ICT Analyst

Global Roles

United States

Remote

USD 80,000 - 110,000

Full time

3 days ago

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Benefits offered by this job

Remote-friendly flexibility

Professional development

Job summary

Global Roles is seeking an ICT Analyst to support the Data, Digital and Innovation team in developing, maintaining and improving digital products, data services and analytical tools. You translate business requirements into working solutions and provide data preparation, visualization, testing and user support under guidance.

The role emphasizes collaboration with senior technical colleagues, workflow automation, and compliant data practices in a fast-paced environment.

Qualifications

Advanced degree in IT, IS, data science or analytics or equivalent field.
Experience with low-code or data analytics platforms and data preparation.
Experience validating structured data and building dashboards.

Responsibilities

Configure and enhance forms, apps and workflows using low-code platforms and coded components.
Collect, clean and organize data for reporting and ETL processes.
Produce dashboards and interactive visualizations for decision makers.
Contribute to AI-ready data structures and API-led data exchange alignment.
Document user needs and map processes for automation opportunities.
Define acceptance criteria, test cases and validate data outputs.
Support agile ceremonies and collaborative remote/team work.

Skills

Data Analysis

Power BI

Power Apps

Power Automate

Tableau

Qlik

Data Preparation

Data Validation

Dashboard Creation

Power Query

Data Modelling

SQL

Python

Git

Requirements Gathering

Business Process Mapping

Solution Documentation

Agile Methodologies

API Familiarity

Relational Databases

Cloud Services

Data Integration

AI Tools Usage

Geospatial Analysis

Mapping Tools

Education

Master's degree or equivalent

Bachelor's degree + 2 years experience

High school diploma + 6 years experience

Job description

The ICT Analyst supports the Data, Digital and Innovation team in developing, maintaining and improving digital products, data services and analytical tools including low-code and coded solutions, workflow automation, data analytics, geospatial analysis, and applied AI prototypes. The role involves translating business requirements into working solutions, data preparation, visualization, testing, documentation, and user support under guidance of senior technical colleagues.

Responsibilities

Configure, develop and enhance forms, applications, analytical tools and workflow automations using approved low-code platforms and, where appropriate, coded components applying reusable development patterns, version control and agreed technical standards.
Collect, clean, transform, reconcile, validate and organize structured data for reporting, analysis and operational use supporting repeatable ETL processes, data pipelines, data models, taxonomies, metadata and data-quality controls.
Produce clear analyses, dashboards, reports and interactive visualizations that respond to agreed business and decision-making needs, including rapid and ad hoc analytical requests.
Contribute to UNINFO data analysis, reporting, quality assurance and the development of AI-ready data structures supporting API-led data exchange and integration between UNINFO and other authorized enterprise data sources under agreed security, governance and architectural standards.
Support consultations with business focal points, document user needs and map existing processes to identify opportunities for simplification or automation.
Define or support acceptance criteria; prepare and execute test cases; validate data, integrations and outputs; document defects; and contribute to automated testing, code or configuration review, and responsible-AI quality checks.
Investigate application, automation and data-quality issues; resolve routine technical problems related to solutions maintained by the team; and elevate complex incidents or service-desk matters to senior team members.
Maintain user guides, data definitions, process notes and technical documentation, and support demonstrations or training sessions.
Participate in sprint planning, stand-ups, reviews, code or configuration reviews and other agile team activities.
Support the design, prototyping, testing and improvement of AI-enabled analytical tools, retrieval-augmented generation solutions, intelligent assistants and agentic or automated workflows contributing to prompt design or testing, source grounding, output evaluation, quality assurance and responsible-AI controls under guidance of senior technical colleagues.
Support structured analysis of authorized open-source and organizational information including source assessment, classification, pattern identification and verification in accordance with applicable information-security, data-protection and ethical requirements in support of corporate reporting needs.
Keep skills current in low-code development, data analytics, accessibility, data protection and responsible use of AI applying this learning progressively under appropriate technical guidance.

Requirements

An advanced university degree (Master's degree or equivalent), preferably in information technology, information systems, information management, data science, business analytics or a related field is required; or
A first-level university degree (Bachelor's degree or equivalent), preferably in information technology, information systems, information management, data science, business analytics or a related field with two (2) years of relevant experience is required; or
A high school diploma with six (6) years of relevant experience is required.
Relevant experience is defined as experience in data analysis, reporting, business process automation, or digital solutions development and maintenance.
Experience using at least one low-code or data analytics platform, such as Microsoft Power BI, Power Apps, Power Automate, Tableau, Qlik, or a comparable tool, is required.
Experience preparing, cleaning, validating, and analyzing structured data is required.
Experience creating dashboards and reports using Power BI, including Power Query and basic data modelling, is desirable.
Experience developing forms, applications or workflow automations using Power Apps, Power Automate, SharePoint, Dataverse or comparable platforms is an asset.
Working knowledge of SQL for querying and validating data is desirable.
Basic experience with Python for data preparation, analysis or automation is desirable.
Familiarity with version control, preferably Git, is an asset.
Experience gathering user requirements, mapping business processes and documenting solutions is desirable.
Experience testing digital products, documenting defects and supporting users is an asset.
Experience working in an agile team or using task and issue-tracking tools is desirable.
Experience working independently and collaboratively with remote, geographically diverse teams is desirable.
Familiarity with APIs, relational databases, cloud services or data integration concepts is an asset; advanced development or infrastructure administration is not required.
Exposure to AI-assisted tools, simple AI-enabled applications or the evaluation of AI-generated outputs is an asset.
Exposure to geospatial data, vector data or mapping tools is an asset.
Some experience working with the public or not-for-profit sector would be an asset.