Big Data Analyst

Job Summary:

The Big Data Analyst is responsible for analyzing large datasets to identify trends, patterns, and insights that can be used to improve business operations, drive strategic initiatives, and enhance decision-making. This role involves working with various big data technologies and tools to extract, transform, and load (ETL) data, perform statistical analysis, and create visualizations to communicate findings to stakeholders.

Responsibilities:

• Data Collection and Processing:
  • Gather and process large datasets from various sources, including structured and unstructured data.
  • Utilize big data technologies (e.g., Hadoop, Spark, NoSQL databases) to store, process, and analyze data.
  • Develop and maintain ETL processes to ensure data quality and integrity.
  • Clean and validate data to ensure accuracy and consistency.
• Data Analysis and Interpretation:
  • Perform statistical analysis, data mining, and predictive modeling to identify trends, patterns, and correlations.
  • Develop and apply algorithms and machine learning techniques to extract meaningful insights from data.
  • Analyze data to identify opportunities for process improvement, cost reduction, and revenue growth.
  • Conduct ad-hoc analysis to answer specific business questions.
• Data Visualization and Reporting:
  • Create compelling visualizations (e.g., charts, graphs, dashboards) to communicate findings to stakeholders.
  • Develop and maintain reports and dashboards to track key performance indicators (KPIs).
  • Present findings and recommendations to management and other stakeholders in a clear and concise manner.
  • Communicate complex data in a way that non technical people can understand.
• Collaboration and Communication:
  • Collaborate with data scientists, engineers, and business stakeholders to understand data requirements and deliver actionable insights.
  • Work with cross-functional teams to implement data-driven solutions.  
  • Communicate effectively with technical and non-technical audiences.
  • Document all processes and procedures.
• Data Governance and Security:
  • Adhere to data governance policies and procedures to ensure data security and compliance.
  • Implement data quality controls and monitoring mechanisms.
  • Maintain data confidentiality and integrity.

Required Skills and Qualifications:

• Education:
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related field.
• Technical Skills:
  • Proficiency in big data technologies (e.g., Hadoop, Spark, Hive, Pig, Kafka).
  • Experience with SQL and NoSQL databases.
  • Strong programming skills in languages such as Python, R, or Java.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Knowledge of statistical analysis and machine learning techniques.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
• Analytical Skills:
  • Strong analytical and problem-solving skills.
  • Ability to interpret complex data and identify meaningful insights.
  • Experience in data mining and statistical modeling.
  • Strong attention to detail.
• Communication Skills:
  • Excellent written and verbal communication skills.
  • Ability to present complex information in a clear and concise manner.  
  • Ability to collaborate effectively with cross-functional teams.  
• Business Acumen:
  • Understanding of business principles and practices.
  • Ability to translate business requirements into data analysis solutions.
  • Ability to understand and learn new business domains.

Preferred Qualifications:

• Experience in a specific industry (e.g., finance, healthcare, retail).
• Certifications in big data technologies or data analysis.
• Experience with machine learning frameworks (e.g., TensorFlow, scikit-learn).
• Experience with version control such as Git.