26 to 50 of 430 Analytics Jobs in Berkshire

PMAX, affiliate ecosystems, and advertising optimisation Strong command of key advertising metrics (ROAS, CPC, CAC, CTR, CPM, CVR, LTV, etc.) Experience with analytics tools such as Google Ads reporting; Looker or FullStory is a plus Exceptional communication skills across technical and non-technical audiences Experience managing direct reports Strong analytical ...

PMAX, affiliate ecosystems, and advertising optimisation Strong command of key advertising metrics (ROAS, CPC, CAC, CTR, CPM, CVR, LTV, etc.) Experience with analytics tools such as Google Ads reporting; Looker or FullStory is a plus Exceptional communication skills across technical and non-technical audiences Experience managing direct reports Strong analytical ...

award-winning technology company building cutting-edge products that power the future of audience engagement, insight, and brand intelligence. Our platform leverages AI, data analytics, and beautifully designed digital experiences to help global brands understand, connect with, and activate their communities. We're now looking for an Engineering Lead/ ...

expertise in Databricks to design, build, and optimize the clients data platform. This role will be pivotal in developing scalable data pipelines, enabling advanced analytics, and driving data quality and governance across the organisation. You'll work closely with data scientists, analysts, and business stakeholders to transform raw data into ...

Exposure to integration projects (e.g., connecting CRM to ERP, websites, or third-party marketing tools).. Background in digital transformation, customer experience, or data analytics initiatives. Please apply for immediate consideration ...

compute, orchestration, and data tooling) Terraform for infrastructure deployment and environment management ETL/ELT pipelines, orchestration, and automation frameworks Snowflake for warehousing and analytics CI/CD via Jenkins Data integration with internal and 3rd-party APIs Secure data practices, governance, and compliance standards Nice to Haves: Industry exposure ...

Accountant (ACA, ACCA, CIMA, CPA, or equivalent) -Prior experience in a regulated or financial services environment (ideally) -Exposure to automation tools, data analytics, or process improvement methodologies. -1 Months notice ...

Agile frameworks Experience on Model Feedback Analysis, topic modelling, sentiment analysis Knowledge of AgentOps and OpenTelemetry Understanding of Network Security Concepts, Network Telemetry and Analytics Understanding of Cloud computing and Virtualization Exposure to APM/Observability tools (Dynatrace, AppDynamics, Datadog, Splunk etc) Exposure to onshore-offshore model working with professionals ...

remote work Career Growth: Structured professional development, mentorship, and training opportunities Modern Tech Stack: Work with the latest tools in data science, AI, and analytics Collaborative Culture: Be part of a supportive and innovative team Additional Perks: Pension scheme, private healthcare, and wellbeing initiatives How to Apply: Please apply with ...

guidance for HR teams worldwide. Work directly with vendors and partners to resolve issues and optimise configurations. Reporting & Insights Deliver meaningful dashboards and workforce analytics to support planning and decision-making. Partner with reporting teams to maintain accuracy and consistency of metrics. Track data quality KPIs and recommend improvements. About ...

guidance for HR teams worldwide. Work directly with vendors and partners to resolve issues and optimise configurations. Reporting & Insights Deliver meaningful dashboards and workforce analytics to support planning and decision-making. Partner with reporting teams to maintain accuracy and consistency of metrics. Track data quality KPIs and recommend improvements. About ...

guidance for HR teams worldwide. Work directly with vendors and partners to resolve issues and optimise configurations. Reporting & Insights Deliver meaningful dashboards and workforce analytics to support planning and decision-making. Partner with reporting teams to maintain accuracy and consistency of metrics. Track data quality KPIs and recommend improvements. About ...

Knowledge of tools such as Balsamiq, Mockplus, MS Visio Fundamental knowledge of Agile and exposure in Agile software development environment/projects Knowledge of Analytics and data science domain is a plus Comfortable documenting user stories and having solutioning experience Strong business, analytical and problem-solving skills Strong verbal/ ...

custom connectors. * Optimize Dataverse schema, relationships, and performance; manage large datasets, virtual tables, and row-level security. * Ensure data quality, telemetry, and Power BI analytics alignment with semantic models and governance. Delivery Leadership * Guide fusion teams (citizen devs + pro devs) with standards, code reviews, and hands-on coaching. * Work ...

people increasingly move across channels and platforms, Kantar Media's data and audience measurement, targeting, analytics and advertising intelligence services unlock insights to inform powerful decision-making. Working with panel and first-party data in over 80 countries, we have the world's fastest growing cross-media measurement footprint, underpinned ...

About the Company We're partnering with a fast-growing, product-led SaaS company to hire an Analytics Engineer/Data Engineer to help scale a modern data and analytics platform. About the Role This role sits between data engineering and analytics, with a strong focus on SQL modelling, data … quality, and analytics-ready datasets rather than raw ingestion-heavy pipelines. You'll take ownership of production analytics, enable stakeholders to self-serve with confidence, and play a key role in shaping how data is used across the business. It's a great fit for someone who enjoys building reliable ...

years' recent experience in financial services or fintech Desirable: Certifications such as Azure/Fabric Data Engineer Associate or SnowPro Advanced Architect Experience designing analytics platforms in regulated environments Personal Qualities Confident communicator with strong stakeholder engagement skills Analytical, detail‐driven, and structured in your approach Collaborative leader who enjoys ...

practices The Product Solutions Engineer will need to have the following skills/experience - Minimum 4 years of hands-on experience in data teams, analytics engineering, or a related field Must have at least 3+ years experience working within a Pre-sales or Post-sales capacity as a technical solutions ...

practices The Product Solutions Engineer will need to have the following skills/experience - Minimum 4 years of hands-on experience in data teams, analytics engineering, or a related field Must have at least 3+ years experience working within a Pre-sales or Post-sales capacity as a technical solutions ...

with quantitative analysts, product managers, and other engineers to design and implement robust, scalable, and high-performance solutions that support large-scale data processing, analytics, and optimization algorithms. Key Responsibilities Take active part in a team of developers working on my client's Portfolio Optimisation products Design software according ...

with third-party systems. Understanding of cloud technologies, SaaS delivery, automation frameworks (RPA/AI/ML), and digital assistants. Experience with intelligent automation, analytics, or process mining is highly advantageous. Soft Skills Excellent communication, leadership, and stakeholder management abilities. Strong problem-solving mindset with the ability to work across ...

with third-party systems. Understanding of cloud technologies, SaaS delivery, automation frameworks (RPA/AI/ML), and digital assistants. Experience with intelligent automation, analytics, or process mining is highly advantageous. Soft Skills Excellent communication, leadership, and stakeholder management abilities. Strong problem-solving mindset with the ability to work across ...

data requirements, documenting them according to the required standards, utilising the prescribed methods and tools. Implement data flows to connect operational systems, data for analytics and BI systems. Re-engineer manual data flows to enable scaling and repeatable use. Work closely with data architects and data scientists to determine which ...

will plan and lead data engineering activities across multiple programmes of work to deliver secure, robust and scalable data engineering solutions for complex data analytics products. You'll implement modern data engineering practices, build complex data pipelines and provide guidance to other team members to ensure optimal code performance ...

mini projects to gain practical experience and test your skills while you study. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry ...