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Data Analyst - Hybrid Assignment in Mexico City

Orion InnovationMexico City, Mexico City, Mexico
Hybrid Full-time

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Experience Level

Experience

Qualifications

Responsibilities:Collect, organize, analyze, and disseminate large volumes of data with a keen attention to detail to ensure data quality and integrity. Develop, automate, validate, and monitor projects tailored to business analysis needs. Continuously enhance data analysis processes and infrastructure. Generate actionable insights by identifying and interpreting trends or patterns in data sets to support data-driven business decisions. Design reporting systems for visualizing periodic reports summarizing data analyses. Create views and dashboards to provide valuable insights to the business. Required Skills:AWS RedshiftJiraMicrosoft Office SuiteTableau/Power BIProgramming Languages:SQLPython (Pandas, Spark)Agile Methodology Knowledge (Preferred):ScrumKanbanIntermediate English proficiency is required. Soft Skills:Effective communication with key stakeholders and business leaders.

About the job

Orion Innovation is a distinguished, award-winning global business and technology services firm. We specialize in transformative business solutions and product development, leveraging digital strategies, experience design, and engineering prowess. Our unique blend of agility, scale, and maturity enables us to serve a diverse clientele across various sectors, including financial services, telecommunications, media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, e-commerce, and education.

As a Data Analyst, you will play a critical role in analyzing and interpreting complex data sets to drive business decisions.

About Orion Innovation

Orion Innovation is a leading global business and technology services firm known for driving innovative solutions and strategic transformations. Our diverse expertise and commitment to excellence allow us to deliver exceptional value to clients across multiple industries.

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