Uphold and deliver data strategy aligned with business goals and industry best practices.
Enforce data governance policies and procedures to ensure data quality, integrity, and security.
Ensure compliance with data protection regulations and standards, such as GDPR, and implement measures to safeguard customer and company data.
Front end engineering using Python, SQL, DAX and M Language from established data warehouse solutions.
Adopting and practising new languages and practices to enhance data capabilities within the organisation.
Drive the development of advanced analytics capabilities to extract valuable insights from large datasets.
Collaborate with business stakeholders to define and deliver actionable reports and dashboards.
Create and enhance data visualizations in tools such as PowerBI and Tableau
Collaborate with business stakeholders to ensure the visualisations are providing insight to action.
Work closely with cross-functional teams, including IT, finance, marketing, and operations, to understand their data needs and provide strategic guidance.
Document and advise departmental analysts on best actions and process improvement.
Contribute to the Key Performance Indicators (KPIs) related to data quality, analytics, and business impact.

Requirements

Proven experience in a data analyst role with data warehouse and visualisation software.
Strong understanding of the energy industry and related data challenges or ability to adapt and learn new information effectively and efficiently.
Strong delivery in query resolution, stakeholder management and ability to problem solve intermediate data challenges.
Intermediate knowledge and skill within Python, SQL and JSON coding languages
Over 12 months experience working with back-end technologies Snowflake, Databricks, Fabric.
Over 12 months experience working with front-end technologies Tableau, PowerBI, Looker.
Strong knowledge of data governance, architecture, analytics, and emerging technologies.
Excellent communication skills with the ability to convey technical concepts to non-technical stakeholders.
Familiarity with regulatory requirements, especially in the context of data protection and privacy.
Degree, qualifications or experience in a data specialist role.

Benefits

24 Days Annual Leave + 1 Day Birthday Leave + Bank Holidays
Holiday Buy – up to 5 additional days
Employee Assistance Programme
Annual Salary Review
Learning and development opportunities
Enhanced paternity, maternity and adoption policies
Yü made a difference Awards.
3 days additional annual leave if you get married/civil partnership etc.
Appointment allowance
Long service recognition
Refer a friend payment.
Company sick pay (subject to length of service)
New modern facilities
Death in service and critical illness cover
Plus, many more

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonSQLDAXM LanguageJSONdata governancedata architectureanalyticsdata visualizationquery resolution

Soft Skills

stakeholder managementproblem solvingcommunicationcollaborationprocess improvementadaptabilitystrategic guidancedeliveryinsight generationinterpersonal skills

Certifications

degree in data specialization