Senior IT Analyst for Data Integration & Enablement Stream

emagine; Województwo pomorskie; Hybrid; PLN 120,000 - 180,000; Full time

Job summary

emagine is seeking a data-focused professional to act as a bridge between business requirements and technical teams. The role focuses on delivering high-quality data products with strong analytical thinking and a solid understanding of data quality, Hive, and ML concepts.

You will work in a hybrid model in Poland, starting ASAP, on a 12-month contract with potential prolongations. B2B arrangements apply, with English as the project language and banking domain knowledge advantageous.

Qualifications

• Must be able to translate business needs into technical requirements.
• Strong understanding of data quality concepts and governance.
• Experience with data wrangling, cleansing and profiling.

Responsibilities

• Bridge the gap between business needs and developers.
• Contribute to building common data product capabilities within the team.
• Design advanced data and analytics solutions.
• Collaborate with stakeholders to define expected outcomes.
• Manage delivery dependencies with other teams.
• Participate in an Agile cross-functional delivery team.
• Demonstrate analytical and solution-oriented thinking.
• Handle complex end-to-end data projects and processes.
• Learn new technologies quickly and ask insightful questions.
• Communicate fluently with business users.

Skills

SQL

Requirements analysis

Data analysis

Data quality

Communication

Task ownership

Analytical thinking

ML concepts

CI/CD

Big data

Tools

Hive

Job description

PROJECT INFORMATION:

Industry: banking

Work model: hybrid

Project language: English

Business trips: n/a

Project length: 12 months contracts + prolongations.

Start: ASAP

Assignment type: B2B

Summary:

Act as an essential link between business requirements and technical teams to deliver high-quality IT solutions focused on data products.

Responsibilities:

• Bridge the gap between business needs and developers.


• Contribute to building common capabilities for Data Products within GDM.


• Design advanced solutions related to data and analytics.


• Collaborate closely with stakeholders to understand expected outcomes.


• Manage delivery dependencies with other teams and organizational units.


• Participate actively in an Agile environment as part of a cross-functional delivery team.


• Demonstrate strong analytical and solution-oriented thinking.


• Handle complex end-to-end solutions and processes effectively.


• Quickly learn new technologies and ask insightful questions.


• Communicate fluently and work effectively with business users.


• Utilize banking knowledge and experience as an asset.

Must Haves:

• Knowledge of SQL (must)


• Experience with complex requirements analysis


• Data analysis, data hygiene, and data quality expertise


• Familiarity with Hive


• Strong communication skills


• Ownership of tasks, features, and user stories


• Analytical thinking and problem-solving abilities


• Basic understanding of machine learning concepts, CI/CD pipelines, and big data

Nice to Haves:

• Python coding skills


• Experience with Spark