Data Scientist Data Analyst M F D Jobs

Data Scientist / Data Analyst (m/f/d)

From $40/yr

Starting immediately, full-time with 40 hours peer week Basler is an international leader and experienced expert in computer vision. We offer a broad portfolio of vision hardware and software as well as customer-specific products and solutions. We employ about 850 people at our headquarters in Ahrensburg, Germany, as well as other sales and development locations throughout Europe, Asia, and North America. Key factors in our more than 35-year success story include the courage to take risks, the willingness to see constant change as normal and the passion to pursue customer-oriented innovations. Data Scientist / Data Analyst (m/f/d) Aufgaben * Develop automated reporting solutions to support financial controlling and provide business insights. * Build and maintain data models integrating SAP (SAP R/3, SAP S/4HANA, SAP BW), Salesforce, and other data sources. * Connect subsidiaries using non-SAP systems through tailored data pipelines and coordinate international projects. * Design and implement automated ETL processes in SAP Datasphere. * Create dashboards and calculations in SAP Analytics Cloud and develop SQL-based solutions in SAP Datasphere. * Analyse business results and prepare reports and ad hoc analyses. * Reconcile data, investigate variances, and ensure consistent reporting across systems. * Continuously optimise reporting tools, processes, and data models. * Maintain, troubleshoot, and continuously optimise reporting tools, processes, and data and calculation models. Profil * Experience developing BI solutions and data models for finance and / or controlling, including star schema modelling, measure definition, and data normalisation * Familiarity with finance and controlling data from ERP systems * Strong SQL skills * Hands-on experience with SAP Datasphere and SAP Analytics Cloud; familiarity with SAP BW, SAP S/4HANA, and Salesforce * Experience building data pipelines and ETL processes, reconciling data across systems, and improving data quality * Ability to explain analytical findings clearly to finance and business stakeholders * Experience coordinating projects with international teams * Very good command of German, both written and spoken * Professional proficiency in English Wir bieten * We have a clear vision of the direction we want to take, but it is up to the individual teams to decide how they get there. * We welcome your fresh outside perspective and foster an open culture in which everyone is encouraged to contribute their ideas. * " Work-life balance " is not just an empty phrase at Basler: we support our employees in their roles as family carers and have been recognized for our commitment through the "berufundfamilie" audit. * Respect for our staff members' personal interests and reconciling these with their professional lives is an important part of our corporate culture. * Hybrid workplace – mix of working in the office and mobile/remote working. * First-class IT equipment including notebook and modern working environment . * Attractive remuneration with internal wage transparency, flextime account for overtime reduction, 30 days of paid vacation , and open communication: on first-name terms from trainee to board member. Important note Please be advised that a valid work permit for Germany is required for non-EU citizens. Unfortunately, applications without a valid work permit and sufficient German language skills may not be considered. LNKD1_DE

Data Analyst/Scientist

From $60,000/yr

DATA ANALYST/SCIENTIST BERKSHIRE/HYBRID UP TO £60,000 This is an exciting opportunity to join a growing organisation undergoing a major data transformation. You'll play a key role in building the foundations for advanced analytics, machine learning, AI-driven automation, and predictive modelling, helping the business make better operational and strategic decisions. ROLES AND RESPONSIBILITIES: The Data Analyst/Scientist will: * Build and maintain robust data models to support reporting, analytics, and machine learning initiatives. * Improve data quality, standardisation, and reconciliation across multiple source systems. * Develop approaches for entity resolution, fuzzy matching, and record consolidation. * Support the migration and development of a Snowflake-based data platform. * Create Power BI dashboards and reporting solutions for operational and leadership teams. * Develop forecasting models to support planning, performance monitoring, and resource allocation. * Explore AI and machine learning applications including document processing and information extraction. * Work with structured and unstructured datasets to create trusted, business-ready data assets. * Collaborate with stakeholders to translate commercial and operational challenges into analytical solutions. * Contribute to the development of predictive models focused on risk, performance, and operational optimisation. Your Skills \& Experience * Strong SQL and data modelling experience. * Experience working with cloud data platforms, ideally Snowflake. * Commercial experience working with complex or fragmented datasets. * Strong understanding of data quality, reconciliation, and master data challenges. * Experience building analytical, forecasting, or predictive models in Python. * Power BI reporting and dashboard development experience. * Exposure to machine learning, AI, or advanced analytics techniques. * Ability to engage with stakeholders and communicate technical concepts clearly. * STEM-related degree or equivalent analytical background. APPLY BELOW Desired Skills and Experience DATA ANALYST/SCIENTIST BERKSHIRE/HYBRID UP TO £60,000 This is an exciting opportunity to join a growing organisation undergoing a major data transformation. You'll play a key role in building the foundations for advanced analytics, machine learning, AI-driven automation, and predictive modelling, helping the business make better operational and strategic decisions. ROLES AND RESPONSIBILITIES: The Data Analyst/Scientist will: Build and maintain robust data models to support reporting, analytics, and machine learning initiatives. Improve data quality, standardisation, and reconciliation across multiple source systems. Develop approaches for entity resolution, fuzzy matching, and record consolidation. Support the migration and development of a Snowflake-based data platform. Create Power BI dashboards and reporting solutions for operational and leadership teams. Develop forecasting models to support planning, performance monitoring, and resource allocation. Explore AI and machine learning applications including document processing and information extraction. Work with structured and unstructured datasets to create trusted, business-ready data assets. Collaborate with stakeholders to translate commercial and operational challenges into analytical solutions. Contribute to the development of predictive models focused on risk, performance, and operational optimisation. Your Skills \& Experience: Strong SQL and data modelling experience. Experience working with cloud data platforms, ideally Snowflake. Commercial experience working with complex or fragmented datasets. Strong understanding of data quality, reconciliation, and master data challenges. Experience building analytical, forecasting, or predictive models in Python. Power BI reporting and dashboard development experience. Exposure to machine learning, AI, or advanced analytics techniques. Ability to engage with stakeholders and communicate technical concepts clearly. STEM-related degree or equivalent analytical background. APPLY BELOW

Data Analyst/Scientist

Method Resourcing are delighted to partner with a leading, multi-disciplinary engineering consultancy looking to hire a Data Analyst/Scientist to join their team as they continue to grow. This is a wide-ranging analytical role that spans the full lifecycle of a problem. You’ll start by understanding what stakeholders need, then explore and assess the available data, choose the right analytical approach, and communicate your findings clearly. Where it makes sense, you’ll also build statistical or machine-learning models, or develop client-ready insights and tools. It suits someone who thrives on variety and has a sharp eye for matching the right solution to the problem at hand. Some projects may centre on exploratory analysis, a dashboard, or a set of well-defined metrics. Others may call for forecasting, statistical modelling, machine learning, or building and working with AI. Responsibilities: * Partner with engineers, consultants, product teams and other stakeholders to understand their needs and turn open-ended or unclear questions into clearly defined analytical problems. * Design and deliver data-driven solutions that address real business challenges across the organisation. * Use SQL, Python and other analytical tools to explore datasets, uncover trends and relationships, test hypotheses and produce insights that can be acted on. * Select and apply suitable statistical, forecasting, machine learning and AI techniques where they genuinely add value. * Work with product and software engineering teams to convert analytical work into reusable tools, workflows and data products where it makes sense. * Write reproducible, maintainable code in line with best practice, including version control, testing and peer review. * Help build analytical and data science capability across the business by sharing methods, reusable approaches and good practice. About you: * Track record of using data and analysis to solve real-world business, engineering or operational challenges. * Strong analytical thinking, with the ability to turn a loosely defined question into a clear, well-chosen analytical approach. * Able to work autonomously and take ownership of project deliverables. * Advanced Python skills for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit-learn). * Proficient in querying languages such as SQL, with a solid grounding in software engineering best practice (version control, unit testing, code review, etc.). * Significant experience with data visualisation tools (e.g., Power BI, Streamlit). * Experience applying machine learning and AI, including generative AI, to practical problems where it delivers clear value. * Working knowledge of statistical concepts and how to apply them in data analysis. * Excellent communication skills, with the ability to engage with and present findings to both technical and non-technical audiences. * Awareness of data governance, privacy, responsible AI and other relevant standards. Bristol/London-based; 1 day every fortnight in the office. #followthemethod