At a Glance
- Tasks: Lead data delivery for analytics projects and ensure timely, accurate insights.
- Company: Mission-driven energy company focused on data-driven decision making.
- Benefits: Joint-contribution pension, enhanced family leave, life assurance, and virtual GP.
- Other info: Opportunity to work with Agile practices and enhance your career.
- Why this job: Shape the future of data in a dynamic and impactful environment.
- Qualifications: Strong project management skills and ability to motivate teams.
The predicted salary is between 51750 - 63250 £ per year.
Overview
In this role, you will lead end-to-end data delivery for analytics and regulatory reporting projects, coordinating across analysts, engineers, and testers.
You will liaise with stakeholders, manage data migration lifecycles, and ensure timely, accurate, and compliant insights.
You drive Agile practices, optimize delivery processes, and shepherd projects from inception to final deployment.
This is a chance to shape data-driven decision making within a mission-driven energy company.
- Pay / Benefits
- joint-contribution pension
- enhanced maternity & family leave
- life assurance
- Holiday Plus
- Virtual GP
- Employee Assistance Programme
Responsibilities
- Lead delivery for data projects and ensure on-time quality outcomes
- Engage stakeholders daily and translate needs to the delivery team
- Oversee end-to-end data migration (ETL) with reconciliation for audit compliance
- Own delivery tooling and project reporting (Jira) and promote Agile practices
- Manage team priorities, standups, and backlog refinement
- Coach and motivate teams to perform under pressure
- Translate data into actionable business insights
- Support regulatory reporting and business information delivery
- Key requirements
- strong project management skills with track record of meeting deadlines
- ability to motivate teams and manage conflicting demands
- high attention to detail and solid numerical understanding
- ability to translate data into actionable insights
- technical knowledge of data reporting; experience with SQL would help
- experience communicating with stakeholders and cross-functional teams
- communication
- leadership
- adaptability
- SQL
- data reporting
- Jira
Data Delivery Lead ( A&I) in Portsmouth employer: Scotia Gas Networks
SGN is an award-winning employer that prioritises employee well-being and professional growth, offering a hybrid work model in the vibrant area of Farringdon. With a strong focus on inclusivity, competitive benefits such as enhanced family leave, and opportunities to lead transformative projects, SGN fosters a collaborative culture where every team member contributes to delivering safety and comfort to millions. Join us to be part of a pioneering organisation committed to innovation and sustainability in the energy sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Delivery Lead ( A&I) in Portsmouth
✨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 Scotia Gas Networks.
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We think you need these skills to ace Data Delivery Lead ( A&I) in Portsmouth
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Scotia Gas Networks, 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 Scotia Gas Networks. 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 Scotia Gas Networks
✨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!
✨Showcase Your Projects
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
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Scotia Gas Networks!
✨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.
