Data Analytics Intern

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Company Details
Industry: Professional Training & Coaching
Description: Kenya Association of Manufacturers is the representative organisation for manufacturing value-add industries in Kenya. Established in 1959 as a private sector body, KAM has evolved into a dynamic, vibrant, credible and respected business association that unites industrialists and offers a common voice for businesses. KAM provides an essential link for co-operation, dialogue and understanding with the Government by representing the views and concerns of its members to the relevant authorities. In pursuit of its core mandate of policy advocacy, KAM promotes trade and investment, upholds standards, encourages the formulation, enactment and administration of sound policies that facilitate a competitive business environment and reduce the cost of doing business. In 2009, KAM unveiled a new corporate image as it observed 50 years since its establishment. Mission To promote competitive and sustainable local manufacturing. Vision To be a World-class BMO that effectively delivers services to its members Goal To transform KAM into a sustainable member-focused association delivering relevant, quality, timely and effective services to its members Values KAM has 6 values that are the key drivers of its corporate culture. These are Responsiveness, Integrity, Innovation, Inclusiveness, Teamwork and Excellence Purpose To create wealth at both corporate and individual levels by advocating for a competitive environment for businesses to operate, thereby creating better industries, growing the economy, creating jobs and hence resulting in better standards of living for Kenyans. Strategic Objectives Driving industrial growth and realization of 15% contribution of manufacturing sector to GDP by 2019 Supporting skills-based job creation agenda and increase manufacturing sector jobs by 33% Enhancing market access for products, locally and globally to grow exports by 33% by 2019 Retaining and recruiting a broad membership base Operational excellence
Job Description

Job Purpose:

 

Kenya Association of Manufacturers (KAM) carries out fact-based research advocacy on behalf of its members. To unleash the power of data science in transforming advocacy and policy making, KAM is seeking a passionate and skilled Data Scientist to join our policy advocacy team as an intern. The ideal candidate will leverage data analytics, machine learning, and artificial intelligence, statistical modeling to drive insights that support advocacy efforts. This role involves working closely with Policy, and Regulatory Advocacy team to transform complex data into actionable insights that influence policy for the benefit of KAM Members.

 

Duties and Responsibilities

 

The specific duties and responsibilities will include, but are not limited to the following: -

 

Develop and apply data-driven methodologies to support advocacy campaigns and policy initiatives.

 

Collect, clean, and analyze large datasets from various sources, including surveys, social media and public records and other relevant secondary data sources.

 

Utilize statistical and machine learning models to identify trends, correlations, and impact metrics.

 

Design and build dashboards, reports, and visualizations to communicate findings effectively to diverse stakeholders.

 

Collaborate with cross-functional teams within the Policy and Regulatory Advocacy.

 

Provide quantifiable metrics for measuring the impact of advocacy campaign.

 

Conduct sentiment analysis, predictive modeling, and network analysis to enhance advocacy strategies.

 

Stay up to date with advancements in data science and analytics, ensuring the use of best practices.

 

Present findings in a clear and compelling manner to both technical and non-technical audiences.

 

Perform any other duties as may be assigned by the Chief Executive from time to time

 

Qualifications:

 

Bachelor’s degree in Data Science.

 

2+ years of experience in data science, analytics, or a related field, preferably in advocacy or public policy.

 

Proficiency in Python, R, SQL, or other data analysis tools.

 

Experience with data visualization tools such as Tableau, Power BI, or D3.js.

 

Strong knowledge of statistical methods, machine learning techniques, and natural language processing.

 

Familiarity with web scraping, APIs, and data pipeline development.

 

Ability to interpret complex data and translate insights into strategic recommendations.

 

Excellent communication skills and ability to work in a multidisciplinary team.

 

Personal attributes:

 

Effective organizational skills, team player, keen attention to detail, and multitasking ability.

 

The ability to work as part of a team and on your initiative

 

 

 

Education: Degree, Diploma
Employment Type: Contract Based
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