Job Position: Graduate Data Analyst - via the Graduate Development Programme Location: Cambridge Starting Salary: £26,800 Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject and experience in analysing data Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants.
What you'll be doing Working within the Technical Reporting and Warranty teams, you will have exposure to the best luxury cars in the world and how data and aftersales influence the customer experience. The main aim and responsibility is to improve and enhance the Bentley Warranty system and its capabilities and tools. Resilience with Flexibility: Demonstrate tenacity and resilience, yet remain adaptable to the needs of those around you. Education: The successful candidates will be on track to achieve a 2:1 in the following degrees: Business or other Technical degrees. #BelongingAtBentley Motivated to be the most diverse, inclusive luxury car company, we are committed to fostering an inclusive environment where all individuals are respected, valued, and empowered.
What you'll be doing Our HR Data Analyst Industrial Placement offers Graduates or Undergraduates from a range of technical Degree disciplines a unique placement at the heart of our core business activities. The department positions Bentley as an employer of choice and focuses on creating a seamless career journey for employees from hire to retire. Resilience with Flexibility: Demonstrate tenacity and resilience, yet remain adaptable to the needs of those around you. #BelongingAtBentley Motivated to be the most diverse, inclusive luxury car company, we are committed to fostering an inclusive environment where all individuals are respected, valued, and empowered.
We have a passion for using technology to solve business problems, working in partnership with our clients to help in achieving their goals. In addition to a Competitive Salary, here's what you can expect as part of our benefits package: Personalised Career Development: We create a development plan customised to your goals and aspirations, with a range of learning and development opportunities within a culture that encourages growth.
Job Position: Digital Graduate - Data Analyst Location: Central London Starting Salary: £26,800 Requirements: Minimum 2:1 or above in a STEM subject and experience in analysing data Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants.
The successful applicant will bring fresh data solutions and ideas for the variety of client projects, covering the way the data is collected, stored, applied and presented. This is an opportunity to join a fast-growing unit and to play a key role in its development and growth. Work with the data team to determine the best data infrastructure to maximise analysis. Commercially strong and particularly in story-telling skills to key stakeholders and clients. Technically self-sufficient with a desire and ability to research and pick up new tools and techniques quickly. Experience in managing a small data team and mentoring.
Job Position: Graduate Data Analyst - via the Graduate Development Programme Location: Aberdeen Starting Salary: £24,000 Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject and experience in analysing data Additional Requirements: This role requires a minimum of three days working in the office Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants.
If you share our belief in the power of people and our passion for human-centric innovation, you will thrive together with brilliant, like-minded colleagues who are committed to making a true difference. We celebrate diversity and inclusion in the workplace and are committed to equality of opportunity for all employees and employment practices, including hiring, recruiting, and promotion.
Responsibilities: • Collect, process, and analyze large and complex data sets from various sources • Identify trends and patterns in the data that can help the company make informed business decisions • Develop and maintain dashboards, reports, and data visualizations that can be used by different teams across the organization • Collaborate with other members of the team to identify data quality issues and recommend solutions to address them • Work with stakeholders to decide how best to integrate data from various sources and ensure data accuracy • Communicate findings and insights to different stakeholders in the organization through presentations and reports • Continuously monitor and evaluate data performance to identify opportunities for improvement Requirements: • Bachelor's degree in a relevant field such as computer science, data science, statistics, or mathematics • Some experience working as a data analyst, product analyst or a similar role • Strong analytical skills and the ability to work with large and complex data sets • Proficient in Python, SQL, Excel, and other data analysis tools • Experience with data visualization tools such as Tableau, Looker Power BI or similar • Excellent communication and presentation skills • Ability to work independently as well as part of a team Desired Skills: • Knowledge of statistical analysis and data modeling techniques • Experience with ETL Tools and techniques • Knowledge of data quality concepts and techniques Our work is guided by our values: Reliability - We understand that fans and clients rely on us to power their live event experiences, and we rely on each other to make it happen.
Your responsibilities would include: · Maintaining and improving scripts and backend data using DataBricks and SQL to automate Onyx Research team's publications · Participating in development projects related to new publications and data repositories as the Research team's output grows · Participating in developing new quantitative analysis projects for the Research Team and Quantitative Traders Requirements · Bachelor's or Master's degree in a quantitative field such as computer science, statistics, mathematics, physics, or engineering · The candidate must possess strong coding skills in Python and have knowledge of SQL.