Currence
# Lead Data Analyst - Commercial AnalyticsLondon, UKFull-timeJul 7, 2026 Introduction In just 10 years, Octopus Energy has evolved from a disruptive challenger into the UK's largest energy retailer and a well-loved brand, serving more than 8 million customers. Our rapid expansion has been powered by consistently strong growth across diverse sales channels, the smooth integration of retailer acquisitions, and impressive customer retention.We continue to lead and redefine the energy market through innovative time-of-use tariffs and data-driven commercial strategies that transform how customers engage with energy. We empower customers with dynamic pricing and "Intelligent" EV charging, rewarding them for shifting consumption to greener, cheaper periods. Role Summary You will be the leading analyst in the GB Commercial Analytics "pod", delivering pricing operations, commercial reporting, and growth insight to drive sales and retention, margin, compliance, and customer satisfaction.You will act as a strategic business partner to Commercial, Sales, Marketing and Energy Markets teams, combining hands-on technical expertise with strong team leadership. What you'll do Own end-to-end pricing operations for domestic tariffs, including launches, quarterly price changes, margin reporting and intelligence, and ensuring regulatory / price cap compliance for millions of customers. Drive pricing strategy and optimisation through competitor intelligence, market analysis, and data-driven recommendations to the Senior Leadership Team. Own and evolve commercial reporting pipelines across customer switching, sales activity from all channels, marketing campaigns, retention and competitor insight. Deliver growth and customer insight, including key metric reporting, funnel analysis, customer forecasting, and retention initiatives. Set priorities, coordinate and review the work of a small, high-performance team of data analysts. Partner with Commercial, Sales, Marketing, Energy Markets, Flexibility, Gross Margin and Strategic Finance teams to provide customer forecasting inputs, KPI reporting, margin analysis and strategic support. Contribute to and collaborate with our global working groups to ensure aligned reporting and shared analytics projects. Champion data best practices and continuous improvement in analytics engineering, tools and automated processes. What you'll have Hands-on expertise with modern data platforms and analytical tools (especially SQL and python - see our full stack below). Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics. Proven experience mentoring and developing data professionals. Strong communication skills to influence non-technical stakeholders and senior leadership. A track record of delivering actionable insights that drive measurable business impact. Our Data Platform Stack We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure on AWS, deployed with Terraform / Spacelift Why else you'll love it here • Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!• Octopus Energy Group is a unique culture . An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership• Visit our UK perks hub - Octopus Employee Benefits If this sounds like you then we'd love to hear from you. P.S. Our process usually takes up to 4 weeks, but we'll always do our best to flex around what works for you. Along the way, you'll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at and we'd love to help! Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone. Where necessary, we sometimes use AI tools to help with parts of our hiring process, like reviewing applications or assessing responses. We're lucky to receive a huge amount of interest, so these tools help our recruiters manage that volume, not replace them. Ultimately, every hiring decision (for example, whether to progress your application or not) is always made by a real person in our Talent team. If you'd like to know more about how we use your data, you can reach out to us via email at . We're happy to help!
# Lead Data Analyst - Commercial AnalyticsLondon, UKFull-timeJul 7, 2026 Introduction In just 10 years, Octopus Energy has evolved from a disruptive challenger into the UK's largest energy retailer and a well-loved brand, serving more than 8 million customers. Our rapid expansion has been powered by consistently strong growth across diverse sales channels, the smooth integration of retailer acquisitions, and impressive customer retention.We continue to lead and redefine the energy market through innovative time-of-use tariffs and data-driven commercial strategies that transform how customers engage with energy. We empower customers with dynamic pricing and "Intelligent" EV charging, rewarding them for shifting consumption to greener, cheaper periods. Role Summary You will be the leading analyst in the GB Commercial Analytics "pod", delivering pricing operations, commercial reporting, and growth insight to drive sales and retention, margin, compliance, and customer satisfaction.You will act as a strategic business partner to Commercial, Sales, Marketing and Energy Markets teams, combining hands-on technical expertise with strong team leadership. What you'll do Own end-to-end pricing operations for domestic tariffs, including launches, quarterly price changes, margin reporting and intelligence, and ensuring regulatory / price cap compliance for millions of customers. Drive pricing strategy and optimisation through competitor intelligence, market analysis, and data-driven recommendations to the Senior Leadership Team. Own and evolve commercial reporting pipelines across customer switching, sales activity from all channels, marketing campaigns, retention and competitor insight. Deliver growth and customer insight, including key metric reporting, funnel analysis, customer forecasting, and retention initiatives. Set priorities, coordinate and review the work of a small, high-performance team of data analysts. Partner with Commercial, Sales, Marketing, Energy Markets, Flexibility, Gross Margin and Strategic Finance teams to provide customer forecasting inputs, KPI reporting, margin analysis and strategic support. Contribute to and collaborate with our global working groups to ensure aligned reporting and shared analytics projects. Champion data best practices and continuous improvement in analytics engineering, tools and automated processes. What you'll have Hands-on expertise with modern data platforms and analytical tools (especially SQL and python - see our full stack below). Strong commercial acumen, preferably in pricing, margin optimisation, and/or growth analytics. Proven experience mentoring and developing data professionals. Strong communication skills to influence non-technical stakeholders and senior leadership. A track record of delivering actionable insights that drive measurable business impact. Our Data Platform Stack We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit for interactive data applications Airflow for orchestration Kubernetes for application deployment CI/CD with GitHub and CircleCI Infrastructure on AWS, deployed with Terraform / Spacelift Why else you'll love it here • Wondering what the salary for this role is? Just ask us! On a call with one of our recruiters it's something we always cover as we genuinely want to match your experience with the correct salary. The reason why we don't advertise is because we honestly have a degree of flexibility and would never want salary to be a reason why someone doesn't apply to Octopus - what's more important to us is finding the right octofit!• Octopus Energy Group is a unique culture . An organisation where people learn, decide, and build quicker. Where people work with autonomy, alongside a wide range of amazing co-owners, on projects that break new ground. We want your hard work to be rewarded with perks you actually care about! We were recently named the UK's top company to work for, and we ranked in the top ten in the Sunday Times Best Places to Work 2024. Our Group CEO, Greg has recorded a podcast about our culture and how we empower our people. We've also been placed in the top 10 companies for senior leadership• Visit our UK perks hub - Octopus Employee Benefits If this sounds like you then we'd love to hear from you. P.S. Our process usually takes up to 4 weeks, but we'll always do our best to flex around what works for you. Along the way, you'll chat with our recruitment team and your Recruiter will help you throughout different stages. Got any burning questions before then? Drop us a message at and we'd love to help! Are you ready for a career with us? We want to ensure you have all the tools and environment you need to unleash your potential. Need any specific accommodations? Whether you require specific accommodations or have a unique preference, let us know, and we'll do what we can to customise your interview process for comfort and maximum magic! Studies have shown that some groups of people, like women, are less likely to apply to a role unless they meet 100% of the job requirements. Whoever you are, if you like one of our jobs, we encourage you to apply as you might just be the candidate we hire. Across Octopus, we're looking for genuinely decent people who are honest and empathetic. Our people are our strongest asset and the unique skills and perspectives people bring to the team are the driving force of our success. As an equal opportunity employer, we do not discriminate on the basis of any protected attribute. Our commitment is to provide equal opportunities, an inclusive work environment, and fairness for everyone. Where necessary, we sometimes use AI tools to help with parts of our hiring process, like reviewing applications or assessing responses. We're lucky to receive a huge amount of interest, so these tools help our recruiters manage that volume, not replace them. Ultimately, every hiring decision (for example, whether to progress your application or not) is always made by a real person in our Talent team. If you'd like to know more about how we use your data, you can reach out to us via email at . We're happy to help!
Roku, Inc.
Cambridge, Cambridgeshire
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time. About the Role In this role, you will build and maintain data pipelines and analytics infrastructure that power Roku's CTV advertising auction platform. You will support marketplace optimization by delivering high-quality datasets for advertiser performance, publisher yield, and revenue analysis across batch and near real time workflows. You will partner with product, analytics, and data science teams to translate business needs into well modeled, reliable data products. You will contribute to experimentation, simulation, and reporting foundations that inform bidding strategy and monetization decisions. This role is ideal for an engineer who enjoys high scale data systems, strong data quality practices, and measurable business impact. What You'll Be Doing Design and maintain data pipelines and analytics infrastructure supporting Roku's CTV advertising auction platform Build ETL/ELT workflows in Airflow to process auction events including delivery, bids, impressions, pricing, budget usage, and frequency cap signals Create scalable batch and streaming pipelines for billions of daily ad events with strong freshness, accuracy, and schema consistency Model datasets for multi objective optimization and marketplace analytics across advertiser, publisher, and platform outcomes Design aggregated tables and materialized views to support closed loop analysis of auction results and bidding behavior Own integrations from DSPs, programmatic exchanges, and direct campaigns and standardize schemas for unified reporting Partner with data scientists, analysts, and product teams to deliver clean, discoverable, and trusted datasets Enable yield and gross profit analysis through dimensional models, win rate metrics, demand health indicators, and experiment measurement tables Build data foundations for A/B testing analysis, auction simulation, offline replay, and post campaign reporting Implement data quality checks, monitoring, and observability while supporting privacy and governance requirements We're Excited If You Have Experience designing and operating production data pipelines at scale Strong SQL and Python skills and hands on Airflow experience Experience with both batch and streaming data architectures Familiarity with cloud data platforms and distributed processing systems Experience modeling event driven data for analytics and experimentation Knowledge of ad tech data concepts such as auctions, bids, pacing, and yield Strong fundamentals in data quality, lineage, monitoring, and governance Ability to partner effectively with cross functional technical and business teams Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .
Teamwork makes the stream work. Roku is changing how the world watches TV Roku is the TV streaming platform in the U.S., Canada, and Mexico, and we've set our sights on powering every television in the world. Roku pioneered streaming to the TV. Our mission is to be the TV streaming platform that connects the entire TV ecosystem. We connect consumers to the content they love, enable content publishers to build and monetize large audiences, and provide advertisers unique capabilities to engage consumers. From your first day at Roku, you'll make a valuable - and valued - contribution. We're a fast-growing public company where no one is a bystander. We offer you the opportunity to delight millions of TV streamers around the world while gaining meaningful experience across a variety of disciplines. About the Team The Advertising Performance group focuses on performance for all participants in the Advertising ecosystem - Advertisers, Publishers and Roku. The systems and solutions span across different disciplines and technologies to perform realtime multi-objective optimization with distributed systems at large scale and low latencies. We use Machine Learning, Reinforcement Learning, AI, Control and Optimization Systems and Auction Dynamics to solve a large set of complex problems. At the core of this is our Machine Learning, Experimentation and Inference Platform that powers the entire landscape which we continuously evolve over time. About the Role In this role, you will build and maintain data pipelines and analytics infrastructure that power Roku's CTV advertising auction platform. You will support marketplace optimization by delivering high-quality datasets for advertiser performance, publisher yield, and revenue analysis across batch and near real time workflows. You will partner with product, analytics, and data science teams to translate business needs into well modeled, reliable data products. You will contribute to experimentation, simulation, and reporting foundations that inform bidding strategy and monetization decisions. This role is ideal for an engineer who enjoys high scale data systems, strong data quality practices, and measurable business impact. What You'll Be Doing Design and maintain data pipelines and analytics infrastructure supporting Roku's CTV advertising auction platform Build ETL/ELT workflows in Airflow to process auction events including delivery, bids, impressions, pricing, budget usage, and frequency cap signals Create scalable batch and streaming pipelines for billions of daily ad events with strong freshness, accuracy, and schema consistency Model datasets for multi objective optimization and marketplace analytics across advertiser, publisher, and platform outcomes Design aggregated tables and materialized views to support closed loop analysis of auction results and bidding behavior Own integrations from DSPs, programmatic exchanges, and direct campaigns and standardize schemas for unified reporting Partner with data scientists, analysts, and product teams to deliver clean, discoverable, and trusted datasets Enable yield and gross profit analysis through dimensional models, win rate metrics, demand health indicators, and experiment measurement tables Build data foundations for A/B testing analysis, auction simulation, offline replay, and post campaign reporting Implement data quality checks, monitoring, and observability while supporting privacy and governance requirements We're Excited If You Have Experience designing and operating production data pipelines at scale Strong SQL and Python skills and hands on Airflow experience Experience with both batch and streaming data architectures Familiarity with cloud data platforms and distributed processing systems Experience modeling event driven data for analytics and experimentation Knowledge of ad tech data concepts such as auctions, bids, pacing, and yield Strong fundamentals in data quality, lineage, monitoring, and governance Ability to partner effectively with cross functional technical and business teams Our Hybrid Work Approach Roku fosters an inclusive and collaborative environment where teams work in the office Monday through Thursday. Fridays are flexible for remote work except for employees whose roles are required to be in the office five days a week or employees who are in offices with a five day in office policy. Benefits Roku is committed to offering a diverse range of benefits as part of our compensation package to support our employees and their families. Our comprehensive benefits include global access to mental health and financial wellness support and resources. Local benefits include statutory and voluntary benefits which may include healthcare (medical, dental, and vision), life, accident, disability, commuter, and retirement options (401(k)/pension). Employees are supported in taking time off, in accordance with local leave policies and other personal needs to support their evolving work and life needs. It's important to note that not every benefit is available in all locations or for every role. For details specific to your location, please consult with your recruiter. Accommodations Roku welcomes applicants of all backgrounds and provides reasonable accommodations and adjustments in accordance with applicable law. If you require reasonable accommodation at any point in the hiring process, please direct your inquiries to .