Description


• Proficiency in Python and SQL.
• Experience working with data analytics / visualization software. Power BI preferred.
• Background in statistics or data science is a plus.
• Possess strong interpersonal and communication skills (Verbal and Written).
• Strong problem-solving and analytical skills. Ability to analyze / synthesize large amounts of information and present findings to senior audiences.
• Ability to work across functional disciplines and with all levels of the organization.
• Ability to work independently in a high-pressure environment while juggling multiple tasks.
• Ability to be flexible with ever-changing prioritization.
• Creative thinker who will take complete ownership and accountability.
• Background in statistics or data science is a plus		Responsibilities
• Display strong analytical skills, with a proven track record of managing & reporting on large datasets.
• You will engage in the entire data life cycle - collect requirements, identify or build data source, analyze data, build data pipelines to load and transform data, visualize and present data.
• Ensure data quality, manage and scale data solutions.
• Implementing appropriate industry-standard practices, including defining and reporting on key metrics, identifying risks, issues, gaps, and dependencies within and across work streams.
• Assistance with documenting data models and flows, artifacts, and responsibilities.
• Develop, analyze, and present findings in response to senior management requests.
• Demonstrate good time management and ability to prioritize tasks and to meet deadlines across multiple projects.
• Must be flexible, highly adaptable to a constantly changing environment. The candidate will be asked to juggle multiple ad hoc requests in addition to the BAU aspects of the role. The ideal candidate will be a self-motivated and flexible team player who has a strategic vision but also the ability to execute successfully.

Key Skills
Education

Any Graduate

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