Data Analyst

Overview

Data Analyst

Location: UK or UAE (remote)

About Us :

Amini is a dynamic, fast-growing deep tech startup. We are building environmental data infrastructure for Africa and the tropical belt. Amini is at the forefront of cutting-edge technology, utilizing Geospatial Data and AI / Machine Learning capabilities to solve environmental data scarcity for countries in the global south.

We provide our deep tech solutions to global private sector companies across a range of sectors. This represents a fantastic opportunity to join us in building an innovative company and groundbreaking solutions in partnership with some of the biggest tech companies in the world, to bring radical changes at the continental level and contribute to fighting the effects of climate change.

Our passion and energy for our mission are truly infectious. We envision Africa as a catalyst for global transformation by empowering our ecosystem through data and resolving the inequalities stemming from environmental data… scarcity, we aim to foster opportunities and enable the prosperity of over 1 billion people by 2030. At Amini, we empower our partners and customers to leverage artificial intelligence for innovation, growth, equality, and success.

Our core values of Collaboration, Innovation, Trust, Integrity, Humility, and Passion are at the heart of everything we do.

Our team embodies inclusivity, diversity, agility, and dynamism. Comprising highly skilled experts, we recognize the transformational nature of our work while remaining humble, ego-free, and non-hierarchical. We believe in fully utilizing our skills and experiences, sharing ideas, and making a collective impact to drive change and positively influence the AI industry and billions of lives.

The role:

Working in our dynamic team of geospatial data scientists, machine learning engineers, researchers, and data analysts, where collaboration and competence are at the core of everything we do. Our approach to problem-solving is deeply rooted in scientific principles, with a keen focus on generating meaningful outcomes that address real-world challenges. We are dedicated to designing innovative methodologies and analytics workflows, rigorously experimenting, and consistently measuring and evaluating the accuracy of our results.

Our commitment extends beyond technological advancement. By working closely with the Engineering, Operations, Business, and Product teams, we ensure that our solutions are strategically aligned with our company’s goals, and make a significant positive impact on society.

The type of work you will be doing:
• Data Interpretation and Analysis: interpret data and insights from our platform and translate it into compelling data stories, often finding the needle in a haystack in mounds of data and information
• Data Cleaning & Transformations: perform data cleaning & precise data transformations to generate project-specific datasets that align with customer needs, ensuring tailored and impactful insights
• Dashboards and Reports: build enterprise-ready, compelling dashboards and reports on Tableau, Microsoft PowerBI, and our proprietary web application, ensuring accessibility and comprehensibility of data and insights
• Data Validation: ensure data integrity by validating, cross-checking and cleaning the data as needed
• Data Maintenance and Optimization: responsible for maintaining the health and performance of our databases, as well as optimizing data retrieval and storage processes
• User feedback analysis: engage with the Business and Product teams to integrate feedback, driving continuous improvement in data visualisation and utility

What you will need:
• You will love solving problems and helping others derive insights out of complex datasets through dashboards, data stories, insights, and reports. You have an interest in geospatial and environmental data. You enjoy transforming data into knowledge and actionable insights. Most importantly, you are impact-driven and you understand our mission and want to be part of our journey in enabling Africa to transform the world, by empowering our ecosystem through data and fostering opportunities for a billion lives.*

Proven experience in data analysis and can demonstrate:
• Solid experience in and knowledge of Tableau and Microsoft PowerBI, having built your own dashboards
• Experience with spatial analysis and GIS tools (e.g., QGIS, ArcGIS)
• Understanding of statistical concepts
• Proficiency in SQL and programming skills in Python or R
• Understanding of data science and analysis principles
• Analytical skills in picking out and understanding key insights from the data
• Documentation and project management skills
• Business acumen and awareness to help understand implications and ROI of insights and data stories
• Excellent communication and leadership skills to deliver data-driven insights at an executive level
• Bachelor’s degree in a relevant field (e.g., Computer Science, Geospatial Data Science, Mathematics, Statistics, etc.)
• Embody Amini’s mission, vision, and values

Why Join Amini:
• Be part of a groundbreaking AI startup at the forefront of innovation
• Be instrumental in a truly transformational mission, positively impacting billions of lives
• Our people and team Culture – it really is special. Work in a non-hierarchical, open, positive environment, where egos are left at the door and people are happy to come to work
• Collaborate and learn with a highly skilled, talented, and inclusive team of professionals.
• Massive opportunity for career growth and development
• Competitive salary and benefits package
• Make a meaningful impact on the future of AI technology
• Remote and hybrid working opportunities
• Laptop and all necessary technology tools provided for effective remote working

If you’re a collaborative, resourceful professional with a wealth of experience in this field, a passion for working alongside truly exceptional individuals and our core values resonate with you, we invite you to apply and join us in shaping the future of AI

Company:

Amini

Qualifications:

Language requirements:

Specific requirements:

Educational level:

Level of experience (years):

Senior (5+ years of experience)

Tagged as: Data Analysis, Data Visualization, Industry, Italy, Machine Learning, NLP