3,554 Market Research Firms jobs in Kenya

Position:
Senior Business Analyst (Finance/ERP Focus)

Location:
Remote from EMEA

Contract Type:
Full-time vendor

Time Zone Alignment:
IST GMT+1

About

In All Media is a nearshore managed service provider focused on team augmentation and digital product delivery. We assemble senior, LATAM-based squads from our vetted Coderfull community (500+ engineers) that integrate seamlessly with client teams to deliver software, data, cloud, and AI initiatives with speed and rigor. Our model is community-driven, remote-first, and outcomes-oriented, with long-term partnerships across multiple industries. All contracts are directly with In All Media.

Project Overview

Join a critical transformation initiative for a major global enterprise focusing on optimizing and modernizing core
Finance and Enterprise Resource Planning (ERP)
systems. You will be embedded within the PMO and Product team, acting as the crucial bridge between key business stakeholders (including C-level and regional leads) and the technical development/integration squads. The primary challenge involves streamlining complex financial processes, standardizing data definitions across international business units, and ensuring seamless adoption of an enterprise-grade ERP solution. This role is pivotal in driving the discovery, requirements definition, and quality assurance phases to ensure high-impact delivery.

Key Responsibilities

• Deep Process Analysis: Gain in-depth knowledge of current Finance and business practices through shadowing, interviewing, and maintaining a thorough understanding of the supported departments.
• Requirements Management: Analyze, draft, validate, and finalize comprehensive business and technical requirements (user stories, functional specifications) for ERP integration and process enhancement.
• Quality Assurance & UAT: Develop the User Acceptance Testing (UAT) strategy, create detailed test cases, drive UAT completion, and manage defect resolution proactively.
• Change Impact & Prioritization: Proactively examine the change impact of process adjustments on people, strategy, and systems, informing Program Managers on priority of needs.
• Stakeholder Alignment: Engage with PMO leadership to align efforts with the business area's vision, goals, and strategic initiatives.
• Data & Reporting Support: Fulfill ad hoc and recurring reporting requests, identifying reliable data sources, and supporting Business Intelligence (BI) teams.
• Post-Implementation Review: Monitor and measure the effectiveness of processes post-implementation to ensure continued positive impact and appropriateness for the business.

Must-Have Skills

• 5+ years of professional experience as a Business Analyst in an Agile work environment.
• Finance Domain Expertise: Proven experience working with core financial processes (GL, AP, AR, Budgeting, Reporting, etc.).
• ERP Systems Expertise: Hands-on experience working with or implementing major ERP systems (e.g., Workday (preferred), PeopleSoft, SAP, Microsoft D365).
• Core BA Competencies: Skilled in business process modeling/lifecycle management, developing business cases, creating user stories, functional requirements, and data mapping/modeling.
• Fluent English for all daily written and verbal communication, as you will interact with senior leaders globally.

Nice-to-Have Skills

• Strong knowledge of SQL, dashboard design, KPI tracking, and advanced reporting as a data Subject Matter Expert (SME).
• Experience with workflow and project management tools like Jira, Slack, and Asana.
• Familiarity with system migrations or large-scale transformation projects.
• Recognized for independent judgment and developing diplomatic solutions to complex stakeholder issues.

Language

All interviews, documentation, and day-to-day collaboration will be conducted in
English
.

• Design and execute market research studies, both qualitative and quantitative, to gather consumer data.
• Analyze sales data, market trends, and competitor activities to identify key insights and opportunities.
• Develop comprehensive reports and presentations summarizing findings and providing strategic recommendations to stakeholders.
• Monitor and interpret consumer behavior, preferences, and purchasing patterns for various product categories.
• Collaborate with marketing, R&D, and sales teams to translate insights into actionable business strategies.
• Identify emerging trends and shifts in consumer needs within the FMCG market.
• Manage relationships with external research agencies and vendors.
• Utilize statistical software and data visualization tools to analyze and present complex data.
• Track the performance of marketing campaigns and product launches based on consumer feedback and sales data.
• Contribute to the development of consumer personas and segmentation models.
• Stay abreast of the latest methodologies and technologies in consumer insights and market research.

• Bachelor's degree in Marketing, Statistics, Economics, Business Administration, or a related quantitative field. A Master's degree is a plus.
• 3+ years of experience in consumer insights, market research, or data analysis, preferably within the FMCG sector.
• Proficiency in data analysis tools such as SPSS, R, Python, or similar statistical software.
• Strong experience with market research methodologies (surveys, focus groups, in-depth interviews).
• Excellent data visualization and presentation skills, with the ability to communicate complex findings clearly.
• Strong analytical and problem-solving abilities.
• Familiarity with data analytics platforms and tools.
• Ability to work independently and collaboratively in a hybrid environment.
• Excellent written and verbal communication skills in English.
• Understanding of the Kenyan FMCG market is highly desirable.

• Analyze large datasets related to sales, marketing campaigns, consumer demographics, and supply chain operations within the FMCG industry.
• Develop and maintain dashboards and reports to track key performance indicators (KPIs) and provide real-time insights.
• Identify trends, patterns, and anomalies in data, and provide clear, concise explanations and actionable recommendations.
• Collaborate with cross-functional teams, including marketing, sales, product management, and operations, to understand their data needs and deliver tailored analytical solutions.
• Design and implement A/B tests and other experimental designs to evaluate the effectiveness of marketing initiatives and product changes.
• Build predictive models to forecast sales, demand, and customer lifetime value.
• Ensure data accuracy, integrity, and consistency across all reporting and analytical platforms.
• Stay up-to-date with the latest trends and technologies in data analysis and the FMCG sector.
• Develop and mentor junior analysts, fostering a culture of continuous learning and data-driven decision-making.
• Prepare presentations and reports to communicate findings and recommendations to senior leadership.

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, Business Analytics, or a related quantitative field. Master's degree preferred.
• 5+ years of experience in data analysis, with a significant portion focused on the FMCG industry.
• Proficiency in SQL for data extraction and manipulation.
• Advanced skills in data visualization tools such as Tableau, Power BI, or Looker.
• Experience with statistical programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn) or R.
• Strong understanding of statistical modeling, machine learning techniques, and experimental design.
• Excellent communication and presentation skills, with the ability to explain complex data insights to diverse audiences.
• Proven ability to work independently and manage multiple projects simultaneously in a remote environment.
• Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) is a plus.
• A genuine interest in consumer behavior and market dynamics within the FMCG landscape.

• Conduct comprehensive market research and competitive analysis to identify opportunities and threats for market expansion.
• Analyze economic, political, and social factors impacting market entry feasibility and success.
• Develop detailed market entry strategies, including go-to-market plans, entry modes, and strategic partnerships.
• Assess regulatory environments and compliance requirements in target markets.
• Quantify market potential, revenue forecasts, and financial projections for proposed market entries.
• Collaborate with clients and internal teams to refine strategies and ensure alignment with business objectives.
• Prepare and deliver compelling presentations and reports to senior client stakeholders, clearly articulating findings and recommendations.
• Utilize advanced analytical tools and methodologies to support strategic decision-making.
• Mentor junior analysts and contribute to the firm's knowledge base on emerging markets.

• Master's degree in Business Administration, Economics, International Relations, or a related quantitative field.
• Minimum of 6 years of experience in business analysis, market research, or strategic consulting, with a specific focus on international market entry.
• Proven ability to conduct in-depth market analysis and develop actionable strategies.
• Strong understanding of economic principles, geopolitical landscapes, and international business practices.
• Excellent analytical, quantitative, and problem-solving skills.
• Exceptional written and verbal communication skills, with the ability to present complex information clearly and persuasively.
• Proficiency in data analysis tools and presentation software.
• Ability to work independently and manage projects effectively in a remote setting.
• Demonstrated ability to navigate ambiguity and provide strategic recommendations in complex environments.

• Lead the design and implementation of sophisticated analytical models to extract actionable insights from large, complex datasets (e.g., sales data, customer demographics, market research, social media sentiment).
• Develop predictive models for consumer purchasing patterns, demand forecasting, and market segmentation.
• Utilize machine learning algorithms to identify key drivers of consumer engagement and loyalty.
• Collaborate closely with cross-functional teams, including Marketing, Product Development, and Sales, to translate data insights into strategic business recommendations.
• Mentor and guide junior data scientists and analysts, fostering a culture of continuous learning and innovation.
• Define key performance indicators (KPIs) and develop dashboards for monitoring consumer trends and campaign effectiveness.
• Stay abreast of the latest advancements in data science, machine learning, and AI, and evaluate their applicability to FMCG challenges.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders through compelling visualizations and presentations.
• Ensure data quality, integrity, and governance throughout the analytical process.
• Design and analyze A/B tests and other experiments to evaluate product and marketing initiatives.
• Build robust data pipelines for efficient data processing and analysis.
• Contribute to the development of data-driven decision-making frameworks across the organization.

• Master's or Ph.D. in Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• 7+ years of experience in data science, with a proven track record in the FMCG industry or a related consumer-focused domain.
• Expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, deep learning), and data mining.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas, NumPy).
• Strong SQL skills and experience with big data technologies (e.g., Spark, Hadoop).
• Excellent data visualization skills (e.g., Tableau, Power BI, Matplotlib, Seaborn).
• Demonstrated ability to lead projects and mentor teams in a remote setting.
• Exceptional analytical and problem-solving abilities, with a keen eye for detail.
• Strong communication and presentation skills, with the ability to articulate complex technical concepts to diverse audiences.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

• Collect, clean, and analyze large datasets related to consumer behavior, market trends, sales performance, and product lifecycle within the FMCG industry.
• Develop and implement advanced statistical models and machine learning algorithms to forecast demand, identify market opportunities, and optimize pricing strategies.
• Create insightful dashboards and reports using BI tools (e.g., Tableau, Power BI) to visualize key performance indicators and trends for diverse stakeholders.
• Translate complex data findings into clear, concise, and actionable recommendations for marketing, sales, product management, and executive teams.
• Collaborate with cross-functional teams to define data requirements and support the development of data-driven initiatives.
• Conduct A/B testing and analyze campaign performance to optimize marketing spend and promotional activities.
• Identify inefficiencies and recommend process improvements for data collection, analysis, and reporting.
• Stay current with industry best practices and emerging technologies in data analytics and the FMCG sector.
• Mentor junior analysts and contribute to the overall growth of the data analytics function within the organization.
• Present findings and insights to senior management, effectively communicating the business implications of data analysis.

• Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 5 years of professional experience in data analysis, with a significant focus on the FMCG industry.
• Proficiency in SQL for data extraction and manipulation.
• Expertise in statistical programming languages such as Python or R.
• Experience with data visualization tools like Tableau, Power BI, or Looker.
• Strong understanding of statistical modeling, regression analysis, forecasting, and machine learning techniques.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
• Experience working in a remote team environment is a plus.
• Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) is advantageous.

• Develop and execute comprehensive brand strategies that drive market share and consumer engagement.
• Conduct in-depth market research and consumer analysis to identify trends, opportunities, and potential threats.
• Utilize qualitative and quantitative data to derive actionable insights that inform product development, marketing campaigns, and promotional activities.
• Collaborate closely with cross-functional teams, including marketing, sales, product development, and research, to ensure alignment and seamless execution of brand plans.
• Manage brand budgets, track performance metrics, and provide regular reports on brand health and campaign effectiveness.
• Lead the development of new product launches and revitalization strategies for existing product lines.
• Foster strong relationships with external agencies and partners to maximize brand visibility and impact.
• Mentor and guide junior members of the brand team, promoting a culture of continuous learning and improvement.

• Bachelor's degree in Marketing, Business Administration, or a related field. A Master's degree is a plus.
• Minimum of 5-7 years of progressive experience in brand management, preferably within the FMCG industry.
• Proven track record of developing and executing successful brand strategies that have driven significant business growth.
• Exceptional analytical skills with the ability to interpret complex data and translate it into clear, actionable recommendations.
• Strong understanding of market research methodologies and consumer insights generation.
• Excellent communication, presentation, and interpersonal skills, with the ability to influence stakeholders at all levels.
• Proficiency in project management and a demonstrated ability to manage multiple priorities in a fast-paced, remote environment.
• A proactive, self-starter attitude with a strong sense of ownership and accountability.
• Familiarity with digital marketing principles and social media engagement strategies is advantageous.

• Develop and deploy advanced predictive models for sales forecasting, customer segmentation, and churn prediction.
• Design and implement A/B testing frameworks for marketing campaigns and product launches.
• Analyze large-scale datasets from various sources, including sales, marketing, social media, and consumer surveys.
• Identify key performance indicators (KPIs) and create dashboards for monitoring business performance and trends.
• Collaborate with engineering teams to ensure data quality and accessibility for analytical purposes.
• Mentor and guide junior data scientists and analysts, fostering a data-driven culture.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
• Stay current with the latest developments in data science, machine learning, and big data technologies.
• Drive innovation in analytical approaches and methodologies within the FMCG domain.

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• 5+ years of experience in data science, with a significant portion focused on the FMCG industry.
• Demonstrated expertise in statistical modeling, machine learning algorithms (regression, classification, clustering, deep learning), and time series analysis.
• Proficiency in programming languages such as Python or R, and experience with SQL.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (e.g., AWS, Azure, GCP).
• Strong understanding of data visualization tools (e.g., Tableau, Power BI).
• Excellent problem-solving skills and the ability to translate business problems into data science solutions.
• Proven leadership and team management experience.
• Exceptional communication and presentation skills.

• Analyze supply chain data to identify trends, bottlenecks, and areas for improvement.
• Develop and implement strategies for inventory optimization and demand forecasting.
• Monitor and manage logistics operations, including transportation and warehousing.
• Evaluate and improve supplier performance and relationships.
• Create and present regular reports on supply chain KPIs.
• Identify opportunities to reduce costs and enhance efficiency throughout the supply chain.
• Collaborate with cross-functional teams (procurement, sales, operations) to ensure seamless execution.
• Utilize supply chain management software and data analytics tools.
• Develop and maintain documentation for supply chain processes.
• Stay informed about industry best practices and emerging supply chain technologies.

• Bachelor's degree in Supply Chain Management, Logistics, Business Administration, or a related field.
• Minimum of 3 years of experience in supply chain analysis, preferably within the FMCG sector.
• Strong analytical and quantitative skills.
• Proficiency in supply chain software and advanced Excel skills.
• Experience with data visualization tools is a plus.
• Excellent problem-solving abilities.
• Strong communication and interpersonal skills.
• Ability to work independently and manage time effectively in a remote environment.
• Knowledge of inventory management, logistics, and demand planning principles.