199 Management Analyst jobs in Kenya

• Conduct comprehensive organizational assessments, including operational efficiency, financial performance, and market positioning.
• Analyze business processes, identify bottlenecks, and recommend solutions for process improvement.
• Develop strategic plans and business models to support client growth objectives.
• Prepare detailed reports, presentations, and proposals for clients.
• Facilitate workshops and meetings with clients to gather data and present findings.
• Utilize data analysis tools and techniques to derive insights and support decision-making.
• Monitor project progress and ensure timely delivery of client deliverables.
• Stay updated on industry best practices and emerging business trends.
• Collaborate with cross-functional teams to deliver integrated solutions.
• Provide guidance and mentorship to junior analysts.

• Master's degree in Business Administration, Management, Finance, or a related field.
• Minimum of 6 years of experience in management analysis, business consulting, or a similar analytical role.
• Proven experience in conducting business assessments and developing strategic recommendations.
• Strong analytical, problem-solving, and quantitative skills.
• Excellent communication, presentation, and interpersonal skills.
• Proficiency in data analysis software (e.g., Excel, SPSS) and presentation tools.
• Ability to manage multiple projects and meet deadlines in a client-facing environment.
• Understanding of various business functions and industry best practices.
• High level of integrity and professionalism.

• Conduct comprehensive analyses of organizational structures, workflows, and business processes to identify inefficiencies and areas for enhancement.
• Develop and implement key performance indicators (KPIs) to measure operational success and identify areas for improvement.
• Prepare detailed reports and presentations summarizing findings, insights, and actionable recommendations for senior management.
• Collaborate with department heads and stakeholders to gather data, understand challenges, and implement proposed solutions.
• Design and conduct surveys, interviews, and workshops to collect qualitative and quantitative data.
• Analyze market trends, competitor activities, and industry best practices to inform strategic decision-making.
• Develop financial models and cost-benefit analyses to support strategic initiatives and investment decisions.
• Facilitate strategic planning sessions and assist in the development of long-term organizational goals.
• Monitor the implementation of strategic initiatives and provide ongoing support and adjustments as needed.
• Stay abreast of best practices in management analysis, organizational development, and strategic planning.

• Master's degree in Business Administration, Management, Finance, Economics, or a related field.
• Minimum of 6 years of progressive experience in management consulting, business analysis, or strategic planning roles.
• Proven ability to conduct complex data analysis, financial modeling, and business process mapping.
• Strong understanding of organizational design, strategic frameworks, and performance management methodologies.
• Exceptional analytical, problem-solving, and critical thinking skills.
• Excellent written and verbal communication skills, with the ability to present complex information clearly and concisely.
• Proficiency in data analysis tools (e.g., Excel, SQL, Tableau) and project management software.
• Ability to work effectively with diverse teams and stakeholders at all organizational levels.
• Strong attention to detail and commitment to producing high-quality work.
• Demonstrated experience in driving organizational change and improvement initiatives.

JOB TITLE: RETURNABLE DISTRIBUTOR MANAGEMENT ANALYST

About This Job:

Q-Sourcing Limited trading as Q-Sourcing Servtec is a man power management solutions firm operating in the East African Region in the countries of Uganda, Kenya, Tanzania, Rwanda, and South Sudan.

On behalf of our client, we are looking for a competent, skilled, and experienced Returnable Distributor Management Analyst to work in Nairobi, Kenya

Job Summary:

The role is to support the organisation in saving Costs on Mop up by aligning with the distributors to enhance on 1:1 return of both barrels and glass empties.

DUTIES & RESPONSIBILITIES:

·    Prepare daily mop up status at 12pm 3pm & 5pm.

KNOWLEDGE, SKILLS, AND EXPERIENCE:

·    A Bachelor Degree

·    SAP knowledge

·    Advanced Excel skills

·    Experience of formalised performance management and reporting

·    Good communication skills

·    Good Customer relation.

Interested and qualified applicants should submit their applications through the link below.

Note:

Only shortlisted applicants will be contacted.

Q-SOURCING SERVTEC IS AN EQUAL OPPORTUNITY EMPLOYER. ANY SOLICITATION WILL LEAD TO DISQUALIFICATION.

·    A Bachelor Degree

·    SAP knowledge

·    Advanced Excel skills

·    Experience of formalized performance management and reporting

·    Good communication skills

·    Good Customer relation.

• Acquire, process, and interpret 2D and 3D seismic data for exploration and development projects.
• Utilize advanced geophysical software (e.g., Petrel, OpendTect) for data analysis and interpretation.
• Develop seismic interpretation workflows and quality control procedures.
• Integrate seismic data with other geological and engineering data (well logs, core data, production data).
• Identify and delineate potential hydrocarbon reservoirs and prospects.
• Perform seismic attribute analysis, velocity modeling, and seismic inversion.
• Collaborate with geologists and reservoir engineers to build integrated subsurface models.
• Prepare technical reports and presentations for management and joint venture partners.
• Provide geophysical support for drilling operations and well planning.
• Stay abreast of new geophysical technologies and methodologies.

• Master's or Ph.D. degree in Geophysics, Geology, or a related Earth Science discipline.
• Minimum of 5 years of experience in geophysical exploration, with a focus on seismic data interpretation.
• Proficiency in seismic data processing and interpretation software.
• Strong understanding of seismic acquisition techniques and data quality assessment.
• Experience with basin analysis and structural geology.
• Excellent analytical and problem-solving skills.
• Ability to work effectively in a multidisciplinary team environment.
• Strong written and verbal communication skills.
• Familiarity with Kenyan geological settings and basins is an advantage.
• Willingness to work on-site in Nakuru.

• Assist in the collection, cleaning, and organization of large datasets.
• Perform exploratory data analysis to identify trends and patterns.
• Support the development and implementation of data models and algorithms.
• Create data visualizations and reports to communicate findings.
• Collaborate with senior analysts on data-related projects.
• Learn and apply various data analysis techniques and tools.
• Contribute to maintaining data integrity and accuracy.
• Participate in team meetings and provide insights during discussions.

• Recent graduate with a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong analytical and quantitative skills.
• Proficiency in at least one programming language (e.g., Python, R).
• Familiarity with SQL and database concepts.
• Basic understanding of data visualization tools (e.g., Tableau, Power BI).
• Excellent problem-solving abilities and attention to detail.
• Strong communication and teamwork skills.
• Eagerness to learn and adapt in a remote work environment.

• Assist in the collection, cleaning, and organization of data from various sources.
• Perform basic statistical analyses to identify trends, patterns, and anomalies.
• Help in the creation of data visualizations and reports to communicate findings.
• Support senior analysts in data-driven decision-making processes.
• Learn and apply data analysis tools and methodologies.
• Contribute to projects focused on improving data quality and accessibility.
• Participate in team meetings and brainstorming sessions.
• Develop foundational skills in data interpretation and business intelligence.
• Assist with ad-hoc data requests and analysis.
• Gain exposure to different business functions through data projects.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
• Strong analytical and problem-solving abilities.
• Attention to detail and accuracy in data handling.
• Proficiency in Microsoft Excel.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) or statistical software (R, Python) is a plus.
• Eagerness to learn and develop new skills in data analysis.
• Ability to work effectively in a team environment.

• Assist senior data analysts in collecting, cleaning, and organizing datasets from various sources.
• Perform data analysis using statistical methods and tools to identify trends and patterns.
• Help create and maintain reports and interactive dashboards for business stakeholders.
• Support the development of data models and visualizations.
• Conduct quality assurance checks on data to ensure accuracy and integrity.
• Learn and apply various data analysis techniques and software.
• Collaborate with team members in a virtual environment to contribute to project goals.
• Assist in documenting data processes and findings.
• Participate in training sessions and team meetings to enhance skills and knowledge.
• Contribute to ad-hoc data analysis requests as needed.

• Recent graduate with a Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Strong understanding of statistical concepts and analytical techniques.
• Familiarity with data analysis tools and programming languages such as Python (Pandas, NumPy) or R is a plus.
• Knowledge of SQL for data retrieval and manipulation is advantageous.
• Excellent analytical and problem-solving skills.
• Meticulous attention to detail and commitment to data accuracy.
• Good communication and collaboration skills.
• Ability to work independently and manage time effectively in a remote setting.
• Eagerness to learn and adapt to new technologies and methodologies.
• Genuine interest in data analysis and its application in business.