SWITS DIGITAL Private Limited

Data Analyst

Bangalore Division, KA, IN

16 days ago
Save Job

Summary

Job Title: Data Analyst

Location: Bangalore

Experience: 5-7 Years

Roles And Responsibilites

  • Analyze complex datasets to derive actionable insights and support decision-making processes.
  • Develop complex database queries (BigQuery/ SQL) to extract data of interest and develop analytic solutions to support business needed
  • Develop python-based code/ scripts for complex data processing and analysis
  • Develop, maintain, and manage advanced reporting, analytics, dashboards, and other BI solutions using Tableau.
  • Create and maintain documentation for data processes, reports, and dashboards.
  • Design, develop, and optimize ETL processes to ensure efficient data flow and integration.
  • Build and maintain scalable data pipelines and architectures using SQL, Python, and BigQuery.
  • Work closely with stakeholders to understand their data needs and provide technical expertise.
  • Collaborate with data scientists, analysts, and other engineers to develop data-driven solutions.
  • Communicate findings and recommendations to non-technical stakeholders in a clear and concise manner.
  • Identify opportunities for process improvements and implement best practices
  • Maintain comprehensive project-related documentation, including data dictionaries, pipeline workflows, and technical specifications.
  • Communicate results effectively to stakeholders and provide training and support to team members on data tools and processes.

Required Skills

  • Minimum of 5 years of experience in data analysis, data engineering, or a related role.
  • Advanced proficiency in SQL for querying and manipulating large datasets.
  • Strong programming skills in Python for data manipulation, automation, and analysis.
  • Expertise in Tableau for creating interactive and insightful dashboards.
  • Experience with Google BigQuery for data warehousing and analytics.
  • Experience with Dataiku for ETL and related data analysis
  • Familiarity with machine learning frameworks (e.g., TensorFlow, scikit-learn) is a plus.
  • Knowledge of cloud platforms (e.g., Google Cloud Platform, AWS, Azure) is desirable.
  • Experience with version controls platforms like GIT

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