Senior Data Quality Analyst

Category:
Economics, Information Technology, Research and Development
Location:
Addis Ababa, Addis Ababa 
Career Level:
Senior Level (5+ years experience)
Employment Type:
Full time
Salary:
ATTRACTIVE

Job Description

About FRONTERi

Since its establishment 2008, Frontieri Consult PLC is involved in conducting research and survey management services in a number of disciplines to Government, Non-Governmental Organizations, Bilateral and Multilateral Institutions. We have developed proven track records in effectively delivering assignments on various sectors. Our dynamic team consist of over 80 Qualitative Field Researchers, over 100 Supervisors over 50 field coordinators with over 25 head office support stuff. Join our team of professionals and be part of our energetic team that is committed in bringing change by providing adequate research findings and advisory service for policy makers and contribute in the development of Ethiopia.

Job Description:  

The Senior Data Quality Analyst is responsible for developing specifications for data capture and input; monitoring input to ensure consistency, quality, and integrity of data. S/he is also responsible to create and enforce policies for effective data management and quality control mechanism. The Senior Data Quality Analyst report s to Survey Management and Data Analytics Division Director.  

Duties and Responsibilities:

§  Develop mobile data collection application and formulate techniques for quality data collection to ensure adequacy, accuracy and legitimacy of data;

§  Cross checking the digitized tools in the program and give approval before the team deployment

§  Develop data cleaning methods and document the data cleaning processes;

§  Devise and implement efficient and secure procedures for data handling and analysis with attention to all technical aspects;

§  Establish rules and procedures for data sharing with upper management, external stakeholders etc.

§  Compute the survey weights/design weights including selection of different probability in different sample stages.

§  Develop survey training manuals and provide the training to the field staffs.

§  Create the do file for different projects as data quality assurance mechanism and use High Frequency data quality checking mechanism at the field level and office level.

§  Support others in the daily use of data systems and ensure adherence to legal and company standards;

§  Assist with reports and data extraction when needed;

§  Monitor and analyze information and data systems and evaluate their performance to discover ways of enhancing them (new technologies, upgrades etc.);

§   Ensure digital databases and archives are protected from security breaches and data losses;

§  Adopt organizational core values, policies and procedures are clearly understood and adhered to in the daily functioning;

§  Lead the documentation and dissemination activities of lessons learned;

§  Represent the organization in workshops and meetings;        

§  shoot data-related problems and authorize maintenance or modifications;

§  Handles other tasks as requested by the division director.

Job Requirements

Minimum requirements:

§  BSc, and MSc.  in computer science, IT, statistics, demography or relevant field;

§  A minimum of 7 years for BSc, 5 years for MSc. 

§  Proven experience as data manager or Programmer in large scale surveys;

§  Proficient in at least one of the following mobile data collection applications (Survey Solutions, SurveyCTO, ODK, or CSPro);

§   Proficient in SPSS and STATA statistical packages etc. Knowledge of other statistical packages is a plus. 

How to Apply

Application instruction:  

o   Interested applicants that fulfill the requirements shall submit only their        application/motivation letter along with their updated CV via email [email protected] by clearly marking the position title on the subject line "Senior Data Quality Analyst"

o   Only shortlisted candidates will be contacted for further recruitment process.

o   Please follow application instructions, applicants that fail to do so will be rejected.

   Qualified female applicants are highly encouraged to apply

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