Visualization Engineer

0 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Overview

The Visualization & Storytelling (Analytics) Engineer is responsible for transforming complex data into compelling visual narratives that drive decision-making and communicate insights effectively. This role combines expertise in data analytics, visualization tools, and storytelling to create impactful dashboards, reports, and presentations that resonate with diverse stakeholders.

Responsibilities

  • Data Visualization Development: Design and develop interactive dashboards, charts, and visualizations using tools like Tableau, Power BI, Looker, or D3.js to present data insights clearly and effectively.
  • Storytelling with Data: Craft data-driven narratives that translate complex analytical findings into actionable insights for technical and non-technical audiences.
  • Data Analysis: Collaborate with data analysts and scientists to extract, clean, and analyze data from various sources to uncover trends, patterns, and insights.
  • Stakeholder Collaboration: Work closely with business units, product managers, and executives to understand requirements, define KPIs, and tailor visualizations to meet their needs.
  • Tool & Technology Integration: Leverage programming languages (e.g., Python, R, SQL) and visualization libraries (e.g., Matplotlib, Seaborn, Plotly) to build custom visualizations and automate workflows.

Requirements

Tableau, Power BI, Python (matplotlib, seaborn, plotly), flask, streamlit, others. This is a crucial role to make data (not necessarily models) consumable. You could also put the UI elements here or assign those roles to UI development roles in house.

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