Data Cleansing Consultant

Data Cleansing Consultant

Overview

The Ministry of Food, Agriculture and Light Industry (MOFALI) requested assistance from ADB project TA-10099 towards the establishment of an Integrated Food Security Information and Response System (IFSIRS) to gather, analyze, and disseminate data and information on the food security situation in Mongolia, and to enable government and partner institutions better to manage food insecurity risks at all levels of Government.

Critical functions of the IFSIRS System are the following:

  • Establishing a food supply monitoring and analysis component
  • Establishing a price monitoring and analysis component
  • Establish a reference database for food safety information
  • Establish an investment monitoring and reporting component
  • Building an early warning component; and
  • Building an online information portal through which critical messages on the current and anticipated future food supply, demand, and food price situation are presented

Once fully operational, the proposed IFSIRS should (i) gather data and information on identified commodities from key sources, including from government agencies, the private sector, NGOs, and relevant international agencies; and (ii) produce data, information, reports, and forecasts of the food security situation for decision-making by the government agencies, the general public, and other stakeholders to manage food insecurity risks better. Currently, MOFALI, as the developer of IFSIRS, faces challenges in accessing, analyzing, managing, and reporting information for food security planning, policy formulation, and implementation of appropriate measures at all levels of government. This is mainly due to insufficient access to relevant information, weak data reliability, and limited analytical and reporting capacity at MOFALI.

The planned architecture of the IFSIRS will contain a database with time series data for an improved understanding of historical and current food price movements, in addition to parameters reflecting the supply and demand of key commodities that are central to understanding the food security and food safety situation in Mongolia. The database will be accessed through an internet portal and a dashboard providing relevant statistics for key commodities.

Due to IFSIRS combining multiple data sources, there are many cases for data to be duplicated, mislabeled, corrupted, incorrectly formatted, duplicated, or incomplete data within a dataset. Furthermore, because IFSIRS gathers data from different data providers with different areas of activity, the standards they use can be different and require data transformation from one structure to another.

For the successful implementation of the IFSIRS, it is crucial to implement templates for the data cleaning and transformation process that the system should use when gathering information from data providers.

No. of Vacancies
3
Specific Skills
Technical Skills and Expertise
  • Bachelor or higher Degree in the IT field;
  • At least three (3) years of previous experience in Data Sourcing and Data Cleansing
  • Experience in using databases with a high degree of accuracy and attention to detail;
  • Strong awareness of data privacy and confidentiality;
  • Skilled with several of the following: Excel & Salesforce;
  • Knowledge of visual analytics platforms, particularly concerning datasets and the development of dashboards, reports, and forecasts.
  • Must possess excellent interpersonal skills and the ability to work in a group setting and a multicultural team environment, which is required to deal effectively with staff at all levels.
  • Must work independently, advise others, and work in a team;
Responsible For
The consultant will perform tasks under the direct supervision of the ADB TA-10099 Team Leader and in close cooperation with other TA Team members, including the IT Systems Development Specialist, the Institutional Coordination and Capacity Building Specialist, and the International Food Security Information Specialist, with close cooperation with other consultants involved in the implementation of this project. The consultant will consult frequently with the TA Team on progress achieved and bottlenecks encountered. The consultant, during the implementation of the assignment, should: 1) Liaise with relevant stakeholders, officials, and team members to understand users' needs and identify corresponding user requirements and dataset functionalities; 2) Based on user requirements, proactively look for opportunities to fulfill them and suggest them to the ADB TA-10099 Team; 3) Maintain an inventory of deliverables and always deliver all source elements to allow the ADB TA-10099 Team to maintain them; 4) Verify that the dataset shows accurate information and is consistent across the dataset. The consultant will perform tasks under the supervision of the TA Team leader, including, but not limited to, the following in close cooperation with other TA Team members : 1) Study and identify all data providers' data that should be gathered from data providers for the stable operation of IFSIRS; 2) Implement templates that can be used for data cleansing during information gathering from data providers; 3) Implement templates for information transformation during information gathering from data providers; 4) Document all findings for the creation of the dataset and make recommendations for the implementation of automatic data cleansing and transformation processes. Deliverables: 1) Initial Report (within 14 days following contract signature); 2) Final Report in English (within 14 days after contract expiration).
Additional Requirements
If you are interested in applying for Data Cleansing Consultant, please submit your application to info@monconsult.com by September 11, 2024. Only short-listed candidates will be contacted for a job interview. Duration: Forty-five (45) working days.
Job Nature
Full Time
Educational Requirements

  • Bachelor or higher Degree in the IT field;

Experience Requirements
3
Job Level
Sr. Position

Apply for this position

*
*
* Attach your resume. Max size 2mb Allowed Type(s): .pdf