Senior Data Analyst
ago
Location
Waterloo, London
Hybrid
Salary
£65k+
Experience Level
Entry
Junior
Mid
Senior
Expert
Our Client
Global Energy Company
SPECIALTY
Upstream/Downstream, Bio-Fuels, Integrated Gas, New Energies, Chemicals, Energy and Trading
INDUSTRY
Energy
Company Size
80000+ Employees
Aubay's Take
Our client is one of the Super Major global energy companies with who are working to power progress through cleaner energy solutions. You will have the opportunity to work in a challenging but rewarding environment that is fast paced and changing fundamentally, and work towards transforming the business of a Super Major energy company to meet the ambition to be a net-zero emissions energy business by 2050, whilst delivering a world class business case that has a strong societal license to operate. In your role you will be expected to enact change and deliver value globally across business lines and geographies.
Benefits from Aubay
At Aubay UK, people are at the heart of our business. We offer a competitive remunerations package which includes a range of benefits. You will receive continuous support from our dedicated team of Talent Acquisition Specialists who will support your career development and success during your assignment with our client.
25 Days Annual Leave
Work From Home Opportunities
Pension Scheme
Opportunities to Work Directly with our Client
Training Opportunities
Discount Holidays at I'Aero Chalet
Role Summary
Aubay UK is seeking a Senior Data Analyst to join our client’s dynamic team within the energy sector. This role is an integral part of shaping business demand and collaborating closely with project and product teams. The Senior Data Analyst is responsible for gathering, analysing, and modelling data to develop key performance insights that drive business intelligence. The role involves designing processes, creating reports, and effectively processing large data sets into meaningful information. The successful candidate will act as a key interface between Project and Product Managers, Design Architects, Data Engineers, Testers, and End Users to ensure seamless delivery of business requirements.
Required Skills and Experience
- Expertise in data analysis techniques and processes, with a mastery of best practices in data handling.
- Proficiency in data quality management, including data cleansing, mapping, and integrity assurance.
- Strong experience in data modelling, ensuring structured, scalable, and efficient data solutions.
- Knowledge of data design and ingestion, with hands-on experience in integrating complex datasets.
- Ability to perform data maturity assessments and develop strategic recommendations for data optimisation.
- Proven experience in data integration, ensuring seamless connectivity across multiple data sources.
- Strong analytical skills, particularly in working with unstructured datasets to extract meaningful insights.
Desired Skills and Experience
- Experience managing small teams, providing guidance and mentorship to junior analysts.
- Collibra certification, demonstrating expertise in data governance and management.
- Experience working in a global business environment, with an understanding of multinational data challenges.
- Familiarity with DevOps, Git strategy, and CI/CD pipelines, ensuring efficient data solution deployment.
- Knowledge of BI technologies, leveraging tools to improve business intelligence capabilities.
Key Role Responsibilities
- Collaborate with business stakeholders to gather and document requirements, ensuring alignment with business needs.
- Perform root cause analysis on data-related issues, translating business requirements into functional solutions.
- Develop and maintain data models, dashboards, and reports to enhance business intelligence capabilities.
- Ensure data quality by cleansing and mapping datasets, improving overall data integrity.
- Support the creation of acceptance criteria and validate solutions through testing.
- Communicate complex data insights in a clear, business-friendly manner to stakeholders.
- Identify and implement process improvements to enhance data analysis and reporting efficiency.
- Generate innovative approaches to solve existing problems or capitalise on new opportunities.