Senior Analytics Engineer (Python, SQL)

Dubizzle Limited; Remote; GBP 60,000 - GBP 80,000; Full time

Job summary

A financial services consultancy in the UK is seeking a skilled consultant to perform data analysis in a hands-on role. You will leverage Python and SQL to analyze complex datasets and support senior business experts. With at least 10 years of experience in asset management operations, you will design data solutions and work in a fast-paced environment. The role is fully remote with a contract rate of £600-£650 per day.

Qualifications

• 10+ years of experience in asset management operations.
• Experience in investment-related projects in reinsurance or life insurance.
• Strong knowledge of Python with Pandas and NumPy.

Responsibilities

• Perform complex data manipulation and analysis.
• Utilise Python for handling large datasets and automation.
• Design and execute data mapping and analysis projects.

Skills

Data manipulation

SQL

Leadership

Communication

Python

Tools

DBT

Databricks

Job description

Overview

You will join one of our high-performing consultant teams, delivering cutting-edge solutions for our financial services clients. This is a hands-on role where your data analysis skills and financial acumen will be essential to supporting senior business experts. You will be moving beyond the limitations of standard tools like Excel to solve complex data challenges. Working directly with critical data in the reinsurance domain, performing data crunching & providing actionable insights that inform key decisions.

Responsibilities

• Perform complex data manipulation and analysis to support senior business experts and stakeholders.


• Utilise Python and its data libraries to handle large datasets and automate analytical tasks.


• Design and execute robust data mapping and analysis projects.


• Work with our expert teams to understand client needs and translate them into effective data solutions.


• Work in a fast-paced start-up, agile, high-pressure environment.

Must Have

• Domain knowledge (min 10 years): Have worked within the operations team for an asset management department and understands assets data, like financial securities, trading data.


• Investment & Financial: Experience with investment-related projects or working in the reinsurance or life insurance domain.


• SQL: Data manipulation and querying.


• DBT: Transforming raw data in the warehouse into clean, tested & documented models using SQL.


• Python: Experience in libraries like Pandas and NumPy.


• Leadership: Make decisions on data warehouse, self-starter, lead a team


• Communication: Excellent senior stakeholder, articulate, presenting & engagement skills.

Nice-to-Haves

• Familiarity with Databricks


• Cloud Platform: Building on Azure / GCP

• Fully Remote


• Outside IR35


• Long term contract


• £600-£650/day