60 Consumer Insights jobs in Kenya
Remote FMCG Brand Manager - Consumer Insights Lead
Posted 3 days ago
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Job Description
As a Brand Manager, you will be at the forefront of understanding consumer behavior, market trends, and competitive landscapes within the FMCG industry. Your primary responsibility will be to translate these insights into actionable brand strategies that drive growth, market share, and consumer engagement for our client's product portfolio. You will develop and execute comprehensive marketing plans, including digital campaigns, content creation, and social media engagement, ensuring consistent brand messaging across all touchpoints.
This role requires a deep understanding of market research methodologies, both qualitative and quantitative. You will be responsible for designing and overseeing consumer research projects, analyzing data, and presenting key findings and recommendations to senior leadership. Building strong relationships with cross-functional teams, including sales, product development, and supply chain, will be crucial for success.
We are looking for an individual with a passion for brands and a proven ability to develop creative and effective marketing campaigns. Excellent analytical skills, strategic thinking, and a keen eye for detail are essential. The ideal candidate will have experience in managing brand budgets, measuring campaign effectiveness, and adapting strategies based on performance data. This is a remote-first opportunity, allowing you to collaborate seamlessly with a dispersed team.
Key Responsibilities:
- Develop and implement integrated brand strategies aligned with company objectives.
- Conduct in-depth consumer research and market analysis to identify growth opportunities.
- Manage the brand's marketing budget and ensure ROI on all initiatives.
- Oversee the creation of marketing collateral, advertising campaigns, and digital content.
- Monitor brand performance, market trends, and competitor activities.
- Collaborate with sales and product teams to ensure alignment and execution.
- Present insights and strategic recommendations to senior management.
Requirements:
- Bachelor's degree in Marketing, Business Administration, or a related field.
- 3-5 years of experience in brand management within the FMCG sector.
- Proven track record of successful brand campaigns and market growth.
- Strong analytical and quantitative skills with proficiency in market research tools.
- Excellent communication, presentation, and interpersonal skills.
- Ability to work independently and as part of a remote team.
- Proficiency in digital marketing platforms and social media management.
This is a fantastic opportunity to shape the future of popular consumer brands from the comfort of your home office.
Senior Data Scientist - Customer Insights (Remote)
Posted today
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Your responsibilities will include collecting, cleaning, and analyzing large datasets from various sources, building predictive models, and developing customer segmentation strategies. You will translate complex data findings into actionable insights and communicate them effectively to business stakeholders through visualizations and reports. We are looking for a proactive individual with a proven track record of applying data science techniques to solve business problems, especially in customer-focused roles. You should be proficient in programming languages such as Python or R and have experience with data visualization tools and big data technologies. The ideal candidate possesses excellent critical thinking, problem-solving skills, and a passion for driving business growth through data.
Responsibilities:
- Analyze customer data to identify patterns, trends, and insights.
- Develop and implement predictive models for customer behavior, churn, and lifetime value.
- Perform customer segmentation and profiling.
- Design and conduct A/B tests and other experiments.
- Create compelling data visualizations and dashboards to communicate findings.
- Collaborate with marketing, product, and sales teams to drive data-driven strategies.
- Develop and maintain data pipelines and ETL processes.
- Stay current with advancements in data science, machine learning, and analytics tools.
- Mentor junior data analysts and scientists.
- Contribute to the development of the company's data strategy.
- Master's or Ph.D. in Statistics, Data Science, Computer Science, or a related quantitative field.
- Minimum of 6 years of experience in data science or advanced analytics.
- Proven experience in customer analytics, segmentation, and predictive modeling.
- Strong proficiency in Python or R, including relevant data science libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow).
- Experience with SQL and working with large datasets.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) and big data technologies (e.g., Spark, Hadoop).
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong written and verbal communication skills.
- Ability to translate technical findings into business recommendations.
Geophysicist - Seismic Data Analysis
Posted today
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Key Responsibilities:
- 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.
Qualifications:
- 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.
Join a company at the forefront of energy innovation and contribute to vital exploration efforts.
Graduate Trainee - Data Analysis
Posted 1 day ago
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Job Description
Responsibilities:
- 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.
Remote Geologist - Data Analysis
Posted 2 days ago
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Graduate Trainee - Data Analysis
Posted 2 days ago
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Job Description
Key Responsibilities:
- 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.
Graduate Trainee - Data Analysis
Posted 3 days ago
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Job Description
Responsibilities:
- 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.
Qualifications:
- 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.
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Graduate Trainee - Data Analysis
Posted 4 days ago
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Remote Geologist - Data Analysis
Posted 4 days ago
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Graduate Trainee - Data Analysis
Posted 5 days ago
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