Roles / Responsibilities

• Verify accuracy of collected data and records
• Cross-check entries against source documents
• Identify and correct errors or inconsistencies
• Maintain organized and updated data records
• Assist in data entry and validation processes
• Generate basic reports and summaries
• Ensure data confidentiality and integrity
• Support audits and compliance checks

Qualifications

• Minimum: Certificate or Diploma in Business, IT, or related field
• Basic computer skills (Excel, data entry systems)
• Strong attention to detail and accuracy
• Good analytical and problem-solving skills
• Ability to handle confidential information responsibly
• Good organizational and time management skills
• Prior experience in data entry or verification is an added advantage

How to Apply
Interested and qualified candidates should submit applications including a curriculum vitae, copies of academic certificates, other relevant testimonials and contacts of three (3) referees one of whom must be a current or former Employer. Employees of Nairobi City Water & Sewerage Company who fit the qualifications are encouraged to apply.
A detailed job description and other relevant details can be accessed from the company website:
https://www.nairobiwater.co.ke/work-with-us/. All applications, including the required attachments, MUST be clearly marked with the respective job position and reference number and sent either by hand delivery, registered mail or courier services to the address indicated below:-
Managing Director,
Nairobi City Water and Sewerage Co. Ltd,
Kampala Road, Industrial Area
P.O Box 30656-00100,
Nairobi,
Kenya.

Architecture & Pipeline Development

• Design and Architect: Lead the design of optimal data pipeline architecture for both batch and real-time streaming (using tools like Kafka or Spark) to support immediate financial transaction processing.
• Scale Infrastructure: Identify and implement internal process improvements, focusing on re-designing infrastructure for greater scalability and automating manual processes.
• Advanced ETL/ELT: Build, test, and maintain robust database pipeline architecture for optimal extraction, transformation, and loading (ETL) from a wide variety of data sources, including core banking systems and third-party APIs.

Data Quality & Governance (FinTech Focus)

• Security Compliance: Ensure strict compliance with data governance, security policies, and financial regulations (e.g., GDPR, PCI-DSS).
• Reliability: proactively implement methods to improve data reliability and quality, ensuring financial reporting and customer balances are 100% accurate.
• Root Cause Analysis: Perform deep root cause analysis on internal and external data processes to answer specific business questions and resolve data anomalies immediately.

Leadership & Collaboration

• Mentorship: Act as a technical mentor to junior data engineers, fostering a culture of technical excellence and “low ego” collaboration.
• Stakeholder Management: Work with cross-functional teams (Product, Risk, Finance) to translate complex financial requirements into technical data solutions.
• Strategic Insight: Build analytics tools that provide actionable insights into customer acquisition, operational efficiency, and key business performance metrics

Knowledge, Skills, and Attributes

• Live Turaco’s values – care and protect, do the right thing, have fun, and low ego
• Experience: 5+ years of experience in Data Engineering, ideally within Financial Services or FinTech.
• Education: Degree in Computer Science, Statistics, IT, or similar field.
• Programming: Advanced proficiency in Python, Java, or Scala.
• Database Mastery: Expert-level SQL skills and hands-on experience with database design and data modeling. Experience with modern data warehouses (Snowflake, BigQuery, or Redshift).
• Big Data Tech: Working knowledge of message queuing (Kafka, RabbitMQ) and stream processing.
• Orchestration: Experience with workflow management tools (Airflow, DBT, Luigi).

Location : Busia
Duties and responsibilities

• The consultant would work under the direct supervision of the project manager and in close collaboration with the  Data and Analytics Unit (DAU).

He/She will perform the following duties and responsibilities:
Data Systems, Analytics and Automation Build and maintain R/Python pipelines for:

• Data cleaning, validation, and integration;
• Indicator computation automation (cross-border metrics, UMF, SDG 11);
• Statistical analysis and modelling;
• Reproducible analytics for dashboards and reports.
• Maintain a data dictionary, metadata standards, and script repositories for all workflows.
• Develop modular, open-source scripts for long-term use by county and district staff.

Decision-Support Systems & Dashboard
Development Design, build, automate, and maintain decision-support dashboards for the Greater Busia Metro Urban Observatory (GBMUO), including:

• Market, mobility, facilities and infrastructure dashboards;
• Cross-border service delivery dashboards;
• Project-level M&E dashboards for GBM reporting; UMF & SDG 11 indicator dashboards
• Develop interactive map viewers integrating GIS layers, indicators, and analytics.
• Build data pipelines that update dashboards automatically using R/Python scripts.
• Develop the public-facing GBMUO Data Portal with map viewers, APIs, open data policy, and role-based access to government, partners, and the public

GIS & Spatial Intelligence

Develop and maintain GIS dashboards and lead all spatial data operations including:

• Spatial data integration;
• Digitizing, geocoding, data cleaning;
• Land-use analysis, buffers, clusters, hotspots;
• Public service ccessibility and location-allocation models;
• Flood risk and environmental overlays;
• Market catchment analysis and mobility corridor mapping.
• Maintain and expand the GBMUO spatial database and ensure geospatial standards are followed.

Urban Observatory Operations & Governance

• Oversee daily operationalization of the GBMUO as a decentralized data-driven hub.
• Establish and operationalize governance bodies (Steering Committee, Technical Working Group).
• Align data workflows with UN-Habitat’s Global Urban Monitoring Framework (UMF).
• Develop SOPs, data-governance protocols, and maintenance routines.
• Ensure readiness for Global Urban Observatory Network (GUO-Net) certification.

Evidence Generation & Knowledge Products

• Produce geovisualizations, briefs, infographics, and analytical notes responding to evolving GBM priorities.
• Contribute to the  State of the Metro Report and GBM project reporting and M&E.
• Prepare monthly and quarterly analytics products for governments and partners.
• Translate complex analytics into accessible public-friendly content.

Capacity Building & Technical Support

• Train County/District officers, CSOs, local instituitons, and stakeholders on dashboards, GIS and data interpretation.
• Develop and maintain a GBMUO Data Toolkit (manuals, R/STATA, Python scripts, templates).
• Mentor junior analysts and interns working within the Observatory.
• Stakeholder Engagement & Cross-Border Coordination
• Provide technical advice to regular harmonization of GBM data between Kenya and Uganda.
• Facilitate multi-stakeholder data collaboratives, peer-learning events, and joint engagements.

Qualifications/special skills

• Advanced degree in urban planning, geography, statistics, data science, or related field is required.
• A first-level university degree in combination with qualifying experience may be accepted in lieu of the advanced university degree
• Minimum 2 years of experience in urban data systems, statistical observatories, or urban monitoring.is required
• Proven track record in developing geospatial platforms, survey tools, urban dashboards, and applying geospatial analysis models is required
• Experience working with survey experts and coordinating mixed-method data collection processes.is required Experience in cross-border or decentralized governance projects is highly desirable

Languages

• For the position advertised, fluency in English is required

• We are seeking an experienced and strategic Senior Business Data Analyst to lead data-driven initiatives that shape decision-making across our organization. This pivotal role will involve analyzing complex datasets, developing actionable insights, and working cross-functionally to enhance business performance, drive growth, and support strategic planning.
• If you are a data-driven professional with a passion for transforming numbers into meaningful business strategies, this role offers the opportunity to make a real impact.

Key Responsibilities

Data Management & Analysis

• Analyze business performance data and deliver insights to support strategic initiatives.
• Interpret data trends to inform forecasting, pricing, customer behavior analysis, and operational efficiency.
• Develop and manage SQL queries, data pipelines, and ETL processes to extract and clean data from multiple sources.
• Generate accurate and timely sales reports (daily, fortnightly, and monthly) including sales out, stock values, and stock movements.
• Ensure accuracy and consistency of business metrics across all reports and analyses.

Reporting & Visualization

• Create and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Looker.
• Develop and maintain business intelligence documentation, training materials, and best practice guidelines to support organizational data literacy.

Strategic Communication & Leadership

• Present findings and recommendations to senior leadership in a clear, actionable manner.
• Mentor junior analysts and support process improvements and standardization of analytics across teams.
• Collaborate with cross-functional teams to understand business needs and ensure analytical solutions meet strategic goals.
• Identify and implement opportunities for process improvements based on data insights.
• Stay abreast of the latest trends and best practices in data analytics and business intelligence.

• Review and score AI-generated responses across a wide variety of topics
• Suggest improvements and corrections using natural language examples
• Evaluate model outputs through A/B testing, ranking, scoring, and annotation
• Flag content with safety concerns (e.g., toxicity, hallucinations, or policy violations)
• Comprehensive training will be provided.

• The role holder will play a vital role in supporting system integration projects, ensuring seamless connectivity between various platforms and applications.

Main Responsibilities

• Assist in integrating various systems within the insurance platform to ensure smooth data flow and operational efficiency.
• Support the troubleshooting of integration issues and contribute to the resolution of system errors.
• Collaborate with cross-functional teams including IT, development, and business units to gather requirements and design integration solutions.
• Participate in the testing of system integrations to identify and rectify bugs or inconsistencies.
• Help maintain and document integration processes, protocols, and system configurations.
• Conduct data analysis and provide reports on system performance and integration success rates.
• Stay up to date with the latest industry trends, tools, and technologies to propose innovative solutions.

• You will share the emails in .eml or .msg formats from your personal computer (desktop or laptop), using our DataForce proprietary platform. You may submit a total of 50 emails.
• There are 2 types of emails needed for this project, time-sensitive emails and transactional emails.
• Time-sensitive emails are emails sent to an individual recipient where delivery at a specific point in time directly influences the value of the message. These are usually emails that users prefer to see in their inbox so they can act within a certain time window. For example, a meeting invitation from a company, a power outage in your house on a specific day sent by your network provider or a sudden change in flight terminal on a coming trip sent by the airline.
• Transactional emails are emails sent to one individual at a time. They specify recent transactions, financial statements, shipment deliveries, receipts of purchases and travel bookings.
• Regardless of the email category, each email must have the following attributes:
• Subject line should consist of a minimum of 4 words
• Sender email address should have a corporate domain name. Emails from @gmail, @yahoo, @aol, @outlook, @icloud, and other similar domains will not be accepted
• Sender Name
• Header (Subject, From, To and Date)

The consultant will undertake the following specific tasks:

• Design processes of data collection instruments and schema workflows, ensuring the generation of multiple rounds of validation, leading to the development of an elaborate data collection system tailor-made according to the needs of the evaluation.
• Develop, create, and maintain a codebook to standardize coding practices that are used on the data to give consistency and accurate meaning across the dataset.
• Develop a fully detailed data analysis plan providing methodologies and procedures for qualitative and quantitative data. This data analysis plan will guide the analytical process and ensure its relevancy to the evaluation objectives.
• Analyze both qualitative and quantitative data in great detail. Interpret data into actionable insights that further the objectives of the evaluation.
• Design and implementation of analytical tools or scripts for an effective data analysis. This includes using data collection software to collect the evaluation data.
• Ensure throughout the evaluation that data quality, and the validation of that data, is done. Implement necessary mechanisms to assure accuracy and integrity of data.
• Analyze the quantitative and qualitative data using statistical software analysis and interpretation.
• Provide training support to field staff undertaking data collection.
• Support the TL in drafting a comprehensive evaluation report and two-page summary findings report.

Specifically, the Data Analytics Assistant will perform the following tasks under the GEF Biodiversity and Land Degradation global portfolio: a. Contribute to the enrichment of GEF Biodiversity and Land Degradation Unit project data and activities in IPMR to improve the accuracy of monitoring and reporting.b. Contribute to monthly activity monitoring and reporting to support Integrated Planning Management and Reporting (IPMR) quarterly business reporting.

c. Contribute to Operational Closure of Projects and Project Preparation Grants (PPGs) in IPMR.

d. Maintain a repository to organize project documents including all phases of the project management cycle (development, implementation, reporting, evaluation, and closure), Project Coordination Programs (PCPs), etc

i.Updating study databases

ii.Arranging screening, enrolment and follow up files for daily schedules

iii.Performing QA/QC of electronic Case report forms (eCRFs), chart notes and name charts to ensure quality and accuracy.

iv.Printing CRFs, Consent forms as needed and arranging them in participant binders

v.Maintain data supplies inventory

vi.Study Data management and filling

vii.Participate in participant randomization process

viii.Updating participant link log

ix.Label printing and delivery to the clinic team

x.Labeling data room, logs, books and files

xi.Participate actively in the archival process of study data and ensuring proper storage and maintenance of the same

xii.Communicate closely with Data Manager to ensure priority tasks are completed and to resolve any data or other related issues that arise

xiii.Ensure data entry computers and all equipment in data room are secure and used appropriately.

xiv.Develop and review of data related SOPs

i.Review data entered into REDCap system for accuracy and completeness. This will be done either by reviewing surveys to confirm completeness or by comparing source records (e.g. lab results) to data entered into redcap

ii.Run routine data quality verification & error detection scripts and issue queries on identified data quality issues

iii. Monitor query resolution queue and follow up relevant data collectors

iv.Respond to data queries issued by the study sponsor

v.Study monitoring and reporting:

vi. Monitor study recruitment and retention, update accrual template and provide weekly progress reports

vii.Flag participants who have missed expected contact points and report to study coordinator

viii.Targeted data cleaning and analysis support for quarterly data and safety monitoring board (DSMB) meeting

ix. End of study preparation for closeout and data lock

x.Focused one-off projects

xi.Collaborate on developing study accrual report template

xii.Refining data validation rules and script

xiii. End of study descriptive analyses

i.Support in planning data collection methods and developing experimental designs and analytical methods

ii.Collaborate with study investigators on sample size calculations and study sampling

iii.Design and implement data collection tools for specific projects

iv.Create and manage research data collection tools and databases using REDCap and ODK, among other tools.

v.Train and manage data collection teams to ensure quality data collection.

vi.Conduct weekly data cleaning and reporting, manage data integrity issues

vii.Develop, maintain, and present Key Performance Indicator (KPI) dashboards to study personnel

viii.Communicate with trial investigators about data quality and resolve issues per study protocol.

ix.Assist in preparing trial documents, reports, and responses to regulatory inquiries

x.With support of trial investigators, assist in clinical trial monitoring, including safety reporting

xi.Utilize statistical software and techniques for data gathering, analysis, and interpretation

i.Developing and implementing program tracking databases in support of program evaluation activities

ii.Merging data across databases and check for data inconsistencies and outliers using STATA

iii.Cleaning and editing medical record data for analysis

iv.Generating data reports on program activities

v.Sample size calculation, statistical interpretation

vi.Preparation of tables, figures, results using statistical methods

Conduct data quality checks following standard operating procedures (SOPs).
Provide support to the support desk and field staff when required, ensuring effective communication.
Utilize data analytics and project knowledge to identify risks and issues within projects.
Keep the manager informed by providing regular daily, weekly, and ad-hoc updates.
Propose potential solutions to address problems encountered in the field.
Draft training materials, protocols, and other necessary documents as needed.
Assist in survey creation and participate in sampling or other CCE/Survey work as required.
Utilize designated tools and software proficiently as per project requirements.
Demonstrate honesty and transparency in all aspects of work.
Emphasize direct and open communication to address problems and provide feedback constructively.
Determine appropriate methods for data quality checks, data analysis, and operations assessment.
Identify gaps in current data quality check SOPs and suggest improvements.
Develop new processes and procedures to enhance project operations. eTYmXNc B1yV2u
Provide training to field staff on new systems and processes.
Evaluate the effectiveness of newly implemented processes.
Document findings, prepare reports, and make recommendations based on analysis.

Responsibilities include, but are not limited to:

Provide analytical, research, portfolio, and processing support to project teams;
Create and analyze financial models;
Review and analyze historical and projected financial statements;
Conduct industry and market research and assist in IFC’s business development efforts;
Be part of country cluster coverage teams as may be required from time to time with associated responsibilities including internal presentations, maintaining and updating pipeline, client coverage and sector coverage
Elaborate pitchbooks and proposals for clients;
Review company information and prepare reports on periodic financial statements, project progress reports, and other information submitted by clients;
Participate in all aspects of IFC’s project processing cycle, from project development to asset management; and
Prepare documentation for IFC internal processes;
Participate in investments negotiations; and
Actively manage assigned investments in portfolio companies, including monitoring of compliance with IFC financial, environmental, insurance and legal requirements. preparing timely credit risk assessment reports and equity valuations, and tracking development results throughout the project cycle.

Among other duties the Operations Analyst will be responsible for the following tasks:

•  Research new markets/ sectors for MIGA guarantee business origination efforts in Africa;
•  Conduct research on various potential investors, specific companies, governments and sovereign owned entities (SOEs); integrity checks, trends in foreign direct investment (FDI) into Africa; screening list of potential Public Private Partnerships (PPP) projects; identification of other business opportunities;
•  Collect and analyze data from public and WBG sources for business development purposes; prepare and use complex financial models to analyze the financial viability of the investment project or support credit analysis for credit enhancement transactions;
•  Engage with MIGA’s clients, conduct in-country and virtual due diligence meetings with host country government officials, and collaborate with partners (e.g. World Bank, IFC, and other development finance partners);
•  Prepare talking points and presentations for new business origination-focused activities with project sponsors, specialist industry groups, and forums;
•  Identify investor/sector conferences relevant for MIGA and conduct logistical arrangements for client meetings, workshops, conferences, business trips of MIGOP’s officers; eQEciFM Dk8Hz6
•  Prepare memos including internal assessment, briefing memos, minutes of meetings;
•  Contribute to execution of MIGA’s products as needed, including pricing indication, supporting the documentation, credit papers drafting, following up on clients’ application materials and fee payment among other things.

Interested and qualified persons are requested to complete the online employment
application form Ref. KNBS/F/93/29.

The United Nations Office at Nairobi (UNON) is the UN headquarters in Africa and the Director-General of UNON is the representative of the Secretary-General in Kenya. UNON supports programme implementation of the United Nations Environment Programme (UNEP), the United Nations Human Settlements Programme (UN-Habitat) and the Resident Coordination System (RCS) globally, as well as other UN offices in Kenya, by providing administrative, security, conference and information services (www.unon.org). This position is located at the United Nations Office at Nairobi (UNON), Division of Administrative Services (DAS), within the Information and Communications Technology Service (ICTS), Nairobi, Kenya. Under the direct supervision of the Information Systems Officer the intern will:

•  Using statistical techniques, analyze results from data to create ongoing reports.
•  Review information to identify and interpret any patterns or useful trends in complex data sets.
•  Ensure required datasets are regularly and promptly updated.
•  Create tables, views, and procedures on Microsoft SQL Server to support data processing and cleansing for report development.
•  Create technical training manuals to provide support to other teams and users, as well as gathering user feedback so that improvements can be identified to simplify processes and increase productivity. eO4NwHz BIpnb
•  Acquire data from primary and secondary sources to develop reports and dashboards.
•  Identify areas where data can be used to improve business activities, defining business users’ requirements.

•  Conduct data quality checks following standard operating procedures (SOPs).
•  Provide support to the support desk and field staff when required, ensuring effective communication.
•  Utilize data analytics and project knowledge to identify risks and issues within projects.
•  Keep the manager informed by providing regular daily, weekly, and ad-hoc updates.
•  Propose potential solutions to address problems encountered in the field.
•  Draft training materials, protocols, and other necessary documents as needed.
•  Assist in survey creation and participate in sampling or other CCE/Survey work as required.
•  Utilize designated tools and software proficiently as per project requirements.
•  Demonstrate honesty and transparency in all aspects of work.
•  Emphasize direct and open communication to address problems and provide feedback constructively.
•  Determine appropriate methods for data quality checks, data analysis, and operations assessment.
•  Identify gaps in current data quality check SOPs and suggest improvements.
•  Develop new processes and procedures to enhance project operations. eOqUo47 BIpnb
•  Provide training to field staff on new systems and processes.
•  Evaluate the effectiveness of newly implemented processes.
•  Document findings, prepare reports, and make recommendations based on analysis.

• Contribute to the design of the study protocols including sample size estimation and power analysis.
•  Perform random number generation and patient allocation for RCT.
•  Develop Statistical Analysis Plans (SAP), TLF shell and dataset specifications for SDTM and ADaM.
•  Be an SDTM and ADAM expert providing advice and training.
•  Writing analysis programs to meet specifications of the SAP/lead statistical programming activities as trial programmer as well as making statistical programming decisions/recommendations at study/project level.
•  Maintain proficiency in SAS and awareness of developments.
•  Identify areas where new processes are required as well as create, review and update SOPs and Study Specific Procedures (SSPs).
•  Analyzing and interpreting data from clinical trials and other studies.
•  Liaise with the Senior Manager, Data Management and Biostatistics and coordinating office (Regional Operations Manager) to develop quarterly and yearly work-plans to determine activities and targets for the period.
•  Identify and resolve data discrepancies in liaison with data managers.
•  Participate in validation of Clinical Data Management Systems including edit check programs.
•  Support study team in developing data collection tools and preparing data entry templates.
•  Contribute to Case Report From (CRF) design and all other data management and statistical documentation.
•  Perform additional management activities as required to provide timely and high-quality data for the purposes of analysis and/or regulatory submissions, database creation and testing.
•  Maintain strict confidentiality of all privileged information regarding data and the organization.
•  Assist in writing the statistical section of the CSR and ensure the CSR accurately describes the statistical methods and results of analyses.
•  Ensure appropriate analysis procedures are used in statistical analyses.
•  Create case report tabulations (CRT) from clinical trial data.
•  Ability to work on multiple projects, plan, organize and prioritize activities.
•  Be aware of up-and-coming changes to regulatory guidelines/requirements and awareness of emerging standards and associated impact to ongoing and future planned trials.
•  Build and maintain effective working relationships with cross-functional teams.
•  Comply with organization and industry standards (e.g. CDISC) and processes.
•  Mentor other staff on statistical analysis/statistical programming.

Organization: Co-operative Bank of Kenya

Job Reference Number: DQA/IID/2023

Application Deadline: January 7, 2024

About the Organization: The Co-operative Bank of Kenya, known as “The Kingdom Bank,” is a place that promotes individual excellence, mutual respect, and a team-driven culture. If you are passionate about data quality, excel in problem-solving, and have a meticulous approach to work, this opportunity might be for you. The organization is looking for a Data Quality Analyst to join its ICT team.

Reporting To: Head of Strategy and Governance

Role Overview: The Data Quality Analyst will be responsible for establishing and implementing effective procedures and strategies for the creation, maintenance, and management of robust data quality processes and guidelines. This role involves investigating, analyzing, and resolving data quality issues while ensuring compliance with enterprise procedures. The analyst will also develop a program to enforce quality control measures, oversee the data quality management system, and coordinate internal and external audits to uphold global standards.

Key Responsibilities:

1. Drive the strategic direction through objective, systematic analyses for informed decision-making.
2. Identify and address data quality issues, implement improved work practices, and enhance overall data integrity.
3. Oversee the data quality initiative from initiation to completion, ensuring high-quality data results.
4. Integrate data quality management policies into enterprise IT planning, building, and running domains.
5. Propose corrective action plans and enhancements to address non-compliance with standards.
6. Develop and implement comprehensive data quality metrics and KPIs, regularly analyzing and reporting to stakeholders.
7. Collaborate with cross-functional teams to establish and maintain data quality standards, guidelines, and best practices.
8. Conduct thorough data profiling and analysis, providing valuable insights for data quality enhancement strategies.
9. Lead and participate in data quality improvement projects, coordinating efforts with relevant stakeholders.
10. Stay abreast of industry trends and apply knowledge to continually enhance data quality practices.
11. Actively engage in the resolution of complex data quality issues, conducting root cause analyses and implementing effective solutions.
12. Establish and maintain a robust data quality governance framework, including policies, procedures, and controls.
13. Champion a data-driven culture, promoting the importance of data quality and fostering collective responsibility.
14. Collaborate with external vendors, partners, and regulatory bodies to ensure compliance with industry standards.
15. Participate in the development and execution of data quality awareness campaigns to educate internal stakeholders.
16. Cultivate positive working relationships with team members, stakeholders, and clients, demonstrating personal drive and integrity.
17. Communicate with influence, presenting information clearly, concisely, and articulately.

Desired Skills and Experience:

1. Bachelor’s degree in information technology or information management.
2. Quality-oriented certification such as Certified Six Sigma Certification, Certified Manager of Quality, or similar.
3. At least five (5) years of quality analysis experience and/or relevant vendor certification.
4. Ability to manage complexity and multiple initiatives with analytical, project management, and team leadership skills.
5. Knowledge in the use of notable data management tools.

How to Apply: If you fit the profile, forward your application letter with a detailed Curriculum Vitae to jobs@co-opbank.co.ke. Indicate the job reference number DQA/IID/2023 by January 7, 2024.