Senior Analytics Engineer

Data Freelance Hub; Remote; GBP 60,000 - 80,000; Full time

Job summary

A tech consulting company is seeking a Senior Analytics Engineer for a 6-month rolling contract, paying £600 – £650 per day. This fully remote role requires over 10 years of experience in asset management. The ideal candidate will have strong skills in SQL, Python, and DBT, along with a background in reinsurance or life insurance. Responsibilities include complex data analysis, project execution, and stakeholder engagement while working in a dynamic environment.

Benefits

Fully remote

Outside IR356 month rolling contracts

Competitive daily rate

Qualifications

• 10+ years in asset management with a focus on financial securities and trading data.
• Experience in reinsurance or life insurance projects.
• Strong expertise in data manipulation and querying using SQL.
• Ability to use DBT for transforming data into tested models.
• Proficiency in Python, especially in data libraries like Pandas and NumPy.
• Experience leading teams and making decisions on data projects.

Responsibilities

• Perform complex data manipulation and analysis for stakeholders.
• Utilise Python for handling large datasets and automating tasks.
• Design and execute data mapping and analysis projects.
• Translate client needs into effective data solutions.
• Work in a fast-paced, agile environment.

Skills

SQL

Python

DBT

Data manipulation

Stakeholder engagement

Communication

Leadership

Tools

Pandas

NumPy

Databricks

Azure

Job description

⭐ - Featured Role | Apply direct with Data Freelance Hub

Description

This role is for a Senior Analytics Engineer with a 6‑month rolling contract, offering £600 – £650 per day, fully remote. Requires 10+ years in asset management, expertise in SQL, Python, and DBT, plus experience in reinsurance or life insurance. 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 move beyond the limitations of standard tools like Excel to solve complex data challenges and work directly with critical data in the reinsurance domain, performing data crunching and providing actionable insights that inform key decisions.

Key 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 and high‑pressure environment.

Must Have

• Domain knowledge (minimum 10 years): Have worked within the operations team for an asset‑management department and understand assets data, such as financial securities and trading data.
• Investment & Financial: Experience with investment‑related projects or working in the reinsurance or life insurance domain.
• SQL: Data manipulation and querying.
• DBT: Transform raw data in the warehouse into clean, tested, and documented models using SQL.
• Python: Experience in libraries such as Pandas and NumPy.
• Leadership: Ability to make decisions on the data warehouse, be self‑starter, and lead a team.
• Communication: Excellent senior stakeholder engagement, articulation, and presenting skills.

Nice‑to‑Haves

• Familiarity with Databricks.
• Experience building on Azure cloud platform.

Benefits

• Fully remote.
• Outside IR356 month rolling contracts.
• £600 – £650 per day.