810 Consumer Insights jobs in Kenya
Remote Market Analyst, Consumer Insights
Posted 19 days ago
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Key Responsibilities:
- Conduct in-depth market research and analysis for the FMCG sector.
- Monitor and analyze consumer trends, purchasing patterns, and competitive activities.
- Develop and present insightful market reports and presentations to key stakeholders.
- Utilize various data sources to identify new market opportunities and potential risks.
- Support product development and marketing teams with data-driven recommendations.
- Track and forecast market performance and sales trends.
- Maintain and update market intelligence databases.
- Collaborate effectively with remote cross-functional teams.
- Bachelor's degree in Marketing, Business, Economics, Statistics, or a related quantitative field.
- Proven experience in market research or business analysis, preferably within the FMCG industry.
- Strong analytical skills with proficiency in data analysis tools (e.g., Excel, SPSS, R, Python).
- Excellent understanding of market research methodologies and data visualization techniques.
- Exceptional written and verbal communication skills, with the ability to present complex information clearly.
- Self-starter with strong organizational and time management skills, capable of working independently.
- Experience with syndicated data sources (e.g., Nielsen, IRI) is a plus.
- Demonstrated ability to thrive in a remote work setting.
Consumer Insights Analyst (FMCG)
Posted 19 days ago
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Job Description
Responsibilities:
- 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.
Qualifications:
- 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.
This hybrid role is based in Malindi, Kilifi, KE , offering flexibility and regular opportunities for in-person collaboration.
Lead Data Scientist - Consumer Insights
Posted 19 days ago
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Job Description
Responsibilities:
- 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.
Qualifications:
- 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.
Senior Brand Manager, Consumer Insights
Posted 19 days ago
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Key Responsibilities:
- 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.
Remote Senior Data Analyst - FMCG Insights
Posted 19 days ago
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Job Description
Responsibilities:
- 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.
Remote Lead Data Scientist - FMCG Insights
Posted 3 days ago
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Job Description
As the Lead Data Scientist, you will be responsible for designing and implementing sophisticated analytical models, utilizing machine learning and statistical techniques to uncover hidden patterns and predict consumer behavior. You will work closely with product managers, marketing teams, and business stakeholders to translate complex data findings into clear, compelling recommendations. This position requires a strong blend of technical prowess, business acumen, and leadership skills to guide a team of data analysts and scientists.
Key Responsibilities:
- 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.
Qualifications:
- 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.
This is a unique chance to make a significant impact on a growing company, working remotely with a passionate team. Your insights will directly influence business strategy and success in the competitive FMCG landscape.
Head of Digital Marketing Strategy
Posted 19 days ago
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