Information Management Officer

Job Purpose
To show the required indicators for IMU products and services through visualizing and analyzing the received raw data from the IMU’s network of enumerators in Syria after validating and cleaning it, as clear graphs, charts and tables. This job is considered the backbone of the information processing capacity.

Responsibilities

• To process qualitative and quantitative data (received from the data management officer) so the GIS and the reporting officers can further process the generated information.
• To create pivot tables, heatmaps, charts of assessment databases, qualitative analysis of secondary data, creating case studies, etc.
• To support the network officers and the manager in the design of assessment methodologies and sampling techniques etc.
• To design structured questionnaires for IMU products.
• To program the questionnaires and surveys on Kobo.
• set all validation rules to minimize the range of errors during field data collection.
• To produce online interactive reports and studies based on the received data.
• To prepare tables containing information from the available datasets as requested.
• To establish sampling methods for the data collection in Syria that apply the rules of representative sampling methods.
• To clean and validate the raw data before processing and analysis with the network officers.
• To archive the data, including (raw data, clean data, and analyzed data) on SharePoint after the closure of each project/product.
• To process case-specific information requests.
• To attend Cluster meetings, present IMU products there and engage with UN cluster leads.
• To present IMU products professionally in English/Arabic languages in meetings.
• To prepare relevant reports.

Note: the above-mentioned key responsibilities/accountabilities are illustrative ones. Depending on the department’s organizational chart, other future responsibilities/accountabilities may be assigned to the job.

Qualification (Education/Work Experience/Languages)

A. Essential:

• Education: Bachelor’s degree in software engineering or Mathematical Statistics.
• Language: Arabic language advanced level; English language advanced level; basic Turkish level.
• Work Experience: At least three years of professional experience in data analysis, studies, and visualization.

B. Desirable:

• Education: Master’s degree in software engineering or Mathematical Statistics.
• Language: Arabic language advanced level; English language advanced level; Turkish intermediate level.
• Work Experience: At least five years of professional experience in data analysis, studies, and visualization.

Core & Technical Competencies

A. Core Competencies

• Communication
• Teamwork
• Planning and Organizing
• Accountability
• Creativity
• Client Orientation
• Commitment to Continuous Learning
• Technological Awareness

B. Technical Competencies:

• Excellent command of MS Office Excel: key functions VLOOKUP, if…., Data sort and filters, formatting, editing, data validation, charts, pivot tables.
• Excellent command of PowerBI/Tableau: Advanced level of knowledge the data analysis and visualization techniques.
• Good command of SPSS: familiarity with Boxplot function, correlation functions, and tools that test correlation functions.
• Good command of SQL Server: SQL server syntax, SQL query syntax, SQL commands.
• Excellent command of MS Office Word: organizing word documents, text formatting, document layout, and dealing with tables.
• Good command of GIS Software: ARC Gis, ARC Gis Online: image Geo-referencing, Digitizing, and editing features, establishing geodatabase, feature dataset, feature class, and shapefile, working with arc toolbox, working with spatial analyst tools, work with data management tools, projection, and transformation, layers symbology, GIS online referents apps, query, join and relate tables, layout tools and technics, Arc-Catalogue, geoprocessing tools.
• Good command of sphere standards.
• Good command of humanitarian standards.
• Good command of Kobo, ODK Aggregate: Questionnaire design, basic options of Kobo, testing tools.
• Excellent command of DAX statements: Advanced level of knowing the DAX expressions.
• Experience with relation and non-relation database systems and data modeling
• Good command of GIS Software: ARC Gis, ARC Gis Online: image Geo-referencing, Digitizing, and editing features, establishing geodatabase, feature dataset, feature class, and shapefile, working with arc toolbox, working with spatial analyst tools, work with data management tools, projection, and transformation, layers symbology, GIS online referents apps, query, join and relate tables, layout tools and technics, Arc-Catalogue, geoprocessing tools.