At a Glance
- Tasks: Join our team to migrate energy data and build data models using SQL and Google BigQuery.
- Company: UW is revolutionising utilities with one bill for energy, broadband, mobile, and insurance.
- Benefits: Enjoy a competitive salary, discounts on services, family-friendly policies, and private health insurance.
- Why this job: Be part of a major data migration project at an award-winning FTSE 250 company with big ambitions.
- Qualifications: Experience in data migration, Gentrack Junifer, SQL, and Google BigQuery is essential.
- Other info: This is a fixed-term contract for 6 months, with opportunities for growth and development.
The predicted salary is between 43200 - 72000 £ per year.
Company Description
Hi! We\’re UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings!
We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you.
Got your attention? Read on…
The challenge
We are seeking an Energy Migration Senior Data Analyst to join our Home Services Energy Data Team to assist with the migration of our Energy Portfolio from UW legacy application to Gentrack Junifer. This is an exciting opportunity to contribute to a major data migration project in an award winning energy provider and UK FTSE 250 company.
Please note that this is a fixed term contract, initially for 6 months starting in June. We can consider fixed term or day rate contract – please indicate your preference in your application.
The migration work will have two parts:
a) Migration of portfolio from our UW legacy CRM system to Gentrack.
b) Build extract scripts to pull data from Gentrack Junifer database and load the data into UW BigQuery data warehouse to assist with management, regulatory, operational and other reports.
This role will be particularly focussed on (b) above and will include: interpreting Junifer data models, build ETL scripts, and populate energy data models in our UW BigQuery environment.
We deliver progress. What you’ll do and how you will make an impact.
This role would need:
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Experience in data migration projects (ideally energy platform migration).
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Experience in Gentrack Junifer application/ data models.
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Experience in building data warehouse data models.
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Proficient in SQL as both data extraction scripts and data loading scripts will be sql based.
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Experience working with Google BigQuery and Dataform environments.
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Experience in working collaboratively with a multitude of teams to meet the timelines and deliverables.
What you’ll do
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Analyse Gentrack Junifer data models to understand their data structures.
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Write complex SQL queries to extract, transform, and load large datasets using Google Dataform and other tools.
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Work collaboratively with the wider energy data team to re-model and populate data warehouse data models in UW BigQuery.
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Work closely with cross-functional teams to understand their data needs and provide relevant analyses.
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Validate and clean data to ensure accuracy and reliability for analyses.
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Maintain clear documentation for data processes, transformations, and best practices to ensure long-term maintainability and team-wide understanding.
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Support the preparation and creation of regulatory reports.
- Provide technical guidance to those less familiar with Junifer databases and Gentrack architecture, as well as making the most of opportunities to share knowledge and empower others.
So why pick UW?
We’ve got big ambitions so there’s going to be plenty of challenges. There are also a lot of benefits:
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An industry benchmarked salary. We’ll share it during your first conversation.
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Discount on our services and you get our coveted Cashback Card for free.
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Family-friendly policies, designed to help you and your family thrive.
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Discounted private health insurance, access to an Employee Assistance line and a free Virtual GP.
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Belonging groups that help UW shape an even more inclusive future.
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A commitment to helping you develop and grow in your role.
Apply here!
You’ve got this far… Hit apply – we can’t wait to hear from you! Worried you don’t hit all the criteria? We welcome applications from diverse and varied backgrounds so get your application in and let’s chat!
Martyna Zbyszewska will be your point of contact throughout the recruitment process.
Additional Information
Not sure you meet all the requirements? Let us decide! Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification, when in fact they often do.
We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation.Please don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered.
Please note, if you are successful and offered a role at UW, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.
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Energy Migration Senior Data Analyst employer: DataAnalystJobs.io
Contact Detail:
DataAnalystJobs.io Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Energy Migration Senior Data Analyst
✨Tip Number 1
Familiarise yourself with Gentrack Junifer and its data models. Understanding the intricacies of this application will give you a significant edge during discussions and interviews, showcasing your proactive approach and technical knowledge.
✨Tip Number 2
Brush up on your SQL skills, particularly in writing complex queries. Since the role heavily involves data extraction and transformation, demonstrating your proficiency in SQL during any technical assessments or conversations can set you apart from other candidates.
✨Tip Number 3
Network with professionals in the energy sector, especially those who have experience with data migration projects. Engaging with industry peers can provide valuable insights and potentially lead to referrals that could enhance your application.
✨Tip Number 4
Prepare to discuss your experience with data warehousing and Google BigQuery. Be ready to share specific examples of past projects where you've successfully built data models or collaborated with cross-functional teams, as this will demonstrate your relevant expertise.
We think you need these skills to ace Energy Migration Senior Data Analyst
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of the Energy Migration Senior Data Analyst position. Familiarise yourself with data migration projects, Gentrack Junifer, and Google BigQuery.
Tailor Your CV: Customise your CV to highlight relevant experience in data migration, SQL proficiency, and any work with energy platforms. Use specific examples that demonstrate your skills and achievements related to the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your enthusiasm for the role and the company. Mention your experience with data models and ETL processes, and explain how you can contribute to UW's mission and goals.
Highlight Collaborative Experience: Since the role involves working with cross-functional teams, emphasise any past experiences where you successfully collaborated with others. This will show your ability to communicate effectively and meet project timelines.
How to prepare for a job interview at DataAnalystJobs.io
✨Showcase Your Data Migration Experience
Make sure to highlight your previous experience with data migration projects, especially in the energy sector. Be prepared to discuss specific challenges you faced and how you overcame them, as this will demonstrate your capability to handle the responsibilities of the role.
✨Familiarise Yourself with Gentrack Junifer
Since the role involves working with Gentrack Junifer, take some time to understand its data models and architecture. Being able to speak knowledgeably about how it integrates with data warehousing will impress your interviewers and show your commitment to the position.
✨Prepare for SQL Challenges
As proficiency in SQL is crucial for this role, brush up on your SQL skills before the interview. You might be asked to solve a problem or write a query on the spot, so practice writing complex queries that involve data extraction and transformation.
✨Demonstrate Collaborative Skills
This position requires working closely with various teams, so be ready to discuss your experience in collaborative environments. Share examples of how you've successfully worked with cross-functional teams to meet project deadlines and deliverables.