, system maintenance, and incremental improvements.

Work Arrangement:

• Hybrid model: 3 days in the office, with flexibility when needed.
• Collaborative and diverse work environment with experienced professionals.