Data Analyst collecting and analyzing data to support decision-making processes. Collaborating with various departments to maintain and optimize datasets for efficient data storage.
Responsibilities
Utilize an analytical mindset to collect, organize, and deliver large datasets from multiple channels and sources
Engage in various analytical tasks, including design, development, validation, calibration, documentation, implementation, monitoring and reporting
Review and validate data to ensure it meets high standards of quality, accuracy, and reliability
Support continuous improvements in data collection and delivery processes
Contribute to the creation of tools for monitoring and reporting
Proactively analyze and troubleshoot data-related issues, assess their criticality, escalate for timely resolution, and participate in problem-solving
Collaborate with internal and external stakeholders on data compilation, analysis, and quality assurance
Provide analysis and drive modern solutions and efficiencies in our processes
Requirements
Minimum 1 year of experience working as a Data Analyst
Bachelor’s Degree in Data Science, Information Systems, Computer Science, Mathematics, Statistics, Economics or a related field
Experience in related fields preferred. Familiarity and comfort working in a production-based environment
Experience in data visualization, analysis, statistics and/or data manipulation is a plus
Strong technical aptitude with proficiency in Microsoft office suite
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 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.
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