Data Analyst

2 weeks ago

Alappuzha, India Syncpoint360 Full time

The ideal candidate will use their passion for big data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users.

Responsibilities

  • Analyze and interpret large datasets hosted on cloud platforms such as AWS, Azure, and Google Cloud.
  • Utilize cloud-based databases and data warehouses, such as Snowflake, Google BigQuery, Azure Synapse Analytics, or AWS Redshift, to perform complex data analyses.
  • Design and develop BI dashboards and reports using cloud-enabled tools like Tableau, Power BI, and Looker.
  • Write and optimize complex SQL queries for data extraction and transformation across cloud data systems.
  • Use Python and libraries like NumPy, Pandas, and Scikit-learn for advanced data preprocessing, statistical analysis, and predictive modeling.
  • Implement NLP and LLM techniques on structured and unstructured data for advanced insights.
  • Work closely with data engineering teams to ensure proper data quality and governance in cloud systems.
  • Ensure scalability and performance optimization of analytical queries in a cloud-first environment.
  • Document all analytical processes and communicate findings effectively in Japanese and English to technical and non-technical stakeholders.


Qualifications

  • Communication Skills: Fluency in Japanese and English, with the ability to present data insights clearly.
  • Data Warehouses: Proficiency in Snowflake, BigQuery, Azure Synapse Analytics, or AWS Redshift.
  • Query Languages: Advanced skills in SQL for querying and optimizing cloud-based databases.
  • BI Tools: Experience with Tableau, Power BI, or Looker, particularly in a cloud-native environment.
  • Python Expertise: Hands-on experience with NumPy, Pandas, and statistical modeling frameworks like Scikit-learn.
  • Experience in API integration for extracting and processing data from various cloud systems.
  • Cloud Platforms: Experience with AWS, Azure, or Google Cloud for data handling and analysis.
  • Technical Knowledge: Solid understanding of algorithms, mathematical concepts, and system performance optimization.
  • Documentation: Strong skills in maintaining and documenting processes in a cloud-centric ecosystem.
  • Familiarity with NLP techniques and LLMs for advanced text data analysis.
  • Knowledge of data governance and security best practices in the cloud.

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