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Officer- Data Analytics & Visualization

Officer- Data Analytics & Visualization

Organization: Evidence Action

Apply By: 21 Sep 2025

Location: New Delhi(Delhi)

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About the Organization

At Evidence Action, we deliver data-driven interventions that transform lives at an unprecedented scale. We identify neglected global health issues and deploy proven solutions, forging healthier futures for generations.

Our model operationalizes leading academic research (including from Nobel-winning economists). We measure progress and outcomes at every stage to ensure we’re making a real impact for people living in poverty and suffering from preventable or treatable health issues. Operating across 9 countries, our team of 800+ has reached over 500 million people, working closely with governments to scale these interventions.

Job Description

The Officer– Data Analytics & Visualization will play a central role in strengthening program decision-making by managing dashboards, ensuring high-quality data systems, and generating actionable insights. The role requires a balance of technical expertise in data management and visualization, combined with strong collaboration skills to engage with program and state teams.

Job Responsibilities

Dashboard Ownership & Management

  • Build, update, and maintain program dashboards (field operations, installation, community engagement, etc.) in coordination with state teams.
  • Ensure dashboards remain user-friendly, accurate, and aligned with program requirements.

Data Systems & Tools

  • Manage program data pipelines (Google Sheets, Excel trackers, and other databases), ensuring accuracy, consistency, and usability across levels.
  • Develop and maintain structured templates for efficient reporting and data flow.

Data Cleaning & Validation

  • Conduct regular checks on incoming data to identify and correct errors, duplicates, or gaps.
  • Standardize and prepare data for integration into dashboards and reports.

Program Analytics

  • Analyze program data to identify trends, exceptions, and correlations.
  • Generate insights to support decision-making at central and state levels.

Collaboration and Feedback Integration

  • Engage with program and cross-functional teams to gather feedback on dashboard design and utility.
  • Ensure visualizations and outputs are responsive to stakeholder needs and aligned with program/organizational guidelines.

Reporting Support

  • Prepare weekly/monthly MIS reports for internal reviews and external sharing with government partners, donors, and other stakeholders.
  • Assist senior leadership with ad-hoc data visualizations and analysis requests.

Field Coordination & Capacity Building

  • Provide guidance and templates to state teams/field officers to improve data quality and reduce reporting errors.
  • Conduct training sessions for field teams on data entry best practices and dashboard use.

Coordination with MLE

  • Collaborate with the MLE team on technical/data architecture aspects.
  • Ensure smooth handover of data requirements and avoid duplication of efforts.

Education Qualification/Required Skills & Experience

Essential

  • Bachelor’s degree in Engineering, Statistics, Economics, Data Science, or related field (Master’s preferred)
  • 2–5 years of experience in data management, analytics, or visualization, preferably in development sector / WASH / social impact programs
  • Proficiency in Google Sheets, Excel, and dashboarding tools (e.g., Google Data Studio/Looker Studio, Power BI, Tableau)
  • Strong analytical and problem-solving skills with attention to detail
  • Experience working with diverse teams and field-level data
  • Strong communication and presentation skills, with ability to simplify technical insights for non-technical stakeholders

Desirable

  • Ability to manage multiple priorities and deliver high-quality outputs under tight timelines
  • Proactive in engaging with teams, sourcing feedback, and improving processes
  • Interest in public health, WASH, or development sector data systems
How to apply

For more information please check the Link

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