Job Title: Data Analyst
Hiring Organization: Boma
Location – Locality: Nairobi
Location – Region: Kenya
Industry: Non
Profit Organisation
Job Type: Full
Time
Salary: KES
Competitive
Date Posted: 03/30/2024
Job Summary
The Data
Analyst define user reporting needs, data requirements, storage and management
and undertake the required analysis and visualization across functions in BOMA
based on the defined requirements and frameworks. They will work closely with
specific functions in BOMA to identify, specify, acquire, maintain, and
optimally use data to drive business/ program insights. He/She will facilitate
the development and documentation of requirements, design and development of
solutions to those requirements and training and championing the use of the
solution to entrench data driven operations and decision making in BOMA.
Key
Responsibilities
- Exploration,
testing and deployment of intelligent data management tools – Artificial
intelligence and machine learning.
- Drive
progressive change in data literacy and use within BOMA.
- Data
Consolidation and Reporting
- Conducting
analysis of current and historical program data to identify trends that
inform implementation choices.
- Interpret
and provide insight from the analysis done and enable the business/
program decision making.
- Working
jointly with the M&E teams, assist in the development and maintenance
of a Standard Data Management Manual and oversee its organizational
implementation including DQA protocol.
- Development
of M&E reporting templates and other Standardized tools to enhance
monitoring and reporting.
- Working
jointly with the M&E teams, assist in the development/reviewing of
survey manuals and Standard Operating Procedures (SOPs) for existing and
new data collection tools.
- Reviewing
quality of data sent by enumerators/FOs/M&E Officers and timely
reporting to the supervisor on any issues that need to be addressed
(Anomalies & irregularities).
- Technical
Set Up of Data Management Infrastructure and Tools
- Configuration
of databases for the storage and management of data.
- Configuration
of data pipelines and/or Extracting, Transforming and Loading (ETLs) from
data sources to the consolidated database. This includes the management of
the configured pipelines.
- Set
up and use of data visualization tools. This includes the development of
reports, visualizations to answer specific business questions and
requirements.
- Set
up and application/ use of data intelligence to improve the value of data
to the business decision making – application AI to current and future
data.
- Training,
Capacity Building and Technology Support
- Identify
technology issues that Enumerators/Field Officers/M&E Officers may
have and that may be causing difficulties/ inefficiencies in the data
collection processes and recommend and/or execute actions to address in
consultation with IT.
- Actively
seek and log all M&E and Technology challenges the field teams
including the cluster office teams are experiencing for resolution.
- Play
a central coordinating role in the reporting and resolution of M&E and
Technology issues in the field office.
- Provide
the first level support for both M&E and Technology issues including
hardware and software.
- Analyze,
compile, process and present data in a structure that can easily be
understood.
- Assisting
in use of program generated data to identify program gaps and trends to
improve quality of delivery and respond to current needs.
- Capacity
Building of Field M&E team and other Field Program Staff on data
collection, analysis and management. Also train them on existing M&E
analysis and monitoring templates and technologies supporting M&E.
- Program
Innovation
- Innovating
new ways to visualize data in form of dashboards/charts and in accordance
to agreed Key Performance Indicators (KPI) to aid in data for decision
making.
- Preparing
management and user reports based on outcome of the surveys and donor
reports as requested.
Educational
Requirements
- Bachelor
of Science required in, Information systems, Business Information
Technology, statistics, business, development economics, business/project
management, or similar.
- A
postgraduate IT Certification where the first degree is none technical
will be an added advantage.
- Required
Qualifications
- At
least 2-3 years’ experience as a Data Analyst
- Proficiency
in Microsoft desktop technologies, Salesforce, Data analytics and
visualization tools and technologies such as Microsoft Power BI, STATA,
and digital data collection.
- Proficiency
and interest in data analytics programming languages (Python, SQL, R,
JavaScript)
- Practical
understanding and experience of Databases, data pipelines, ETL pipeline
and data warehouses.
- Naturally
curious and analytical; able to sort through extensive data and craft
hypotheses.
- Strong
writing skills with experience preparing reports and technical documents.
- Hand-on
experience on use of data visualization tools (Tableau and Power BI)
- Strong
organizational, communication and writing skills.
- Ability
to multi-task and adhere to project timelines.
Qualifications
- Database
management and programming languages such as SQL, Python, PHP, C#, R
- Experience
using electronic data collection platforms such as Taroworks or ODK.
- Experience
using Salesforce.
- Experience
using GIS systems.
