Data Visualization Specialist
IndiaPart-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 3–5 years
- Required Skills
- SQLData AnalysisSnowflakeMicrosoft ExcelData visualizationBigQueryRedshift
Requirements
- 3–5 years of experience in data analysis, data visualization, or a related analytical role.
- Strong proficiency in SQL for querying and manipulating large datasets.
- Hands-on experience with dashboarding tools such as Google Data Studio or similar platforms.
- Advanced Excel skills for analysis, reporting, and data modeling.
- Strong problem-solving abilities with experience debugging data issues and explaining technical concepts clearly.
- Ability to work independently and collaborate effectively in remote, cross-functional, global teams.
- Familiarity with data warehouse environments such as BigQuery, Snowflake, or Redshift is a plus.
- Degree in Computer Science, Data Science, Statistics, or a related field is preferred.
- Interest in leveraging data to improve digital services and user outcomes in emerging or diverse markets.
Responsibilities
- Design and develop intuitive dashboards and data visualizations that communicate key performance metrics and trends clearly using tools such as Google Data Studio.
- Ensure data accuracy and reliability by identifying, troubleshooting, and resolving inconsistencies or technical issues in datasets and reporting pipelines.
- Collaborate with product leadership to build executive-level dashboards that support roadmap planning and commercial strategy decisions.
- Perform in-depth data analysis to evaluate product performance across different regions, identifying trends, patterns, and actionable insights.
- Conduct funnel and churn analysis to map user journeys, uncover friction points, and recommend improvements to increase engagement and retention.
- Translate complex analytical findings into clear, story-driven insights for leadership, partners, and stakeholders.
- Contribute to defining product metrics and establishing a consistent measurement framework across teams.
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