Information Management Associate (Data & Reporting Analyst) – HYBRID

Responsibilities and Accountabilities

1. Data Collection Systems – KoBoToolbox

• Design, build, and maintain KoBoToolbox data collection forms for all programme components—including physical progress monitoring, QA/QC inspections, WASH output tracking, beneficiary data, and field verification exercises—ensuring forms are version-controlled, piloted, and deployed consistently across all four project states.
• Manage the end-to-end data pipeline from field submission through KoBoToolbox to consolidated datasets: monitor submission rates, identify and resolve data gaps, run automated validation checks (range, logic, required fields), and flag anomalies to field engineers for correction.
• Develop and maintain standardized data collection protocols and field submission procedures; conduct remote and in-person training sessions for site engineers and state-level staff on KoBoToolbox form usage, data quality standards, and submission workflows.
• Support the integration of KoBoToolbox data exports with downstream analysis and reporting tools (Excel, Power BI), ensuring data formats, coding conventions, and field labels are consistent and transformation-ready.
• Maintain and document all active KoBoToolbox projects, form versions, user permissions, and data export schedules; ensure data is backed up and stored in compliance with data governance standards.

2. Data Analysis and Visualization – Excel & Power BI

• Build and maintain advanced Excel workbooks for programme data management and analysis, featuring dynamic pivot tables linked to live exports, cross-register data reconciliation, structured data validation and dropdown controls, conditional formatting (for status flags, overdue items, and threshold breaches), and automated summary dashboards driven by formulas and slicers.
• Develop, publish, and maintain Power BI dashboards providing real-time programme intelligence for SISSIRP management and AfDB reporting, covering physical progress (by state, sector, and facility type), procurement and contract milestones, WASH output indicators (coverage, functionality, beneficiary reach), QA/QC pass/fail rates, and financial disbursement progress against targets.
• Apply DAX measures and calculated columns in Power BI to derive programme-level KPIs (e.g., percentage of facilities completed, cost per beneficiary, average construction duration) and configure row-level security (RLS) to control data access by state and role.
• Design and implement relational data models in Power BI connecting multiple source tables (progress trackers, procurement registers, beneficiary data, KoBoToolbox exports) to ensure dashboard figures reconcile accurately with source data.
• Produce periodic analytical reports and data summaries (weekly, monthly, quarterly) for the Programme Officer, Programme Manager, and donor reporting, translating data outputs into clear narrative findings supported by charts and maps.
• Support GIS-based analysis and mapping of SISSIRP facilities using available tools (Excel/Power BI map visuals and QGIS where applicable) to visualize the geographic distribution of project activities and outputs.

3. Programme Reporting and M&E Support

• Serve as the Information Management (IM) focal point for all AfDB progress reporting requirements by compiling, quality-checking, and formatting field data inputs into standard reporting templates aligned with AfDB M&E frameworks and SISSIRP’s Results Framework indicators.
• Maintain the SISSIRP Master Data Register as a single source of truth for all facility-level progress data—updating it on a rolling basis from field inputs, reconciling it against procurement and payment records, and sharing it weekly with the Programme Officer and Programme Manager.
• Support the preparation of donor progress reports, quarterly reviews, and AfDB supervision mission briefings by providing accurate, well-visualized data summaries, programme maps, and indicator tables.
• Maintain the programme’s document management system for IM-related files, including data dictionaries, codebooks, form versions, and dashboard user guides.

4. IM Capacity Support and Quality Assurance

• Provide ongoing technical support and troubleshooting to field teams on KoBoToolbox, Excel, and Power BI, responding to data queries from site engineers and state-level staff within one working day.
• Develop and maintain user guides, data dictionaries, and standard operating procedures (SOPs) for all IM tools and systems used under SISSIRP.
• Conduct periodic data quality reviews across all programme components and produce Data Quality Assessment (DQA) reports with findings and corrective recommendations for the Programme Officer.
• Perform other duties as assigned by the Programme Officer (Engineering) or Programme Manager.

Deliverables

The Information Management Associate shall produce and maintain the following on an ongoing basis:

• Operational KoBoToolbox System: Maintained across all SISSIRP programme components and states, complete with version-controlled forms, active user management, and documented protocols.
• Weekly SISSIRP Master Data Register: Consolidated, cleaned facility-level progress, procurement, and WASH output data shared weekly with the Programme Officer.
• Power BI Dashboard Suite: Interactive dashboards covering programme overview, state-level progress, WASH outputs, and procurement milestones—published, refreshed, and shared with management on a rolling basis.
• Monthly Data Quality Assessment (DQA) Report: Detailed summary of submission rates, error flags, corrective actions taken, and unresolved gaps.
• Quarterly AfDB Reporting Inputs: Data tables, indicator summaries, maps, and charts formatted to AfDB reporting standards.
• IM System Documentation: Current and accessible data dictionary, KoBoToolbox form register, Power BI user guide, and SOPs for the programme team.

Required Qualifications and Experience

Education & Experience

• Bachelor’s degree in Information Management, Statistics, Data Science, Computer Science, or a related field from an accredited institution with 4 years of relevant professional experience; or a completed High School diploma/certificate with 6 years of relevant professional experience.
• Demonstrated hands-on experience with KoBoToolbox (or ODK/KoboCollect), including designing multi-section forms with skip logic, validation constraints, and repeat groups; managing projects and user permissions; and exporting/cleaning datasets.
• Advanced proficiency in Microsoft Excel, including dynamic pivot tables/charts, lookup functions (XLOOKUP, INDEX-MATCH, VLOOKUP), conditional formulas (IFS, COUNTIFS, SUMIFS), data validation, structured tables, Power Query, conditional formatting, and dashboard construction.
• Demonstrated experience building and publishing Power BI reports and dashboards, including data modeling, DAX measures, calculated columns, and Power BI Service administration.
• Familiarity with infrastructure, WASH, or humanitarian programme data is a strong advantage.
• Experience with QGIS or other GIS tools for spatial analysis and mapping is an advantage.

Technical & Core Skills

• KoBoToolbox: Expert-level form design (XLSForm and online builder), skip logic, validation constraints, repeat groups, multi-language forms, data export, and project administration.
• Microsoft Excel: Pivot tables, advanced lookup and nested formulas, Power Query (M language), data validation, conditional formatting, and dynamic dashboards (without VBA).
• Power BI: Star-schema data modeling, DAX (CALCULATE, FILTER, RELATED, time-intelligence), visual design best practices, and Power BI Service (workspaces, row-level security, scheduled refreshes, sharing).
• Data Quality & Analysis: Strong ability to detect and resolve inconsistencies, outliers, and gaps in field datasets, maintaining audit-ready records.
• Data Communication: Ability to translate complex datasets into concise visual summaries, charts, and written narratives for non-technical stakeholders.
• Collaboration & M&E: Proficiency in Microsoft SharePoint/OneDrive for file management; working knowledge of Results Frameworks, Indicator Tracking Tables, and logframe-based M&E (familiarity with AfDB reporting standards is a strong advantage).
• Work Management: Proven ability to manage multiple analytical workstreams simultaneously and deliver accurate outputs under tight deadlines.

Languages

• English: Full professional proficiency (oral and written) is required.

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Work Location: In person

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