At a Glance
- Tasks: Lead data projects from start to finish, ensuring timely and accurate delivery.
- Company: Join SGN, a pioneering energy company transforming the gas industry.
- Benefits: Enjoy competitive pay, inclusive culture, and opportunities for professional growth.
- Other info: Diverse backgrounds welcomed; we value unique perspectives and experiences.
- Why this job: Make a real impact in energy delivery while working with innovative technologies.
- Qualifications: Project management skills and experience with data reporting tools like SQL.
The predicted salary is between 54450 - 66550 £ per year.
The Data Delivery Lead (Analytic & Insights) is responsible for overseeing the entire lifecycle of our data projects, from initial stakeholder engagement, through data collection and transformation to final delivery, ensuring accurate, timely, and compliant data and insight is provided to stakeholders while managing project timelines, risks, and dependencies across a team; essentially acting as the primary point of contact for delivery.
Reporting to the Technical Delivery Manager (Data and Analytics) , you will be part of a team of Technical Business Analysts , Data Engineers , Data Analysts and Testers that continually deliver Business Information and Regulatory reporting .
We deliver safety, warmth, and comfort to homes and businesses.
Every role, whether in the office or on the front line, plays a key part in this mission.
Here's how you will contribute...
You will become the lead person in a delivery silo or large project - that enable the Analytic team to deliver a quality on time project, or work bundle .
You will communicate daily with the project stakeholders and relay this information to the team working on the work package .
Manage the day-to-day delivery for the E2E data migration including extract, transform, load and reconciliation process to ensure automation, repeatability, volume, and financial reconciliation to comply with business and audit requirements in partners
Be the expert in out delivery software (Jira) and continually improve the way we work and the reporting of projects. Promoting the Agile methodology of the team.
Manage the priorities for the team by supporting standups and backlog management and refinement.
- Able to show strong project management skills with proven ability to meet deadlines and report over the path of the project.
- Able to coach and motivate teams to deliver results under pressure and with conflicting demands.
- Attention to detail and have a good numerical understanding.
- Able to translate data into actionable business insights.
- Technical knowledge of Data reporting and use of tooling such as SQL ( Ex Developer) would help in this position.
Research shows some people - particularly women and those from underrepresented backgrounds - may hesitate to apply unless they meet every criteria.
At SGN , we value diverse backgrounds, experiences and perspectives.
If this role interests you but you're not sure you tick every box, we'd still love to hear from you. You might be just who we're looking for - now or in the future.
Why SGN?
SGN leads pioneering research and development for a net-zero energy system.
Our innovative technologies are transforming the gas industry while keeping people safe and warm.
We are an award-winning employer, including CCA Gold Awards for Great Places to Work and Inclusivity and Accessibility , and a proud Gold member of the Armed Forces Covenant.
About us | Benefits | Diversity and inclusion
If you require any accommodations or support during the application process, reach out to us. We're here to help ensure an inclusive and accessible experience for everyone.
Why SGN With over 85 years of experience behind us, we’re leading the way in energy delivery.
SGN manage the network that distributes natural and green gas to 5.9 million homes and businesses across Scotland and the south of England.
Whoever your supplier is, our pipes deliver gas safely, reliably and efficiently to every one of our customers.
It's your gas, in our network.
- Find out more about SGN
- #J-18808-Ljbffr
Data Delivery Lead ( A&I) in Preston 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 Preston
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Scotia Gas Networks!
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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 Preston
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.
