A BI Analyst role in London offers a chance to influence strategic decisions in a growing financial services data team. The position's differentiator is its broad remit and potential for...
read more »
A BI Analyst role in London offers a chance to influence strategic decisions in a growing financial services data team. The position's differentiator is its broad remit and potential for professional growth, but there's a risk of evolving responsibilities that might outpace initial expectations. Salary is up to £45,000. The role requires SQL, dashboards, and reports, with familiarity in cloud data environments and automation tools as advantageous.
Fitch Group seeks a Data Operations – Associate Director (Banks) in London to oversee fundamental data collection, ensure data quality, and support process centralization. The role’s...
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Fitch Group seeks a Data Operations – Associate Director (Banks) in London to oversee fundamental data collection, ensure data quality, and support process centralization. The role’s differentiator is its focus on defining collection methodologies in a complex financial data environment, with a risk involving stakeholder management across jurisdictions. The position involves leveraging AI/ML and cloud solutions, with salary details not specified.
The BigQuery Cost Optimization Guide is a valuable resource that offers a deep dive into understanding and managing the complexities of BigQuery costs. It provides practical guidelines and strategies to help you optimize both storage and compute expenses, ensuring you get the most value out of...
Braze seeks a Senior Business Systems Analyst III to own the Partnerships tech stack, bridging business needs with Salesforce Experience Cloud, Crossbeam and Tray.ai. The role promises autonomy,...
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Braze seeks a Senior Business Systems Analyst III to own the Partnerships tech stack, bridging business needs with Salesforce Experience Cloud, Crossbeam and Tray.ai. The role promises autonomy, cross-functional influence, and AI-driven automation, but it’s also a high-visibility crucible: you’ll own requirements, design and integration work, UAT, data quality and process optimization across partner lead lifecycles. The obvious strengths are the depth of tooling and the chance to shape a strategic stack in a fast‑growing, globally distributed business. The risks are vagueness around product ownership boundaries, potential overreliance on vendor tools, and a workload that demands both business savvy and technical fluency (and Jira discipline) in equal measure. If you can translate business goals into scalable automations, you’ll stand out in a crowded market.
North Highland’s London Senior Consultant in Technology & Data promises to turn strategy into production, but it’s really a senior data-engineering role with client-facing stakes. You’ll architect...
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North Highland’s London Senior Consultant in Technology & Data promises to turn strategy into production, but it’s really a senior data-engineering role with client-facing stakes. You’ll architect end-to-end data solutions—from ingestion and ETL to analytics, BI and visualisation—bridging modern platforms with legacy systems. Expect to design data models, schemas, and metadata, implement data quality and governance, and apply AI techniques for automation, anomaly detection, and predictive data quality monitoring, all under ethical AI governance. Cloud depth is essential (AWS, Google Cloud, Azure), with enterprise tools like Power BI, Tableau, and Looker. The job asks for strong storytelling to execs, steady collaboration across teams, and travel up to 50%. No visa sponsorship. It’s a practical, delivery-driven market option, not a buzzword bingo.
This role seeks data consultants to drive innovative solutions across energy, transport, and urbanization, with a focus on strategic modeling, data management, and location intelligence. The...
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This role seeks data consultants to drive innovative solutions across energy, transport, and urbanization, with a focus on strategic modeling, data management, and location intelligence. The position emphasizes technical leadership, stakeholder engagement, and collaboration, requiring strong data manipulation, programming, and analytical skills. While the opportunity is exciting, the description lacks specific salary details and does not clearly define the technical stack or responsibilities in a way that distinguishes it from similar roles. The company’s mission is inspiring, but the role’s scope and expectations are not fully articulated, making it difficult to assess its market position or suitability for a data professional.
The role involves overseeing global sales processes and platforms within a CRM environment, with a key differentiator being the emphasis on aligning technological architecture with strategic sales...
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The role involves overseeing global sales processes and platforms within a CRM environment, with a key differentiator being the emphasis on aligning technological architecture with strategic sales goals. A potential risk is the challenge of ensuring high adoption rates across diverse regions, which could impact overall effectiveness.
O'Reilly: Building AI Agents with Model Context Protocol (MCP)
Design and implement composable agent architectures using MCP. Understand the MCP architecture and how it enables AI applications to access external context. Build MCP servers that expose tools, resources, and prompts to LLMs.
Exclaimer advertises a marketing analytics leadership role in a global SaaS business, demanding solid SQL, data viz in Power BI or Tableau, and hands‑on data engineering gusto. You’ll lead...
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Exclaimer advertises a marketing analytics leadership role in a global SaaS business, demanding solid SQL, data viz in Power BI or Tableau, and hands‑on data engineering gusto. You’ll lead scalable data models for the full marketing funnel, apply regression, time‑series and forecasting, design experiments, and translate findings into action while partnering with Data Engineering on a semantic layer. Expect Azure‑lean tooling (Databricks, Azure Data Factory) and familiarity with cloud platforms such as Snowflake or BigQuery. The challenge is juggling attribution, data quality at scale, and cross‑functional governance while keeping dashboards meaningful for business users. The opportunity sits in a growth SaaS vendor with big-name customers and a strong culture, but the posting leaves compensation murky and it isn’t a pure data engineering role.
Mastercard seeks a Performance Analytics consultant who leverages data and technology solutions to craft strategic insights for clients across various industries, integrating proprietary platforms...
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Mastercard seeks a Performance Analytics consultant who leverages data and technology solutions to craft strategic insights for clients across various industries, integrating proprietary platforms with traditional management consulting. The role’s differentiator is the combination of Mastercard’s rich data assets with strategic advisory, though the risk of handling sensitive financial data cannot be ignored. Candidates must manage complex projects and client relationships, with no explicit salary details provided.
Grayce offers a graduate data-related role with a starting salary of £28,000, focusing on tasks like requirements gathering, stakeholder engagement, SQL, Power BI, and Python. The unique aspect is...
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Grayce offers a graduate data-related role with a starting salary of £28,000, focusing on tasks like requirements gathering, stakeholder engagement, SQL, Power BI, and Python. The unique aspect is the rotational exposure across data analysis and governance roles, which reduces specialization risk. However, the role's success depends heavily on candidate adaptability and willingness to learn new tools, making it potentially risky for those seeking a narrowly defined position.
Data Automation & Analysis Internship
@ ricoh-europe
GB | 2025-12-23
Ricoh offers a 13-month internship in London for students interested in data analysis and robotic process automation, involving tasks such as process automation, stakeholder collaboration,...
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Ricoh offers a 13-month internship in London for students interested in data analysis and robotic process automation, involving tasks such as process automation, stakeholder collaboration, reporting, and market research. The role's differentiator is exposure to senior stakeholders up to VP level, though the inherent risk includes the typical uncertainties of an internship. The position requires familiarity with tools like Excel, Power Automate, and Power BI, with salary details not provided.
London-hybrid Data Analyst in Walkers’ Strategy & Architecture unit, heavy on API design and cross-system data exchanges within a global law firm. The role codifies data governance—data...
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London-hybrid Data Analyst in Walkers’ Strategy & Architecture unit, heavy on API design and cross-system data exchanges within a global law firm. The role codifies data governance—data dictionaries, lineage, and metadata standards—and designs APIs with REST, OpenAPI, and Postman testing. It sits at the interface between business needs and vendor-enabled integration, collaborating with architects, developers and stakeholders to ensure schemas and endpoints are fit for purpose. You’ll work with SQL and Python or R, Azure, Power BI and Fabric, plus ETL and data modelling. The upside is tangible influence on data strategy and dashboards; the downside includes documentation load, governance friction, and vendor delivery risk. Occasional travel and after-hours are on the cards. A solid, pragmatic data role that resists buzzword inflation.
A BI Analyst role in London offers a chance to influence strategic decisions in a growing financial services data team. The position's differentiator is its broad remit and potential for professional growth, but there's a risk of evolving responsibilities that might outpace initial expectations. Salary is up to £45,000. The role requires SQL, dashboards, and reports, with familiarity in cloud data environments and automation tools as advantageous.
Fitch Group seeks a Data Operations – Associate Director (Banks) in London to oversee fundamental data collection, ensure data quality, and support process centralization. The role’s differentiator is its focus on defining collection methodologies in a complex financial data environment, with a risk involving stakeholder management across jurisdictions. The position involves leveraging AI/ML and cloud solutions, with salary details not specified.
Braze seeks a Senior Business Systems Analyst III to own the Partnerships tech stack, bridging business needs with Salesforce Experience Cloud, Crossbeam and Tray.ai. The role promises autonomy, cross-functional influence, and AI-driven automation, but it’s also a high-visibility crucible: you’ll own requirements, design and integration work, UAT, data quality and process optimization across partner lead lifecycles. The obvious strengths are the depth of tooling and the chance to shape a strategic stack in a fast‑growing, globally distributed business. The risks are vagueness around product ownership boundaries, potential overreliance on vendor tools, and a workload that demands both business savvy and technical fluency (and Jira discipline) in equal measure. If you can translate business goals into scalable automations, you’ll stand out in a crowded market.
North Highland’s London Senior Consultant in Technology & Data promises to turn strategy into production, but it’s really a senior data-engineering role with client-facing stakes. You’ll architect end-to-end data solutions—from ingestion and ETL to analytics, BI and visualisation—bridging modern platforms with legacy systems. Expect to design data models, schemas, and metadata, implement data quality and governance, and apply AI techniques for automation, anomaly detection, and predictive data quality monitoring, all under ethical AI governance. Cloud depth is essential (AWS, Google Cloud, Azure), with enterprise tools like Power BI, Tableau, and Looker. The job asks for strong storytelling to execs, steady collaboration across teams, and travel up to 50%. No visa sponsorship. It’s a practical, delivery-driven market option, not a buzzword bingo.
This role seeks data consultants to drive innovative solutions across energy, transport, and urbanization, with a focus on strategic modeling, data management, and location intelligence. The position emphasizes technical leadership, stakeholder engagement, and collaboration, requiring strong data manipulation, programming, and analytical skills. While the opportunity is exciting, the description lacks specific salary details and does not clearly define the technical stack or responsibilities in a way that distinguishes it from similar roles. The company’s mission is inspiring, but the role’s scope and expectations are not fully articulated, making it difficult to assess its market position or suitability for a data professional.
The role involves overseeing global sales processes and platforms within a CRM environment, with a key differentiator being the emphasis on aligning technological architecture with strategic sales goals. A potential risk is the challenge of ensuring high adoption rates across diverse regions, which could impact overall effectiveness.
Exclaimer advertises a marketing analytics leadership role in a global SaaS business, demanding solid SQL, data viz in Power BI or Tableau, and hands‑on data engineering gusto. You’ll lead scalable data models for the full marketing funnel, apply regression, time‑series and forecasting, design experiments, and translate findings into action while partnering with Data Engineering on a semantic layer. Expect Azure‑lean tooling (Databricks, Azure Data Factory) and familiarity with cloud platforms such as Snowflake or BigQuery. The challenge is juggling attribution, data quality at scale, and cross‑functional governance while keeping dashboards meaningful for business users. The opportunity sits in a growth SaaS vendor with big-name customers and a strong culture, but the posting leaves compensation murky and it isn’t a pure data engineering role.
Mastercard seeks a Performance Analytics consultant who leverages data and technology solutions to craft strategic insights for clients across various industries, integrating proprietary platforms with traditional management consulting. The role’s differentiator is the combination of Mastercard’s rich data assets with strategic advisory, though the risk of handling sensitive financial data cannot be ignored. Candidates must manage complex projects and client relationships, with no explicit salary details provided.
Grayce offers a graduate data-related role with a starting salary of £28,000, focusing on tasks like requirements gathering, stakeholder engagement, SQL, Power BI, and Python. The unique aspect is the rotational exposure across data analysis and governance roles, which reduces specialization risk. However, the role's success depends heavily on candidate adaptability and willingness to learn new tools, making it potentially risky for those seeking a narrowly defined position.
Ricoh offers a 13-month internship in London for students interested in data analysis and robotic process automation, involving tasks such as process automation, stakeholder collaboration, reporting, and market research. The role's differentiator is exposure to senior stakeholders up to VP level, though the inherent risk includes the typical uncertainties of an internship. The position requires familiarity with tools like Excel, Power Automate, and Power BI, with salary details not provided.
London-hybrid Data Analyst in Walkers’ Strategy & Architecture unit, heavy on API design and cross-system data exchanges within a global law firm. The role codifies data governance—data dictionaries, lineage, and metadata standards—and designs APIs with REST, OpenAPI, and Postman testing. It sits at the interface between business needs and vendor-enabled integration, collaborating with architects, developers and stakeholders to ensure schemas and endpoints are fit for purpose. You’ll work with SQL and Python or R, Azure, Power BI and Fabric, plus ETL and data modelling. The upside is tangible influence on data strategy and dashboards; the downside includes documentation load, governance friction, and vendor delivery risk. Occasional travel and after-hours are on the cards. A solid, pragmatic data role that resists buzzword inflation.
