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Data Visualization & Dashboard Analyst

Morsby, Gorman, McCarthy LLC
Email

Data Visualization & Dashboard Analyst – Infrastructure & Development (Kenya Focus)

(Internship / Analyst Training Program)

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Location: Remote

Work Format: Deliverable-based, structured learning environment Position Type: Internship / Analyst Training Program

Classification: Part-Time / Temporary / Seasonal (Educational Program)

Program Duration: 8–12 weeks (aligned with academic schedules) Start Date: June 1, 2026

End Date: August 31, 2026

Time Commitment: ~5–15 hours/week (target ~10 hours/week)

The internship has a defined start and end date and is not intended to extend indefinitely beyond the stated program duration. The program is designed to align with academic calendars, including accommodations for exams, coursework priorities, and academic obligations.

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## Program Overview

Morsby, Gorman, McCarthy LLC offers a structured Data Visualization & Dashboard Analyst Training Program designed to provide applied, educational exposure to data visualization, analytical reporting, and dashboard development within a supervised and mentorship-driven environment.

This program forms part of a Kenya-focused infrastructure initiative within a broader global development framework. It is designed to support the transformation of structured datasets into clear, visual formats that enhance analysis, reporting, and stakeholder understanding.

Participants will engage in guided activities that simulate how data is translated into charts, dashboards, and visual summaries used in professional reports, policy documents, and decision-support environments.

This program is not intended to replace paid employment or serve as a source of operational labor. All participation is structured to prioritize learning outcomes, skill development, and academic alignment.

Activities within this program are structured to provide training and educational value comparable to academic or classroom-based learning. Tasks are designed to simulate professional data visualization workflows in a guided and supervised environment.

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## Educational Intent & Program Framework

This program is designed in alignment with widely recognized educational internship principles, including the U.S. Department of Labor’s “primary beneficiary” framework.

  • The primary beneficiary of this program is the participant
  • The experience provides training comparable to academic coursework or applied learning environments
  • Interns do not replace or displace employees, contractors, or paid analysts
  • The organization derives no immediate commercial advantage from intern contributions
  • The organization’s operations are not dependent on the immediate output of interns, and all work is structured within a learning-first framework
  • All activities are supervised, guided, and structured for learning
  • Interns do not independently publish or distribute official analytical outputs without oversight
  • Interns are not responsible for producing materials used for real-time operational decision-making
  • Outputs are used for training, internal development, and educational purposes—not immediate commercial or operational outcomes

Participation is voluntary and intended to support academic and professional development.

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## Role Overview

The Data Visualization & Dashboard Analyst Intern supports infrastructure development initiatives by transforming structured data into clear, professional visual formats such as charts, graphs, dashboards, and analytical summaries.

Participants will contribute to the presentation of data insights related to infrastructure systems, funding models, and development strategies, helping to improve clarity and accessibility of complex information.

The role emphasizes analytical reasoning, visual clarity, and effective communication. It complements GIS (map-based visualization) by focusing on non-spatial data representation, including trends, comparisons, and performance indicators.

Participants are not responsible for producing real-time operational dashboards or decision-critical analytics. All work remains conceptual, illustrative, and educational in nature.

All contributions occur within a supervised, non-executive, educational context and are structured to simulate professional data visualization and reporting workflows.

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## Core Purpose of the Role

The purpose of this role is to support infrastructure analysis and communication through visual data representation by:

  • Translating structured datasets into charts and graphical formats
  • Supporting the development of dashboards and visual summaries
  • Enhancing clarity and usability of reports through visualization
  • Assisting in communicating trends, patterns, and insights
  • Supporting integration of visual elements into written deliverables

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## Core Learning Objectives Participants will develop exposure to:

  • Data visualization principles and best practices
  • Dashboard design and structured analytical reporting
  • Interpretation of structured datasets
  • Visual communication of complex information
  • Integration of data visuals into professional outputs

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## Key Responsibilities (Structured Learning Activities) Participants may engage in guided activities such as:

  • Creating charts, graphs, and visual summaries from structured datasets
  • Assisting in the development of dashboard-style outputs
  • Supporting integration of visual outputs into reports, white papers, and presentations
  • Translating data into clear and structured visual narratives
  • Organizing and standardizing visual outputs
  • Collaborating with data, research, GIS, and writing teams to support deliverables All activities are:
  • Clearly defined
  • Supervised
  • Educational in nature
  • Non-operational and non-commercial
  • Structured to simulate professional data visualization workflows within a training environment

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## Example Learning Applications Participants may work on exercises such as:

  • Creating charts illustrating infrastructure funding gaps, sector performance, or development trends
  • Building dashboard-style summaries of project data
  • Visualizing comparative data across infrastructure sectors (e.g., energy, transport, water)
  • Supporting graphical elements in white papers, reports, and presentations
  • Translating datasets into executive-friendly visual formats

All exercises are conceptual or illustrative in nature and are not used for direct operational decision-making.

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## Expected Deliverables (Educational Outputs)

Participants may produce:

  • Charts and graphical data visualizations
  • Dashboard-style summaries and analytical visuals
  • Data-driven visual reports
  • Visual inserts for white papers and presentations
  • Organized visual datasets and outputs Deliverables are:
  • Scoped based on participant experience level
  • Reviewed with structured feedback
  • Evaluated for educational development rather than productivity
  • Not used as a substitute for the work of paid analysts or technical staff
  • Used exclusively for internal training and educational purposes

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## Program Structure (Illustrative)

  • Weeks 1–2: Onboarding, visualization principles, and introductory exercises
  • Weeks 3–6: Guided chart creation, dashboard development, and analysis
  • Weeks 7–10: Integration into broader outputs and refinement
  • Weeks 11–12: Final deliverables and feedback

The program is designed to follow a structured learning progression, with increasing complexity of assignments as participants develop skills and familiarity.

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## Tools & Platforms (Exposure) Participants may gain exposure to:

  • Microsoft Excel (including modeling and visualization features)
  • Data visualization tools (e.g., Tableau, Power BI, or similar platforms)
  • Google Sheets and reporting tools
  • Basic data analysis and reporting workflows No prior mastery of specific tools is required.

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## Skills & Competencies Developed Visualization

  • Data storytelling
  • Chart and dashboard creation

Analytical

  • Data interpretation
  • Pattern recognition
  • Structured analysis

Technical

  • Spreadsheet tools
  • Visualization platforms

Communication

  • Presenting complex data clearly
  • Supporting professional reporting

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## Qualifications

Candidates should demonstrate:

  • Strong analytical and problem-solving ability
  • Interest in data, analytics, or visualization
  • Attention to detail
  • Ability to work independently within structured guidelines No prior professional experience required.

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## Preferred Academic Backgrounds

  • Data Science
  • Statistics
  • Economics
  • Business Analytics
  • Computer Science
  • Mathematics

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## Who This Role Is Best For

  • Students interested in data analysis and visualization
  • Individuals who enjoy working with structured data
  • Candidates interested in presenting data clearly and effectively
  • Individuals seeking experience in analytical reporting and dashboards

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## Supervision & Training Structure Participants will receive:

  • Defined assignments and timelines
  • Ongoing supervision and mentorship
  • Feedback on all deliverables
  • Guidance on tools, visualization techniques, and analytical concepts

The supervisory structure is designed to provide mentorship and guidance comparable to an academic or applied learning environment.

Participants will not engage in:

  • External reporting
  • Independent publication
  • Operational analytics or real-time decision support

Where appropriate, tasks may be structured as guided or simulated exercises designed to reinforce learning outcomes.

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## Feedback & Evaluation Participants will receive feedback on:

  • Clarity and effectiveness of visual outputs
  • Accuracy and interpretation of data
  • Organization and presentation quality
  • Ability to translate data into insights

Evaluation is conducted for educational and developmental purposes rather than employment performance or productivity metrics.

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## Academic Integration & Credit

  • May be eligible for academic credit (subject to institution)
  • Documentation and supervision confirmation available
  • Tasks may align with coursework, research, or independent study

The program is structured to support integration with academic objectives and applied learning requirements.

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## Program Understanding

Both the organization and the participant understand that this internship is designed as an educational experience. Participation is voluntary and intended to support academic and professional development rather than to provide immediate economic benefit to the organization.

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## Compensation

This is an unpaid internship structured as an educational training program.

  • No wages are provided
  • No expectation of compensation
  • No guarantee of employment

The organization’s operations do not rely on intern output, and participation does not provide immediate economic benefit to the organization.

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## Professional Expectations Participants are expected to:

  • Meet deadlines
  • Maintain organized work
  • Communicate professionally
  • Follow structured workflows
  • Engage actively in learning

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## Growth Opportunities

High-performing participants may be considered for extended involvement, advanced assignments, or continued participation in project initiatives.

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## Application Instructions Apply via Handshake and submit:

- Resume

  • Handshake profile
  • A brief 3–5 sentence statement outlining your interest

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## Summary Statement

This program is a structured, education-first training experience designed to provide practical exposure to data visualization and analytical reporting. It emphasizes supervised learning, professional skill development, and academic alignment while maintaining clear separation from operational or revenue-generating activities.