Market Intelligence Analyst: Data-Driven Insights for Sales

UBS; Wrocław; On-site; PLN 120,000 - 180,000; Full time

Job summary

UBS in Wroclaw is seeking a Market Intelligence Analyst to turn market, asset management and competitor data into actionable insights that drive sales activities and product decisions.

You will integrate diverse internal and external data, interpret results, and present clear recommendations to sales teams. The role requires strong presentation skills, English fluency, at least 3 years in asset management, and comfort with market data tools like Morningstar, eVestment or Broadridge.

Qualifications

• Strong academic background in economics, finance, data science, or similar field.
• At least 3 years' relevant experience and interest in asset management.
• Ability to transform data into meaningful insights.
• Strong presentation and communication skills for broad audiences.
• Ability to work independently under pressure and meet deadlines.
• Curious about AI to improve workflows with sound judgment.

Responsibilities

• Integrate and analyze broad ranges of external and internal asset management data.
• Interpret results, derive insights, participate in discussions and recommend actions.
• Provide informed views to our salesforce.
• Handle regular and ad-hoc reporting related to market, product and competitor data.
• Collaborate with stakeholders across UBS Asset Management to support sales and product demand.

Skills

Data analysis

Presentation skills

English fluency

Independent work

Stakeholder communication

Education

Degree in economics

Degree in finance

Data science background

Tools

Morningstar

eVestment

Broadridge

Excel

PowerPoint

Job description

UBS in Wroclaw is seeking a Market Intelligence Analyst to turn market, asset management and competitor data into actionable insights that drive sales activities and product decisions.

You will integrate diverse internal and external data, interpret results, and present clear recommendations to sales teams. The role requires strong presentation skills, English fluency, at least 3 years in asset management, and comfort with market data tools like Morningstar, eVestment or Broadridge.