Senior Analytics Engineer

IVP; City of Westminster; On-site; GBP 60,000 - 85,000; Full time

Job summary

A technology company in the City of Westminster is seeking a Senior Analytics Engineer to enhance product efficiency through data insights. This role involves collaborating with analysts, establishing data infrastructure, and promoting data best practices. Ideal candidates will bring expertise in SQL, Python, and project management skills. The position offers a competitive salary ranging from £60k to £85k gross annually, along with various employee benefits and a flexible working environment.

Benefits

Restricted Stock Units (RSUs)

Flexible working

Paid annual holiday and sick days

6 weeks paid sabbatical after 4 years

Qualifications

• Strong storytelling ability with data.
• Able to build empathy for stakeholders and solve their problems.
• Driver of best practices regarding BI Tools like Looker or Superset.

Responsibilities

• Improve data user productivity while keeping costs sustainable.
• Work closely with Analysts to establish infrastructure and best practices.
• Coordinate and execute the building of core datasets.
• Become the go-to expert for new data tooling.

Skills

Advanced SQL

Python

Analytics pipeline building & data modelling

Strong storytelling with data

Project management

Communication

Airflow

Best practices regarding BI Tools

Job description

We're looking for a Senior Analytics Engineer to join our Analytics Engineering team in London. Your mission is to help us build better products, faster by making it easy for Wisers to get insights from data. At Wise, we have 170+ Analysts and 3k+ weekly active users of our Business Intelligence Tools. Analytics Engineers at Wise ensure that it is easy to find trustworthy data and retrieve it quickly. Here's how you'll be contributing to the Analytics Experience team.

Responsibilities

• Our team is committed to improve data user productivity while keeping cost sustainable.
• You will work closely with the Analysts of one of the tribes at Wise.
• You will focus on working with Analysts to establish basic infrastructure, monitoring, testing & best practices. You do this by mentoring analysts directly and creating and owning a data infrastructure roadmap for the tribe.
• You will coordinate, support and execute on building core datasets.
• You will become the go-to expert for new data tooling and best practices and roll it out across the organisation by helping others to adopt it.
• You will strategically assess what data modelling best practices at Wise should look like and make them a reality in your tribe.

You can read more about our Analytics Career Map and levelling structure here.

What do I need to bring to the role?

• Advanced SQL and Python
• Analytics pipeline building & data modelling
• Strong storytelling with data ability
• Great at project management & communication
• Experience using an orchestration tool like Airflow
• Built something in Python
• Strong storytelling ability with data
• Able to build empathy for your stakeholders and (internal) customers and solve their problems proactively
• Driver of best practices regarding BI Tools like Looker or Superset

Wise is a global technology company, building the best way to move money around the world. Wise is a global technology company, building the best way to move and manage the world's money.

Min fees. Max ease. Full speed. Whether people and businesses are sending money to another country, spending abroad, or making and receiving international payments, Wise is on a mission to make their lives easier and save them money. As part of our team, you will be helping us create an entirely new network for the world's money. For everyone, everywhere.

Compensation & Benefits

• Base salary: £60k-85k gross / year base (based on experience & interview outcomes)
• Restricted Stock Units (RSUs)
• Numerous amount of best in class benefits
• Flexible working – whether it's working from home, school plays or life admin we get that flexibility is essential and you're trusted to do the right thing and be responsible
• Paid annual holiday, sick days, parental leave and other leave opportunities
• 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave

For everyone, everywhere. We're people building money without borders – without judgement or prejudice, too. We believe teams are strongest when they are diverse, equitable and inclusive.