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Senior Data Analyst

Posted 2024-09-29

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💎 Seniority level: Senior, 5+ years

📍 Location: Europe, APAC, Americas

🔍 Industry: Technology, software development

⏳ Experience: 5+ years

🪄 Skills: LeadershipSQLBusiness IntelligenceData AnalysisETLSnowflakeStrategyData analysisCommunication SkillsCollaboration

Requirements:
  • 5+ years of experience in data analysis, business intelligence, or a related field, with a proven ability to deliver impactful data solutions in fast-paced environments.
  • Advanced proficiency in SQL and strong experience with data warehousing and ETL/ELT processes.
  • Familiarity with Snowflake, DBT, and Looker is highly desirable.
  • Strong analytical thinking with the ability to interpret data, identify trends, and generate actionable insights to inform business decisions.
  • Exceptional communication skills, with the ability to distill complex technical concepts for both technical and non-technical audiences.
  • Experience mentoring junior team members and contributing to team development.
  • Ability to influence and lead cross-functional teams in data-driven initiatives.
  • Bachelor’s or Master’s degree in a relevant field such as Data Science, Computer Science, Statistics, Economics, or Mathematics.
  • A meticulous approach to data, ensuring accuracy and reliability in all deliverables, while maintaining a high standard of data quality.
Responsibilities:
  • Lead data initiatives by designing, developing, and optimizing data models and reporting structures that support the organization’s strategic objectives.
  • Conduct advanced data analysis, leveraging tools like Snowflake, DBT, and SQL to ensure accuracy, consistency, and actionable insights across various data sources.
  • Develop and maintain scalable, robust data models that enable both real-time and ad-hoc analysis, driving key business decisions.
  • Create, manage, and optimize dashboards and reports using Looker, providing stakeholders with clear, actionable insights.
  • Partner closely with business teams, data engineers, and leadership to understand and meet data needs, aligning data initiatives with broader business goals.
  • Provide mentorship to other analysts, fostering professional growth and encouraging best practices across the team.
  • Drive data quality initiatives, identifying and resolving inconsistencies while defining best practices for data governance.
  • Continuously refine and enhance data models, reporting pipelines, and processes to support evolving business needs and ensure scalability.
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