Data, Monitoring and Research Jobs at Kantar, M-KOPA, FHI360 NGO, Kenya Wine Agencies Limited and other companies


Deadline of this Job: 20 December 2022
JOB DETAILS:

Job Details
Our insights colleagues are experts in human understanding. With expertise covering brand, innovation, creative, media, commerce and customer experience, they help clients define what brands should stand for, how to disrupt and renew their offer, how to connect with audiences and how to win with consumers and customers.

ROLE DESCRIPTION
Assist and collaborate in the design, execution and delivery of projects. The incumbent will be responsible for specific project related tasks with the guidance of seniors.
Financial Management and Business Acumen:
• Propose cost saving solutions when possible
• Understands the principles of Precision Growth
• Review job costs and impact on financial results
• Highlight costs and budget concerns with team to achieve on-budget projects

Client Development and Management
• Communication with client with guidance from seniors
• Handles simple client project queries regarding research inputs and outputs
• Understand and communicate client / project needs to internal team
• Start to develop a clear understanding of client business strategy and how TNS can contribute to growth
• Handles simple client project queries regarding delivery related issues, and ensures Development are kept up to date at all times

Research Skills
• Proposal, Design, Costing and Sampling

Able to cost straightforward projects
• Responsible for specific project related functions including writing proposals, designing questionnaires/discussion guides, and sample design and tab specs.
• Gather and check cost quotations against specification

Project Management
• Ensure implementation of the most simple, effective and fastest project schedules and processes

Analysis and Insights
• Able to analyse data patterns in detail to understand significance and identify appropriate action (Quality Assurance)
• Work with team to generate insights and recommendations to meet client needs
• Prepare basic presentations using Kantar framework

ROLE REQUIREMENTS
• Completed tertiary education – degree in Marketing, eg. B Com/B Bus Sc (preferably Hons)
• Minimum of 1-2 years of work experience in the research industry
• Analytical ability with proven numeracy skills (Skills will be tested)
• Computer literacy – proficiency on all MS Office packages
• Business writing skills
• Presentation skills
• Basic commercial skills (cost and time management)
• Strong attention to detail
• Marketing knowledge and a thorough understanding of marketing research principles


Deadline of this Job: 14 December 2022
JOB DETAILS:

You’re excited about this opportunity because you will
• You enjoy working with many stakeholders across the business, like BI developers and business leaders to deeply understand key reporting and analytics requirements for a wide range of use-cases
• Facilitating cross-team discussions around the definition and modeling of key business concepts
• Interfacing with backend developers to design data access patterns that appropriately manage trade-offs between M-KOPA’s analytical capabilities and transactional software flexibility
• Recruiting and supporting a small, world-class, team of Analytics/Data Engineers, providing capacity for M-KOPA to build and maintain analytical data sets across a growing range of domains and use-cases
• Ensuring that analytical data systems are built to the standard of any other production software system, with emphasis on good practices like observability and infrastructure-as-code
• Ensuring that analytical data systems are built securely, with appropriate access controls and PII protections
• Leading M-KOPA’s drive to obtain impactful, real-time access to analytical data; relentlessly driving both commercial strategy and customer experience and helping M-KOPA to live up to its fullest potential as a modern, data-driven company

We’re excited about you because you have experience with
• Experience with modern engineering practices, including observability, CI/CD, infrastructure as-code, and testability
• A mature data modeling skillset, with a particular emphasis on event-based systems and a proven ability to translate between business use-cases and data model design
• Demonstrated capability with large-scale software systems, with a particular emphasis on distributed systems
• Enough experiencing with networking and cloud infrastructure security to be able to stitch a range components together without making any major mistakes
• An interest in being “more than an engineer” and with engaging directly with commercial and customer experience challenges
• Experience recruiting, supporting, and motivating a world-class engineering team

Our stack
• dbt for Transformation
• Looker for visualisation
• Spark / Data Factory / Event Hub / Airflow for ingestion (we’re working on making this simpler in platform)
• Airflow / AKS for orchestration
• Microsoft Azure as our base cloud provider


Deadline of this Job: 22 December 2022
JOB DETAILS:

Technical Responsibilities:
• Support linkage of case-based surveillance data with laboratory results and roll out of Integrated Disease Surveillance and Response technical guidelines.
• Develop and monitor systems to integrate data collection, processing and reporting, visualization, and use of information for improving health service effectiveness and efficiency through better management at all levels.
• Provide technical support for data linkage and integration of partner supported digital solutions/electronic surveillance tools into the national DHIS 2 and with laboratory systems.
• Support implementation of event-based surveillance and hospital event-based surveillance and improve linkages with national and county emergency operations centers for investigations.
• Support the develop and/or revision of relevant protocols, SOPs, instruments, data sets, manuals, training materials and reports pertaining to the health information system.
• Implement strategies to strengthen capacity of MOH in surveillance systems, data management, health informatics, data analysis and use for program planning and improvements.

Applied Knowledge And Skills
• Strong analytical skills with demonstrated capacity to interpret data and inform evidence-based decision making.
• Documented skills in the design, implementation, and oversight of electronic data collection tools (e.g, DHIS2, EARS, Jitenge), client level electronic medical records, and in the use of data visualization techniques and software (DHIS2, Tableau, PowerBI)
• Sensitivity to cultural diversity and understanding of the political, contextual, and ethical issues in assigned areas.
• Excellent organizational and analytical skills.
• Excellent and demonstrated project management skills.
• Ability to network and collaborate with others in a complex multi-partner context.
• Demonstrated proficiency with using Microsoft Office Suite required.
• Ability to analyze and interpret data, identify errors, and prepare reports.
• Ability to solve problems and implement corrective action as needed.

Education And Experience
• Master’s Degree or equivalent in public health, epidemiology, statistics, international relations, or other relevant discipline (or international equivalent).
• At least 6 years of relevant experience in electronic surveillance systems or health information systems, preferably in Kenya.
• Experience working with multiple national and county level health agencies/divisions and an understanding of the Kenyan health system.
• Prior work experience in a non-governmental organization (NGO), government agency, or private organization.
• International program development or program management experience preferred.


Deadline of this Job: 21 December 2022
JOB DETAILS:
Job Purpose
• Reporting to Enterprise Application manager, the incumbent will ensure proper data quality, governance and management across the business and IT department. The role is responsible for helping the organization understand its data, recognize trends and patterns, and make better decisions. The role holder will work closely with other members of the data team, as well as with business stakeholders, to ensure the organization data is being used to its fullest potential.
Responsible for analyzing and maintaining the data systems of an organization, the duties include interpreting data, analyzing statistical results, creating databases, identifying patterns from data sets, and undertake data filtering while advising and consulting on data strategy, governance, quality, and master data management across the organization.

Responsibilities and Accountabilities
Area 1: Data Administration
• Participate in policy review, work flow processes under the guidance of Enterprise Application manager and Head of ICT.
• Work with business units to understand their data needs and develop appropriate solutions.
• Design, implement, and maintain data warehouses, models, and cubes.
• Extract, transform, and load data from multiple sources into the data warehouses.
• Monitor data quality and take corrective action when necessary.
• Deliver trusted data accurately and securely.

Area 2: Data Analysis
• Analyzing data to identify patterns, trends, and insights that help managers make better business decisions.
• Developing and maintaining models to predict future performance based on historical data.
• Creating reports that present findings in a clear and concise manner.
• Governing complex data ecosystems and supporting mission-critical analytics.
• Implementing self-service analytics and simplifying complex IT operations.
• Delivering insights in real time and supporting the growth of company wide Data Cultures.
• Using statistical software to analyze large data sets and identify trends.
• Build value and reduce costs with actionable insights from an AI-driven, enterprise-ready analytics platform.
• Serve as the primary point of contact for data analytics and reporting.
• Write SQL queries to support data analysis and reporting.
• Develop reports and dashboards using business Intelligence tools.
• Conduct ad-hoc analysis to answer specific business questions.
• Perform root cause analysis to identify issues and recommend solutions.
• Stay up-to-date on new features and capabilities of Business Intelligence tools.
• Train users on how to use Business Intelligence tools.
• Provide Tier 3 support for Business Intelligence applications.
• Increase organizational agility with scalable data analytics.

Area 3: Data Governance
• Collaborate with company management , IT teams and business stakeholders to develop a data strategy that meets corporate needs and industry requirements.
• Evaluate current data management technologies and additional tools are needed.
• Determine upgrades and improvements to current data architectures.
• Design, document, build, and implement database architectures and applications.
• Develop and enforce database development standards.
• Identifying problems that are occurring in operations and proposing solutions to management.
• Recommending data changes to improve efficiency or quality of services.

Attributes/ Competencies
• Minimum five (5) years relevant experience in medium to large data architecture in ERP implementations.
• Knowledge of Microsoft products, including Windows Server 2016 – 2019, Windows operating systems, Linux, Unix in medium to large networks.
• Practical experience in database management, use of MS packages and ERP systems.
• Proven experience in applications development and related project management.
• Experience of on premise/Cloud storage concepts, hosted applications and hosted servers.
• Strong analytical and report writing skills.
• Excellent problem solving and critical thinking skills.
• Strong understanding of business processes and computer networks.
• Conversant with latest ICT technology standards and data compliance requirement/privacy regulations.
• Ability to provide business analytics support through standard query scripting/programming/report generation.
• Conversant with latest ICT technology and trends.
• Good customer service orientation.
• Attention to detail and well organized.
• Strong interpersonal and communication skills.
• High level of integrity & Confidentiality.
• Excellent presentation skills.
• Able to work independently with little supervision.

Minimum Requirements
• A Bachelor of Science in Data Science, Information System Technology or Computer Science or closely related field.
• Professional qualification in ICT such as Certified Software Development Professional (CSDP), Programming certification (Java, Python, PHP, Microsoft .NET, Visual Basic) and Excel, SharePoint, SQL and HTML or equivalent.
• Minimum five (5) years relevant experience in managing a large enterprise planning system in a large organization.
• Must have experience in the implementation, design & support of ERP systems databases.
• An understanding of statistical programming languages to analyze data and create visualizations.
• Must have experience in report writing using QLIK sense, Power BI, Tableau, Crystal Reports and other software to create graphs, charts and other visuals to help others understand the data.
• In-depth understanding of SQL database and security environment.

Preferred Skills and Qualifications
• Master’s degree in Data science, computer science, mathematics, statistics, or related field will be an added advantage.
• In-depth understanding of SYSPRO and SAP ERP system will be an added advantage.
• Experience with big data platforms, such as Hadoop, Spark, or NoSQL databases.
• Deep understanding of data visualization tools, such as Power BI, Tableau or QlikView.
• Advanced programming skills in SAS, R, PHP, Python, or Java.


Deadline of this Job: 20 December 2022
JOB DETAILS:

Key Responsibilities
• Collate information on production systems, and contribute to capacity development in national systems through developing training manuals and providing training livestock breeding management for enhanced productivity in different systems
• Support the implementation of project activities involving stakeholders and partners using participatory research in development approaches
• Contribute to the development of paperless data capture tools for livestock production systems, provide support in their use, and monitor information generated from different sources.
• Provide support in the management, and use of livestock data, including generation of statistics, documentation, and dissemination of results for use by key stakeholders in decision making

Requirements
• MSc in Animal production or related field
• Two years relevant working experience
• Experience in designing and implementing participatory rural appraisal surveys using paperless data capture tools, with additional experience in developing paperless data capture tools for farm data capture
• Experience in working with small ruminant production under challenging environment conditions, and in developing content for extension materials.
• Ability to plan and implement workshops training trainers on improving livestock productivity in low input systems.
• Ability to implement statistical analyses of data, document outputs and contribute to developing quality publications.
• Good general knowledge of livestock production systems in developing countries, and R4D approaches to strengthen these
• Good knowledge of statistics, MS-Office, and use of livestock databases
• Ability to work independently and with internal and external stakeholders
• Good communication and interpersonal skills


Deadline of this Job: 16 December 2022
JOB DETAILS:
Main purpose of the job
• The Data Manager will work under the direct supervision of the Monitoring & Evaluation Manager. He/she will coordinate implementation of data management processes in the Deloitte’s Mastercard Foundation Saving Lives and Livelihood (SLL) funded Programme. He/she will perform SLL performance presentations, coordinating and generating of all data management requests.

Job Description
• Support the preparation and submission to Africa CDC progress report(s) and a final report in accordance with the provisions set out in the contract.
• Review the monthly progress narrative reports submitted by SLL Implementing Partners as per agreed standardized template and process flow.
• Highlight key achievements per SLL Implementing Partner based on agreed performance objectives and deliverables of the reporting period for each Africa member state.
• Review narrative reports based on agreed monthly expectations and deliverables per SLL Implementing Partner and provide a summarized perspective to the stakeholders.
• Address comments from reviews on the final report to be shared with Africa CDC and Mastercard Foundation for onward issuance to the respective Africa member state.
• Pull SLL programme performance data from SLL District Health Information System platform (DHIS2) on selected KPIs per SLL partner, per country and region to update the project performance dashboard on a monthly basis.
• Using advance excel and other digital data visualization softwares (such as Power BI and Tableau), develop a robust performance dashboard for the Mastercard Foundation team that will visualize the SLL Programme performance at a glance.
• Support in developing data quality assessment / audit (DQA) tools to facilitate DQA activities.
• Share the DQA findings and recommendations to respective SLL Implementing Partners and Africa CDC for the systems assessment and data verification protocol.
• Communicate the DQA corrective action plans with the SLL Implementing Partners and Africa CDC from the systems assessment and data verification protocol.
• Support in tracking the implementation to completion of DQA improvement plans and corrective action plans.
• Support in the development of the evaluation approach including designing digital data collection tools in ODK platforms.
• Support in developing program evaluation data collection tools and instruments including evaluability assessment tool, questionnaires, key informant interview schedules and FGDs among others.
• Provide programmatic and technical input into the design and implementation of the evaluation, as well as the interpretation of evaluation findings.
• Support the development of a comprehensive evaluation design report or inception report using the insights gained from evaluability assessment and inputs from the technical evaluation reference group (ERG).
• Support the provision of a complete performance account of all relevant aspects of the implementation of SLL activities for the period covered.
• Provide technical guidance in designing, development and use of data capture tools to meet the Africa CDC program requirements.
• Perform needs assessment and work with information systems personnel at project and implementing partner level to determine feasibility of development of new databases and enhancements or modifications to existing databases.
• Conduct routine data quality assessments on program databases and provide ongoing support to data management officers to do the same routinely at different SLL implementation levels.
• Supervise, mentor and capacity build a team of Data Management Officers.

Qualifications
• A Bachelor’s Degree in Data Analytics, Data Visualization, Data Management, Mathematics, Statistics or a related field with at least 5 years’ experience in Data management for a large scale multi – country donor funded programme. Master’s Degree in the above field will be an added advantage.
• Strong hands-on experience in managing and conducting Data Quality Audits/Assessments (DQAs) including data verification and implementation of DQA improvement plans and corrective actions.
• Strong ability to review program narrative reports with good technical acumen in generation of synthesized summarized report.
• Demonstrated experience with National Health Management Information Systems such as DHIS2.
• Good experience in developing performance dashboards using rapid applications like excel, Tableau, Microsoft Power BI.
• Experience working in Saving Lives and Livelihood (SLL) programs/projects including COVID – 19 response initiatives will be an added advantage.
• Willingness to travel across African Countries.

Additional Information
Behavioural competencies

• Excellent communication skills, both written and verbal.
• Effective interpersonal and relationship building skills.
• Good mentorship and coaching ability with desire to develop self and others.
• Adaptable, managing change and ambiguity with ease.
• Sound problem solving ability.

Technical Competencies
• Expert in field with sound industry and business knowledge.
• Demonstrated leadership skills.
• Proven ability to manage and execute projects.
• Excellent report writing skills.
• Sound business acumen.
• Negotiation skills.
• Focus on quality and risk.