Data Visualization Analyst

Data Visualization Analyst

Experience: 25 years

Location: Onsite- Delhi NCR

About Jarvis Technology & Strategy Consulting:

Jarvis Technology & Strategy Consulting is one of Indias leading political and policy consulting organizations, founded by socio-entrepreneurs from premier institutions such as IIT, ISB, and NIT. With a strong presence across the country, Jarvis leverages data and technology to drive large-scale political campaigns, design action-oriented community outreach programs, enable targeted communications, and improve the effectiveness of government initiatives.

The organization works at the intersection of policy, governance, strategy, and technology, offering young professionals a dynamic and fast-paced work environment with significant learning and growth opportunities.

About the Role:

We are hiring a Data Visualization Expert who can turn raw numbers into compelling visual stories. You will partner with analysts, leadership, and clients to design, build, and ship dashboards and reports owning both the visual design and the technical implementation end-to-end.

Key Responsibilities:

Design and build dashboards, infographics, and narrative reports that communicate complex data simply and beautifully.

Convert datasets into storyboards structuring reports with a clear flow: context trend insight recommendation.

Apply visualization principles chart selection, color theory, data-ink ratio, information hierarchy, and accessibility to every deliverable.

Build and maintain interactive dashboards using Power BI, Tableau, or Looker Studio.

Develop production-grade dashboard applications using React / Next.js (frontend) and Go / Ruby on Rails / Node.js (backend).

Design and consume RESTful APIs; integrate data sources into live dashboard interfaces.

Write and optimize complex SQL queries; pull and shape data independently for visualization needs.

Query MongoDB using aggregation pipelines and document filtering for dashboard data layers.

Build custom chart components using D3.js, E-Charts, Recharts, or Chart.js within the frontend stack.

Produce client-ready PDFs, decks, and one-pagers (PowerPoint / Figma / Canva).

Required Qualifications:

25 years of experience in data visualization, BI reporting, or full-stack dashboard development.

Deep understanding of visualization principles: chart selection, color theory, data-ink ratio, information hierarchy, and accessibility (WCAG AA).

Proficiency in at least two BI tools: Power BI, Tableau, Looker Studio, or Google Data Studio.

Expert SQL complex joins, window functions, CTEs, subqueries; solid grasp of DDL, DML, DCL, and DQL.

MongoDB aggregation pipelines, document queries, and schema understanding.

Frontend: React or Next.js component architecture, state management, API integration, responsive UI.

Backend: Go (Gin / Echo), Ruby on Rails, or Node.js REST API design, authentication, data serving.

Experience integrating charting libraries (D3.js, E-Charts, Recharts, Chart.js) into production frontends.

A demonstrable portfolio of dashboards, reports, or data products is mandatory.

Preferred Qualifications:

Working knowledge of Python (pandas + plotly / matplotlib) or JavaScript (D3.js, Chart.js).

Experience designing in Figma, Adobe Illustrator, or Canva for polished print / PDF outputs.

PowerPoint mastery building decks that look like consulting-firm output, not stock templates.

Familiarity with Google Apps Script / Google Sheets dashboards is a plus.

Prior work in consulting, data journalism, agencies, or analytics-heavy domains.

What You'll Bring:

A storytellers instinct you naturally ask What is the headline of this data?

Ability to own a visualization from database query to deployed UI without handing off.

Obsession with detail: alignment, spacing, font weights, axis labels.

Curiosity about the data itself, not just how to display it.

Ability to take vague briefs and produce 23 visual options to choose from.

Portfolio Requirement:

Applications without a portfolio (link, PDF, or sample dashboards) will not be considered. Please share 23 of your best examples that demonstrate:

A dashboard you designed and built end-to-end (interactive preferred).

A custom-coded dashboard or data product built with frontend + backend technologies.

A narrative report (PDF / deck) that tells a clear data story.

One before vs. after a dataset you transformed into a clear visual.