Data Analyst (Banking Domain)

Natobotics; Greater London; Hybrid; GBP 50,000 - 70,000; Full time

Job summary

A financial technology company in Greater London is seeking an experienced Data Analyst to join their team. In this hybrid position, you will be responsible for collecting and analyzing both structured and unstructured data, developing dashboards with tools like Power BI, and providing actionable insights to stakeholders. A strong background in SQL, data visualization, and 8 years of relevant experience, particularly in banking, is essential for success in this role.

Qualifications

• 8 years of experience in data analysis, preferably in banking.
• Strong foundational knowledge in SQL for data manipulation.
• Proficient in using Excel for advanced data analysis.

Responsibilities

• Collect, clean, and analyze data from various sources.
• Develop reports and dashboards using visualization tools.
• Provide actionable insights based on data trends.

Skills

SQL and database management

Excel (advanced formulas, pivot tables)

Data visualization tools (Power BI / Tableau)

Basic knowledge of Python or R

Statistics and data modeling

Analytical and problem-solving skills

Communication and presentation skills

Job description

Role

Data Analyst

Experience

8 years

Location

London

Work mode

Hybrid

Key Responsibilities

• Collect, clean, and analyze structured and unstructured data from multiple sources
• Develop dashboards, reports, and visualizations using tools like Power BI, Tableau, or Excel
• Interpret data trends and provide actionable insights to stakeholders
• Collaborate with cross-functional teams to understand business requirements
• Perform data validation and ensure data accuracy and consistency
• Write complex SQL queries to extract and manipulate data
• Automate data processes and improve reporting efficiency
• Support business decisions with data-driven recommendations

Banking Experience Required

Banking Experience Must

Required Skills

• Strong knowledge of SQL and database management
• Proficiency in Excel (advanced formulas, pivot tables)
• Experience with data visualization tools (Power BI / Tableau)
• Basic knowledge of Python or R for data analysis
• Understanding of statistics and data modeling concepts
• Strong analytical and problem-solving skills
• Excellent communication and presentation skills