3,245 Data Visualization Specialist jobs in India

About This Role

The Data Visualization Specialist plays a pivotal role in crafting, refining and maintaining robust data pipelines and analytics infrastructure with a primary focus on visualization and dashboarding. This position lies at the intersection of data engineering and business intelligence, empowering stakeholders to access actionable insights through intuitive dashboards and reports.

Key Responsibilities

• Design and develop interactive dashboards to support KPIs, experimentation and business insights
• Collaborate closely with analysts, BI teams and business users to gather requirements and deliver effective visualizations
• Perform data validation, feature engineering and exploratory data analysis to ensure data accuracy and integrity
• Analyze A/B test results and deliver insights that inform business strategies
• Establish and maintain standards for statistical testing, data validation and analytical workflows
• Integrate various database systems and manage associated drivers and connections
• Ensure deployments are secure, scalable and high-performing
• Communicate findings and recommendations clearly to both technical and non-technical stakeholders

Required Skills and Qualifications

• Proven expertise in building dashboards and visualizations using Apache Superset
• Strong command of SQL and experience working with relational databases like MySQL or PostgreSQL
• Proficiency in Python (or Java) for data manipulation and workflow automation
• Solid understanding of data modeling, ETL/ELT pipelines and data warehousing principles
• Excellent problem-solving skills and a keen eye for data quality and detail
• Strong communication skills, with the ability to simplify complex technical concepts
• Nice to have familiarity with cloud platforms

Qualifications

• Bachelor's degree in Computer Science, Engineering or a related field
• 3+ years of relevant experience

We are seeking a skilled and innovative data professional to join our organization. This role involves empowering business decision-making by designing, building, and maintaining insightful and interactive dashboards and reports using Looker.

Key responsibilities include:

• Designing and developing robust LookML models that meet diverse business needs.
• Creating visually appealing and interactive dashboards and reports in Looker that effectively communicate key insights.
• Collaborating with stakeholders to gather requirements and translate them into technical specifications.
• Ongoing optimization of Looker performance for scalability, efficiency, and user experience.
• Implementing data visualization best practices to ensure clear and effective communication of data insights.
• Defining and tracking key performance indicators (KPIs) and building visualizations to monitor them.

This is an excellent opportunity for a motivated and detail-oriented individual to grow professionally while working on impactful projects in a collaborative and supportive environment.

Required skills and qualifications include:

• Strong proficiency in LookML development, including explores, views, dimensions, measures, and derived tables.
• Advanced SQL skills for data querying, manipulation, and analysis.
• In-depth understanding of data warehousing concepts and data modeling techniques.
• Proven experience creating clear, insightful, and user-friendly data visualizations.
• Excellent problem-solving and analytical skills, with a strong attention to detail.
• Strong written and verbal communication skills, with the ability to collaborate effectively with cross-functional teams.

Benefits of this role include:

• A competitive salary and benefits package
• Opportunities for professional growth and development
• Challenging and impactful projects
• A collaborative and supportive work environment

We are seeking an experienced Data Visualization Specialist to empower data-driven decision-making across our organization. You will play a crucial role in designing, building, and maintaining insightful and interactive dashboards and reports.

• Create robust, well-documented LookML models to support diverse business requirements.
• Design and build interactive and visually appealing dashboards and reports that effectively communicate key insights.
• Partner with stakeholders to gather requirements, understand their needs, and translate them into technical specifications.
• Optimize Looker performance for scalability, efficiency, and user experience.
• Implement data visualization best practices to ensure clear and effective communication of data insights.
• Work with stakeholders to define and track key performance indicators (KPIs) and build visualizations to monitor them.
• Troubleshoot and resolve Looker-related issues, ensuring high availability and reliability of the platform.

• LookML Expertise: Strong proficiency in LookML development, including explores, views, dimensions, measures, and derived tables.
• Advanced SQL: Excellent SQL skills for data querying, manipulation, and analysis.
• Data Warehousing Knowledge: In-depth understanding of data warehousing concepts and data modeling techniques.
• Data Visualization Skills: Proven experience creating clear, insightful, and user-friendly data visualizations.
• Requirements Gathering: Ability to translate business requirements into technical solutions.
• Problem-Solving: Excellent problem-solving and analytical skills.
• Communication and Collaboration: Strong written and verbal communication skills.

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Challenging and impactful projects.
• A collaborative and supportive work environment.

About the Role

We are seeking a skilled Data Visualization Engineer to play a key role in designing, developing, and maintaining scalable data pipelines and analytics infrastructure. This individual will focus on leveraging Apache Superset to deliver actionable insights through intuitive dashboards and reports.

Core Responsibilities

• Create interactive dashboards in Apache Superset to support business decisions and experimentation
• Collaborate with stakeholders to gather requirements and deliver effective visualizations
• Perform data validation, feature engineering, and exploratory data analysis to ensure data accuracy
• Analyze A/B test results and deliver recommendations for business strategies
• Establish standards for statistical testing, data validation, and analytical workflows
• Integrate Apache Superset with various database systems (e.g., MySQL, PostgreSQL) and manage associated drivers
• Ensure secure, scalable, and high-performing deployments of Apache Superset
• Clearly communicate findings to both technical and non-technical stakeholders

Required Skills

• Expertise in building dashboards using Apache Superset
• Strong command of SQL and experience working with relational databases like MySQL or PostgreSQL
• Proficiency in Python for data manipulation and workflow automation
• Solid understanding of data modeling, ETL/ELT pipelines, and data warehousing principles
• Excellent problem-solving skills and attention to detail
• Strong communication skills, with ability to simplify complex concepts
• Familiarity with cloud platforms (AWS)

Qualifications

• Bachelor's degree in Computer Science or related field
• 3+ years of relevant experience

About the Role

We're seeking a Data Visualization Specialist to design, develop and maintain scalable data pipelines and analytics infrastructure using Apache Superset. This role combines data engineering and business intelligence to provide stakeholders with accurate insights through intuitive dashboards and reports.

Key Responsibilities

• Create interactive dashboards in Apache Superset to support KPIs and business insights
• Collaborate with analysts, BI teams and business users to deliver effective visualizations
• Analyze data to ensure accuracy and integrity, performing data validation, feature engineering and exploratory data analysis
• Communicate findings and recommendations to technical and non-technical stakeholders

Required Skills and Qualifications

• Proven expertise in building dashboards using Apache Superset
• Strong command of SQL and experience working with relational databases like MySQL or PostgreSQL
• Proficiency in Python for data manipulation and workflow automation
• Solid understanding of data modeling, ETL/ELT pipelines and data warehousing principles
• Excellent problem-solving skills and attention to detail
• Strong communication skills, able to simplify complex concepts

Preferred Qualifications

• Familiarity with cloud platforms (AWS, ECS)

Benefits and Perks

• Opportunity to work with cutting-edge technology
• Collaborative and dynamic work environment

Note: We're committed to diversity and inclusion in our workplace and welcome applications from candidates with diverse backgrounds and experiences.

About this Opportunity

As a seasoned Data Engineer, you will play a pivotal role in designing and developing scalable data pipelines and analytics infrastructure using Apache Superset. This position sits at the intersection of data engineering and business intelligence, empowering stakeholders to access accurate, actionable insights through intuitive dashboards and reports.

Key Responsibilities

• Create, customize, and maintain interactive dashboards in Apache Superset to support KPIs, experimentation, and business insights
• Collaborate closely with analysts, BI teams, and business users to gather requirements and deliver effective Superset-based visualizations
• Perform data validation, feature engineering, and exploratory data analysis to ensure data accuracy and integrity
• Analyze A/B test results and deliver insights that inform business strategies
• Establish and maintain standards for statistical testing, data validation, and analytical workflows
• Integrate Superset with various database systems (e.g., MySQL, PostgreSQL) and manage associated drivers and connections
• Ensure Superset deployments are secure, scalable, and high-performing

Requirements

• Proven expertise in building dashboards and visualizations using Apache Superset
• Strong command of SQL and experience working with relational databases like MySQL, or PostgreSQL
• Proficiency in Python (or Java) for data manipulation and workflow automation
• Solid understanding of data modeling, ETL/ELT pipelines, and data warehousing principles
• Excellent problem-solving skills and a keen eye for data quality and detail
• Strong communication skills, with the ability to simplify complex technical concepts for non-technical audiences

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field
• 3+ years of relevant experience

About the Job

This position sits at the intersection of data engineering and business intelligence, enabling stakeholders to access accurate, actionable insights through intuitive dashboards and reports.

• Create interactive dashboards in Apache Superset to support KPIs, experimentation, and business insights
• Work closely with analysts, BI teams, and business users to deliver effective visualizations
• Perform data validation, feature engineering, and exploratory data analysis to ensure data accuracy and integrity
• Analyze A/B test results and deliver insights that inform business strategies
• Establish standards for statistical testing, data validation, and analytical workflows
• Integrate Superset with various database systems and manage associated drivers and connections
• Ensure secure, scalable, and high-performing Superset deployments
• Craft findings and recommendations for technical and non-technical stakeholders

Key Skills and Qualifications

• Expertise in building dashboards and visualizations using Apache Superset
• Strong SQL skills and experience working with relational databases
• Proficiency in Python (or Java) for data manipulation and automation
• Solid understanding of data modelling, ETL/ELT pipelines, and data warehousing principles
• Excellent problem-solving skills and keen eye for data quality and detail
• Strong communication skills, with ability to simplify complex concepts
• Nice to have familiarity with cloud platforms

To be considered for this role, candidates should possess a bachelor's degree in Computer Science, Engineering, or a related field, and hold 3+ years of relevant experience.

About the Role

The Data Engineer plays a crucial part in designing, developing, and maintaining scalable data pipelines and analytics infrastructure. This role combines data engineering and business intelligence to provide stakeholders with accurate, actionable insights through interactive dashboards.

Key Responsibilities:

• Create, customize, and maintain Superset-based visualizations to support business KPIs, experimentation, and insights
• Collaborate with analysts, BI teams, and stakeholders to gather requirements and deliver effective data visualizations
• Analyze A/B test results and deliver strategic insights that inform business decisions
• Maintain standards for statistical testing, data validation, and analytical workflows
• Integrate Superset with various database systems (e.g., MySQL, PostgreSQL) and manage associated connections
• Ensure secure, scalable, and high-performing Superset deployments

Requirements

• Proven expertise in building dashboards using Apache Superset
• Strong SQL skills and experience working with relational databases
• Proficiency in Python for data manipulation and workflow automation
• Solid understanding of data modeling, ETL/ELT pipelines, and data warehousing principles
• Excellent problem-solving skills and attention to detail
• Strong communication skills, with the ability to simplify complex technical concepts