JOB DETAILS:
Job Brief
1. Compliance Data Administrator will conduct data input to Borealis Data platform, up to date system with obligations, actions, inspection result.
2. Distribute report to key stakeholders with overall compliance areas etc Responsibilities:
3. Uploading of legal type of requirements into Borealis data platform.
4. Collect checklist from all data providers and synchronize status with system on regular basis.
5. Ensure corrective action was developed promptly for non-compliance items, monitor progress, timely close, collect record and report
6. Conduct regular gap analysis obligation data to ensure no missing items left
7. Collect and maintain different type of data, reports, plans, permits, licenses in department storage or project tool(aconex, etc.) per criteria provided.
8. Liaise with all project area leads to develop reporting dashboards, widgets and customize them for every project area
9. Maintain the overall tracking of the obligation and follow up inspection, actions, records related to project scope
10. Issue status reports to project team per project area in accordance with instructions from delivery manager
11. Provide training for new users of Borealis
12. Regularly check system functionalities work performance, take necessary actions to rectify revealed deficiencies and report to RC Lead or IT team
13. Conduct and participate in all meetings on subject relating to potential non-compliance, compliance reports, expedite implementation of corrective actions, implementation of the obligation.
Qualifications /Experience
1. Minimum 3 years of experience in data analysis role in oil and gas projects, mining or general construction areas.
2. Advance IT skills, including Excel, Word, previous data software experience is plus
3. Excellent presentation and documentation skill to explain and resolve effectively on technical issue to project team within the project.
4. Highly motivated individual who is capable of working independently and participating within a high-profile international team.
Qualified Candidates should send applications to the address indicated below. The application letter should be enclosed with:
• Curriculum Vitae with two referees
• Copies of relevant certificates and awards
• One passport size photograph attached to application letter
Purpose of the role
• The Monitoring, Evaluation and Learning (MEL) Associate is a technical post responsible for ensuring consistent and high quality data collection, and for use and reporting of results across the project. The post holder will ensure the project develop and implement appropriate MEL plans, based on robust logical frameworks, and adhering to Farm Africa’s core standards and approaches
• The MEL Associate will work with the Programme Manager (PM)/Project Coordinator (PC), to ensure management decision making is evidence based. The MEL Associate will work with the Project field team to ensure a clear understanding of the programme’s MEL framework at the field level, with all methods and tools clearly understood and communicated. The post holder will develop appropriate tools, systems and training to support field teams to understand and use robust evidence of project results as a vital input to management decision making. The MEL Associate will provide technical as well as capacity building support to partner organisations; ensure use of relevant Farm Africa standard data collection tools; provide critical analysis and technical input to project evaluation processes, ensuring Farm Africa can maximise the learning potential of all studies and evaluations undertaken within the project
Key tasks and responsibilities
Planning
• Coordinate and facilitate the development and use of appropriate MEL systems and plans for the project, and provide technical guidance and leadership to the programme PM/PCs in implementing them.
• Take responsibility for ensuring the programme’s MEL systems are fully compliant with the donor and Farm Africa’s requirements for reporting results. Ensure project teams are familiar with these requirements.
• At start-up, work with field teams, PM and PCs to ensure that the indicators and targets are SMART, and the methods for collection and analysis are clearly understood and will fulfil reporting requirements at all levels.
• Support PM/PC to ensure that MEL activities are scheduled into the work plan at times that are appropriate to achieving the highest quality data.
• Liaise with the PC/PM to adequately budget for and utilise resources to undertake MEL activities.
• Identify learning questions and plan for data collection to inform them
Implementation
• Coordinate and implement baseline surveys and evaluation exercises.
• Build capacity of field staff and local partner staff on data collection, management, analysis and results-based monitoring principles and ensure understanding of Farm Africa’s core standards and approaches.
• Work to ensure project team are able to disaggregate data by gender and age, where appropriate, by devising and disseminating simple data collection methods.
• Provide a ‘quality assurance’ function to ensure that data reported by all projects is relevant, accurate and verifiable.
• Undertake regular monitoring and assist the PM/PC and team at field level to ensure that project MEL activities are achieved as planned.
• Ensure the project’s log-frame and data collection plans are regularly reviewed and refreshed, and the project is collecting the breadth of indicators required at a frequency and timing in line with reporting purposes.
• Support the PM/PC that the project is keeping to its MEL plan. This involves organising and conducting MEL activities regularly and on time. Activities will include a mix of qualitative and quantitative approaches, including, but not limited to: Household surveys, KIIs, FGDs, community feedback sessions, SME records’ reviews, etc.
• Work closely with relevant staff and other project partners to ensure regular data collection, analysis and reporting.
• Lead on appropriate cleaning, storage, analysis and reporting of all data, including developing case studies and collating photos.
• Support to the PM/PC for adaptive management to ensure data reported by all projects is used for programme management and decision making.
• Participate in project quarterly review meetings. Participate and help facilitate biannual Project Performance Review (PPR) workshops.
Reporting
• Ensure regular and sufficient communication with other Farm Africa projects and staff on overall MEL development and coordinate and cascade any learning that will enhance MEL activities at the Country Office.
• Collate and consolidate data from all partners and field staff - ensuring required quality, and report to the PM/PC with specified deadlines.
• Support the PM/PC in ensuring that reports are informed by the relevant data.
• Ensure that the quarterly project reports have case studies, success stories and lessons learnt so that there is continuous information that will feed into the overall learning process.
• Work with the Regional MEL Team to develop tools and methods for capturing and documenting lessons learned from the programme’s implementation, and ensure that they are shared with the communities, partners and across the organisation.
• Together with the PM/PC participate in monthly project progress review sessions including: in-depth review of financial spend/burn rate; achievement against activity and output plan, and a forward look on whether the project is achieving against its objectives.
PERSON SPECIFICATION
Essential
Education, qualifications & other knowledge
• MSc./MA in numerical/ analytical subject (e.g. statistics, economics, econometrics, research design, applied social science)
Desirable
• Academic qualification relevant to Farm Africa’s areas of operation (i.e. agricultural, rural business management, value chain development)
• Demonstrable knowledge of rural development issues in Tanzania Awareness of broader trends in international
• donor landscape, relating to MEL and results-monitoring Knowledge of value chain development and agricultural practices, policy and enabling environment in Tanzania and East Africa.
Experience
• Demonstrable understanding of monitoring, evaluation and learning principles and practices, including the application of the log frame approachA
• minimum of 3 years proven experience of conducting quantitative and qualitative field research and analysis for large, multi-purpose projects
• Experience in working with data including analysis, and drafting clear written reports/briefingsProven experience in training and capacity building in MEL practices
• Proven experience in training and capacity building in MEL practices