What Jobs are available for Sales Data in Kenya?
Showing 2613 Sales Data jobs in Kenya
Junior Data Analyst - E-commerce Analytics
Posted 27 days ago
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Job Description
Our client is seeking an enthusiastic and detail-oriented Junior Data Analyst to join their fast-paced, fully remote e-commerce analytics team. This is an excellent opportunity for a recent graduate or early-career professional to gain hands-on experience in analyzing large datasets, identifying trends, and providing insights that drive business decisions. You will work closely with senior analysts and cross-functional teams to support various analytical projects, focusing on customer behavior, sales performance, and marketing effectiveness. The ideal candidate demonstrates strong analytical aptitude, proficiency in data manipulation tools, and a keen interest in e-commerce and data science.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and organizing data from various e-commerce platforms and sources.
- Perform basic data analysis to identify trends, patterns, and anomalies in customer behavior, sales, and marketing campaigns.
- Develop reports and dashboards to visualize key performance indicators (KPIs) and present findings to the team.
- Support senior analysts in conducting in-depth analyses and contributing to strategic recommendations.
- Help monitor website analytics and user engagement metrics.
- Learn and apply statistical techniques and data analysis methodologies.
- Collaborate with team members on data-related projects and tasks.
- Ensure data accuracy and integrity in all analytical processes.
- Assist in the preparation of presentations and documentation of analytical findings.
- Stay curious and eager to learn new data analysis tools and techniques.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Business Analytics, or a related quantitative field.
- Strong foundational knowledge of statistical concepts and data analysis principles.
- Proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets) with the ability to perform complex functions and pivot tables.
- Basic understanding of database concepts and SQL is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is desirable.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong attention to detail and commitment to data accuracy.
- Effective written and verbal communication skills.
- Ability to work independently and as part of a remote team.
- Eagerness to learn and adapt in a dynamic environment.
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Remote Junior Data Analyst - E-commerce Analytics
Posted today
Job Viewed
Job Description
Our client is seeking an enthusiastic and detail-oriented Junior Data Analyst to join their growing e-commerce team. This is a fully remote internship, providing invaluable experience in analyzing online sales data and identifying key trends. You will work closely with the marketing and analytics teams to support data-driven decision-making. The ideal candidate is eager to learn, possesses strong analytical skills, and has a foundational understanding of data analysis tools and techniques. This internship is designed to offer hands-on experience and mentorship in a dynamic, remote work environment.
Responsibilities:
Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets related to e-commerce sales, website traffic, and customer behavior.
- Perform basic data analysis to identify trends, patterns, and insights related to product performance, marketing campaigns, and customer segmentation.
- Generate reports and visualizations to communicate findings to the team.
- Support the analytics team in tracking key performance indicators (KPIs) for e-commerce operations.
- Learn and apply various data analysis techniques and tools.
- Contribute to ad-hoc data requests and projects as needed.
- Maintain data integrity and ensure accuracy in reporting.
- Collaborate with team members in a remote setting, participating in virtual meetings and discussions.
- Assist in documenting data analysis processes and methodologies.
- Gain practical experience in the e-commerce industry and data analytics field.
- Currently pursuing or recently completed a Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Foundational understanding of statistical concepts and data analysis principles.
- Familiarity with data analysis tools such as Excel, SQL, or basic programming languages (Python/R) is a plus.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Good written and verbal communication skills.
- Ability to work independently and manage time effectively in a remote environment.
- Eagerness to learn and adapt to new technologies and methodologies.
- A passion for data and its application in business contexts.
- Prior experience with e-commerce data is a bonus but not required.
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Senior E-commerce Data Analyst
Posted today
Job Viewed
Job Description
Our client, a rapidly growing online retail platform, is seeking an experienced Senior E-commerce Data Analyst to join their fully remote analytics team. This position offers a unique opportunity to influence business strategy through deep insights derived from vast datasets. You will be instrumental in understanding customer behavior, optimizing marketing campaigns, enhancing user experience, and driving sales growth across our digital channels. As a remote-first organization, we champion a collaborative and communicative culture, ensuring seamless integration regardless of physical location.
Responsibilities:
Qualifications:
Responsibilities:
- Collect, clean, and analyze large volumes of e-commerce data from various sources, including website analytics, sales data, CRM, and marketing platforms.
- Develop and implement A/B testing strategies to optimize website performance, conversion rates, and customer journeys.
- Create comprehensive dashboards and reports using BI tools (e.g., Tableau, Power BI) to visualize key performance indicators (KPIs) and trends.
- Identify key drivers of customer acquisition, retention, and lifetime value.
- Provide actionable recommendations to marketing, product, and sales teams based on data-driven insights.
- Monitor market trends and competitor activities to identify new opportunities and potential threats.
- Develop predictive models for customer behavior, sales forecasting, and inventory management.
- Collaborate with cross-functional teams to define data requirements and ensure data integrity.
- Present complex analytical findings to stakeholders in a clear, concise, and compelling manner.
- Mentor junior analysts and contribute to the development of data best practices within the organization.
- Conduct deep-dive analyses into specific areas such as product performance, promotional effectiveness, and customer segmentation.
- Ensure data accuracy and consistency across all reporting and analytical outputs.
Qualifications:
- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- 5+ years of experience in data analysis, with a significant focus on e-commerce or digital marketing.
- Proficiency in SQL for data extraction and manipulation.
- Expertise in at least one statistical programming language (R or Python).
- Hands-on experience with web analytics tools like Google Analytics or Adobe Analytics.
- Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker).
- Solid understanding of A/B testing methodologies and statistical significance.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to translate complex data into business insights.
- Experience with data warehousing concepts and ETL processes is a plus.
- Proven ability to work independently and manage multiple projects in a remote setting.
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2
Junior E-commerce Data Analyst
Posted today
Job Viewed
Job Description
Our client is looking for an enthusiastic and detail-oriented Junior E-commerce Data Analyst to join their growing team. This internship offers a fantastic opportunity for a recent graduate or current student to gain hands-on experience in the exciting field of e-commerce analytics. You will be working alongside experienced data professionals to support various aspects of data collection, analysis, and reporting. Your primary responsibilities will involve assisting in the tracking of key performance indicators (KPIs) across our online platforms, identifying trends in customer behavior, and helping to generate insights that will inform business decisions. This role will provide exposure to various analytical tools and methodologies, enabling you to develop a strong foundation in data analysis. You will be involved in data cleaning, organizing datasets, and preparing reports for marketing and product teams. The ideal candidate possesses a strong analytical aptitude, a keen eye for detail, and a genuine interest in e-commerce. While prior experience is beneficial, we are more interested in your potential, your eagerness to learn, and your ability to grasp new concepts quickly. This is a hybrid role, meaning you will have the flexibility to work both remotely and from our office located in Mombasa, Mombasa, KE , allowing for collaboration and mentorship while maintaining a healthy work-life balance. We believe in fostering a supportive learning environment where interns can thrive and contribute meaningfully. You will have the chance to work on real-world projects, gaining practical skills that are highly valued in the job market. This internship is designed to provide a comprehensive learning experience, covering aspects of web analytics, customer data analysis, and business intelligence. If you are a proactive individual with a passion for data and e-commerce, and are looking for a challenging yet rewarding internship, we encourage you to apply. You will be encouraged to ask questions, seek feedback, and actively participate in team discussions. This is an excellent stepping stone for a career in data analysis or digital marketing. The insights you help uncover will directly contribute to improving our online strategies and enhancing customer experiences.
Responsibilities:
Qualifications:
Responsibilities:
- Assist in collecting and organizing e-commerce data from various sources.
- Perform data cleaning and validation to ensure accuracy and integrity.
- Support the analysis of website traffic, sales data, and customer behavior.
- Help in generating reports on key performance indicators (KPIs) for e-commerce operations.
- Identify basic trends and patterns in customer data.
- Assist in preparing presentations of analytical findings for relevant teams.
- Learn and utilize data analysis tools and software.
- Collaborate with senior analysts and team members on ongoing projects.
- Contribute to ad-hoc data analysis requests as needed.
- Maintain documentation for data processes and methodologies.
Qualifications:
- Currently pursuing or recently completed a degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Basic understanding of data analysis concepts and techniques.
- Proficiency in spreadsheet software (e.g., Microsoft Excel, Google Sheets).
- Strong analytical and problem-solving skills.
- Excellent attention to detail and accuracy.
- Eagerness to learn and adapt to new tools and technologies.
- Good communication skills, both written and verbal.
- Interest in e-commerce and digital marketing.
- Ability to work both independently and as part of a team.
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3
Senior E-commerce Data Analyst - Remote
Posted 3 days ago
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Job Description
Our client, a rapidly expanding e-commerce enterprise, is seeking a talented and analytical Senior E-commerce Data Analyst to join their fully remote team. This pivotal role will focus on leveraging data to drive strategic decisions, optimize online customer experiences, and enhance marketing effectiveness across various social media platforms. You will be responsible for analyzing large datasets, identifying trends, and translating complex findings into actionable insights for stakeholders. This is a fantastic opportunity for a data-driven professional to contribute to the growth and success of an innovative online business, working entirely from home. Key responsibilities include:
- Collecting, cleaning, and organizing data from multiple e-commerce and social media channels.
- Performing in-depth analysis of customer behavior, sales trends, marketing campaign performance, and website analytics.
- Developing and maintaining dashboards and reports using business intelligence tools (e.g., Tableau, Power BI).
- Identifying key performance indicators (KPIs) and tracking progress towards business objectives.
- Conducting A/B testing and analyzing results to optimize website design, user journeys, and conversion rates.
- Providing data-driven recommendations to improve customer acquisition, retention, and lifetime value.
- Collaborating with marketing, product, and sales teams to understand their data needs and provide analytical support.
- Monitoring social media engagement metrics and analyzing campaign effectiveness.
- Forecasting sales trends and predicting customer demand based on historical data and market insights.
- Presenting findings and insights clearly and concisely to both technical and non-technical audiences.
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Marketing Analytics, or a related quantitative field.
- Minimum of 5 years of experience in data analysis, with a strong focus on e-commerce and digital marketing analytics.
- Proven experience with web analytics tools such as Google Analytics.
- Proficiency in SQL for data extraction and manipulation.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker) is essential.
- Strong understanding of statistical concepts and techniques.
- Experience with social media analytics platforms and reporting.
- Excellent problem-solving skills and attention to detail.
- Ability to communicate complex data insights effectively to diverse audiences.
- Demonstrated ability to work independently in a remote setting, managing multiple priorities and deadlines.
- Experience with Python or R for data analysis is a plus.
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4
Senior Data Scientist - E-commerce Analytics
Posted today
Job Viewed
Job Description
Our client is seeking a highly skilled and experienced Senior Data Scientist to drive their e-commerce analytics initiatives. This fully remote role is pivotal in leveraging vast datasets to uncover actionable insights that will inform strategic business decisions, enhance customer experience, and optimize marketing and sales efforts. As a remote-first organization, we cultivate a culture of intellectual curiosity, collaboration, and data-driven decision-making.
The ideal candidate will possess a strong background in statistical modeling, machine learning, and data mining, with a proven ability to apply these skills to solve complex e-commerce challenges. You will be responsible for the end-to-end data science lifecycle, from data extraction, cleaning, and preprocessing to model development, validation, and deployment. Experience with customer segmentation, recommendation systems, churn prediction, and marketing mix modeling is highly desirable. A deep understanding of A/B testing and experimental design is also critical.
Key responsibilities include developing predictive models to forecast sales trends, understand customer behavior, and personalize customer journeys. You will collaborate closely with marketing, product, and engineering teams to translate analytical findings into practical business strategies. This involves presenting complex results in a clear and compelling manner to both technical and non-technical stakeholders. Proficiency in programming languages such as Python or R, along with extensive experience with SQL and data visualization tools (e.g., Tableau, Power BI), is essential. Staying abreast of the latest advancements in data science and machine learning, and identifying opportunities to apply new techniques to business problems, is paramount. This role offers a unique opportunity to significantly influence the growth and success of our client's e-commerce business, with the flexibility and autonomy of a remote work environment.
Qualifications:
The ideal candidate will possess a strong background in statistical modeling, machine learning, and data mining, with a proven ability to apply these skills to solve complex e-commerce challenges. You will be responsible for the end-to-end data science lifecycle, from data extraction, cleaning, and preprocessing to model development, validation, and deployment. Experience with customer segmentation, recommendation systems, churn prediction, and marketing mix modeling is highly desirable. A deep understanding of A/B testing and experimental design is also critical.
Key responsibilities include developing predictive models to forecast sales trends, understand customer behavior, and personalize customer journeys. You will collaborate closely with marketing, product, and engineering teams to translate analytical findings into practical business strategies. This involves presenting complex results in a clear and compelling manner to both technical and non-technical stakeholders. Proficiency in programming languages such as Python or R, along with extensive experience with SQL and data visualization tools (e.g., Tableau, Power BI), is essential. Staying abreast of the latest advancements in data science and machine learning, and identifying opportunities to apply new techniques to business problems, is paramount. This role offers a unique opportunity to significantly influence the growth and success of our client's e-commerce business, with the flexibility and autonomy of a remote work environment.
Qualifications:
- Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
- 5+ years of experience as a Data Scientist, with a focus on e-commerce analytics.
- Proficiency in statistical modeling, machine learning algorithms, and data mining techniques.
- Strong programming skills in Python or R, and extensive experience with SQL.
- Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
- Familiarity with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
- Proven ability to design and analyze A/B tests and experiments.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain complex findings clearly.
- Experience working independently and collaboratively in a remote setting.
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5
Job Description
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 the Cloud Economics Team supporting a global R&D organization in a critical digital transformation. This role is central to integrating emerging OpenAI and AI/ML spending into the enterprise cloud cost governance framework. You will apply advanced FinOps principles and automation to standardize budget management, enhance cost visibility using tools like Datadog and Stitcher, and leverage AI-powered insights to drive accountability across engineering teams. The mission is to transform manual financial processes into a scalable, automated system that proactively guides global R&D teams toward optimal AI adoption and cloud resource efficiency.
Key Responsibilities
Standardize OpenAI Budget Management: Integrate and standardize OpenAI and other AI-related cloud spending into core cost governance frameworks and reporting tools (e.g., Datadog, Stitcher) to ensure full R&D budget transparency.
Automate Reporting and Forecasting: Design, implement, and maintain automated data pipelines to replace manual processes for cost reporting, forecasting, and alert generation.
AI-Powered Cost Insights: Utilize Large Language Models (LLMs) and AI tools to develop and deploy contextual, automated explanations for cost fluctuations, empowering engineering teams for autonomous budget management.
Develop AI Usage Guidelines: Create and document best practices and guidelines for AI service consumption, identifying cost-effective versus inefficient usage patterns to drive optimal adoption.
Implement Target Tracking Systems: Partner with Observability and Cloud Economics teams to implement proof-of-concept tools for team-level budget tracking, alerting, and proactive cost management.
Cross-Functional Alignment: Collaborate closely with FinOps, Cloud, and Data teams to ensure alignment on reporting standards, forecasting methodologies, and cost governance practices.
Must-Have Skills
FinOps Expertise & Certification: 6+ years of experience in Cloud Engineering, DevOps, or Data Analytics, including 2+ years applying FinOps principles to cloud cost management, reporting, or governance. FinOps Certified Practitioner or Professional (mandatory).
AWS Cost Management: Hands-on experience with AWS cost management tools (e.g., Cost Explorer, Apptio, CloudHealth, Kion, or Cloudability).
Data Analysis & SQL: Strong SQL and data analysis skills, with advanced proficiency in Microsoft Excel or Google Sheets (pivot tables, lookups, automation).
Data Pipeline/Visualization: Experience with data pipelines, warehousing, and visualization tools (e.g., Datadog, Snowflake, Stitcher).
Cloud Infrastructure Knowledge: Solid understanding of cloud infrastructure (AWS preferred, GCP or Snowflake experience beneficial).
AI/ML Cost Exposure: Demonstrated exposure to AI/ML environments, including experience tracking costs for GPU usage, Sagemaker, or Vertex AI.
Fluent English for daily communication (B2+ minimum).
Nice-to-Have Skills
Experience implementing AI- or LLM-based tools for cost explanation or automation.
Familiarity with Python for data automation or API integration.
Experience building advanced FinOps dashboards or cost visibility frameworks.
Background in Cloud Economics or Finance-for-Engineering environments.
Language
All interviews, documentation, and day-to-day collaboration will be conducted in English.
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6
Junior Data Analyst - Marketing Insights
Posted today
Job Viewed
Job Description
Our client, a fast-paced marketing and advertising firm, is seeking an enthusiastic and detail-oriented Junior Data Analyst to join their team. This is an exciting, fully remote internship opportunity designed for individuals looking to gain hands-on experience in analyzing marketing data and extracting actionable insights. You will work closely with senior analysts and marketing managers to support data collection, cleaning, analysis, and reporting activities. Your contributions will help inform marketing strategies, campaign optimization, and client recommendations. The ideal candidate is a motivated student or recent graduate with a strong quantitative aptitude and a keen interest in marketing analytics. While prior professional experience is not strictly required, a solid understanding of statistical concepts and proficiency in tools like Excel are essential. Experience with data visualization tools (e.g., Tableau, Power BI) and basic knowledge of SQL or Python for data manipulation are highly advantageous. This is a fully remote internship, providing the flexibility to work from anywhere. We are committed to providing a valuable learning experience, fostering professional development, and integrating interns into our collaborative virtual environment. If you are eager to launch your career in data analysis within the marketing domain and thrive in a remote setting, we encourage you to apply. This role supports our initiatives, with team members potentially located near Kitale, Trans-Nzoia, KE , but the position is entirely remote.
Responsibilities:
Responsibilities:
- Assist in collecting and organizing marketing data from various sources (e.g., web analytics, CRM, social media platforms).
- Clean and preprocess data to ensure accuracy and consistency for analysis.
- Perform descriptive statistical analysis to identify trends and patterns in marketing performance.
- Support the creation of reports and dashboards to visualize key marketing metrics.
- Help analyze campaign performance and provide insights for optimization.
- Collaborate with marketing teams to understand data needs and provide analytical support.
- Learn and apply new data analysis techniques and tools under guidance.
- Contribute to ad-hoc data requests and research projects.
- Currently pursuing or recently completed a Bachelor's degree in Statistics, Mathematics, Economics, Marketing, Computer Science, or a related quantitative field.
- Strong analytical and problem-solving skills with a keen attention to detail.
- Proficiency in Microsoft Excel (pivot tables, VLOOKUPs, formulas).
- Basic understanding of statistical concepts and data analysis principles.
- Eagerness to learn new software and analytical tools.
- Good communication and collaboration skills.
- Ability to work independently and manage time effectively in a remote environment.
- Familiarity with SQL, Python (Pandas), or data visualization tools (Tableau, Power BI) is a plus.
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