201 to 225 of 5,410 Remote Analytics Jobs

to learn and adapt to its ecosystem. Proficiency in Python programming focused on data manipulation and engineering. Interest in data science and a desire to expand skills into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills, with a passion for optimizing workflows. Excellent communication and teamwork skills for a dynamic consultancy environment. Experience in data … modeling and understanding of the Kimball methodology. Certification: DP-600 – Fabric Analytics Engineer Associate. Responsibilities: Your daily tasks will include, but are not limited to: Designing, building, and optimizing high-performance data pipelines and ETL workflows using tools like Azure Synapse, Azure Databricks, or Microsoft Fabric. Implementing scalable solutions to ingest, store, and transform large datasets, ensuring data quality and More ❯

and generate actionable recommendations for us as a team. Analyse client behaviour to understand engagement patterns, activation rates, and drop-off points. Qualifications A Bachelor's Degree in Data Analytics, Statistics, Computer Science, or a related field. Minimum of 4 years experience in a data analysis or similar role, preferably within a fast-paced SaaS or technology environment. (Scaleup experience … in OpenSearch. Strong SQL skills for working with AWS Quicksight to create reports and visualisations. Advanced Excel capabilities for quick data manipulation and supplementary analysis. Experience working with Google Analytics for user behaviour tracking and performance metrics. Familiarity with Hotjar for heatmaps and user interaction insights. Ability to define and monitor product KPIs and OKRs, with insights into user funnels … excellent work ethic and can manage workloads well. You are able to work effectively within a remote team, it can have its challenges. You want ownership of the Data Analytics within Vable. We have a culture that we protect, we value the contributions each Vabler makes. We encourage constant learning so you can keep up to date. A yearly budget More ❯

senior staff, and Oaktree Capital. Find out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play … demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by traders and analysts. Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. More ❯

senior staff, and Oaktree Capital. Find out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play … demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by traders and analysts. Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. More ❯

senior staff, and Oaktree Capital. Find out more about us by visiting our website at: http://www.hartreepartners.com/ROLE OVERVIEW: Hartree Partners is growing its data-driven analytics team and is hiring a Statistical Data Scientist to sharpen our view of weather-driven risk and support wider supply-and-demand modelling for power & gas trading. You will play … demand, renewables output, and other fundamental time series. Help design feature pipelines, scenario tools and model-performance dashboards used daily by traders and analysts. Pitch in on ad-hoc analytics projects—anything from volatility clustering studies to optimisation of storage dispatch—whenever the desk needs statistical horsepower. REQUIREMENTS: Minimum of a degree in Statistics, Applied Maths, Physics or related field. More ❯

role is part of our EMEA Data craft team, an integrated craft across Europe driving data engineering, data science, and AI initiatives. We combine our expertise in data architecture, analytics, and AI to deliver exceptional data-driven solutions that build lasting relationships with our clients like Footlocker, Nikon, Rituals, and Philips ROLE OVERVIEW The Lead Data Engineer is responsible for … the data engineering team to support our expanding client base. You will collaborate with cross-functional teams to create scalable, efficient data architectures that power our AI and data analytics solutions. This role requires a technically excellent, strategic thinker with proven experience in leading data engineering teams and implementing enterprise-scale data solutions. JOB PURPOSE As part of the EMEA More ❯

and ability to work independently or as part of a team. Strong stakeholder management and communication skills. Desirable Experience with cloud-based BI platforms (e.g., Azure Data Factory, Synapse Analytics). Familiarity with Lloyd's regulatory reporting and actuarial datasets. Exposure to Python or R for advanced analytics. More ❯

and Data roadmap. Implementation and refinement of Data Governance. Ensure user adoption, and work closely with non-technical stakeholders to gain buy-in. Evolving the BI, Data, AI, and Analytics landscape (AI/ML). Tool selection, cost management, and team management. Experience required: Experience in building and scaling BI and Data Architecture. Expertise in modern BI and Data DW More ❯

and ability to work independently or as part of a team. Strong stakeholder management and communication skills. Desirable Experience with cloud-based BI platforms (e.g., Azure Data Factory, Synapse Analytics). Familiarity with Lloyd's regulatory reporting and actuarial datasets. Exposure to Python or R for advanced analytics. More ❯

years of experience in a BI analyst or similar role. Proficiency in SharePoint, Power Automate, Power Apps, Power BI, and SQL (TSQL/SQL Server). BI or data analytics certification is a plus. Strong analytical skills and experience with process mapping. Excellent communication skills and attention to detail. Knowledge of data governance and quality practices. What We Offer: A More ❯

increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that More ❯

increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that More ❯

increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that More ❯

increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that More ❯

insights, sculpting data into strategies that steer the ship. So step into the world of LACO, because we're not just your average Belgian-based business intelligence and data analytics company. We're the superheroes of many realms including Microsoft, SAS and Data Advisory , which earned us the rank of Microsoft Data & AI Solutions Partner. With a squad of over More ❯

increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that More ❯

for better future decision-making. Essential Skills Required Ability to investigate, interpret and translate data into actionable insight. Understanding of customer segmentation techniques, customer acquisition and lifetime values, predictive analytics, and forecasting. Expert of data manipulation and programming in SQL. Expert of Data Visualization tools such as Power BI, Tableau, etc. Experience in marketing campaign analysis. Can demonstrate commercial awareness More ❯

data models and dashboards to provide insights into business operations What You’ll Need: Experience working with Tableau or Power BI Bachelor’s degree (or equivalent) in Business, Data Analytics, Computer Science, Information Systems, or a related field Ability to communicate fluently in English Experience with SQL required Knowledge of data warehousing concepts and data modelling Experience of using Salesforce More ❯

on testing aspects, identification of risks and proposing and implementing their mitigations) Modelling, structuring and storing data along with their data flows for uses including - but not limited to - analytics, machine learning, data mining, compliance, business intelligence, sharing with applications and organisations Understand industry-recognised data modelling patterns and standards, and when to apply them. Compare and align different data More ❯

to mobilise change Advanced knowledge of project/product management platforms (JIRA & Confluence strongly preferred) Advanced knowledge of common data-manipulation tools (SQL, Google Sheets) Advanced knowledge of data analytics platforms (Looker preferred) Experienced in both lean and agile methodologies (Scrum, Kanban) IIBA-CCBA certification preferred Basic proficiency in at least one of the most commonly used backend programming languages More ❯

benefit from AI solutions (Machine Learning and Gen AI). Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps. Run experiments and monitor performance More ❯

a real impact, working with modern technology, and being part of something big — we’re just getting started. The team is building the foundation of Kramp's self-service analytics platform in a Google Cloud Platform-based data warehouse (DWH), feeding different targets such as: Data visualization tools (e.g., Tableau); Kramp's Machine Learning platform. What to expect: The Data More ❯

Azure services. Perform feature set engineering, report preparations, and ML tasks. Work with data scientists, ML engineers, and collaborators to deliver high-quality data solutions. Collaborate with the Data & Analytics Team on data infrastructure and ingestion. Discuss data inputs with Business Development and collaborators, advising on data integration. Ensure data accuracy and consistency across sources and systems. Optimize data workflows More ❯

to mobilise change Advanced knowledge of project/product management platforms (JIRA & Confluence strongly preferred) Advanced knowledge of common data-manipulation tools (SQL, Google Sheets) Advanced knowledge of data analytics platforms (Looker preferred) Experienced in both lean and agile methodologies (Scrum, Kanban) Desirable IIBA-CCBA certification preferred Basic proficiency in at least one of the most commonly used backend programming More ❯

Stock Exchange Group) is a world-leading financial markets infrastructure and data business. We are dedicated, open-access partners with a commitment to excellence in delivering services across Data & Analytics, Capital Markets, and Post Trade. Backed by three hundred years of experience, innovative technologies, and a team of over 23,000 people in 70 countries, our purpose is driving financial More ❯