• The Data Operations Analyst provides day-to-day operational data and reporting support across LRG. • The role focuses on supporting existing reporting outputs, investigating data issues, and assisting with data testing during migrations and system changes. • This role is execution-focused and works within defined processes, standards, and priorities.

• Lead the technical analysis of five interconnected IHS data systems: RPMS (electronic health record), Clinical Reporting System (CRS), iCARE population management tool, NIRS/National Vaccine Coverage dashboard, and GPRA performance measures • Document what each system measures, its data sources and methodologies, reporting frequency and outputs, and limitations producing a definitive Systems Analysis Report • Trace end-to-end data lineage from patient-level RPMS records through CRS extraction to national aggregation, and reconcile differences in data definitions across systems • Assess data quality issues, reporting inconsistencies, and interpretation errors that undermine confidence in coverage data • Translate technical findings into plain-language content for user guidance, process maps, and training materials • Support development of report-interpretation instruction: how to read the numbers, spot coverage gaps, and monitor progress over time

Title: Logistics Data Analyst Location: Eastleigh, Hampshire, England Job Description: Up to £50,000 + Pension + PMI + ShareSave + 6.6 weeks holiday + Hybrid Working ( 1per week in the office) Southampton, Store Support Office We believe anyone can improve their home to make life better. From our Southampton Store Support office (SSO) we equip our stores, our people, and our whole business with everything it takes to help our millions of customers create a home they’ll love. Join us as a Logistics Analyst and you’ll be a big part of this. The wider Analytics & Data Science team is growing to support more areas of the business. As part of this, we’re creating new analyst roles focused on Logistics. In this role, you’ll work closely with stakeholders to understand real business challenges, translate them into analytical problems, and deliver insight that drives measurable impact—whether that’s improving availability, optimising stock flow, or enhancing operational efficiency. You’ll be part of a collaborative, forward-thinking analytics community that values curiosity, creativity, and continuous improvement. We encourage new ideas, experimentation, and smart risk-taking to evolve how we use data to support better decisions across our operations. What's the job? - Use data from logistics network (HD and retail) and from outside the network to uncover insights that drive better business decisions and help solve logistics strategy problems - Translate complex datasets into clear, compelling stories and actionable recommendations for operational stakeholders - Engage with the logistics operation to ensure a grounded knowledge and to make sure analysis and the operation are in alignment  - Tackle a wide range of problems, from performance optimisation to understanding availability drivers - Deliver deep-dive analysis, highlighting risks, opportunities and areas for continuous improvement - Build strong relationships with stakeholders, influencing and supporting decision-making at all levels - Work collaboratively with analysts and data scientists to deliver scalable and impactful analytical solutions - Contribute to a culture of continuous improvement, innovation and data-driven thinking across supply chain and logistics - Keeping up to date with best practice in the logistics sector, understanding emerging technology and having a view about how it could be applied in the B&Q network to improve efficiency, capacity or service  What we need: - Experience working with Supply Chain and/or Logistics in an analytical role - Strong analytical and problem-solving skills, with experience working with complex datasets - Proficiency in SQL, with experience in Python and/or R (desirable) - Experience working in cloud-based data environments (e.g. Databricks, Snowflake, BigQuery) - Proven ability to translate data into clear insights and compelling, actionable recommendations - Creating and delivering presentations communicating the problem, context, potential and recommended solutions - Strong stakeholder management skills, with the ability to build relationships across operational and commercial teams - Curiosity, creativity, and a willingness to challenge the status quo to improve ways of working - A proactive mindset — comfortable taking ownership, testing ideas, and driving improvements - High attention to detail and a strong commitment to data quality and integrity - Confident decision maker What's in it for me? As well as a competitive salary, our benefits package includes: - Award-winning pension scheme - Bonus - ShareSave options - 6.6 weeks holiday - Payroll giving - Employee Assistance Programme - Shopping discounts - Colleague wellbeing benefits …and much more. We welcome applications from all candidates; however, please note that we are unable to provide visa sponsorship for this role, and applicants must have the right to work in the UK. Equality and Inclusion We want to ensure that all employees, future employees, and applicants to all Kingfisher companies are treated equally regardless of age, gender, marital or civil partnership status, colour, ethnic or national origin, culture, religious belief, philosophical belief, political opinion, disability, gender identity, gender expression, or sexual orientation.

Title: AI Data Analyst - temprop="jobLocation" itemscope="" itemtype="http://schema.org/Place">temprop="address" itemscope="" itemtype="http://schema.org/PostalAddress">Employees can work remotely - temprop="employmentType" style="color:#5e595e; font-size:14px">Full-time - Work Model: 100% Remote - City: Montreal - Department: Engineering & Cons Company Description In January 2026, Averna and Spherea joined forces to form the Spherea Group. A global leader in testing and quality solutions, Averna Powered by Spherea collaborates with product designers, developers, and manufacturers to help them improve product quality, accelerate time to market, and protect their brands, covering the entire product lifecycle with comprehensive solutions and expertise. Averna Powered by Spherea offers specialist expertise and innovative solutions in testing, vision inspection, precision assembly and automation, providing significant technical, financial and commercial advantages to customers in the aerospace, automotive, consumer electronics, defense, energy, industrial, medical device and life sciences, semiconductor, telecommunications and transportation sectors. Its solutions include prototyping and consulting, precision assembly and production, automated testing solutions, online testing systems, test system replication, and testing platforms and products. Averna Powered by Spherea's expertise covers vision systems, specialized battery testing, radio frequency and microwave technology, fiber optics, robotics and motion, instrumentation, control systems, and data management. Job Description AI Data Analyst -- Material Production, Quality and Reliability Role Summary This role sits at the intersection of data analytics, hardware production, quality and reliability engineering, and digital transformation . As an AI data analyst, you will generate value-added analytics from large-scale data related to production, testing, and deployments, while supporting the New Product Introduction (NPI) and product operations teams. You will transform complex production and quality concepts into data-driven metrics, intelligent dashboards, and AI-powered applications. You will also lead initiatives to modernize manual processes into automated, scalable, and analytics-driven systems—leveraging statistical analysis, cloud data platforms, and AI technologies. Main responsibilities Data analysis and engineering - Extract, transform and analyze large-scale production, testing, deployment and operations data using advanced SQL (DML). - Understanding and translating production, quality and reliability concepts into measurable, data-driven solutions and key performance indicators (KPIs). - Perform statistical analyses on production test data to ensure its integrity, reliability and readiness for automation and root cause analysis of deviations. - Provide continuous upstream feedback to improve data quality, coverage, and performance. AI, automation and intelligence - Identify and implement opportunities to automate manual processes using AI and advanced analytics. - Develop AI-powered recommendation systems for data normalization, anomaly detection, intelligent data mapping, and quality analysis. - Support the integration of AI and machine learning services (e.g., Vertex AI, LLM) into analytics workflows and intelligent applications. - Collaborating with engineers and product teams to integrate AI capabilities into NPI and production processes. Visualization, reports and executive analytics - Design, develop and maintain interactive dashboards and reports using tools such as Looker Studio, Tableau, Power BI or equivalents. - Visualize production performance, data quality indicators, operational metrics, staffing levels, and organizational expenditures. - Prepare summaries and presentations for management, simplifying complex technical data into clear and actionable analyses. - Providing management with real-time visibility to facilitate decision-making regarding the health of operations and production. Cross-functional collaboration and program support - Interact professionally with engineers, product managers, suppliers and subject matter experts in the areas of production, quality, IT and operations. - Provide technical guidance to suppliers and engineering teams on optimal data collection, standards, and data warehousing solutions. - Supporting multiple initiatives in parallel by monitoring progress, identifying risks, and escalating delivery obstacles when necessary. - Facilitate change management through documentation, communication plans, and process training. Qualifications The ideal candidate in a nutshell: Required qualifications - Bachelor's degree in computer science, data science, data analytics, statistics, mathematics, engineering or related discipline. - Advanced proficiency in SQL and a thorough understanding of best practices in data modeling and normalization. - Proficiency in Python (or R) for data analysis, including experience with the PyData ecosystem (NumPy, Pandas, Matplotlib, scikit-learn). - Excellent skills in analysis, problem-solving, and statistical analysis. - Demonstrated experience in creating structured dashboards, reports, and datasets to support business and engineering decision-making. - Excellent oral and written communication skills in English. Desired qualifications (assets) - Over 5 years of experience with cloud data warehouses such as Google BigQuery or equivalent platforms. - Familiarity with Google Cloud data products (Vertex AI, Colab, Cloud API). - Over 5 years of experience in creating interactive dashboards with Looker Studio, Tableau, Power BI or similar tools. - Hands-on experience with AI/ML models, large language models (LLM) and AI process automation. - Experience in the field of electronic manufacturing processes, quality engineering, testing or reliability. - Knowledge of the concepts of data governance, data quality management or master data management (MDM). - Familiarity with operational topics such as workforce planning, resource allocation, or supplier/contractor monitoring (TVC). - Proficiency in Mandarin or French is an asset. Additional Information What we offer you - Learn and grow through several cutting-edge projects - Working remotely #LI-REMOTE - An extra day off for your birthday - Competitive total compensation and benefits package - Paid floating holidays between Christmas and New Year's Day - Significant discount on Montreal public transit passes - Be part of a company that places ESG criteria at the heart of its mission for people, planet and performance.