Support Data Analysis and Visualization of MIMU Platform Data

Volunteering

Overview

Support data analysis and visualization of MIMU platform data for insights.

You have:

• Advanced proficiency in Microsoft Power BI, including DAX and Power Query.
• Solid SQL and ETL/data-warehousing experience.
• Strong analytical and writing skills.
• Experience producing training or explainer content.
• Degree in data analytics, statistics, information management, engineering, or a related field.

Contract

This is a UNV contract. More about UNV contracts.

The Myanmar Information Management Unit (MIMU) was established in late 2007 as a service to humanitarian and development agencies in Myanmar. MIMU is a part of the United Nations in Myanmar and hosted by United Nations Development Programme (UNDP) to support the information management needs and decision-making of humanitarian, development, and peace-focused actors across Myanmar. As such, MIMU receives strategic guidance from a Stakeholder Board comprising UN, INGO, NNGO and donor representatives.

MIMU’s role is to safeguard the common data and information repository for development and humanitarian actors in the Myanmar context through gathering and compiling data from various sources on all sectors countrywide, at the lowest administrative unit for which it is available and making this information accessible to the wider group of stakeholders. MIMU plays a key role in promoting standards related to data, geo-referencing and information management among UN agencies and NGOs, including defining principles around how data will be stored, working with technical working groups to bring together available information from various sources and promoting use of the standards set by these technical groups, and supporting wider development monitoring processes.

In this context, the online volunteer’s contributions will help MIMU surface labour-market and development trends, improve the usability of its data products, and build internal data-visualisation capacity. This will ultimately strengthen data collection and analysis mechanisms that provide disaggregated data to monitor progress towards the SDGs and enhance policy coherence for sustainable development, in line with SDG 17 (OI 17.3).

The Myanmar Information Management Unit (MIMU) is recruiting one (1) experienced Online Volunteer who, working closely with the MIMU Data Manager, will support in the analysis and visualisation of MIMU’s platform usage and collected data, while supporting the review of data visualisation products and capacity building on developing them.

The Online Volunteer will:

• Conduct an analysis of MIMU’s accumulated vacancy-platform data: consolidating several years of postings, defining the research questions, and surfacing trends and insights that have not previously been drawn from the data;
• Define the method, indicators, and tabulation plan for the analysis, and identify relevant trends, patterns, and key findings;
• Design and build dashboards and reports, according to an agreed reporting plan, including visualisation and narrative interpretation of findings in Power BI, with strong attention to discoverability and user experience;
• Drawing on the analysis work above, create fresh short- or long-form Power BI learning content (e.g. DAX, Power Query) to strengthen the team's capacity;
• Provide a constructive design and UI/UX review of existing MIMU dashboards, offering recommendations from an experienced data-visualisation practitioner’s perspective.

The Online Volunteer will be provided with datasets to conduct the analysis and is required to update on the progress during regular calls. No products or data will be published by the Volunteer unless previously approved by the supervisor. The Volunteer will not be granted access to sensitive or restricted data.

• Ideal candidate would be an experienced data analyst with advanced, demonstrable proficiency in Microsoft Power BI (including DAX, Power Query, and data modelling) and a portfolio of delivered dashboards and reports.
• Solid SQL and hands-on ETL / data-warehousing experience is required to work with multi-year datasets.
• Strong analytical and writing skills, and the ability to present data clearly with sound UI/UX judgement, are essential.
• Experience producing training or explainer content, and relevant Microsoft certifications (e.g. Power BI Data Analyst, Fabric Analytics/Data Engineer) or equivalent, are considered a strong advantage.
• A degree in data analytics, statistics, information management, engineering, or a related field is considered an asset.

Apply now

Potential interview questions

Added 18 days ago - Updated 4 days ago - Source: unv.org