Jan 4, Farsight Africa Group Data Analyst – Research and Data Analytics Jobs in Kenya

Position Summary

The Data Scientist role at Farsight Africa Group is an Analyst level position within the Research and Data Analytics Unit. The Data Analyst will be based in the Nairobi, Kenya office, with a hybrid nature of work requiring at least 50% physical presence in the office. The role involves providing data-driven consulting services to Farsight clients and requires an innovative and analytical thinker to execute data-driven strategies.

Principal Responsibilities

Serve as an analytics expert in designing, developing, and implementing best-in-class analytic solutions.

Create and deliver powerful insights through improved data visualization and storyboarding.

Collaborate with internal and external partners to understand business requirements and desired

outcomes.

Demonstrate proficiency in handling multiple medium-to-large analytics projects within a team

environment.

Draft detailed scopes for assigned projects, addressing methodology and analytics plans.

Execute analytics plans using appropriate data mining and analytical techniques.

Perform quality assurance of data and deliverables for the team’s work and self.

Ensure project documentation is up-to-date and projects are reviewed per analytics plan.

Ensure project delivery within timelines and budget requirements.

Contribute to enhancing the team’s analytical skills and business knowledge.

Promote new methodologies and best practices in the Data Science field.

Provide subject matter expertise and quality assurance for complex data-driven analytic projects.

Qualifications

Post-graduate degree (Masters or PhD preferred) in a Quantitative field.

Professional Experience

Minimum of 3-4 years of analytics expertise in applying statistical solutions to business problems.

Experience in one or more Card Payments markets globally is advantageous.

Good understanding of Payments and Banking Industry, including various payment solutions.

Knowledge of data, market intelligence, business intelligence, and AI-driven tools and technologies.

Experience in planning, organizing, and managing multiple large projects with diverse teams.

Demonstrated ability to incorporate new techniques to solve business problems.

Resource planning and delivery skills.

Technical Expertise

Expertise in distributed computing environments/big data platforms (Hadoop, Elasticsearch, etc.).

Proficiency in common database systems and value stores (SQL, Hive, HBase, etc.).

Strong programming ability in languages like Python, R, Scala, Java, Matlab, C++, and SQL.

Familiarity with solution architecture frameworks, API’s, microservices, and common data modeling approaches.

Ability to build data pipelines using tools such as NiFi, Sqoop, Ab Initio; familiarity with data lineage processes and schema management tools.

Business Experience

Results-oriented with strong problem-solving skills.

Good business acumen with a track record in solving business problems through data-driven quantitative methodologies.

Team-oriented, collaborative, diplomatic, and flexible.Detail-oriented with a focus on maintaining the highest level of quality in reports and data analysis.

Experience in presenting ideas and analysis to stakeholders and tailoring results to various audience levels.

Leadership Competencies

Demonstrates integrity, maturity, and a constructive approach to business challenges.

Role model for showcasing core Farsight Values.

Respects individuals at all levels in the workplace.

Strives for excellence and extraordinary results.

Uses sound insights and judgments to make informed decisions in line with business strategy and needs.

Demonstrates leadership skills in task and resource allocation across multiple lines of businesses and geographies.

Successfully persuades/influences internal stakeholders for building best-in-class solutions.

Exhibits intellectual curiosity and a desire for continuous learning.

How to Apply

Interested candidates should submit their resume, a cover letter, and references to [email protected]

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