Data Analyst
Hybrid
Solihull, United Kingdom
Full Time
22-04-2025
Job Specifications
Discipline: Standard
Job type: Permanent
Job ref: 008210
Published: 3 months ago
Correla are looking for a Data Analyst to work within the Data Engineering team.
Salary: circa £57,000 (advertised salary attainable for an individual fulfilling all role criteria)
About Us
In March 2021, Correla was created, as an independently owned business to bring in private investment to fuel innovation in the centre of the energy market and beyond.
Correla is derived from correlation, because we’re all about exploring and enhancing relationships between data, people, and processes. Our SaaS products and Managed Service solutions combine to power industry innovation, simplify an increasingly complex market, and deliver cost and operational efficiencies.
Our goal is to support industry transformation, to move to a net-zero future and to positively impact the end-consumer.
About The Role
Analyse complex datasets using Python
Develop predictive models and advanced analytics solutions to support strategic decision-making
Build and maintain automated dashboards and reports
Collaborate with cross-functional teams to gather requirements, understand business challenges, and provide tailored analytical solutions.
Ensure data accuracy and integrity
About You
You will have strong expertise in Python, including libraries such as Pandas, NumPy, SciPy, and Scikit-learn
You will have a solid understanding of statistical methods
You will be experienced in creating data visualisations using tools such as Matplotlib, Seaborn, or Plotly
You will be able to write efficient and scalable code
You will be proficient in SQL
You will have strong problem solving and communication skills
What We Offer
Locate for your day
Uncapped annual leave
6-12% Pension Contribution
Private Healthcare
26 weeks’ full pay equal parent leave
Wellbeing Services
And more!
At Correla, we are committed to working towards being a more diverse and inclusive workplace where our people can truly be themselves. We recognise the benefits of having talented people from a range of backgrounds and cultures who bring different perspectives, life experiences and diversity of thinking.
Our aim is to attract and retain the very best diverse talent to help create an exciting, innovative, and successful business that enables us to deliver an exceptional experience for our customers. We would therefore like to encourage applications from people with varied skillsets and experience and from different backgrounds and sectors to help shape our future.
Correla is an Equal Opportunities Employer. We believe in equality of opportunity regardless of race or racial group, ancestry, place of origin, ethnicity, sex, sexual orientation, gender identity, gender expression, gender re-assignment, age, record of offences, marital/civil partnership status, family status, pregnancy, maternity and paternity, religion/belief or disability. We promise that your opportunity for employment with us depends solely on your qualifications and relevant experience.
*Advertised salary attainable for an individual fulfilling all role criteria
About the Company
We help customers navigate the complexities of the energy market while creating cost efficiencies that guide the way forward to a net-zero future. We do this through our fully adaptable SaaS products, comprehensive managed services and unrivalled energy industry knowledge. Our combination of technology, people and process is powering change, allowing us to deliver solutions for customers where data drives decisions. SaaS Products Our innovative SaaS products help you navigate the complexities of the energy market, simpli... Know more
Related Jobs
- Company Name
- Ocho
- Job Title
- Senior Data Engineer
- Job Description
- Senior Data Engineer Location: UK-based only Eligibility: UK work authorisation required (no sponsorship available) At OCHO, we’re supporting a fast-growing product-led company on a mission to centralise and transform its enterprise data capability. They’re building a new cloud-native data platform from the ground up — and they need a Senior Data Engineer to lead the charge. If you thrive in high-impact roles and want the freedom to shape architecture, influence standards, and work across modern stacks, this is one of those rare “build it properly from day one” opportunities. Why join? Design from scratch: Help shape a modern enterprise data warehouse — one source of truth, built with flexibility and scale in mind. Impact, not red tape: Work in a low-ego, delivery-first team. You’ll be trusted to get on with it. Data culture: Collaborate with engineers, analysts, and product teams to solve real-world data problems — the kind that matter. Full ownership: Architect solutions, lead on design patterns, mentor others — and influence the long-term direction of the platform. What you’ll be doing: Designing and implementing scalable, cloud-based data pipelines (ETL/ELT) Building dimensional models using Kimball, data mesh or data vault methodologies Creating reusable data components and defining best practices across ingestion, transformation and integration Working closely with analysts, engineers and product teams to surface high-value, trustworthy datasets Ensuring data quality through automation, testing and documentation Acting as a technical leader and mentor within the platform team What you’ll bring: 4+ years' experience writing complex SQL (Oracle, PostgreSQL, MSSQL etc.) 3+ years working with Python or PowerShell in data engineering environments Experience integrating data from APIs (REST, SOAP) Hands-on experience with DBT, Snowflake, CI/CD pipelines, and cloud-native tools Strong data modelling chops and a practical grasp of cloud architecture patterns A collaborative, delivery-focused mindset with a strong sense of initiative Based in the UK and eligible to work without sponsorship Interested? Reach out to Ryan Quinn on LinkedIn for a chat about the role. No CV needed to start the conversation.
- Company Name
- Versende Ltd
- Job Title
- Data Analyst Assessor
- Job Description
- Job Title: Data Analyst Assessor Job ID: 07439 Location: Remote / Home Based Job Type: Permanent Salary: £45-55k Industry: Education Company: A leading End-point Assessment Organisation are looking to bring in a Data Analyst Assessor that will successfully support the readiness for EPA Gateway and conducting the End-point Assessment for apprentices completing the level 3 and level 4 Data Analyst Apprenticeship. The role will be fully remote/home based with flexible working. What the company does: A specialised, flexible, customer responsive assessment organisation focused on delivering high quality assessments practices for Digital Apprenticeships. Working with Employers, Colleges and Training Providers, they are committed to offering and providing the best possible experience to the apprentice to enable them to achieve the highest possible grade About the job: The Independent Assessor’s key responsibility is to conduct End-point Assessments across the apprenticeship’s standards. You will work independently and use your subject matter expertise to assess the totality of evidence across the whole Apprenticeship Standard and make the required judgements and grading in line with Assessment Plans by conducting interviews, reviewing the apprentices submitted evidence and apply the grading criteria with constructive feedback to the training provider. Outside of the regular day-to-day assessments we allow our employees time to develop through regular CPD as well as enable you to support the product development of our EPA by creating digital content and using your subject matter expertise to design and develop EPA resources and projects. The ideal candidate: The Ideal candidate will need a passion for data with extensive experience within the industry. You must a personable strong communicator and have a positive approach to building relationships with both learners and stakeholders. Have a proactive mindset and be able to roll up your sleeves and get involved in projects & product across the business. We do not ask that you have an apprenticeship background, however you must be willing to develop your knowledge and expertise in this area. Skills and Experience: Extensive experience within the data industry (minimum three years), including being able to analyse, manipulate and forecast data sets as well as a proficient knowledge in statistical analysis. Demonstrate working practices on CRM systems, applications, and a wide range of tools & technologies such as SQL and Python. Competent in following processes, policies, and regulatory requirements Confident communication style and be able to demonstrate exceptional soft skills Ability to write and communicate reports to a high level Provide a high quality of customer service to both internal and external stakeholders Able to remain impartial, fair and unbiased at all times If this sounds like a good match, then please get in touch ASAP as remote interviews are taking place immediately.
- Company Name
- Stats Perform
- Job Title
- Data Journalist
- Job Description
- Job Description Stats Perform is the market leader in sports tech. Anywhere you find sport, Stats Perform is there. We succeeded thanks to a team of amazing people. They spend their days collecting, analyzing and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wizardry and a host of 'behind the scenes' support staff, you've got all the ingredients to make it a magical experience! The Data Journalist will help us shape the future of Stats Perform News’ industry-leading sports content, helping to drive fan engagement for a range of global media outlets, providing, data led driven content, bringing audiences closer to the stories that matter across a range of sports. You will have a strong track record in journalism producing content in the digital sphere. Experience of working in a quick-paced work environment, across multiple products for our editorial services. Excellent written and verbal communication skills, with a flair for producing different types of content for several mediums and a strong understanding of the unique nature of providing content as part of an agency model. Day to Day responsibility will include working under tight deadlines to produce regular match previews, news articles and other data-led written content across a wide variety of sports. Supporting the curation of third-party content, including editing, planning, scheduling, and publishing sports articles. Act as an editing resource for other members of the team, supporting the quality control of content across various projects and departments. Assisting with a regular output of text commentary content, through writing live updates and playing an important role in maintaining high standards with editing. This will include enriching existing written live content with data analysis and graphics. Work with our team of freelancers to assist with assigning tasks and shift management. Supporting the planning of written data-led content across daily and weekly timeframes. In addition to content creation, be prepared to have a strong voice in the editorial decision-making process day to day. Our focus on bespoke content and SEO driven content, means you will work for some of the biggest names in sport helping them reach their audiences with data led content that informs and drives engagement. Specialised data led betting content will be a focus for the team and you will be required to write bespoke content that informs and educates bettors. Idea creation and passion for sport, whilst being able to entwine our unique data through your copy is an essential. Required Qualifications Willingness to work around the sporting schedule, which features regular evening and weekend work, with flexible hours around major events. Comprehensive football knowledge, particularly across Europe’s top five leagues and other leading competitions such as MLS. In-depth multisport knowledge (American football, basketball, F1, rugby, cricket, tennis, golf). Ability to produce both traditional and data-focused editorial content to a high standard. Understanding how raw data can be turned into compelling insight and sharable articles. Excellent command of English with knowledge of traditional industry styles for written content. The ability to work as part of a small team across time zones and multitask when needed. Ability to write and edit content across multiple sports. Knowledge of the Opta brand and Stats Perform News. Previous experience with content promotion on social media platforms (Twitter, Facebook, TikTok, Instagram, YouTube). Previous experience with SEO tools. Experience with betting focused content. We offer Premium medical care – Fully covered top-tier private healthcare. 25 Days of vacation – Plus extra days based on your length of service. Mental health days – Company-wide days off to rest and recharge. Flexible work options – Hybrid work mode (role-dependent). Career and professional growth – Learning programs & access to Udemy, O’Reilly, and more. Diversity, Equity, and Inclusion at Stats Perform At Stats Perform, diversity drives innovation. We are committed to building an inclusive, welcoming workplace where everyone is valued and respected. Our DEI goals are at the heart of our culture, ensuring we better serve our clients and communities.
- Company Name
- JPMorganChase
- Job Title
- Applied AI ML Senior Associate
- Job Description
- Job Description Join our team as a Sr. Associate in our Applied AI ML function to advance AI in financial services and optimise business decisions. As a Senior Associate Applied AI ML Scientist / Engineer in the Applied AI ML team at JPMorgan Commercial and Investment Bank, you'll be at the forefront of AI innovation, combining cutting-edge techniques with unique data assets to optimise business decisions and automate processes. This role offers a unique blend of scientific research and software engineering, allowing you to advance AI in financial services and build impactful products. In this role, you will leverage the latest research in Natural Language Processing and statistical machine learning to build AI-powered products that automate processes and enhance decision-making. You will collaborate with software engineering teams to design scalable Machine Learning services and communicate AI capabilities to diverse audiences. Job Responsibilities Develop and implement machine learning models and algorithms to address complex operational challenges. Design and deploy generative AI applications and agents to automate and enhance business processes. Collaborate with stakeholders to understand business needs and translate them into technical solutions. Analyse large datasets to extract actionable insights and support data-driven decision-making. Ensure the scalability and reliability of AI/ML solutions in a production environment. Stay informed about the latest advancements in AI/ML technologies and integrate them into our operations. Required Qualifications, Capabilities And Skills Advanced degree in a STEM field, with relevant experience in AI/ML. Experience in deploying AI/ML applications in a production environment, with skills in deploying models on AWS platforms such as SageMaker or Bedrock. Familiarity with MLOps practices, covering the full cycle from design, experimentation, deployment, to monitoring and maintenance of machine learning models. Expertise in machine learning frameworks such as TensorFlow, PyTorch, PyTorch Lightning, or Scikit-learn. Proficiency in Python with a strong emphasis on code quality and reliability through use of comprehensive testing. Experience with generative AI models, both as cloud service APIs (e.g. OpenAI) and open source (e.g. Huggingface). Experience with integrating user feedback to establish data flywheels and self-improving AI applications. Solid understanding of data preprocessing, feature engineering, and model evaluation techniques. Familiarity with cloud platforms (AWS). Excellent problem-solving skills and the ability to work independently and collaboratively. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Preferred Qualifications, Capabilities And Skills A Ph.D. is a plus but not required Experience in the financial services industry, particularly within investment banking operations. Experience in developing AI solutions using agentic frameworks. Experience fine-tuning LLMs with advanced techniques. Experience with prompt optimisation to enhance the performance and effectiveness of prompt engineering. ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation. About The Team J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.