Job Vacancies at Development Alternatives Incorporated (DAI)

Reference No.: 6039
Project Reference: EuropeAid / 140588 / IH / SER / NG
Estimated Start Date: January 2022
Duration: 18 months
Project Name: Technical Assistance to Strengthen Capacity for Implementation of National Economic Policies and the EU Development Initiatives including Documentation of the EU Projects in Nigeria

Short Description
The purpose of the required services is to strengthen the capacity of the Ministry of Finance, Budget and National Planning (MFBNP) for the implementation of key national economic policies and initiatives including documentation and visibility of EU Projects in Nigeria. The aim of the service is to provide technical assistance to the Focal Departments of the MFBNP in the aspects of:

• Economic policy planning, budgeting, project implementation, monitoring & evaluation among other activities required for the delivery of key national development initiatives of the Federal Government of Nigeria; and
• Inspection, documentation and showcasing of works/community projects executed through the EDF for the purpose of ensuring their sustainability by raising stakeholders’ awareness on their responsibilities; as well as,
• Organization of capacity building programmes in the fields of development planning, including innovative modalities and emerging trends in development cooperation and the framework of the EDF.

Qualifications and Skills

• Master's Degree in at least one of the following disciplines: Economics, Public Finance, Public Administration, Law, International Relations, Political Science, Public Relations or Business Administration. In the absence of a Master’s degree, a Bachelor’s degree in at least one of the disciplines above and a total of 2 years in addition to the required General professional experience
• Excellent writing and oral presentation skills in English

General professional experience:

• Preferably 10 years of professional experience in project management relevant to the assignment. A minimum of 5 years if required;

Specific professional experience:

• At least 7 years of experience in macroeconomic planning, or development planning or budgeting;
• At least 5 years of experience in capacity building to the public sector entities in the field of national economic planning, finance and development, including supporting governments to craft and implement inclusive, evidence-based policies and initiatives in macro, fiscal and industry economics, trade and trade relations, private sector development, investment policy, tax policy regulation and fiscal decentralization;
• At least one long-term experience (of the duration of at least 2 years) in a management position managing EU funded projects, preferably project(s) funded by the EDF;
• Work experience in Sub-Saharan countries is required, experience in Nigeria would be an asset;
• Practical knowledge of EDF Procedures would be an asset.

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Job Code: 6045
Job Title/Grade: Data Analyst Associate I/II (5/6)
Reports to: Director, Global Strategic Marketing
Department: Global Strategic Marketing

Function of the Position

• This is a full-time, professional position which will be working under the direction of DAI’s Director of Global Strategic Marketing.
• The Data Analyst Associate will support specific corporate efforts to improve data collection, management, and analysis of both external and internal DAI data. The majority of assignments will involve some combination of:
  • Identifying and testing various data sources
  • Creating a system to regularly capture data
  • Advising on best approaches to answer specific research questions using available data, including building analytical models
  • Advising on best channels to display and distribute analysis across global corporation
• For illustration, the first assignment could be establishing new models for ingesting, cleaning, and analyzing market trend data in support of strategic planning and execution. 
• This would involve comparing data sources for quality of information and ease of access; working closely with a data architect to extract, transform, and load the data, and building models and visualizations to make analysis user-friendly for a wide range of corporate employees.

Roles and Responsibilities

• Scan new and existing data sources to determine relevance, reliability, and timeliness of information; recommend which sources are most relevant and reliable and easiest to harvest.
• Assist in the creation of scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation
• Build automated systems to import data from selected sources and models to automate analysis
• Build-in checks that provide rigorous validation of the analysis to improve accuracy and reliability of gathered information
• Ensure the entire development lifecycle of all IT projects undertaken are documented, including the protocol, testing, methodology and processes developed
• Develop template and resources of Business Intelligence (BI) dashboards for corporate use.

Qualifications
Minimum Qualifications:

• Grade 5: 2 years of professional work experience and a Bachelor's Degree or a Master's Degree.
• Grade 6: 3 years of professional work experience and Bachelor's degree or 1 year and a Masters degree.
• Experience connecting to and using a variety of external (3rd Party) data sets
• Programming experience; ability to develop custom data scraping scripts using Python, R, or Java.
• Experience building extract, transform, and load (ETL) tools ideally for large organizations.
• Excellent communication skills (written and oral)
• Creative and curious attitude
• Strong critical thinking capabilities with an ability to rapidly assess situational needs, develop problem-solving strategies, and implement sustainable solutions.
• Ability to meet deadlines and take initiative
• Must be able to work effectively in teams, including taking directions from others, being open to regular check-ins to show work progress, and contributing ideas and recommendations to enhance productivity
• Equivalent combination of education and experience will be considered.

Preferred Qualifications:

• Experience with Microsoft data technology (Azure). Prior experience with SQL language.
• Experience with packages such as NumPy, Pandas, Beautiful Soup, or RVest.
• Interest in training and teaching data skills to a global workforce
• Knowledge of database architecture and ability to maintain a large volume of data over time.