Asset Management Data BA/PM - SQL, PowerBI, Python

Asset Management Data BA/PM - SQL, PowerBI, Python

Full-Time 51750 - 63250 Β£ / year (est.) No working from home possible
Saragossa

At a Glance

  • Tasks: Gather requirements and translate business needs into technical specs using SQL, PowerBI, and Python.
  • Company: Saragossa, a dynamic company in London focused on asset management.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Exciting projects with excellent career advancement opportunities.
  • Why this job: Join a collaborative Agile team and make an impact in data governance and client communications.
  • Qualifications: Experience with SQL, PowerBI, Python, and strong analytical skills.

The predicted salary is between 51750 - 63250 Β£ per year.

Saragossa in London is seeking a Business Analyst to gather requirements through workshops, interviews, and reviews, and to translate business needs into technical specs for data engineers. You will collaborate with stakeholders and PMs in an Agile environment, use SQL, PowerBI and Python to analyse data, define scope, document flows, promote data governance, and support regulatory reporting and client communications.

Asset Management Data BA/PM - SQL, PowerBI, Python employer: Saragossa

Saragossa is an exceptional employer that fosters a dynamic and collaborative work culture, where innovation and creativity are highly valued. Located in a vibrant energy market, employees benefit from extensive professional growth opportunities, including training in advanced analytical tools and exposure to diverse structured transactions. Join us to be part of a forward-thinking team that not only supports your career development but also encourages meaningful contributions to the energy sector.

Saragossa

Contact Details:

Saragossa Recruitment Team

We think you need these skills to ace Asset Management Data BA/PM - SQL, PowerBI, Python

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Attention to Detail
Data Governance