Thoughtspot Developer - India - Apptad Inc.

    Apptad Inc.
    Apptad Inc. India

    2 weeks ago

    Default job background
    Technology / Internet
    Description

    Key Responsibilities:

    Exp years

    Solution Development:

    Design and develop ThoughtSpot applications and dashboards to meet business requirements and analytical needs.

    Customize ThoughtSpot functionalities to create interactive and user-friendly data visualizations and reports.

    Implement data modeling and schema design within ThoughtSpot to optimize performance and usability.

    Data Integration:

    Integrate data from various sources into ThoughtSpot using ETL tools, SQL queries, and API connections.

    Ensure data accuracy, consistency, and reliability within ThoughtSpot by implementing data governance and quality control measures.

    Advanced Analytics:

    Develop advanced analytics solutions within ThoughtSpot, including predictive analytics, machine learning models, and natural language processing (NLP) capabilities.

    Collaborate with data scientists and analysts to leverage advanced analytical techniques and algorithms for data exploration and insight generation.

    Performance Optimization:

    Monitor ThoughtSpot performance metrics and identify opportunities for optimization and improvement.

    Implement performance tuning strategies to enhance query performance, optimize resource utilization, and improve overall system efficiency.

    Training and Support:

    Provide training and support to end-users on ThoughtSpot functionalities, best practices, and troubleshooting techniques.

    Act as a subject matter expert on ThoughtSpot, assisting users with dashboard creation, data exploration, and report generation.

    Qualifications:

    Bachelor's degree in Computer Science, Information Technology, or a related field.

    3-5 years of experience in data analytics, business intelligence, or software development.

    Proficiency in ThoughtSpot platform, including ThoughtSpot Architect, Developer, and Administrator roles.

    Strong understanding of data visualization principles and best practices.

    Experience with data integration tools and techniques, such as ETL, SQL, and APIs.

    Knowledge of advanced analytics concepts, including predictive modeling and machine learning.

    Excellent problem-solving skills and attention to detail.

    Effective communication and collaboration skills.