At a Glance
- Tasks: Transform data into actionable insights and develop innovative data-driven solutions.
- Company: Join Eseye, a forward-thinking company focused on data analytics and business growth.
- Benefits: Enjoy a corporate bonus, mental health support, hybrid working, and free coffee!
- Other info: Collaborative environment with opportunities for professional development and AWS certifications.
- Why this job: Make a real impact by improving business processes and driving strategic initiatives.
- Qualifications: Strong analytical skills, attention to detail, and experience with SQL and data transformations.
The predicted salary is between 33075 - 40425 £ per year.
Eseye is seeking a highly analytical and detail-oriented Business Data Analyst to help transform data into actionable insights and business value.
Working across multiple teams, you'll develop innovative data-driven solutions, improve business processes and support key strategic initiatives that drive the continued growth of our organisation.
The Business Data Analyst possesses strong data and analytical skills, excellent attention to detail, and a methodical and process-led approach to their work.
The Business Data Analyst works with multiple stakeholders, teams and individually, to develop, test, and maintain data-driven solutions to business challenges.
They leverage AWS and other applications for analytics, BI, ETL, formatting, transformations and other data-oriented solutions.
They work collaboratively with the Engineering and product teams to support the delivery of effective and valuable projects in the organisation.
- Role Responsibilities
- Finding gaps in process flows and building new flows to facilitate the delivery of projects key to the business.
- Managing the investigation of corporate data requirements.
- Documenting data requirements according to the required standards, utilising the prescribed methods and tools to provide insight.
- Implementing data flows to connect operational systems, data for analytics, and BI systems.
- Ensuring that those using data structures and associated components have a good understanding and that any queries are dealt with promptly and efficiently.
- Understanding business requirements and translating them into a technical solution.
- Other ad hoc reasonable and related tasks as required by the Lead Business Analyst.
- Person/Skill Requirements
- Strong communication skills, attention to detail and analytical skills
- Goal and objective focused
- Experience working in agile environments/teams using SCRUM framework
- Willing to take on, drive, and complete projects and tasks relating to data transformation, data warehouse, BI, MI, AI, and machine learning
- Willing to take and pass AWS certifications as necessary for the role
- Strong SQL, T-SQL and query writing skills to intermediate level
- Understanding of ETL and data transformations
- Experience in using GIT & Jira tools
- Experience in, or understanding of data warehouse and data lakes
- Appreciation of AWS tooling and applications for managing and shaping data
- Ability to work as part of a team or individually to deliver assigned tasks and stories as defined by engineering management.
- Company Benefits
- Corporate Bonus Scheme
- Income Protection
- Life Insurance
- Mental Health Support
- EAP Service
- Virtual GP
- Casual Dress Code
- Hybrid Working
- Free Parking
- Free Shuttle Bus Services
- Free Costa Coffee (and many other hot drinks)
- Salary Sacrifice
- EV Car Scheme
- Regular Organised Social Events and Engagement Activities
- Regular Complimentary Lunches/Food
- #J-18808-Ljbffr
Business Data Analyst in Guildford employer: Quona Capital
At Eseye, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters growth and innovation. Our Guildford office provides a supportive environment where Junior Support Analysts can thrive, with access to ongoing training, career progression opportunities, and a range of employee benefits including life insurance, private GP appointments, and generous annual leave. Join us to be part of a collaborative team that values your contributions and encourages you to explore diverse career paths in the technology sector.
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We think this is how you could land Business Data Analyst in Guildford
✨Get Involved in Data Science Meetups
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Quona Capital.
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We think you need these skills to ace Business Data Analyst in Guildford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Quona Capital, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Quona Capital. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Quona Capital
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
