Utilize an analytical mindset to collect, organize, and deliver large datasets from multiple channels and sources.
Provide technical/subject matter expertise in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring, and reporting.
Investigate/adjudicate/conduct open-source research on businesses.
Review and test data to ensure it meets high standards of quality, accuracy, and reliability.
Identify and implement continuous improvements in data collection and delivery processes.
Proactively analyze and troubleshoot data-related issues, assess their criticality, escalate for timely resolution, and solve problems with limited supervision.
Collaborate with internal and external stakeholders on data compilation, analysis, and quality assurance.

Bachelor's degree in data science, Information technology, Computer Science, Mathematics, Statistics, Economics or a related field.
3+ years of experience in data analysis, visualization, statistics, and/or data manipulation.
Strong technical aptitude with proficiency in Microsoft office suite, as well familiarity with SQL or other programming or scripting languages (e.g. Python).
Experience with data transformation processes and exposure to both standard and complex data types.
Passionate and curious about data, with the ability to query and analyze datasets to drive fact-based decisions.
Results-oriented and capable of working independently while managing multiple priorities.
Ability to interpret and translate data into meaningful business insight.
Ability to operate with a sense of urgency and meet critical deadlines.
Strong organization, decision-making, and analytical skills.
Strong verbal, written and interpersonal communication skills.
Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
Where applicable, fluency in English and languages relevant to the working market.

Data Engineer

Key skills