Hybrid Data Scientist / Analyst - SQL + Python, Equity

Propel; Greater London; Hybrid; GBP 50,000; Full time

Job summary

A dynamic Fintech startup based in Greater London is seeking a Mid-Level Data Analyst/Data Scientist to enhance their data function. You'll work in a collaborative, fast-paced environment where data-driven decision-making is pivotal to the business. Key responsibilities include executing SQL-driven analyses, supporting risk and fraud initiatives, and acting as a data partner for diverse teams. Ideal candidates have strong SQL skills, Python experience, and a background in analytics. The role offers competitive compensation and equity opportunities.

Benefits

Competitive salary

Equity opportunities

Collaborative work environment

Qualifications

• Experience in a fast-paced, ambiguous environment.
• Confident in problem-solving and logical thinking.
• Eager to learn and adapt within a collaborative setting.

Responsibilities

• Support data science and analytics across the business.
• Execute SQL-driven analysis for various business needs.
• Act as a data partner to internal and external stakeholders.
• Improve efficiency and prioritize incoming data requests.
• Collaborate with data engineers and present insights.

Skills

Strong SQL querying skills

Solid experience with Python

Strong grasp of analytics and data science fundamentals

Mathematical, statistical, or quantitative academic background

Comfortable working with large datasets

Strong problem-solving skills

Collaborative mindset

Tools

BI and visualization tools (Metabase, QuickSight)

Redshift

MongoDB

Excel

Job description

A dynamic Fintech startup based in Greater London is seeking a Mid-Level Data Analyst/Data Scientist to enhance their data function. You'll work in a collaborative, fast-paced environment where data-driven decision-making is pivotal to the business. Key responsibilities include executing SQL-driven analyses, supporting risk and fraud initiatives, and acting as a data partner for diverse teams. Ideal candidates have strong SQL skills, Python experience, and a background in analytics. The role offers competitive compensation and equity opportunities.