Apprentice Data Analyst, Business Intelligence

CB1 0AA Cambridge, Eastern £18000 annum (appr WhatJobs

Posted 1 day ago

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Job Description

apprenticeship
Our client is a forward-thinking organisation dedicated to data-driven decision-making and is excited to offer a fully remote Apprentice Data Analyst position. This is a fantastic opportunity for an individual with a keen interest in data and analytics to kick-start their career, learn from experienced professionals, and gain hands-on experience in a supportive, virtual environment. You will be instrumental in helping us transform raw data into actionable insights that drive business strategy.

As an Apprentice Data Analyst, you will work closely with our Business Intelligence team, assisting in the collection, cleaning, analysis, and visualization of data. You will learn to use industry-standard tools and techniques to identify trends, generate reports, and contribute to dashboards that provide valuable business intelligence. The role involves developing your understanding of databases, data warehousing concepts, and statistical analysis. You will be provided with comprehensive training and mentorship throughout your apprenticeship, enabling you to grow your skills and contribute meaningfully to our projects. This is an excellent entry point into the world of data analytics, with significant potential for career advancement upon successful completion of the apprenticeship.

Key responsibilities will include:
  • Assisting in the collection and extraction of data from various sources.
  • Performing data cleaning and preparation tasks to ensure data accuracy and integrity.
  • Supporting the analysis of data to identify trends, patterns, and insights.
  • Helping to develop and maintain reports and dashboards using business intelligence tools (e.g., Power BI, Tableau).
  • Learning and applying basic statistical methods for data analysis.
  • Collaborating with team members on data-related projects.
  • Documenting data processes and findings.
  • Developing a strong understanding of data warehousing principles.
  • Contributing to the continuous improvement of data analysis methodologies.
The ideal candidate will have a strong academic background, with A-Levels or equivalent qualifications in subjects such as Mathematics, Computing, or Science. While prior professional experience is not required, a demonstrable passion for data, analytical thinking, and problem-solving skills are essential. A foundational understanding of IT and a willingness to learn new software and technologies are crucial. Excellent communication skills and the ability to work independently and collaboratively in a remote setting are necessary. This is a full-time apprenticeship role designed for individuals eager to build a career in data analytics, offering a structured learning path and the flexibility of remote working.
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Senior Agronomist - Remote Sensing & Data Analysis

CB22 3NN Cambridge, Eastern £50000 Annually WhatJobs

Posted 5 days ago

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full-time
Our client, a forward-thinking agricultural technology company, is seeking an experienced Senior Agronomist with a strong background in remote sensing and data analysis. This is a fully remote position, allowing you to contribute to cutting-edge agricultural innovation from anywhere in the UK. You will play a critical role in developing and implementing advanced data-driven solutions to optimize crop health, yield, and sustainability for agricultural operations worldwide.

As a Senior Agronomist, you will leverage your expertise in geospatial technologies, satellite imagery, drone data, and advanced analytical techniques to provide actionable insights to our clients. Your work will directly contribute to enhancing precision agriculture practices, improving resource management, and supporting sustainable farming initiatives. This role requires a blend of scientific knowledge in agronomy and strong technical proficiency in data processing and interpretation. You will be expected to work independently, manage projects effectively, and communicate complex findings clearly to both technical and non-technical stakeholders.

Key Responsibilities:
  • Utilize remote sensing data (satellite, aerial, drone) to monitor crop health, growth, and identify potential issues.
  • Develop and implement algorithms and models for analyzing agricultural data, including spectral indices, yield prediction, and soil analysis.
  • Interpret complex datasets to provide strategic recommendations for crop management, fertilization, irrigation, and pest control.
  • Collaborate with software developers and data scientists to enhance data processing pipelines and analytical tools.
  • Conduct field validation studies and ground-truthing to ensure data accuracy and model reliability.
  • Communicate findings and recommendations through comprehensive reports, presentations, and dashboards.
  • Support the development and deployment of new precision agriculture technologies and services.
  • Stay abreast of the latest advancements in remote sensing, agronomy, and agricultural data science.
  • Provide technical guidance and mentorship to junior team members.
  • Contribute to research and development projects aimed at improving agricultural efficiency and sustainability.

Qualifications and Skills:
  • Master's or Ph.D. in Agronomy, Crop Science, Agricultural Engineering, or a closely related field.
  • Minimum of 5 years of experience in agronomy, with a significant focus on remote sensing and geospatial data analysis.
  • Proficiency in using GIS software (e.g., ArcGIS, QGIS) and remote sensing platforms (e.g., ERDAS Imagine, ENVI).
  • Strong programming skills in languages such as Python or R for data analysis and statistical modeling.
  • Experience with satellite imagery processing and analysis (e.g., Sentinel, Landsat).
  • Familiarity with agricultural sensors and data acquisition techniques.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong written and verbal communication skills, with the ability to explain technical concepts clearly.
  • Proven ability to work independently and manage multiple projects in a remote setting.
  • Passion for sustainable agriculture and innovative farming practices.

If you are a dedicated agronomist passionate about leveraging technology to transform agriculture and thrive in a remote work environment, we invite you to apply for this exciting opportunity.
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