This is an exciting opportunity to work in a fast-paced commercial setting, playing a vital role in a real time, data and software driven trading environment. They are looking to work with someone who can develop an understanding of their business and ultimately take ownership for a variety of technical applications and processes on the desk Equal Opportunity Employer We are an Equal Opportunity Employer and take pride in a diverse workforce!
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.
The role is a broad privacy position with a focus on balancing the need for clear and pragmatic privacy advice while ensuring compliance with the laws and regulations governing the supply of energy and services to consumers and businesses. Develop strong stakeholder relationships and networks within the function and the other business units to support the delivery of objectives and the management of risk. You will be a qualified Lawyer who can bring a strong working knowledge of GDPR and a good understanding of other major privacy frameworks. Interpretation of and advice on regulatory and compliance requirements, balancing risk and commercial objectives. We embrace the opportunity to give our colleagues a choice to work from anywhere whilst still ensuring they can connect and engage with their teams through office days, employee networks and virtual events. We are dedicated in helping to close the diversity gap and would love to see more females, people of colour and LGBTQ+ employees, as well as those from a variety of cultures and ethnicity to veterans and the differently abled. This role is being handled by the Centrica recruitment team and NO agency contact is required.
WHAT TO EXPECT Finance are on a journey to become a digital world class organisation and have created an Analytics and AI team, within Finance Transformation, to rapidly accelerate the development and deployment of Finance & Entity Data Products. If you're unsure that you meet the full criteria of a role - but you're interested in where it could take you - we still encourage you to apply.
Curious, tenacious but always sensitive to our clients' context, we are not afraid to speak our minds to help steer our clients towards understanding and achieving their key goals.
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.
Founded in 1901 in Tokyo, Japan, and now present in over 145 countries and regions, it has a proven track record of nurturing and developing innovations, combining the talents of its global network of leadership brands to develop impactful and integrated growth solutions for clients. Be the central owner of this data, responsible for interfacing with stakeholders to ensure key information is surfaced, and shared in a way that aligns with key business metrics. Proficiency in analysing complex data sets, identifying patterns, and deriving insights, with experience in PowerBI The ability to translate data-driven insights into actionable recommendations. We are happy to discuss flexible and agile approaches to working for all our roles - we can't promise we will be able to offer you everything you want or need but we do promise to discuss it with you openly and honestly.
As the Senior Data Engineer your primary responsibilities will include creating and querying graph databases, performing data engineering and reconciliation, and coding for ETL processes. Ensuring new models, reports and data architectures are promoted and published to centralised self-service data warehouses as required. Expertise in ETL coding, data engineering, and reconciliation processes.