5 Big W jobs in Kenya
Junior Data Analyst - Big Data
00204 Gathiruini
KES150000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is excited to offer a Junior Data Analyst position as part of their comprehensive Apprenticeships & Trainee program. This is a fantastic fully remote opportunity for motivated individuals eager to launch a career in data analysis and big data technologies. You will work closely with experienced data scientists and analysts, gaining hands-on experience in data collection, cleaning, analysis, and visualization. This role is designed to provide you with the foundational skills and knowledge necessary to excel in the field, with a clear path for growth and development within the company.
As a Junior Data Analyst, you will assist in extracting meaningful insights from complex datasets, helping business units make data-driven decisions. You will learn to use various data analysis tools and programming languages (e.g., SQL, Python, R) to manipulate and interpret data. The program includes structured training, mentorship, and opportunities to contribute to real-world projects. We are looking for candidates with a strong analytical aptitude, a keen eye for detail, and a passion for uncovering patterns and trends within data. While no prior professional experience is strictly required, a demonstrated interest in data and a willingness to learn are essential.
Key Responsibilities:
Qualifications:
As a Junior Data Analyst, you will assist in extracting meaningful insights from complex datasets, helping business units make data-driven decisions. You will learn to use various data analysis tools and programming languages (e.g., SQL, Python, R) to manipulate and interpret data. The program includes structured training, mentorship, and opportunities to contribute to real-world projects. We are looking for candidates with a strong analytical aptitude, a keen eye for detail, and a passion for uncovering patterns and trends within data. While no prior professional experience is strictly required, a demonstrated interest in data and a willingness to learn are essential.
Key Responsibilities:
- Assist in collecting, cleaning, and organizing large datasets from various sources.
- Perform basic data analysis using statistical methods and tools.
- Help develop reports and dashboards to visualize data and communicate findings.
- Support senior analysts in identifying trends, patterns, and insights within the data.
- Learn and apply data querying languages such as SQL.
- Participate in team meetings and contribute to project discussions.
- Assist in the development and maintenance of data models.
- Follow established data governance and quality standards.
- Collaborate with cross-functional teams to understand data needs.
- Actively engage in training and skill development opportunities.
Qualifications:
- A degree in a quantitative field such as Statistics, Mathematics, Economics, Computer Science, or a related discipline, or equivalent demonstrable aptitude.
- Strong analytical and problem-solving skills.
- Proficiency with spreadsheet software (e.g., Microsoft Excel).
- Basic understanding of programming concepts and willingness to learn languages like SQL, Python, or R.
- Excellent attention to detail and organizational skills.
- Good communication and teamwork abilities.
- Eagerness to learn and develop skills in data analysis and big data technologies.
- Ability to work independently and manage tasks in a remote setting.
This advertiser has chosen not to accept applicants from your region.
0
Junior Data Analyst - Big Data & Analytics
60100 Meru , Eastern
KES30000 Monthly
WhatJobs
Posted 2 days ago
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Job Description
Our client is seeking enthusiastic and detail-oriented Junior Data Analysts to join their dynamic analytics team. This is a fully remote internship opportunity designed to provide hands-on experience in the field of big data and analytics. As a Junior Data Analyst, you will support senior team members in collecting, cleaning, transforming, and analyzing large datasets to uncover valuable insights. You will gain exposure to various analytical tools and techniques, contributing to data-driven decision-making across different business units. The ideal candidate is eager to learn, possesses strong quantitative skills, and has a foundational understanding of statistical concepts. This internship is perfect for individuals looking to launch their career in data analysis and gain practical experience in a supportive, remote work environment. You will work on projects that help our client understand customer behavior, optimize operations, and identify new market opportunities. This role involves collaborating with cross-functional teams and presenting findings in a clear and concise manner.
Responsibilities:
Responsibilities:
- Assist in the collection, cleaning, and preprocessing of data from various sources.
- Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Support the development and execution of data models and statistical analyses.
- Create visualizations and reports to communicate analytical findings effectively.
- Collaborate with senior analysts and data scientists on ongoing projects.
- Assist in documenting data sources, methodologies, and analytical processes.
- Learn and apply new analytical tools and techniques as required.
- Contribute to data quality initiatives and ensure data integrity.
- Help prepare data for presentations and stakeholder meetings.
- Gain practical experience with database querying (e.g., SQL).
- Understand and implement basic data visualization principles.
- Currently pursuing a Bachelor's or Master's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
- Strong analytical and problem-solving skills.
- Familiarity with statistical concepts and methodologies.
- Basic knowledge of programming languages such as Python or R is a plus.
- Exposure to SQL for data querying is desirable.
- Excellent attention to detail and ability to manage multiple tasks.
- Strong communication and collaboration skills.
- Ability to work independently and effectively in a remote setting.
- Enthusiasm for learning about data analysis and business intelligence.
- Previous internship or project experience in data analysis is a bonus.
This advertiser has chosen not to accept applicants from your region.
1
Remote Senior Data Engineer (Big Data)
20102 Embu, Eastern
KES300000 Annually
WhatJobs
Posted 2 days ago
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Job Description
Our client is a rapidly growing technology firm seeking a highly skilled and experienced Remote Senior Data Engineer to join their dynamic team. This is a fully remote position, offering flexibility and the opportunity to work with cutting-edge big data technologies from anywhere. You will be instrumental in designing, building, and maintaining scalable data pipelines, ensuring data quality and integrity for critical business analytics and machine learning initiatives. This role involves collaborating closely with data scientists, analysts, and software engineers to understand data needs, translate them into robust technical solutions, and optimize data processing workflows. You will architect solutions for data ingestion, transformation, and storage, leveraging cloud platforms and distributed computing frameworks.
Key Responsibilities:
Key Responsibilities:
- Design, develop, and implement highly scalable and reliable data pipelines for batch and real-time data processing.
- Build and maintain robust ETL/ELT processes using modern data warehousing techniques.
- Optimize data storage and retrieval for performance and cost-efficiency on cloud platforms (AWS, GCP, or Azure).
- Collaborate with data scientists and analysts to ensure data availability and quality for analytical models and reporting.
- Develop and manage data infrastructure, ensuring security, compliance, and reliability.
- Implement data governance policies and procedures.
- Troubleshoot and resolve issues related to data pipelines and infrastructure.
- Stay abreast of emerging technologies in big data and data engineering, and recommend their adoption.
- Mentor junior data engineers and contribute to a culture of technical excellence.
- Participate in code reviews and contribute to architectural design discussions.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- 5+ years of experience in data engineering, with a strong focus on big data technologies.
- Proficiency in programming languages such as Python, Scala, or Java.
- Extensive experience with distributed data processing frameworks like Apache Spark, Hadoop, Flink.
- Deep understanding of SQL and NoSQL databases.
- Experience with cloud data services (e.g., AWS S3, Redshift, EMR; Google Cloud Storage, BigQuery, Dataproc; Azure Data Lake, Synapse Analytics).
- Familiarity with workflow management tools like Airflow.
- Experience with data warehousing concepts and best practices.
- Excellent problem-solving and analytical skills.
- Strong communication and collaboration abilities, particularly in a remote team setting.
This advertiser has chosen not to accept applicants from your region.
2
Junior Data Analyst - Big Data Projects
70100 Abothuguchi West
KES40000 Monthly
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client is looking for an enthusiastic and detail-oriented Junior Data Analyst to join their innovative team. This is an excellent opportunity for recent graduates or individuals looking to kickstart their career in data analytics, and it is a completely remote position.
You will be involved in various stages of data analysis, from data collection and cleaning to interpretation and reporting, supporting critical big data projects. This role requires a proactive attitude, a keen eye for detail, and a passion for uncovering insights from data.
Key Responsibilities:
Qualifications:
This fully remote graduate role provides a fantastic learning environment and the chance to gain hands-on experience with big data. The position is based in Garissa, Garissa, KE , but is fully remote, allowing you to work from anywhere. We are looking for bright minds eager to contribute and grow.
You will be involved in various stages of data analysis, from data collection and cleaning to interpretation and reporting, supporting critical big data projects. This role requires a proactive attitude, a keen eye for detail, and a passion for uncovering insights from data.
Key Responsibilities:
- Assist in collecting, cleaning, and pre-processing large datasets from various sources.
- Perform exploratory data analysis to identify trends, patterns, and anomalies.
- Support the development of dashboards and reports to visualize data insights for stakeholders.
- Collaborate with senior data analysts and data scientists on ongoing projects.
- Learn and apply statistical methods and data mining techniques.
- Document data analysis processes and findings.
- Contribute to the maintenance and improvement of data quality and integrity.
- Participate in team meetings and provide updates on assigned tasks.
- Assist in testing and validating data models and analytical outputs.
- Help in preparing presentations that communicate complex data findings in a clear and concise manner.
Qualifications:
- Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Basic understanding of statistical concepts and data analysis principles.
- Familiarity with data analysis tools and programming languages such as Python (Pandas, NumPy) or R is a plus.
- Experience with SQL for data querying is advantageous.
- Strong analytical and problem-solving skills.
- Excellent attention to detail and organizational abilities.
- Good communication and collaboration skills, essential for a remote team.
- Ability to learn quickly and adapt to new technologies and methodologies.
- A genuine interest in data and its potential to drive business decisions.
This fully remote graduate role provides a fantastic learning environment and the chance to gain hands-on experience with big data. The position is based in Garissa, Garissa, KE , but is fully remote, allowing you to work from anywhere. We are looking for bright minds eager to contribute and grow.
This advertiser has chosen not to accept applicants from your region.
3
Remote Lead Data Engineer - Big Data Platforms
30200 Tuwan
KES250000 Annually
WhatJobs
Posted 2 days ago
Job Viewed
Job Description
Our client, a rapidly growing data analytics company, is seeking an experienced and visionary Lead Data Engineer to spearhead their big data platform initiatives. This is a fully remote, senior-level position offering the opportunity to shape the future of data infrastructure and architecture. You will be responsible for designing, building, and maintaining scalable and robust data pipelines, optimizing data storage solutions, and ensuring the efficient flow of data across the organization. The ideal candidate possesses a deep understanding of distributed systems, cloud computing platforms (AWS, Azure, GCP), and a wide array of big data technologies (e.g., Spark, Hadoop, Kafka). You will lead a team of data engineers, providing technical guidance, mentoring, and fostering a culture of innovation and excellence. As a remote lead, you will leverage cutting-edge collaboration tools to manage projects, communicate strategies, and drive team performance effectively. We are looking for a strategic thinker with exceptional problem-solving skills and a proven track record of successfully delivering complex data engineering solutions. This role requires a proactive approach to identifying and addressing technical challenges, ensuring the reliability, performance, and security of our data ecosystem. This is an exceptional opportunity to take on a leadership role in a forward-thinking company, driving critical data initiatives from a remote setting and making a significant impact on data-driven decision-making across the organization.
Responsibilities:
Responsibilities:
- Design, build, and optimize scalable data pipelines and ETL/ELT processes.
- Develop and manage robust data warehousing and data lake solutions.
- Lead the architecture and implementation of big data platforms and infrastructure.
- Ensure data quality, integrity, and security across all data systems.
- Collaborate with data scientists and analysts to provide them with reliable data access.
- Mentor and guide junior data engineers, fostering their technical growth.
- Evaluate and recommend new technologies and tools to enhance data capabilities.
- Monitor system performance, troubleshoot issues, and implement solutions for optimization.
- Develop and enforce data governance policies and standards.
- Drive innovation in data engineering practices and methodologies.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
- Minimum of 8 years of experience in data engineering, with at least 2 years in a lead or senior role.
- Extensive experience with cloud platforms (AWS, Azure, or GCP) and their data services.
- Deep expertise in big data technologies such as Apache Spark, Hadoop, Kafka, and related ecosystems.
- Proficiency in programming languages like Python, Scala, or Java.
- Strong SQL skills and experience with various database technologies (relational and NoSQL).
- Experience with data modeling and schema design.
- Excellent leadership, communication, and problem-solving skills.
- Ability to manage remote teams and projects effectively.
- A passion for building high-performance data infrastructure.
This advertiser has chosen not to accept applicants from your region.
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