The position was approved under the capacity building initiative (CBI), a recruitment and conversion programme geared to bringing on board mid-career level professionals in functional areas in which the Organization lacks international staff capacity to meet its operational requirements.

With the introduction of Results Based Management and the introduction of Focus and other data collection tools, UNHCR has established a vast set of data collected by field operations. While the majority of the data has become more accessible to staff because of the introduction of the Business Intelligence tool, a significant part of the data can as not be aligned to the RBM or operational structures or is of inferior quality and can hence not be used for analysis. DPSM requires professional support to review its data collection tools and datasets in order to facilitate the full use of its data for RBM purposes.

The incumbent should be dynamic and client-oriented with the ability to effectively interpret and analyse the data needs of the organisation, analyse the current data collection systems and data sets and evaluate their compatibility or lack thereof. The person should have an in-depth knowledge of the use of operational datasets and be able to inform the organisation of gaps in the existing data management and data validation processes and guide elaboration of possible improvements. The candidate will mainly interact with colleagues in HQ but will provide support to field operations if required. This position requires strong communication and analytical skills, proven training competencies, and consolidated knowledge of data management and RBM concepts.

Accountability:

· Improvement in the quality of data available for results analysis and impact measurement.

· Support the organisation in improving the collection, validation and use of data.

· Support the organisation in identifying its data requirements and assist in identifying the most opportune collection methodologies.

· Support the organisation in identifying gaps in data or conflicts in data collection/management.

Responsibility:

· Facilitate and directly undertake comprehensive analysis of the performance of UNHCR field operations, using UNHCR's corporate tools (e.g. Focus Client, Global Focus, Focus Reader), in close consultation with Bureaux and concerned Divisions and during the key moments of the programme management cycle e.g. Annual Programme Review (APR).

· Test and verify processes and systems to understand the cause of data issues. Statistically analyze data and interpret findings to identify opportunities for database and product improvements.

· Identify, compare, and resolve data quality problems.

· Evaluate large dataset for quality and accuracy.

· Determine business impact level for data quality issues.

· Work with colleagues to correct data quality errors.

· Determine root cause for data quality errors and make recommendations for long-term solutions.

· Research and determine scope and complexity of issue so as to identify steps to fix issue.

· Develop process improvements to enhance overall data quality.

· Develop and execute data clean-up measures.

· Ensure adherence to data quality standards.

· Identify areas of improvement to achieve data quality.

· Analyze, query and manipulate data according to defined business rules and procedures.

Authority:

· Represent DPSM in data analysis discussions at HQ level.

· Initiate authoritative analysis of data quality.

Minimum qualifications and professional experience required:

· University degree or equivalent in in Mathematics, Economics, Computer Science, Information Management or Statistics.

· Excellent knowledge of English.

· 5 years of experience as a data analyst.

. Minimum of 6 years of relevant (international) job experience with a Master’s Degree or 8 years with a Bachelor’s Degree

· Technical expertise regarding data models, database design development, data mining and segmentation techniques.

· Strong knowledge of and experience with reporting packages (Business Objects etc.), databases (SQL etc.), programming (XML, Javascript, or ETL frameworks).

· Knowledge of statistics and experience using statistical packages for analysing large datasets (Excel, SPSS, SAS etc.)

Desirable qualifications and competencies:

· Knowledge of another relevant UN language.

· Advanced knowledge of RBM.

· Computer skills (in MS office).

· Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

· Adept at queries, report writing and presenting findings.