Support internal teams by reducing operational burden and improving efficiency through reliable, well-managed data services.
Take ownership of core data activities such as data transfer, data quality control, and dataset management.
Ensure that information is accurate, consistent, and available when needed.
Keep datasets clean and well-structured, enabling stakeholders to make decisions and progress work without delays caused by errors, rework, or unclear data.

Requirements

Education in Data Science, Computer Science, IT, Engineering, Mathematics, or related fields or equivalent practical experience.
Ability to understand, analyse, and work with large volumes of data, identifying anomalies, inconsistencies, and data quality issues.
Understanding of data manipulation concepts, data structures, and basic analytics.
Experience working with structured datasets and operational data is desirable
Basic knowledge of databases and data querying (e.g. SQL) is desirable.
Familiarity with data processing tools and scripting languages (e.g. Python, or similar) is a plus.
Understanding of Agile methodologies and experience working within agile teams (stand-ups, planning, retrospectives) is desirable
Experience working with task and issue tracking tools (e.g. Jira, Confluence or similar).
Strong attention to detail and focus on data accuracy and reliability is essential
Ability to work as a team player with local and offshore teams.
Self-motivated and manage priorities under deadlines.
Effective communication skills, both verbal and written English.

Benefits

medical coverage
life insurance
pension plans
paid time off
wellness initiatives
fitness programs
team-building activities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data quality controldata transferdataset managementdata manipulationdata structuresdata analyticsSQLPythondata processingdata querying

Soft Skills

attention to detailteam playerself-motivatedeffective communicationanalytical skillsproblem-solvingtime managementcollaborationadaptabilityprioritization