About the role
The role is responsible for gathering business, strategic, market and competitors’ data in different ways, including mining our own data, competitor data, and industry trends. With the data collected, the Business analyst will help develop the company’s understanding of new and existing markets as well as support the Sales department with analytics of performance and modelling of opportunities.
The role is highly analytical and requires a balance of big data analysis, communication, and problem-solving skills. The analyst is expected to transform data into insights that drive business value.
Using data analytics, data visualization, and data modelling techniques and technologies, the analyst should be able to unearth insights from the data that can help other departments, managers, and executives make business decisions to improve sales performance.
Duties and Responsibilities
- Market Policy and Business Analysis: Produce reports detailing new and emerging market evolutions and opportunities. Gather data from a range of internal and external stakeholders and provide detailed commercial analysis for the Senior Leadership team.
- Business modelling: Model and present quantitative and qualitative risks & opportunities from existing and emerging markets to support decision-making by the Senior Leadership team.
- Decks and business proposals crafting for internal and external audiences: Under the supervision of the Head of Sales produce compelling presentations, pitches, and proposals to support internal decision-making and sales efforts with clients.
- Project Management: Support the sales executive in identifying and engaging with the key stakeholders identified in new and existing markets.
- Special Projects: Carrying out specific tasks – as defined by the Head of Carbon Sales – falling outside the scope of the role in question.
- Commercial Admin: Support the Head of Carbon Sales with analytics of past performance and modelling of the sales pipeline.
Skills and Experience
- 2+ years’ experience in a high-profile consulting firm (preferably international) with a proven track record in qualitative and quantitative data analysis and modelling, market analysis and strategic recommendations.
- Excellent written and oral communication skills with a proven track record of presenting analysis and business cases in front of external audiences.
- Ability to work efficiently and collaboratively in formal and informal settings with a diverse range of stakeholders across different departments.
- Excellent networking skills.
- Enthusiastic, proactive, organized, creative, a desire to ‘sell for good’ and a willingness to get your ‘hands dirty’.
- Professional experience with carbon markets and/or high-impact projects will be a strong plus.
- Professional experience in Europe/North America or South-East Asia will be a strong plus.
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About the Role:
BURN is seeking a skilled and experienced Data Engineer or Data Pipeline System Designer to develop & deploy the articulated solution. The role involves designing and deploying an end-to-end data pipeline system that centralizes data from various sources and enables data professionals to easily query the data. Additionally, the system should allow users to easily pull up all relevant information for a product and customer using a consumer-friendly user interface.
Duties and Responsibilities:
- Design and deploy an end-to-end data pipeline system that centralizes and processes large volumes of structured and unstructured data from various sources.
- Develop user-friendly interfaces that enable users to easily pull up relevant information for a product and customer.
- Collaborate with data scientists, data analysts, and other stakeholders to understand data requirements and design data solutions that meet their needs.
- Design and implement efficient data extraction, transformation, and loading (ETL) processes to populate the pipeline with data from various sources.
- Build and maintain robust data pipelines that ensure data is accurate, up-to-date, and easily accessible.
- Develop and maintain data models, data schemas, and data dictionaries.
- Use APIs, batch exports, and SQL queries to extract data from various sources and integrate it into a SQL database.
- Perform data cleaning, data transformation, and data integration tasks to ensure data quality and consistency.
- Collaborate with data analysts, data scientists, and other stakeholders to ensure data is processed and analyzed effectively.
- Monitor and optimize data pipelines to ensure they are performing efficiently.
Success for the role will be measured by delivering within the first few months of the following,
- Successful deployment of the end-to-end data pipeline system, including system implementation, ETL processes, and data handling capabilities within the first few months.
- Data accessibility and usability are measured by ease of use of user-friendly interfaces and speed of accessing relevant information.
- Data quality and consistency are monitored through data accuracy, completeness, consistency, and integrity.
- Collaboration and stakeholder satisfaction are measured by feedback from stakeholders on the effectiveness of data solutions and maintaining positive working relationships.
Skills and Experience:
- Bachelor’s degree in computer science, Information Systems, or related field.
- At least 5 years of experience in designing and deploying end-to-end data pipelines.
- Strong knowledge of SQL, ETL tools, and data warehousing concepts.
- Experience working with APIs, batch exports, and SQL queries to extract data from various sources.
- Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform.
- Strong data analysis and problem-solving skills.
- Experience working with Microsoft Dynamics, open-source data systems like KOBO, and Call Center platforms would be an added advantage.
- Excellent communication skills and ability to work in a team environment.
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