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- Tasks: Join us as a Data Business Analyst to enhance our Pre-Trade system for energy trading.
- Company: Be part of a leading Energy Trading company focused on innovative data solutions.
- Benefits: Enjoy a competitive salary up to £110,000, bonuses, and hybrid working options.
- Why this job: Make a real impact by bridging data management and trading decisions in a dynamic environment.
- Qualifications: Experience with Data Warehouse, Snowflake, MongoDB, and PowerBI is essential.
- Other info: This project team role offers growth opportunities and a chance to shape future features.
The predicted salary is between 66000 - 77000 £ per year.
A Data Business Analyst is required for an Energy Trading company working on an in-house Pre-Trade system leveraging Data Warehouse, Snowflake, and MongoDB. This Pre-Trade system is designed to ingest, store, and process data from various sources, including Bloomberg and similar providers, which will help non-technical traders in making informed decisions before executing trades.
As a Data Business Analyst, you will oversee the ingestion of data from external providers into the Pre-Trade system, ensure accurateness, and collaborate with data providers and junior members of the team. You will implement data governance practices for integrity and security within this domain capacity, managing the ingested data within the data warehouse using Snowflake and MongoDB.
From a stakeholder management perspective, you will showcase the functionality of the Pre-Trade system to stakeholders, demonstrating how this data is used for Pre-Trade analysis which will ultimately help with decision making prior to trade execution. You will be working closely with non-technical traders to understand their data needs and process requirements. This role is crucial for bridging the gap between technical data management and non-technical trading decision-making, ultimately contributing to the success of the trading operations.
You will need to generate reports and dashboards within PowerBI to provide insights into the data and systems performance, analyse data trends and patterns, then present to the stakeholders. This is a project team which will last until the end of the year, then move into a custodian team. You will need to bring the current project to BAU stage, followed by new features to be added throughout the project.
Experience needed for this Data Business Analyst role:
- Commercial experience in Data Warehouse, Snowflake, MongoDB, and PowerBI.
- Understanding of Energy Trading markets and concepts – working in a Front Office environment.
- Experience of setting up new products and understanding requirements from stakeholders.
- Implementing data governance practices and the importance of doing so.
If you are interested in this Data Business Analyst role, please reply to this ad with your updated CV or send it directly.
Data Business Analyst – Energy Trading | Pre-Trade System – Greenfield | Up to £110,000 + bonus[...] employer: VirtueTech Recruitment Group
Contact Detail:
VirtueTech Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Business Analyst – Energy Trading | Pre-Trade System – Greenfield | Up to £110,000 + bonus[...]
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake and MongoDB. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Understand the energy trading market and its key concepts. Being able to speak knowledgeably about how data impacts trading decisions will demonstrate your commitment and understanding of the role.
✨Tip Number 3
Prepare to showcase your stakeholder management skills. Think of examples where you've successfully communicated complex data insights to non-technical audiences, as this is crucial for the role.
✨Tip Number 4
Brush up on your PowerBI skills, especially in creating reports and dashboards. Being able to present data visually will be a key part of your role, so having examples ready can help you stand out.
We think you need these skills to ace Data Business Analyst – Energy Trading | Pre-Trade System – Greenfield | Up to £110,000 + bonus[...]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Warehousing, Snowflake, MongoDB, and PowerBI. Emphasise any previous roles in Energy Trading or similar environments to demonstrate your understanding of the market.
Craft a Compelling Cover Letter: Write a cover letter that specifically addresses the requirements mentioned in the job description. Discuss your experience with data governance practices and how you can bridge the gap between technical data management and non-technical trading decision-making.
Showcase Your Analytical Skills: In your application, provide examples of how you've generated reports and dashboards in PowerBI. Highlight any specific projects where your analysis led to improved decision-making or operational efficiency.
Highlight Stakeholder Management Experience: Mention any experience you have in stakeholder management, particularly in a Front Office environment. Describe how you've successfully gathered requirements from stakeholders and implemented new products based on their needs.
How to prepare for a job interview at VirtueTech Recruitment Group
✨Understand the Energy Trading Landscape
Familiarise yourself with the basics of energy trading and the specific markets involved. Being able to discuss current trends and challenges in the industry will show your genuine interest and understanding of the role.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Data Warehousing, Snowflake, MongoDB, and PowerBI. Bring examples of how you've used these tools in past projects, especially in relation to data ingestion and governance.
✨Prepare for Stakeholder Interaction
Since this role involves working closely with non-technical traders, practice explaining complex data concepts in simple terms. Think of examples where you've successfully communicated technical information to non-technical stakeholders.
✨Demonstrate Problem-Solving Abilities
Be ready to discuss how you've approached challenges in previous roles, particularly in setting up new products or managing data integrity. Highlight your analytical skills and how they can contribute to effective decision-making in trading operations.
