Data Analyst - Customer Operations at Utility Warehouse

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

08 Sep, 26

Salary

0.0

Posted On

10 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Google BigQuery, Google Looker Studio, Data Visualisation, Data Storytelling, Data Modelling, Requirements Gathering, Stakeholder Management, Google Sheets, Statistical Concepts, Data Manipulation, Data Governance

Industry

Utilities

Description

Company Description Location: Remote or Hybrid Hello, we're UW! We’re a bunch of great people working together, solving problems and having fun. Together, we strive to find solutions to help the great people around us get on with the things that really matter in life. How? It’s simple, we take the headache out of essential home services by providing them all in one place - energy, broadband, mobile, and even insurance. That’s one provider, one account, one bill, and lots of savings. We’re a truly unique FTSE 250 company with a business model that has a real social impact at the heart of it. Being a part of the UW community, you’ll join a working environment like no other - one where everyone matters - be it our customers, our partners or you, our people. Job Description We put people first. It’s all about you.. We are looking for a Data Analyst to join our Business Intelligence team. You will work in a team alongside other analysts to develop data pipelines, transform and interrogate data, derive insights and build reports and dashboards for stakeholders, that drive strategic and operational decision-making. Reporting directly to our Business Intelligence Manager you will play a pivotal role in helping us drive our digital transformation whilst not forgetting the human side of every customer interaction. You will help drive efficiency, action and leading customer service through robust measurement, actionable KPIs, reporting, & analytics. Beyond understanding our unique business model you will help us get to know our teams and customer interactions better. Working with operational teams and customer product teams you will model data from business systems to be insight and operations ready. This role is for you if you have: Solid experience in SQL Experience with Google BigQuery preferable Experience working with relational and non-relational data sources Experience using Google Looker Studio (formerly Data Studio), or similar products Data visualisation and data storytelling skills Familiarity with data modelling concepts Experience of requirements gathering and stakeholder management Knowledge of Google Sheets Familiarity with fundamental statistical concepts Highly diligent with exemplary attention to detail Strong communicator with ability to articulate complex technical subject matter to non-technical users Worked with data supporting a Contact Centre operational environment Don’t worry if you don’t have the whole list. If you feel you have most of it and can learn the rest pretty quickly then please don’t hesitate to apply. Overall we are looking for imaginative and pragmatic problem-solvers who want to help make a positive impact with data at UW. The successful candidate will be a data enthusiast, possessing curiosity and an inquisitive attitude and need to be comfortable with data manipulation, processing and modelling. You will have an appreciation for self-service analytics and data governance.. This role is an excellent opportunity for a candidate seeking to drive themselves with their own enthusiasm for data and to make a significant difference to the growth of the business. What you'll do Join a small Business Intelligence team working within Operational Support Interrogate data in Google Big Query and develop data pipelines for analysis and reporting Build a portfolio of reports and dashboards using Looker Studio Ensure business alignment, active adoption and trust in numbers Curate trusted data models to enable self service analytics Manage the access and distribution of reports Adopt best practice data management techniques Be accountable for servicing information to our operations managers and team leaders Additional information 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: Competitive salary: We benchmark against the industry and will share the salary openly during our first conversation. Performance bonus: An annual discretionary bonus ranging from 15-40%. Flexible working: We’re a remote-first business. Work-life balance: We offer an optional four-day working week (90% pay for 90% impact). Work from anywhere: You can work abroad for up to three weeks, twice every tax year. Holiday: 25 days plus bank holidays (increasing with tenure), with the option to trade up to five days each year. UW discounts: Save on our services and you’ll also get access to 100s of rewards and discounts through Perkbox Future planning: Matched-contribution pension scheme and life assurance (up to 4x salary). Family first: Policies designed to help you and your family thrive. Flexible benefits: An allowance for private health insurance, dental insurance, or gym membership. Sabbaticals: An eight-week paid sabbatical after four years of service. Growth: A dedicated learning and development budget and bi-annual promotion cycles. Inclusion: Join belonging groups that help shape our culture. Events: Company-wide celebrations including the ‘Great Big Get Together’ and our ‘Good Hearted Go-Getter Awards’. 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. 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! Additional Information 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: An industry benchmarked salary. We’ll share it during your first conversation. Hybrid working, with 2 days in the office. (We’re definitely open to discussing flexible working arrangements) Holiday trading- buy & sell up to 5 days holiday each year Electric Car salary sacrifice scheme through Tusker Discount on our services and you’ll also get access to 100s of rewards and discounts through Perkbox A matched contribution pension scheme and life assurance up to 4x your salary. You can also access free mortgage advice and a financial wellbeing tool. Save as You Earn scheme. Family-friendly policies, designed to help you and your family thrive. Flexible benefit choices such as Private health insurance, a free Virtual GP, Gym discounts and wellbeing apps. Belonging groups that help UW shape an even more inclusive future. A commitment to helping you develop your career journey through learning, coaching and new experiences 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. Employment Status: Full-Time

Responsibilities

Develop data pipelines and build reports and dashboards to drive strategic and operational decision-making for customer operations. Curate trusted data models to enable self-service analytics and support contact center operational environments.