Expert Data Analyst - Warsaw, Polska - Emagine Sp. Z O.o.

Opis

Technologies-expected : SQL Python SAS about-project : Industry: Finance / Banking.

Location:
Gdańsk / Warsaw (hybrid work model).


Project languages:
English and Polish.


Rate:
zł/h net+VAT -we're open to negotiations :).


Duration:
long term.


responsibilities :

Analyzing complex data sets to identify trends, patterns, and insights Developing and implementing data models and algorithms to optimize data analysis processes Collaborating with cross-functional teams to understand data requirements and provide data-driven solutions Preparing and presenting reports and visualizations to communicate findings to stakeholders Maintaining and updating data pipelines and databases to ensure data integrity and accuracy Providing guidance and support to junior data analysts in data analysis techniques and best practices Staying up-to-date on industry trends and emerging technologies in data analysis.

requirements-expected : Advanced Business Analyst who has profound experience in doing data Analysis using SQL.

Knowing SAS/Python is an added advantage.

Well-versed and comfortable in handling Huge Datasets.

Good Analytical and problem-solving skills.

Should be able to understand the Business terminologies and act as a very good barrier between the Business and IT development team.

Added advantage to having a Functional background around Credit Risk.

Independently Convert the Business requirements into High-level and low-level Solution design.

Should be able to support in UT, ST and end-to-end UAT testing.

Added advantage in creating functional test cases and validating the results.

It is very important to have good communication skills and be an agile team player.

Minimum 8-10 years of IT experience and minimum 3-4 years of Analyst experience.

offered :
Co-financed benefits: Medicover card, Multisport card.

Attractive remuneration in the B2 B model depending on your competencies and experience.

Transparently built relations.

benefits :
sharing the costs of sports activities private medical care remote work opportunities flexible working time integration events no dress code coffee / tea drinks leisure zone redeployment package christmas gifts employee referral program