Job Title: Data Analyst
Organization: Asili
Farms Ltd
Duty Station: Uganda
About US:
Asili Farms is a
fully-mechanized farming company that manages dual-season production of high
quality maize and soybeans for supply to regional food processors. Asili became
operational in January 2014 and is currently farming on over 5,000 ha of land
in Western Uganda under a conservation agriculture and precision farming
approach to maximize yields efficiently and sustainably. .
Key Duties and
Responsibilities:
·
Prepares
source data for computer entry by compiling and sorting information;
establishing entry priorities.
·
Reviewing
data for deficiencies; resolving discrepancies by using standard procedures or
returning incomplete documents to responsible parties for resolution.
·
Maintains
data entry requirements by following data program techniques and procedures.
·
Verifies
entered data by reviewing, correcting, deleting, or re-entering data; combining
data from both systems when account information is incomplete; purging files to
eliminate duplication of data.
·
Secures
information by completing data base backups.
·
Maintains
operations by following policies and procedures; reporting needed changes.
·
Maintains
confidence and protects operations by keeping information confidential.
·
Contributes
to team effort by accomplishing related results as needed.
·
Making
daily reports about the completed work Vs the set targets
·
Compiling
daily work-plans for the different teams
·
Perform
any other related work assigned by the authority.
Qualifications, Skills and Experience:
·
The
applicant should preferably hold a Degree in Computer Science, ICT, Statistics,
Information Systems, Quantitative Economics or any other related field
·
Computer
operation skills in database maintenance
·
Good
interpersonal skills.
·
Communication
skills
·
Experience
in Geographical Information Systems will be an added advantage
How to Apply:
All suitably
qualified and interested candidates should send their updated CVs, academic
documents and three references AS ONE PDF DOCUMENT to
[email protected]
Deadline: 27th November 2020
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