1 to 25 of 260 Google Jobs in the South East

daily analysis.• Gap Analysis and Resolution: Identify information gaps, inconsistencies, and inaccuracies in current data systems and develop actionable strategies to address and resolve them.• Data Integration & Visualisation:• Utilize Google Notebook, Looker and other Google-related tools to extract, visualize, and present data effectively.• Create strong connections between different data sources to ensure seamless data integration and accessibility.• Automation and … are automated to the greatest extent possible, ensuring process efficiency and simplification. Required Qualifications: • Bachelor's degree in Business, Data Analytics, Information Systems or a related field.• Proficiency in Google Tools and Coding: Expertise in SQL language, Google Notebooklm, Looker and other Google-related tools such as Google Sheets, Google Data Studio, and Google BigQuery, as well as SQL.• Analytical … to perform well under time pressure (e.g., for troubleshooting and managing multiple priorities). Top 3 Must have-hard skills: Data analytics – SQL experience Dashboard Experience- visualisation tools Utilize Google related tools to extract, visualize & present data More ❯

daily analysis.• Gap Analysis and Resolution: Identify information gaps, inconsistencies, and inaccuracies in current data systems and develop actionable strategies to address and resolve them.• Data Integration & Visualisation:• Utilize Google Notebook, Looker and other Google-related tools to extract, visualize, and present data effectively.• Create strong connections between different data sources to ensure seamless data integration and accessibility.• Automation and … are automated to the greatest extent possible, ensuring process efficiency and simplification. Required Qualifications: • Bachelor's degree in Business, Data Analytics, Information Systems or a related field.• Proficiency in Google Tools and Coding: Expertise in SQL language, Google Notebooklm, Looker and other Google-related tools such as Google Sheets, Google Data Studio, and Google BigQuery, as well as SQL.• Analytical … to perform well under time pressure (e.g., for troubleshooting and managing multiple priorities). Top 3 Must have-hard skills: Data analytics – SQL experience Dashboard Experience- visualisation tools Utilize Google related tools to extract, visualize & present data More ❯

scalable and automated reporting solutions that facilitate daily analysis. Identify information gaps, inconsistencies, and inaccuracies in current data systems and develop actionable strategies to address and resolve them. Utilize Google Notebooklm, Looker and other Google-related tools to extract, visualize, and present data effectively. Create strong connections between different data sources to ensure seamless data integration and accessibility. Design solutions … that are automated to the greatest extent possible, ensuring process efficiency and simplification. Essential: Background in Data Analytics Proficiency in Google Tools and Coding: Expertise in SQL language, Google Notebooklm, Looker and other Google-related tools such as Google Sheets, Google Data Studio, and Google BigQuery, as well as SQL. Analytical Skills: Strong ability to analyse complex data sets, identify More ❯

cloud environments. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Adaptability and enthusiasm for handling changing priorities. Experience with other cloud platforms (e.g., AWS, Google Cloud). Knowledge of Agile methodologies. The Where and When This is a full-time (35 hours/week) role based in Manchester or Milton Keynes. We operate a flexible More ❯

advantage Nice to Have Experience with NLP for customer feedback or support ticket analysis Exposure to MLOps for model deployment and monitoring Familiarity with tools like Amplitude, Mixpanel, or Google Analytics Why Join Us? Shape data-driven strategy for how we understand and engage with our customers Collaborate with cross-functional teams and influence C-level decision-making Work in More ❯

Create documentation, user guides, and training materials for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend More ❯

Create documentation, user guides, and training materials for clients Present findings and recommendations to senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend More ❯

analytical and problem-solving skills. Excellent communication and interpersonal skills. Ability to work independently and as part of a team. Experience with cloud platforms such as Azure, (AWS or Google Cloud) Good knowledge of optimisation techniques and design patterns for large data solutions. Bachelor's or master's degree in data science, Statistics, Computer Science, or a related field is More ❯

Resource Planning systems. Experience developing systems with Kafka and stream processing techniques. Experience with Linux and running containers on Kubernetes. Experience with cloud technologies e.g. Microsoft Azure, AWS, or Google Cloud. Personal Attributes: Self-motivated with high levels of initiative. Highly productive with the aptitude to understand and apply technology. You enjoy working with people to solve problems, choosing the More ❯

experience building single page applications to join our product team working on Plyable's web apps. Our sites are written in modern Angular (TypeScript) and Django and hosted on Google App Engine and Kubernetes. We are a rapidly growing company, so there is excellent scope for growth and to shape your role, and you will be able to work with More ❯

a related field. 10+ years of experience in data engineering, architecture, or platform management roles, with 5+ years in leadership positions. Expertise in modern data platforms (e.g., Azure, AWS, Google Cloud) and big data technologies (e.g., Spark, Kafka, Hadoop). Strong knowledge of data governance frameworks, regulatory compliance (e.g., GDPR, CCPA), and data security best practices. Proven experience in enterprise More ❯

and challenges. Offer expert guidance on IT best practices, solution optimisation, and innovative technology adoption, including cloud services, cybersecurity, and workplace technologies such as Microsoft 365, Azure, AWS, and Google Cloud Platform. Translate technical concepts into business-aligned language for non-technical stakeholders. Advise on emerging technologies like AI and machine learning, and how these can support client objectives. Help More ❯

Experience with Python for advanced data analysis, statistical modelling, and automation Comfortable with a variety of data sets, testing methodologies, and success metrics Hands-on experience with web analytics (Google Analytics, Adobe Analytics) and visualisation tools) Understanding of performance product and marketing channels Experience with ad trafficking, tracking mechanisms, and digital marketing platforms Attention to detail, pursuit of the truth More ❯

BI tools (SSIS, SSRS). Strong SQL Server skills, including query optimisation and performance tuning. Familiarity with scheduling and orchestration tools (e.g. Control-M). Hands-on experience with Google Cloud tools such as BigQuery, Composer, and VertexAI. Proficient in Python for data manipulation and modelling. Strong skills in data visualisation using Tableau Desirable: Background in insurance or financial services More ❯

problem-solving skills with the ability to diagnose complex issues using observability tools and logs Exposure to cloud-native monitoring for platforms such as Azure Monitor, AWS CloudWatch, or Google Cloud Operations Experience with implementing self-healing alerts/systems based on tools such as VMware vCF Operations, Syslog Splunk and VMware LogInsight Proficiency with observability of Kubernetes clusters Professional More ❯

leading and delivering complex digital programmes and projects from concept to launch. Expertise in agile development methodologies and project management tools. Experience with data analytics and visualization tools (e.g., Google Analytics, Looker). Demonstrated ability to build, lead, and motivate high-performing technical teams. Confident in presenting digital strategies, project progress, and outcomes to various stakeholders, including board-level reporting. More ❯

ability to lead data modelling workshops, and liaise with technical and non-technical audiences. Experience in implementing solutions using cloud-based data platforms and interoperability frameworks (e.g., Azure, Snowflake, Google Cloud, Mirth Connect and other accelerators). Nice to have: Experience in using programming languages such as SQL, Python, R and working in collaborative development tools. Familiarity with AI models. More ❯

SKILLS & EXPERIENCE The ideal candidate will have: Strong client-facing experience - ideally from a consultancy or agency environment Proficiency in Python and SQL Experience with digital analytics tools (e.g., Google Analytics, Adobe Analytics) Solid background in marketing analytics (MMM, LTV, attribution, segmentation) Ability to scope and deliver end-to-end projects Comfortable working autonomously in a fast-paced, start-up More ❯

a rare role where data isn't siloed - you'll be at the heart of decision-making. Key Responsibilities Analyse and connect data from systems like Salesforce, NetSuite, and Google Analytics Deliver insights around pricing, product, and market performance Build dashboards and BI tools (Power BI and DOMO) for commercial use Lead forecasting, reporting automation, and strategic analysis cycles Train More ❯

Develop features across our TypeScript/React frontend, Next.js stack, and Python backend services, balancing rapid development with long-term system design. Design Cloud Infrastructure : Build and maintain our Google Cloud architecture, database systems, and deployment pipelines that support mission-critical drone operations. Collaborate Cross-Functionally : Partner with Operations and Integration Teams to gather feedback, test new features, and improve More ❯

on experience) HOW TO APPLY Please register your interest by sending your CV to Adam Osborne at Harnham via the Apply link on this page KEY TERMS IBM, Coremetrics, Google Analytics, GA, Omniture, SiteCatalyst, Adobe Analytics, DTM, Dynamic Tag Manager, Ensighten, Tealium, Analyst, Web, Digital, Online, Website, Financial Services, Finance, A/B, Test, Split, Multivariate, MVT, Tracking, Code, Tagging More ❯

no flexibility) We're working with a major UK retail group that's rapidly expanding its brand portfolio and investing heavily in digital transformation. They've recently migrated to Google Cloud Platform and are continuing to build out a robust Analytics function. As part of this growth, they're hiring a Senior Digital Product Analyst to join their Product Analytics More ❯

to suggest new tools and strategies to continuously enhance the company's data capabilities. YOUR SKILLS AND EXPERIENCE: The ideal Head of Data Platform will have: Extensive experience with Google Cloud Platform (GCP), particularly BigQuery Proficiency with a modern data tech stack, including SQL, Python, Airflow, dbt, Dataform, Terraform Experience in a mid-large sized company within a regulated industry More ❯

to be involved in the following: Overseeing a small team of Data Engineers, with scope to build and upskill the function Leading and executing a data platform migration into Google Cloud Platform (GCP) -initially in partnership with a consultancy Owning all aspects of the data warehouse, ETL/ELT, and platform infrastructure (DevOps, FinOps) Driving forward best practices in data More ❯

such as Python, SQL, or Java. Familiarity with data processing frameworks and tools (e.g., Apache Spark, Hadoop, Kafka) is a plus. Basic understanding of cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledge of database systems (e.g., MySQL, PostgreSQL, MongoDB) and data warehousing concepts. Excellent problem-solving skills and a keen attention to detail. Strong communication and More ❯