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Title
Text copied to clipboard!Big Data Analyst
Description
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We are looking for a Big Data Analyst to join our dynamic team and help us unlock valuable insights from vast and complex datasets. As a Big Data Analyst, you will be responsible for collecting, processing, and analyzing large volumes of structured and unstructured data from various sources. Your expertise will help our organization make data-driven decisions, optimize processes, and identify new business opportunities. You will work closely with data engineers, data scientists, and business stakeholders to understand requirements, design analytical solutions, and present actionable findings. The ideal candidate is highly analytical, detail-oriented, and has a strong background in data analysis, statistics, and big data technologies. You should be comfortable working with large datasets, using tools such as Hadoop, Spark, SQL, and Python or R. In this role, you will develop and maintain dashboards, reports, and visualizations to communicate insights effectively to both technical and non-technical audiences. You will also be expected to stay up-to-date with the latest trends and advancements in big data analytics, and continuously improve our data analysis processes. If you are passionate about turning data into actionable insights and want to make a significant impact on business outcomes, we encourage you to apply.
Responsibilities
Text copied to clipboard!- Collect, process, and analyze large datasets from multiple sources
- Develop and maintain data pipelines and ETL processes
- Design and implement data models and analytical solutions
- Create dashboards, reports, and data visualizations
- Collaborate with cross-functional teams to understand business requirements
- Identify trends, patterns, and insights to support decision-making
- Ensure data quality, integrity, and security
- Present findings and recommendations to stakeholders
- Stay updated with emerging big data technologies and best practices
- Optimize data analysis workflows for efficiency and scalability
Requirements
Text copied to clipboard!- Bachelor’s degree in Computer Science, Statistics, Mathematics, or related field
- Proven experience as a Big Data Analyst or similar role
- Proficiency in SQL, Python, R, or similar programming languages
- Experience with big data tools such as Hadoop, Spark, or Hive
- Strong analytical and problem-solving skills
- Familiarity with data visualization tools (e.g., Tableau, Power BI)
- Excellent communication and presentation skills
- Ability to work independently and in a team environment
- Attention to detail and commitment to data accuracy
- Knowledge of data warehousing and ETL processes
Potential interview questions
Text copied to clipboard!- Can you describe your experience working with big data technologies?
- How do you ensure data quality and integrity in your analyses?
- What tools and programming languages are you most comfortable with?
- Describe a challenging data analysis project you have completed.
- How do you communicate complex findings to non-technical stakeholders?
- What steps do you take to stay current with big data trends?
- Have you worked with both structured and unstructured data?
- How do you prioritize multiple data analysis tasks?
- What is your experience with data visualization tools?
- Describe your approach to troubleshooting data pipeline issues.
