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Senior Data Analyst

We are looking for a senior data analyst with 5years experience for one of our client.

Key Responsibilities:

  • Analyze large datasets to identify trends, patterns, and anomalies that can inform business decisions.
  • Develop, maintain, and distribute performance dashboards, reports, and key metrics to stakeholders.
  • Create clear and insightful data visualizations using tools like Tableau, Power BI, or similar platforms.
  • Ensure data accuracy, completeness, and consistency across different data sources.
  • Work closely with cross-functional teams, including Marketing, Finance, and Product Development, to understand their data needs and provide actionable insights.
  • Utilize statistical methods and machine learning models to predict trends and support strategic planning.
  • Automate data collection and reporting processes to improve efficiency.
  • Maintain detailed documentation of data sources, methodologies, and processes to ensure transparency and reproducibility.
  • Provide guidance and support to junior analysts and help develop their analytical skills.

Qualifications:

  • Minimum of 5 years of experience in a data analyst role or related field.
  • Master’s degree in Mathematics, Statistics, Computer Science, Economics, or a related field. A Master’s degree is a plus.
  • Relevant certifications such as Microsoft Certified: Data Analyst Associate, Google Data Analytics Professional Certificate, or other recognized data analytics certifications.

Technical Skills:

  • Proficiency in SQL for data querying.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Strong Excel skills, including advanced functions and pivot tables.
  • Familiarity with programming languages such as Python or R.
  • Experience with big data technologies like Hadoop, Spark, or similar is a plus.

Soft Skills:

  • Strong analytical thinking and problem-solving abilities.
  • Excellent communication skills to present complex data insights to non-technical stakeholders.
  • Attention to detail and a commitment to data accuracy.
  • Ability to work independently and manage multiple projects simultaneously.