101 to 125 of 1,769 Remote Analytics Jobs

and communicate data models that underpin our digital and analytical solutions. About the Role We are seeking a detail-oriented and technically proficient Senior Engineer to join our Data & Analytics team. This role is instrumental in delivering clean, modern, and efficient data solutions across cloud-native platforms. Key Responsibilities Develop solutions across Snowflake, Azure, and DBT platforms. Lead migration and More ❯

innovation through data-driven experimentation and modeling. Architect scalable ML infrastructure and automated workflows using cloud-native tools (e.g., AWS, EC2, Kubernetes) to support efficient model training, deployment, and analytics across diverse datasets. Ensure long-term performance and compliance of production AI models through robust governance and monitoring. Provide technical leadership and mentorship to data scientists, shaping an innovative team More ❯

platform custom code to build interactive modules, conditional logic, dynamic content, and data integrations; advanced user generated data and digital content analysis Transportation: Developing advanced machine learning and data analytics models under the simulation or real-world applications of smart transportation, such as traffic signal control, traffic demand prediction, congestion management and causal analysis, emerging new mobilities. Contributing to the More ❯

values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great, what’s in More ❯

values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great, what’s in More ❯

values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great, what’s in More ❯

values consistency and process adherence. This role also offers genuine progression opportunities—whether you’re looking to deepen your technical expertise in cloud-based data tools, insights or predictive analytics, or data governance and strategy. If you feel this could be the right role for you, we would love to hear from you! That all sounds great, what’s in More ❯

Functional Consultant/Architect Expert in Dynamics 365 F&O (Finance & Project Operations) Proven ability to design and deliver end-to-end solutions Strong knowledge of BI, reporting, and analytics Deep understanding of business processes, especially professional services Excellent communicator, trainer, and mentor Committed to continuous learning and industry recognition Skilled in developing new solutions, defining roadmaps, and shaping product More ❯

innovation through data-driven experimentation and modeling. Architect scalable ML infrastructure and automated workflows using cloud-native tools (e.g., AWS, EC2, Kubernetes) to support efficient model training, deployment, and analytics across diverse datasets. Ensure long-term performance and compliance of production AI models though robust governance and monitoring. Provide technical leadership and mentorship to data scientists, shaping an innovative team More ❯

Design and analyse A/B tests to validate new product features. Provide clear insights that influence product, marketing, and leadership decisions. Ideal Candidate 8+ years' experience in data analytics, ideally in consumer apps or online platforms. Proficiency in SQL, Python, and BI tools (Tableau, Looker, Power BI). Experience working with subscription, engagement, or conversion funnel data. Strong communicator More ❯

Design and analyse A/B tests to validate new product features. Provide clear insights that influence product, marketing, and leadership decisions. Ideal Candidate 8+ years' experience in data analytics, ideally in consumer apps or online platforms. Proficiency in SQL, Python, and BI tools (Tableau, Looker, Power BI). Experience working with subscription, engagement, or conversion funnel data. Strong communicator More ❯

Design and analyse A/B tests to validate new product features. Provide clear insights that influence product, marketing, and leadership decisions. Ideal Candidate 8+ years' experience in data analytics, ideally in consumer apps or online platforms. Proficiency in SQL, Python, and BI tools (Tableau, Looker, Power BI). Experience working with subscription, engagement, or conversion funnel data. Strong communicator More ❯

approach to problem-solving in a data-rich environment. Client Details Our client is a London-based University. Description Develop and maintain robust SQL queries to support reporting and analytics Work with ETL tools to manage data pipelines and transformations Build insightful dashboards and reports using BI tools such as Power BI or Tableau Conduct thorough testing to ensure data More ❯

Python Developer (Python/Django) Location: Fully Remote Job Type: Full-Time Salary 80k - 100k About the Company: A fast-growing tech company revolutionizing the e-commerce/data analytics sector with cutting-edge software solutions. Join their dynamic engineering team and contribute to innovative projects. Job Description: We're looking for a passionate Python Developer (Python/Django) with More ❯

Data Governance: Understanding of data quality, data lineage, and metadata management principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing: Experience with dimensional modelling and data warehouse architecture patterns API Integration: Understanding of REST/SOAP APIs and data service architectures. Data More ❯

with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models to support analytics and reporting. Integrate external sources including Google Cloud Platform. Drive data governance with tools like Azure Purview. Collaborate with architects, BI teams, and stakeholders to ensure seamless data access. Apply More ❯

with Azure Data Factory, Synapse, and SQL Database. Lead the migration of on-premises SQL Server/SSIS workloads into Azure. Design data lakes, marts, and models to support analytics and reporting. Integrate external sources including Google Cloud Platform. Drive data governance with tools like Azure Purview. Collaborate with architects, BI teams, and stakeholders to ensure seamless data access. Apply More ❯

best and scale success. Communicate the story: Present insights clearly to both technical and non-technical stakeholders, influencing strategy and operational improvements. What You'll Bring: Experience in Data Analytics or Data Science, ideally in Customer Success, Operations or Digital Team. Strong SQL skills and experience with dashboarding tools such as Tableau. Familiarity with Snowflake, Databricks, Spark, and ETL processes. More ❯

Snowflake and cloud platforms . Collaborate with clients and internal teams to translate business needs into technical solutions. Optimise data processes for performance, quality, and cost efficiency. Support data analytics and data science teams with clean, well-structured datasets. About You Proven experience as a Data Engineer in a tech, consultancy, or financial services environment . Strong hands-on experience More ❯

optimisation best practices • Partner with business stakeholders and Data Business Partners to translate needs into BI solutions • Validate outputs and ensure accuracy against existing reports • Champion data use and analytics adoption across the organisation How to apply? For further details on the position and the company, please share your CV directly via the job advert. More ❯

practices , including version control, testing, and CI/CD. Desirable Skills Experience creating optimised data workflows and scalable AI solutions. Deep understanding of Microsoft Azure AI services. Strong data analytics and visualisation skills using Excel and Alteryx . Awareness of Responsible AI and ethical model design principles. More ❯

wide data solutions. What You ll Need Proven experience as a Business Analyst on large-scale data transformation programmes. Strong understanding of data platforms, data lakes, data governance, and analytics within enterprise environments. Experience working with cloud-based data solutions (e.g. Azure, AWS, or GCP) and associated technologies such as Data Lakes or Databricks. Excellent communication and stakeholder management skills More ❯

wide data solutions. What You’ll Need Proven experience as a Business Analyst on large-scale data transformation programmes. Strong understanding of data platforms, data lakes, data governance, and analytics within enterprise environments. Experience working with cloud-based data solutions (e.g. Azure, AWS, or GCP) and associated technologies such as Data Lakes or Databricks. Excellent communication and stakeholder management skills More ❯

drive business outcomes and innovation. Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to deliver robust solutions. Work on diverse projects ranging from predictive analytics to natural language processing, providing variety and challenge in your day-to-day work. Leverage your expertise to influence decision-making and enhance product functionality Key Skills Proficiency in Python More ❯

wide data solutions. What You’ll Need Proven experience as a Business Analyst on large-scale data transformation programmes. Strong understanding of data platforms, data lakes, data governance, and analytics within enterprise environments. Experience working with cloud-based data solutions (e.g. Azure, AWS, or GCP) and associated technologies such as Data Lakes or Databricks. Excellent communication and stakeholder management skills More ❯