51 Marketing Analytics jobs in Manama
Senior Marketing Analytics Specialist
60010 Seef, Capital
BHD90000 Annually
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Posted today
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Job Description
Our client, a fast-growing e-commerce enterprise, is seeking a highly analytical and data-driven Senior Marketing Analytics Specialist to join their fully remote marketing team. This role is instrumental in measuring, analyzing, and optimizing the effectiveness of marketing campaigns across all channels. You will be responsible for translating complex data into actionable insights, identifying key trends, and providing strategic recommendations to enhance marketing ROI. The ideal candidate will have a strong quantitative background, proficiency in data analysis tools and techniques, and a deep understanding of marketing principles and metrics. This is a remote-first position, offering the flexibility to work from anywhere while contributing to impactful marketing strategies. You will collaborate closely with marketing managers, digital strategists, and data scientists to drive data-informed decision-making and optimize customer acquisition and retention efforts.
Key Responsibilities:
Key Responsibilities:
- Develop and implement comprehensive marketing analytics frameworks and dashboards.
- Analyze the performance of digital marketing campaigns (SEO, SEM, social media, email, content, programmatic) and provide actionable insights.
- Track, measure, and report on key marketing metrics, including ROI, CPA, LTV, and conversion rates.
- Conduct A/B testing and other experimental designs to optimize campaign performance and user experience.
- Perform deep-dive analysis into customer behavior, segmentation, and lifetime value.
- Identify trends and patterns in marketing data to inform strategic planning and resource allocation.
- Collaborate with the marketing team to set campaign goals and define measurement strategies.
- Utilize data visualization tools to present complex data in a clear and understandable format.
- Stay up-to-date with the latest analytics tools, techniques, and marketing technologies.
- Provide recommendations for improving website performance, customer journey, and marketing funnel efficiency.
- Work with data engineering teams to ensure data accuracy and accessibility.
- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Marketing Analytics, or a related quantitative field.
- Minimum of 5 years of experience in marketing analytics, data analysis, or a similar role.
- Proficiency in data analysis tools such as SQL, R, Python, and advanced Excel.
- Experience with web analytics platforms (e.g., Google Analytics, Adobe Analytics) and tag management systems (e.g., Google Tag Manager).
- Familiarity with business intelligence and data visualization tools (e.g., Tableau, Power BI).
- Strong understanding of marketing channels, metrics, and best practices.
- Excellent analytical, problem-solving, and critical-thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Ability to work independently and manage multiple projects in a remote setting.
- Experience with marketing automation platforms is a plus.
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0
Senior Marketing Analytics Manager
212 Manama, Capital
BHD98000 Annually
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Posted 7 days ago
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Job Description
Our client is seeking a data-driven and insightful Senior Marketing Analytics Manager to lead their analytics function. This fully remote role is essential for optimizing marketing strategies and maximizing ROI by providing deep insights into campaign performance, customer behavior, and market trends. You will be responsible for designing and implementing advanced analytical models, interpreting complex datasets, and translating findings into actionable recommendations for the marketing team and senior leadership. The ideal candidate will have a strong command of marketing analytics tools and techniques, including but not limited to, web analytics (Google Analytics), CRM data analysis, campaign performance tracking, A/B testing, and customer segmentation. You will champion a data-centric approach to marketing decision-making across the organization.
Key responsibilities include developing and managing marketing dashboards and reporting frameworks; performing in-depth analysis of digital marketing campaigns (SEO, SEM, social media, email) and offline marketing initiatives; identifying key drivers of customer acquisition, retention, and lifetime value; conducting customer segmentation and predictive modeling; collaborating with marketing teams to define campaign objectives and KPIs; providing insights and recommendations for campaign optimization and budget allocation; staying current with industry best practices and emerging analytical technologies; and mentoring junior analysts. You will play a critical role in shaping the future of our client's marketing efforts by ensuring all strategic decisions are informed by robust data analysis. This is an exciting opportunity for a talented analyst to make a significant impact in a dynamic, remote work environment.
Qualifications:
Key responsibilities include developing and managing marketing dashboards and reporting frameworks; performing in-depth analysis of digital marketing campaigns (SEO, SEM, social media, email) and offline marketing initiatives; identifying key drivers of customer acquisition, retention, and lifetime value; conducting customer segmentation and predictive modeling; collaborating with marketing teams to define campaign objectives and KPIs; providing insights and recommendations for campaign optimization and budget allocation; staying current with industry best practices and emerging analytical technologies; and mentoring junior analysts. You will play a critical role in shaping the future of our client's marketing efforts by ensuring all strategic decisions are informed by robust data analysis. This is an exciting opportunity for a talented analyst to make a significant impact in a dynamic, remote work environment.
Qualifications:
- Bachelor's degree in Marketing, Statistics, Economics, Computer Science, or a related quantitative field; Master's degree preferred.
- Minimum of 5-7 years of experience in marketing analytics, with a focus on data analysis and interpretation.
- Proven expertise in analyzing digital marketing channels (SEM, SEO, Social, Email, Display) and their ROI.
- Proficiency with web analytics platforms (e.g., Google Analytics, Adobe Analytics) and tag management solutions.
- Experience with marketing automation platforms and CRM systems (e.g., Salesforce, HubSpot).
- Strong knowledge of statistical analysis, A/B testing, and data visualization techniques.
- Proficiency in data manipulation and querying tools (SQL, Python, R) is highly desirable.
- Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical audiences.
- Strong problem-solving skills and a proactive approach to identifying opportunities.
- Experience working effectively in a remote team setting.
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1
Senior Marketing Data Analyst
11223 Ghuraifa, Capital
BHD90000 Annually
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Posted 13 days ago
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Our client is looking for an analytical and insightful Senior Marketing Data Analyst to join their growing marketing department in Busaiteen, Muharraq, BH . This role is integral to understanding marketing campaign performance, customer behavior, and market trends. The ideal candidate will possess strong quantitative skills, a passion for data storytelling, and the ability to translate complex data into actionable business insights. You will work closely with marketing teams to measure the effectiveness of strategies, identify areas for improvement, and contribute to data-driven decision-making. This hybrid role offers the flexibility of both remote work and in-office collaboration.
Responsibilities:
Responsibilities:
- Collect, clean, and analyze large datasets from various marketing channels (digital, traditional, social media, CRM).
- Develop and maintain marketing dashboards and reports to track key performance indicators (KPIs) and campaign effectiveness.
- Conduct in-depth analysis of marketing campaign performance, identifying trends, patterns, and opportunities for optimization.
- Perform customer segmentation and lifetime value analysis to inform marketing strategies.
- Develop predictive models to forecast marketing outcomes and identify potential risks and opportunities.
- Collaborate with marketing teams to design and interpret A/B tests and other experiments.
- Translate complex analytical findings into clear, concise, and actionable recommendations for stakeholders.
- Utilize data visualization tools (e.g., Tableau, Power BI) to present findings effectively.
- Stay current with the latest analytical techniques, marketing technologies, and industry best practices.
- Identify data quality issues and work with relevant teams to implement solutions.
- Contribute to the development of the overall marketing data strategy.
- Bachelor's or Master's degree in Statistics, Mathematics, Economics, Computer Science, Marketing Analytics, or a related quantitative field.
- Minimum of 5 years of experience in marketing analytics or a related data analysis role.
- Proficiency in SQL for data extraction and manipulation.
- Strong experience with statistical analysis software (e.g., R, Python) and data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of marketing principles and various marketing channels.
- Experience with web analytics platforms (e.g., Google Analytics) is essential.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
- Detail-oriented with a commitment to data accuracy and integrity.
- Familiarity with marketing automation platforms is a plus.
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2
Remote Senior Marketing Data Scientist
201 Bilad Al Qadeem, Capital
BHD110000 Annually
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Posted 9 days ago
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Job Description
Our client is seeking a highly skilled and experienced Senior Marketing Data Scientist to drive data-informed marketing strategies and initiatives. This is a fully remote position, empowering you to leverage your analytical expertise from anywhere. You will be responsible for analyzing vast datasets to uncover customer insights, optimize campaign performance, personalize marketing efforts, and forecast future trends. The ideal candidate possesses a strong background in statistical modeling, machine learning, and a deep understanding of marketing principles and digital channels. You will work closely with marketing teams, product managers, and engineering to translate complex data into actionable strategies that enhance customer acquisition, retention, and lifetime value.
Key Responsibilities:
Qualifications:
Key Responsibilities:
- Develop and implement advanced analytical models to understand customer behavior, segmentation, and propensity.
- Design and analyze marketing experiments (A/B testing) to optimize campaign effectiveness and ROI.
- Build predictive models for customer churn, lifetime value, and campaign response.
- Utilize machine learning techniques to personalize marketing messages and product recommendations.
- Analyze marketing channel performance and provide recommendations for budget allocation and strategy refinement.
- Collaborate with marketing stakeholders to define key performance indicators (KPIs) and reporting requirements.
- Clean, transform, and prepare large datasets for analysis.
- Communicate complex analytical findings and recommendations clearly to non-technical audiences.
- Stay abreast of the latest trends in data science, machine learning, and marketing analytics.
- Contribute to the development of data infrastructure and tooling to support marketing analytics.
- Identify opportunities for data-driven innovation in marketing strategies.
Qualifications:
- Master's or Ph.D. in Statistics, Data Science, Computer Science, Economics, or a related quantitative field.
- Minimum of 5 years of experience in data science, with a focus on marketing analytics or customer insights.
- Proficiency in statistical programming languages such as Python or R.
- Strong knowledge of machine learning algorithms and libraries (e.g., scikit-learn, TensorFlow, PyTorch).
- Experience with SQL for data extraction and manipulation.
- Familiarity with marketing automation platforms, CRM systems, and digital advertising platforms.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong communication and presentation skills for explaining complex data to various audiences.
- Ability to work independently and manage multiple projects in a remote setting.
- Experience with data visualization tools (e.g., Tableau, Power BI).
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3
Graduate Trainee - Data Analysis
5013 Gudaibiya, Capital
BHD18 Hourly
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Posted 4 days ago
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Job Description
Our client is excited to offer a Graduate Trainee position focused on Data Analysis to ambitious recent graduates eager to kick-start their careers. This is an excellent opportunity to gain practical, hands-on experience in a dynamic business environment. As a Graduate Trainee, you will support various teams by collecting, organizing, and analyzing data to help drive informed decision-making. Your responsibilities will include assisting in the preparation of reports, creating spreadsheets and databases for data tracking purposes, and performing basic data validation to ensure accuracy. You will be trained on industry-standard data analysis tools and methodologies. The ideal candidate is a recent graduate with a degree in a quantitative discipline such as Statistics, Mathematics, Economics, Business Administration, or a related field. You should possess strong analytical skills, a meticulous attention to detail, and a genuine interest in understanding and interpreting data. Proficiency in Microsoft Excel is essential, and familiarity with other data analysis software or programming languages (e.g., SQL, Python, R) is a significant advantage. Excellent communication skills are required to effectively present findings and collaborate with team members. This role offers a structured learning program, mentorship from experienced professionals, and the chance to contribute to meaningful projects within our client's operations in **Jidhafs, Capital, BH**. We are looking for individuals who are eager to learn, proactive in their approach, and committed to developing their skills in data analysis and business intelligence. This is a fantastic entry point into a career focused on leveraging data to solve business problems and improve operational efficiency.
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4
Graduate Trainee - Data Analysis
601 Ghuraifa, Capital
BHD15 Hourly
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Posted 21 days ago
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Job Description
Our client is offering an exceptional opportunity for enthusiastic and driven recent graduates to join their prestigious Graduate Trainee program, focusing on Data Analysis, based in **Jidhafs, Capital, BH**. This is a structured 12-month program designed to equip you with the foundational skills and practical experience necessary for a successful career in data science and analytics. As a Trainee, you will work alongside experienced professionals, gaining exposure to various data analysis techniques, tools, and methodologies. You will be involved in collecting, cleaning, interpreting, and visualizing data to provide actionable insights that support business decision-making. This program emphasizes hands-on learning and provides mentorship to foster your professional growth. The ideal candidate will possess a strong analytical mindset, a keen interest in data, and a Bachelor's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline. We are looking for individuals who are eager to learn, adaptable, and possess excellent problem-solving abilities. Key responsibilities during the program:
Qualifications:
This is a full-time, on-site internship program in **Jidhafs, Capital, BH**, offering a competitive hourly wage and valuable industry experience. Upon successful completion of the program, there may be opportunities for full-time employment.
- Assisting senior analysts in data collection, extraction, and manipulation from various sources.
- Performing data cleaning and pre-processing to ensure data quality and integrity.
- Conducting exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
- Developing and generating reports and visualizations using tools like Excel, Tableau, or Power BI.
- Supporting the development of dashboards and performance metrics.
- Learning and applying statistical methods and basic modeling techniques.
- Collaborating with different departments to understand their data needs and provide analytical support.
- Participating in training sessions and workshops to enhance technical and soft skills.
- Contributing to ad-hoc data analysis projects as required.
- Shadowing experienced data analysts and learning best practices in data management and analysis.
Qualifications:
- Recent graduate with a Bachelor's degree in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Engineering, etc.).
- Strong analytical and problem-solving skills.
- Proficiency in Microsoft Excel.
- Basic understanding of statistical concepts.
- Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.
- Knowledge of programming languages like Python or R is advantageous but not mandatory.
- Excellent communication and teamwork skills.
- A strong desire to learn and develop a career in data analysis.
- Must be legally eligible to work in **Jidhafs, Capital, BH**.
This is a full-time, on-site internship program in **Jidhafs, Capital, BH**, offering a competitive hourly wage and valuable industry experience. Upon successful completion of the program, there may be opportunities for full-time employment.
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5
Remote Geologist - Data Analysis
21031 Seef, Capital
BHD75000 Annually
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Posted 24 days ago
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Our client is seeking a highly analytical and experienced Geologist with a strong focus on data analysis to join their entirely remote exploration team. In this critical role, you will be responsible for interpreting geological data, identifying potential resource deposits, and contributing to the strategic planning of exploration projects. Your work will directly influence the company's resource discovery and development initiatives.
This position demands exceptional skills in geological data interpretation, statistical analysis, and the use of specialized software for modeling and visualization. You will be expected to process and analyze large datasets from various sources, including seismic surveys, well logs, core samples, and geochemical analyses. Developing predictive models, identifying anomalies, and providing clear, concise reports and recommendations will be central to your responsibilities.
The successful candidate will have a profound understanding of geological principles, mineralogy, and stratigraphy. You must be adept at utilizing advanced analytical techniques and software such as ArcGIS, Petrel, Leapfrog, or similar geological modeling and data analysis platforms. This is a remote-first position, requiring self-discipline, excellent time management, and strong communication skills to collaborate effectively with a globally distributed team. You will play a key role in risk assessment and resource estimation, providing crucial insights that guide investment decisions. The ability to present complex technical information in an accessible manner to both geoscientific and management teams is vital.
Location: This is a remote position. While not tied to a physical office, you will be working with geological data pertaining to potential resource sites, with a focus on projects that may involve exploration within regions like Seef, Capital, BH .
Qualifications:
This position demands exceptional skills in geological data interpretation, statistical analysis, and the use of specialized software for modeling and visualization. You will be expected to process and analyze large datasets from various sources, including seismic surveys, well logs, core samples, and geochemical analyses. Developing predictive models, identifying anomalies, and providing clear, concise reports and recommendations will be central to your responsibilities.
The successful candidate will have a profound understanding of geological principles, mineralogy, and stratigraphy. You must be adept at utilizing advanced analytical techniques and software such as ArcGIS, Petrel, Leapfrog, or similar geological modeling and data analysis platforms. This is a remote-first position, requiring self-discipline, excellent time management, and strong communication skills to collaborate effectively with a globally distributed team. You will play a key role in risk assessment and resource estimation, providing crucial insights that guide investment decisions. The ability to present complex technical information in an accessible manner to both geoscientific and management teams is vital.
Location: This is a remote position. While not tied to a physical office, you will be working with geological data pertaining to potential resource sites, with a focus on projects that may involve exploration within regions like Seef, Capital, BH .
Qualifications:
- M.Sc. or Ph.D. in Geology, Geophysics, or a related field.
- Minimum of 6 years of experience in geological data analysis and interpretation.
- Proven expertise with geological modeling and data analysis software (e.g., ArcGIS, Petrel, Leapfrog).
- Strong background in statistical analysis and quantitative modeling.
- Experience with mineral exploration or resource estimation.
- Excellent report writing and presentation skills.
- Ability to work autonomously and manage multiple projects in a remote setting.
- Strong understanding of geological processes and rock types.
- Proficiency in programming languages commonly used in data science (e.g., Python, R) is a plus.
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6
Geologist - Remote Sensing & Data Analysis
930 Al Muharraq
BHD90000 Annually
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Posted 6 days ago
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Our client, a prominent entity in the mining sector, is seeking an experienced Geologist specializing in Remote Sensing and Data Analysis to join their team based in Tubli, Capital, BH . This critical role involves the application of advanced remote sensing techniques and geospatial analysis to support exploration, resource estimation, and operational efficiency within mining projects. You will be responsible for acquiring, processing, and interpreting satellite imagery, aerial photography, and other remote sensing data to identify geological structures, mineral deposits, and potential exploration targets.
Key responsibilities include utilizing specialized software to perform image processing, spectral analysis, and feature extraction. You will integrate remote sensing data with other geological datasets, such as geophysical surveys, drilling logs, and geochemical data, to build comprehensive 3D geological models. Developing and applying spatial data analysis techniques to assess geological hazards, monitor mine site environmental conditions, and optimize extraction strategies will be crucial. Collaboration with geologists, geophysicists, and mining engineers is essential to translate analytical findings into actionable geological insights. You will also be involved in preparing detailed reports, maps, and presentations for management and project stakeholders. The ideal candidate will possess a strong understanding of geological principles, mineralogy, and structural geology, complemented by deep expertise in remote sensing technologies and GIS software. Experience with machine learning algorithms for geological data analysis is highly advantageous. This role offers an exciting opportunity to work on diverse mining projects, contributing to the discovery and sustainable extraction of valuable resources through cutting-edge technology.
Qualifications:
Key responsibilities include utilizing specialized software to perform image processing, spectral analysis, and feature extraction. You will integrate remote sensing data with other geological datasets, such as geophysical surveys, drilling logs, and geochemical data, to build comprehensive 3D geological models. Developing and applying spatial data analysis techniques to assess geological hazards, monitor mine site environmental conditions, and optimize extraction strategies will be crucial. Collaboration with geologists, geophysicists, and mining engineers is essential to translate analytical findings into actionable geological insights. You will also be involved in preparing detailed reports, maps, and presentations for management and project stakeholders. The ideal candidate will possess a strong understanding of geological principles, mineralogy, and structural geology, complemented by deep expertise in remote sensing technologies and GIS software. Experience with machine learning algorithms for geological data analysis is highly advantageous. This role offers an exciting opportunity to work on diverse mining projects, contributing to the discovery and sustainable extraction of valuable resources through cutting-edge technology.
Qualifications:
- Minimum of 5 years of experience in geological fieldwork, exploration, or mining, with a strong focus on remote sensing and GIS applications.
- Proven expertise in processing and interpreting various types of remote sensing data (e.g., optical, radar, LiDAR).
- Proficiency in specialized software such as ArcGIS, ERDAS IMAGINE, ENVI, or equivalent.
- Strong understanding of geological principles, mineral systems, and structural geology relevant to mining.
- Experience with data integration and 3D geological modeling.
- Excellent analytical, problem-solving, and critical thinking skills.
- Strong report writing and presentation skills.
- Master's or Ph.D. in Geology, Earth Science, or a related field with a specialization in remote sensing or geoinformatics.
- Experience with programming languages like Python or R for data analysis is a significant plus.
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7
Remote Graduate Trainee - Data Analysis
1100 Manama, Capital
BHD20 Hourly
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Posted 17 days ago
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Our client is offering an exciting opportunity for a motivated Remote Graduate Trainee to embark on a career in Data Analysis. This fully remote internship provides recent graduates with hands-on experience in collecting, cleaning, analyzing, and interpreting data to derive meaningful insights. You will work closely with experienced data professionals, contributing to real-world projects and developing essential analytical skills. The ideal candidate is a recent graduate with a strong academic background in a quantitative field, excellent analytical abilities, and a keen interest in data science and business intelligence. This program is designed to provide a comprehensive learning experience, fostering professional growth and setting the foundation for a successful career in data analysis. Key Responsibilities: Assist in collecting and organizing data from various sources. Perform data cleaning and preprocessing to ensure accuracy and consistency. Conduct exploratory data analysis to identify patterns, trends, and outliers. Support senior analysts in building and testing data models. Generate reports and visualizations to communicate findings effectively. Learn and apply various data analysis techniques and tools. Collaborate with team members to understand project requirements and objectives. Participate in team meetings and contribute to discussions. Assist in documenting data processes and methodologies. Develop proficiency in data analysis software and programming languages. Identify opportunities for process improvement in data handling and analysis. Gain exposure to different aspects of the data analysis lifecycle. Contribute to ad-hoc data requests and analytical tasks as needed. Qualifications: Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field, obtained within the last 12-18 months. Strong understanding of statistical concepts and data analysis principles. Proficiency in Microsoft Excel, including formulas, pivot tables, and data visualization. Familiarity with programming languages such as Python or R is a significant plus. Excellent analytical, problem-solving, and critical-thinking skills. Strong attention to detail and commitment to data 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. Prior internship or project experience in data analysis is advantageous. Enthusiasm for data-driven decision-making.
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8
Agronomist - Remote Sensing & Data Analysis
444 Al Seef
BHD95000 Annually
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Posted 22 days ago
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We are seeking a highly motivated and skilled Agronomist specializing in Remote Sensing and Data Analysis to join our innovative agricultural technology company. This role is fully remote, offering flexibility and the opportunity to contribute to sustainable farming practices globally. The ideal candidate will possess a strong background in agronomy, combined with expertise in analyzing satellite imagery, drone data, and other geospatial information to provide actionable insights for crop management. You will be responsible for developing and implementing remote sensing strategies, processing and interpreting vast datasets, and translating findings into practical recommendations for farmers and agricultural businesses. This role requires a deep understanding of crop physiology, soil science, and the application of GIS and remote sensing technologies. You will work closely with our data science and agricultural expert teams to develop predictive models, optimize resource allocation (e.g., water, fertilizers), and monitor crop health. Your contributions will be vital in enhancing yield, improving sustainability, and driving efficiency in modern agriculture.
Responsibilities:
Qualifications:
Join us in revolutionizing agriculture through data and technology, working remotely from your home base.
Responsibilities:
- Develop and manage remote sensing programs for agricultural applications using satellite, aerial, and drone imagery.
- Process, analyze, and interpret geospatial data (e.g., NDVI, EVI, thermal imagery) to assess crop health, identify stress factors, and estimate yields.
- Apply GIS and remote sensing software (e.g., QGIS, ArcGIS, ENVI, Google Earth Engine) for data analysis and visualization.
- Develop and refine algorithms for crop classification, land cover mapping, and change detection.
- Collaborate with agronomists and soil scientists to integrate remote sensing data with ground-truth information.
- Provide data-driven recommendations for precision agriculture practices, including irrigation, fertilization, and pest/disease management.
- Develop predictive models for crop performance and risk assessment based on environmental factors and imagery.
- Create clear and concise reports, maps, and presentations for clients and internal teams.
- Stay updated on the latest advancements in remote sensing technology, GIS, and agricultural science.
- Contribute to the development of new data products and services.
- Train and support field teams on data collection protocols and interpretation.
Qualifications:
- Master's degree or Ph.D. in Agronomy, Soil Science, Agricultural Engineering, Geography, or a related field with a strong focus on remote sensing and GIS.
- Minimum of 4 years of hands-on experience in applying remote sensing and GIS techniques to agriculture.
- Proficiency in relevant software such as ArcGIS, QGIS, Google Earth Engine, ERDAS Imagine, or ENVI.
- Strong understanding of agronomic principles, crop physiology, and soil science.
- Experience with image processing and analysis for vegetation indices, spectral analysis, and time-series analysis.
- Familiarity with drone data acquisition and processing workflows.
- Excellent analytical, statistical, and problem-solving skills.
- Proficient in programming languages commonly used in data analysis (e.g., Python, R) is a plus.
- Strong written and verbal communication skills, with the ability to present complex data effectively.
- Proven ability to work independently and collaboratively in a remote setting.
Join us in revolutionizing agriculture through data and technology, working remotely from your home base.
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