Data Analyst in ML Team

PROJECT INFORMATION:

Industry: Finance

Remote work: 100%

Business trips: once/month for 2-3 days to the office in Madrid, Spain. Expenses of the business trips are on the client.

On-boarding: Online or on-site from Madrid if the consultant is open to it.

Project language: English

Project length: 12 months + extensions (we're looking for long-term).

Start: ASAP / Only people with max 30 days notice.

Assignment type: B2B

Remuneration: depending on the candidate’s experience

mid - up to 150 PLN/h net + VAT

senior - up to 195 PLN/h net + VAT

Equipment: Provided by the client.

We're looking for a Data Analyst experienced in eveloping data-driven solutions for the financial services industry, specifically in areas like banking, collections, or similar domains. You will leverage your skills in data analysis, traditional Business Intelligence (BI), and familiarity with Azure cloud services to support the implementation of ML solutions.

You will work within AI & Advanced Analytic team, where there are “units” working on several initiatives. They are composed of Data Scientists and Data Analysts. Besides that you will work closely to the team of Data Engineers and MLOps Engineers.

Responsibilities:

• Partner with business stakeholders to understand their needs and challenges, identifying opportunities where data analysis and ML can add value.
• Gather, clean, and prepare large datasets for analysis, ensuring data quality and consistency.
• Perform exploratory data analysis (EDA) to understand data patterns, trends, and relationships.
• Develop and maintain reports and dashboards using tools like Excel and Powerpoint to communicate insights effectively to various audiences.
• Collaborate with Data Scientists in the development and implementation of ML models, providing data preparation, analysis, and scripting support using Python.
• Monitor and evaluate the performance of ML models, identifying areas for improvement and communicating findings to stakeholders.
• Stay up-to-date on the latest trends and techniques in data analysis and ML, particularly in the financial services domain.

Qualifications:

• Bachelor's degree in Statistics, Mathematics, Business Analytics, Finance, or a related field (or equivalent experience).
• 3+ years of experience in data analysis or a similar role. We're looking for 3 Data Analyst, so we'd also like to have a senior on the board 😊
• Strong analytical skills and a passion for data-driven decision making.
• Proficiency in Python for data manipulation, scripting, and basic model building (essential).
• Experience with Microsoft Excel for data manipulation and visualization.
• Experience with data visualization tools like Powerpoint for creating clear and concise presentations.
• Familiarity with SQL for querying relational databases.
• Experience working in the financial services industry, particularly in banking, collections, or similar domains (preferred).
• Familiarity with Git for version control and collaboration.
• Experience in working with the stakeholders.
• Excellent communication, collaboration, and problem-solving skills.
• Proficiency in English.

Recruitment process:

• A short HR call with our recruiter.
• Technical interview.
• Test assignment.
• Final technical interview.

WE OFFER:

• Challenging international projects in a Scandinavian business culture
• Long-term cooperation
• Transparently built relations based on trust and fair play