Please note we are not able to facilitate Visa or Relocation Sponsorship at present or in the future and therefore can only accept UK based applications from candidates who are able to commute to HQ in London, Chiswick 1-2 times per week. The Role
BI Data Analyst at SO ENERGY
Reporting into Nethin Maharaj, our Business Intelligence Manager here at So Energy, we are seeking an experienced and highly skilled BI Data Analyst to join our data analytics team. As a BI Data Analyst at So Energy, you will play a pivotal role in leveraging data to drive strategic decisions and solve complex challenges for the business. We are looking for a candidate with advanced SQL and Python skills who has a track record of successfully delivering analytical insights to the business. If you are passionate about transforming data into actionable insights and possess excellent soft skills to engage with stakeholders, we invite you to apply and become a key member of our dynamic team. As So Energy’s Business Intelligence Data Analyst, you will be responsible for supporting the business in our data-driven focus on growth and efficiency. Within this role, you will be identifying reporting and data opportunities, analysing trends, and presenting back insights with potential solutions to solve some of the key business challenges. Our solutions are primarily built on the Google Cloud stack, of which Looker is our main BI reporting tool. This will require you to be adept at working on Looker with other BI tools being an added advantage. What you’ll be getting up to:
Gather and document requirements in a way that allows us to design well-suited dashboards and reports. Translate requirements to technical solutions. Analyse data to identify trends and patterns - Interrogate and curate the quality, consistency and completeness of data to ensure that the quality of insights are complete and relevant. Script data transformation and business rules in SQL. Research new data sources which will add value into the reporting that you will be delivering. Support the business in ad-hoc data analysis and data supply covering auditing, marketing campaigns and customer segmentation. Design reporting tables which facilitate the delivery of dashboards and insights - Build dashboards and reports in Google Looker. Dashboard design should follow intuitive data flow and presentation for easier end-user consumption and decision making. Input and guide on new standards to improve the performance of our Looker environment using LookML and improve the landscape of reporting and insights to the business. Perform data reconciliation tasks to ensure that new reporting outputs are aligned or of better accuracy than existing reports. Write quality technical documentation of SQL coding as well as dashboards delivered. Contribute as part of an agile team with sprint planning sessions and daily stand-ups. Communicate status, blockers, and progress in a clear and concise manner. This role will be a great fit if you have:
You will need to be a detail-oriented individual who has a passion for analysing data. You will work closely with our Data Engineering team to build reporting-friendly structures. A key attention to detail will be required in the reviewing and validating of data as part of your data delivery process. You should have experience in end-user engagement on requirements elicitation and the ability to identify stakeholder problems that can be solved through data. Proven hands-on experience with Google Looker including building and maintaining a high performant semantic layer in LookML and creating insightful and actionable dashboards for end users. You should be comfortable with communicating insights to senior management and across the organisation. Provide technical support to other teams within the organisation as required - You should have a strong SQL background with a deep understanding of how to use SQL and interrogate data in the context of business objectives. Be a team player, contributing towards the upliftment of our overall BI capability and supporting junior team members produce higher quality outputs. Hiring Process:
HM Screen – (Nethin - 30 minutes) Technical SQL + Looker ML + Competency Interview - Nethin + Holly (60-minutes) Final Stage Leadership + Cultural Interview (30-minutes) Support –
If you have a medical condition or an individual need for an adjustment to our process, and you believe this may affect your ability to be at your best – please let us know so we can talk about how we can best support you and make any adjustments that may be needed.
#J-18808-Ljbffr