Qualitative and Quantitative Data Analyst Required!
AAN Associates
Islamabad, Pakistan
5d ago
source : ReliefWeb

Introduction to Organization

Established in 2007, AAN Associates is a Social Enterprise’ established to enable development partners in finding simple, innovative, cost-efficient, and sustainable solutions to developmental challenges.

AAN Associates brings extensive research and evaluation experience in varied contexts i.e., development to humanitarian (including complex emergencies) crises.

AAN has undertaken more than 100 consulting projects in over 20 countries (East Asia and Pacific, South & West Asia, Middle East, East and South Africa, and West Africa), with bi / multilateral funding agencies, United Nations, public sector, and non-profit entities.

AAN is a growing organization with a distinctive track of producing award winning research and evaluations. These awards and distinctions have come to complement AAN’s recognition as practice lead in social research’ and evaluations.

AAN is pursuing an aggressive growth strategy underpinned by excellence in service, improvising innovation, and technology, strengthening partnerships and resources, forging institutional systems and diversity.

Main Purpose of the Job

The Data Analyst will be responsible for supporting AAN’s Programs Management Unit (PMU) with the aggregation, reporting, and analysis of the projects’ datasets.

This position requires a combination of analytical and interpersonal skills, as the ideal candidate will have the ability to both perform rigorous analyses and deliver these results to a non-technical audience.

The selected candidate may also play a role in supporting our Report Writers.

Key Tasks and Responsibilities

  • Ability to use as many of the following tools as possible for Qualitative and Quantitative Analysis STATA, SPSS, R, ECONO, NVivo, MaxQDA and others ;
  • Possess an understanding of sampling approaches (such as Simple random, Systematic, Stratified, Clustered, Convenience, Quota, Judgement (or Purposive), Snowball sampling);
  • Support Project delivery teams in Tools Development;
  • Support Project delivery teams in the development of Research Design, Data Collection Tools and Data Analysis;
  • Understanding of tabulation plans, and relevant data entry modules / sheets including guidelines for field application (including overseeing the pre-testing and finalization);
  • Ability to develop and deliver training of field teams on data collection, editing, cleaning, entry and processing, including guidance on ethical and quality assurance;
  • Able to contribute to and manage data collection exercises through real time data collection applications / devices e.g.

  • android or device-based data collection and perform real time quality checks to ensure compliance and quality;
  • Oversee and lead the data management / database management for the data collected in field missions;
  • Oversee / lead quantitative and quantitative data analysis and interpretation (including data triangulation) using specialized software’s for data analysis e.

  • g., STATA, SPSS, R, ECONO, Business Intelligence (BI), NVivo etc.;
  • Extend support to the relevant project teams in data analysis, interpretation and reporting and addressing clients’ feedback on data analysis and interpretation (during report finalization);
  • Essential Requirements

  • At least sixteen (16) years of education, preferably a degree in Social Sciences from a reputable / recognized university
  • Over five (5) years of experience using statistical software, working with complex datasets, in a professional or institutional setting
  • Possess an in-depth understanding of sampling approaches (such as Simple Random, Systematic, Stratified, Clustered, Convenience, Quota, Judgement or Purposive, and Snowball sampling)
  • Must be able to perform under pressure in a fast-paced environment
  • Experience working in teams and collaborating on projects.
  • Ability to multi-task and meet deadlines
  • Excellent problem-solving, interpersonal, written and verbal communication skills required
  • Should be extremely detail-oriented, self-motivated, highly-organized, resourceful, and reliable.
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