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Senior Data Analyst

Posted 2 months agoViewed

View full description

📍 Location: Brazil, the U.S., and Canada

🔍 Industry: Financial Services

🗣️ Languages: English

🪄 Skills: PythonSQLData AnalysisData MiningMachine LearningCommunication SkillsAnalytical SkillsProblem SolvingData visualization

Requirements:
  • Proven experience in data analytics: A strong track record of delivering impactful insights and recommendations through data analytics techniques.
  • Solid understanding of statistical methodologies: Experience applying statistical inference, regression analysis, hypothesis testing and other relevant techniques.
  • Strong proficiency in SQL: Ability to write complex queries to extract and manipulate data from various data sources.
  • Experience with data visualization tools: Proficiency in creating insightful and actionable dashboards. Experience with Amazon QuickSight is a plus.
  • Excellent communication and presentation skills: Ability to effectively communicate complex analytical findings to both technical and non-technical audiences.
  • Strong problem-solving and critical thinking skills: Ability to define problems, develop hypotheses, and interpret analytical results to drive business value.
  • Business acumen: Ability to understand business objectives and translate them into analytical questions and solutions.
  • Fluent English.
Responsibilities:
  • Lead complex analytical projects: Define problem statements, formulate hypotheses, and execute rigorous analysis to uncover key trends, patterns, and opportunities across various business functions
  • Develop strategic insights and recommendations: Translate complex data findings into clear, concise, and actionable recommendations for business stakeholders and leadership.
  • Collaborate with business partners: Work closely with business leaders to understand their strategic priorities and identify areas where analytics can provide significant impact.
  • Design and implement advanced analytical models: Utilize statistical techniques, machine learning concepts, and data mining methodologies to build predictive models, segmentation strategies and other advanced analytical solutions.
  • Data Visualization: Effectively communicate analytical findings and recommendations through compelling presentations and insightful dashboards using Amazon QuickSight.
  • Drive data literacy and adoption: Champion a data-driven culture within the organization by sharing knowledge, best practices and promoting the use of data in decision-making.
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