Senior Data Analyst (Bangkok Based, relocation provided)
@ agoda
DE | 2025-12-28
Agoda’s Performance Marketing role is a data-heavy analytics position anchored in multi-channel experimentation across Google, Bing, Baidu, Naver and social platforms, with modeling and dashboards...
read more »
Senior Data Analyst (Bangkok Based, relocation provided)
agoda
(DE) FULL TIME | JOB LISTED
Agoda’s Performance Marketing role is a data-heavy analytics position anchored in multi-channel experimentation across Google, Bing, Baidu, Naver and social platforms, with modeling and dashboards for account managers. The requirements read like a lab manual: 4–5 years, a quantitative degree, advanced stats, SAS, R, SPSS, Python, SQL, Excel, Tableau, and a track record leading A/B tests with clear business impact. It sits inside Booking Holdings, in a diverse, global team that prizes experimentation and ownership. The challenges are real: massive volumes, attribution across channels, and the need to ship signals that actually move spend and LTV. Opportunities include global exposure, mentorship, and direct business influence. Where it stands out is scale and cross-channel modeling; caveats include buzzword-heavy culture and reliance on Excel-adjacent workflows. Overall: practical, not glamorous, and exactly the sort of role that makes you justify your tech stack choice.
Data Analyst (Bangkok Based, relocation provided)
@ agoda
DE | 2025-12-28
This role at Agoda is a high-impact, data-driven position within a globally recognized tech company. The job involves advanced analytics, A/B testing, and campaign optimization, with a focus on...
read more »
Data Analyst (Bangkok Based, relocation provided)
agoda
(DE) FULL TIME | JOB LISTED
This role at Agoda is a high-impact, data-driven position within a globally recognized tech company. The job involves advanced analytics, A/B testing, and campaign optimization, with a focus on search and social media platforms. The role requires strong statistical skills, proficiency in data tools, and experience in digital marketing. While the responsibilities align with the demands of a data engineer, the emphasis on marketing and the lack of clear salary details make the position somewhat unconventional. The company values diversity and innovation, but the role’s focus on marketing may limit its appeal to pure data engineers. The opportunity to work with a global team and contribute to impactful campaigns is significant, though the role is not explicitly tied to data engineering best practices, which could be a point of skepticism.
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.
Associate Data Analyst (New Graduate, Thai Speaking) (Bangkok Based)
@ agoda
DE | 2025-12-28
This role is a tantalizing yet misleading prospect for a data engineer. The job description highlights a performance marketing team focused on digital ads and campaign optimization, requiring...
read more »
Associate Data Analyst (New Graduate, Thai Speaking) (Bangkok Based)
agoda
(DE) FULL TIME | JOB LISTED
This role is a tantalizing yet misleading prospect for a data engineer. The job description highlights a performance marketing team focused on digital ads and campaign optimization, requiring expertise in Google, Facebook, and SQL. The requirements include a bachelor’s in quantitative fields, proficiency in Excel, and familiarity with data tools. While the position emphasizes innovation and collaboration, the focus is on marketing metrics rather than foundational data engineering. The company’s emphasis on diversity and inclusion is commendable, but the role does not clearly align with data engineering principles or technical depth. The salary is not explicitly provided, and the job description lacks clarity on technical challenges and responsibilities. It is a niche opportunity for those with marketing experience and a keen interest in data analytics, but it may not reflect the core data engineering mandate of the company.
SumUp’s newly created Performance Marketing Manager for Talent Acquisition in Berlin is charged with unifying ads, the careers site, and ATS data into an insight-led candidate journey. It promises...
read more »
SumUp’s newly created Performance Marketing Manager for Talent Acquisition in Berlin is charged with unifying ads, the careers site, and ATS data into an insight-led candidate journey. It promises high autonomy to build a repeatable performance discipline that scales across Europe’s hiring markets, tying marketing spend to hiring outcomes. The tech emphasis is unmistakable: GTM, GA4, UTMs, ATS analytics, and hands-on campaign management on LinkedIn, Google, and Meta, plus landing-page testing and unified dashboards for ROI and conversion health. It’s a compelling proposition for data-driven recruitment and rapid iteration, but the risk is clear: chasing funnel metrics can misalign with actual hiring quality, all under privacy and attribution constraints. SumUp’s Berlin base, global reach, and solid benefits are attractive, though the office-first stance and pace may challenge candidates who prize flexibility and candor over buzz.
A Growth Marketing Specialist position in Berlin for Lightspeed's DACH region involves managing performance campaigns across various channels, collaborating with teams, and analyzing metrics to...
read more »
A Growth Marketing Specialist position in Berlin for Lightspeed's DACH region involves managing performance campaigns across various channels, collaborating with teams, and analyzing metrics to hit growth targets. Their unique aspect is working within a global SaaS company with a strong emphasis on multi-channel marketing. The risk includes the tight reliance on campaign performance and budget management, which can lead to significant setbacks if not well-executed. Salary details are not provided in the job description.
This role is a misrepresentation of what data engineering entails. The job description promotes a marketing team focused on text ads and campaign optimization, yet the core responsibilities...
read more »
This role is a misrepresentation of what data engineering entails. The job description promotes a marketing team focused on text ads and campaign optimization, yet the core responsibilities revolve around data analysis, modeling, and dashboard creation—key skills for a data engineer. The emphasis on digital marketing and creative ideation is misleading, as the role lacks clear technical requirements and does not align with the technical rigor expected in a data engineering position. The company’s focus on diversity and inclusion is commendable, but the job description fails to highlight the technical depth and innovation expected in a real data engineering role. The salary is not explicitly provided, and the job type is unspecified, making it difficult to assess the actual compensation and opportunities. The role is a misaligned mix of marketing and data analysis, with little clarity on the technical skills and tools required.
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.
A role supporting dashboard and report creation within a health software company operating in 19 countries, emphasizing data visualization, SQL querying, and process automation. The unique aspect...
read more »
A role supporting dashboard and report creation within a health software company operating in 19 countries, emphasizing data visualization, SQL querying, and process automation. The unique aspect is the focus on dynamic healthcare data; however, a risk is limited career growth due to the entry-level nature of the tasks. No salary details are provided, but the role offers exposure to cross-functional collaboration.
UXCam seeks a Head of Product to steer AI-powered analytics, overseeing a small Berlin-based team in a role that emphasizes strategy, cross-functional leadership, and innovation in product...
read more »
UXCam seeks a Head of Product to steer AI-powered analytics, overseeing a small Berlin-based team in a role that emphasizes strategy, cross-functional leadership, and innovation in product analytics. The standout feature is a focus on unifying session understanding and analytics to enhance decision-making. A notable risk is the dependency on AI, which requires robust oversight to avoid potential missteps or overreliance. The position involves defining vision, translating it into outcomes, and collaborating across functions, with no explicit salary details provided.
Team Lead Product Analyst -Lounge by Zalando (all genders)
@ zalando
DE | 2025-12-26
Lounge by Zalando's Principal Analyst role sits at the edge of data and product, charged with pricing and assortment optimization in a high-growth, discount-driven e-commerce environment. It's...
read more »
Team Lead Product Analyst -Lounge by Zalando (all genders)
zalando
(DE) FULL TIME | JOB LISTED
Lounge by Zalando's Principal Analyst role sits at the edge of data and product, charged with pricing and assortment optimization in a high-growth, discount-driven e-commerce environment. It's less about rolling out dashboards than translating noisy telemetry into business bets, acting as a bridge among product, UX, engineering, data science and marketing. The tech tag list is familiar but demanding: Python for modeling, A/B testing and causal inference to prove cause and effect, GenAI tooling to automate insight generation, Airflow-powered pipelines, and Tableau dashboards. The role emphasizes leadership over hands-on data wrangling yet demands deep analytics fluency across customer journeys, not just vanity metrics. Strengths: explicit focus on experiment design, scalable impact, and cross-functional influence across 21 European markets. Risks: breadth over depth, potential overreliance on flashy GenAI, and no salary detail in a role that asks for 5+ years in analytics and 2+ years leading teams.
[GLOBAL/INT] [MARKETING] Product Marketing Lead -Global Partnerships
@ hellofresh
DE | 2025-12-26
This senior Product Marketing Lead role involves overseeing high-stakes corporate and brand partnership campaigns globally, emphasizing strategic messaging and operational execution. The key...
read more »
[GLOBAL/INT] [MARKETING] Product Marketing Lead -Global Partnerships
hellofresh
(DE) FULL TIME | JOB LISTED
This senior Product Marketing Lead role involves overseeing high-stakes corporate and brand partnership campaigns globally, emphasizing strategic messaging and operational execution. The key differentiator is acting as the sole point of contact for complex workstreams. A potential risk is the sole ownership burden, which could lead to bottlenecks or oversight. Salary details are not specified.
Amazon seeks marketing interns, including students graduating in 2027, to support brand strategy, campaign execution, and network improvements in Europe. The role's differentiator is the...
read more »
Amazon seeks marketing interns, including students graduating in 2027, to support brand strategy, campaign execution, and network improvements in Europe. The role's differentiator is the opportunity for hands-on experience and potential progression, but with the risk that the internship is temporary and depends on successful completion for future roles. It involves collaboration, learning, and supporting global-to-local adaptation, all within a supportive environment. Salary is provided, but specifics are not detailed here.
Consultant Business Intelligence - Dein Einstieg in AI Insights (m/w/d)
@ deloitte
DE | 2025-12-24
Deloitte markets a Consultant Business Intelligence role inside its AI and Data practice, promising end-to-end advise and delivery from AI strategy to platform build and visual analytics. You’ll...
read more »
Consultant Business Intelligence - Dein Einstieg in AI Insights (m/w/d)
deloitte
(DE) FULL TIME | JOB LISTED
Deloitte markets a Consultant Business Intelligence role inside its AI and Data practice, promising end-to-end advise and delivery from AI strategy to platform build and visual analytics. You’ll advise on UI/UX, finance, logistics and architecture, and craft frontend solutions with Tableau, Qlik, QuickSight and Power BI, plus prototype and scale actual client work. Travel may be required; locations cover major German cities. The upside is proximity to enterprise-scale BI and AI initiatives, Deloitte University training, and attractive perks; the downside is the consulting grind: busy client-facing days, broad scope with variable depth in cloud/architecture, and a heavy emphasis on business outcomes over pure engineering craft. The Tech stack stays mainstream—BI tools and dashboards more than bespoke data engineering, with a path toward practice leadership if you can endure the bureaucracy and maintain a learning cadence. Not revolutionary, but a solid pathway for BI/AI pragmatists.
Senior Data Analyst (Bangkok Based, relocation provided)
agoda
(DE) FULL TIME | JOB LISTED
Agoda’s Performance Marketing role is a data-heavy analytics position anchored in multi-channel experimentation across Google, Bing, Baidu, Naver and social platforms, with modeling and dashboards for account managers. The requirements read like a lab manual: 4–5 years, a quantitative degree, advanced stats, SAS, R, SPSS, Python, SQL, Excel, Tableau, and a track record leading A/B tests with clear business impact. It sits inside Booking Holdings, in a diverse, global team that prizes experimentation and ownership. The challenges are real: massive volumes, attribution across channels, and the need to ship signals that actually move spend and LTV. Opportunities include global exposure, mentorship, and direct business influence. Where it stands out is scale and cross-channel modeling; caveats include buzzword-heavy culture and reliance on Excel-adjacent workflows. Overall: practical, not glamorous, and exactly the sort of role that makes you justify your tech stack choice.
Data Analyst (Bangkok Based, relocation provided)
agoda
(DE) FULL TIME | JOB LISTED
This role at Agoda is a high-impact, data-driven position within a globally recognized tech company. The job involves advanced analytics, A/B testing, and campaign optimization, with a focus on search and social media platforms. The role requires strong statistical skills, proficiency in data tools, and experience in digital marketing. While the responsibilities align with the demands of a data engineer, the emphasis on marketing and the lack of clear salary details make the position somewhat unconventional. The company values diversity and innovation, but the role’s focus on marketing may limit its appeal to pure data engineers. The opportunity to work with a global team and contribute to impactful campaigns is significant, though the role is not explicitly tied to data engineering best practices, which could be a point of skepticism.
Associate Data Analyst (New Graduate, Thai Speaking) (Bangkok Based)
agoda
(DE) FULL TIME | JOB LISTED
This role is a tantalizing yet misleading prospect for a data engineer. The job description highlights a performance marketing team focused on digital ads and campaign optimization, requiring expertise in Google, Facebook, and SQL. The requirements include a bachelor’s in quantitative fields, proficiency in Excel, and familiarity with data tools. While the position emphasizes innovation and collaboration, the focus is on marketing metrics rather than foundational data engineering. The company’s emphasis on diversity and inclusion is commendable, but the role does not clearly align with data engineering principles or technical depth. The salary is not explicitly provided, and the job description lacks clarity on technical challenges and responsibilities. It is a niche opportunity for those with marketing experience and a keen interest in data analytics, but it may not reflect the core data engineering mandate of the company.
SumUp’s newly created Performance Marketing Manager for Talent Acquisition in Berlin is charged with unifying ads, the careers site, and ATS data into an insight-led candidate journey. It promises high autonomy to build a repeatable performance discipline that scales across Europe’s hiring markets, tying marketing spend to hiring outcomes. The tech emphasis is unmistakable: GTM, GA4, UTMs, ATS analytics, and hands-on campaign management on LinkedIn, Google, and Meta, plus landing-page testing and unified dashboards for ROI and conversion health. It’s a compelling proposition for data-driven recruitment and rapid iteration, but the risk is clear: chasing funnel metrics can misalign with actual hiring quality, all under privacy and attribution constraints. SumUp’s Berlin base, global reach, and solid benefits are attractive, though the office-first stance and pace may challenge candidates who prize flexibility and candor over buzz.
A Growth Marketing Specialist position in Berlin for Lightspeed's DACH region involves managing performance campaigns across various channels, collaborating with teams, and analyzing metrics to hit growth targets. Their unique aspect is working within a global SaaS company with a strong emphasis on multi-channel marketing. The risk includes the tight reliance on campaign performance and budget management, which can lead to significant setbacks if not well-executed. Salary details are not provided in the job description.
This role is a misrepresentation of what data engineering entails. The job description promotes a marketing team focused on text ads and campaign optimization, yet the core responsibilities revolve around data analysis, modeling, and dashboard creation—key skills for a data engineer. The emphasis on digital marketing and creative ideation is misleading, as the role lacks clear technical requirements and does not align with the technical rigor expected in a data engineering position. The company’s focus on diversity and inclusion is commendable, but the job description fails to highlight the technical depth and innovation expected in a real data engineering role. The salary is not explicitly provided, and the job type is unspecified, making it difficult to assess the actual compensation and opportunities. The role is a misaligned mix of marketing and data analysis, with little clarity on the technical skills and tools required.
A role supporting dashboard and report creation within a health software company operating in 19 countries, emphasizing data visualization, SQL querying, and process automation. The unique aspect is the focus on dynamic healthcare data; however, a risk is limited career growth due to the entry-level nature of the tasks. No salary details are provided, but the role offers exposure to cross-functional collaboration.
UXCam seeks a Head of Product to steer AI-powered analytics, overseeing a small Berlin-based team in a role that emphasizes strategy, cross-functional leadership, and innovation in product analytics. The standout feature is a focus on unifying session understanding and analytics to enhance decision-making. A notable risk is the dependency on AI, which requires robust oversight to avoid potential missteps or overreliance. The position involves defining vision, translating it into outcomes, and collaborating across functions, with no explicit salary details provided.
Team Lead Product Analyst -Lounge by Zalando (all genders)
zalando
(DE) FULL TIME | JOB LISTED
Lounge by Zalando's Principal Analyst role sits at the edge of data and product, charged with pricing and assortment optimization in a high-growth, discount-driven e-commerce environment. It's less about rolling out dashboards than translating noisy telemetry into business bets, acting as a bridge among product, UX, engineering, data science and marketing. The tech tag list is familiar but demanding: Python for modeling, A/B testing and causal inference to prove cause and effect, GenAI tooling to automate insight generation, Airflow-powered pipelines, and Tableau dashboards. The role emphasizes leadership over hands-on data wrangling yet demands deep analytics fluency across customer journeys, not just vanity metrics. Strengths: explicit focus on experiment design, scalable impact, and cross-functional influence across 21 European markets. Risks: breadth over depth, potential overreliance on flashy GenAI, and no salary detail in a role that asks for 5+ years in analytics and 2+ years leading teams.
[GLOBAL/INT] [MARKETING] Product Marketing Lead -Global Partnerships
hellofresh
(DE) FULL TIME | JOB LISTED
This senior Product Marketing Lead role involves overseeing high-stakes corporate and brand partnership campaigns globally, emphasizing strategic messaging and operational execution. The key differentiator is acting as the sole point of contact for complex workstreams. A potential risk is the sole ownership burden, which could lead to bottlenecks or oversight. Salary details are not specified.
Amazon seeks marketing interns, including students graduating in 2027, to support brand strategy, campaign execution, and network improvements in Europe. The role's differentiator is the opportunity for hands-on experience and potential progression, but with the risk that the internship is temporary and depends on successful completion for future roles. It involves collaboration, learning, and supporting global-to-local adaptation, all within a supportive environment. Salary is provided, but specifics are not detailed here.
Consultant Business Intelligence - Dein Einstieg in AI Insights (m/w/d)
deloitte
(DE) FULL TIME | JOB LISTED
Deloitte markets a Consultant Business Intelligence role inside its AI and Data practice, promising end-to-end advise and delivery from AI strategy to platform build and visual analytics. You’ll advise on UI/UX, finance, logistics and architecture, and craft frontend solutions with Tableau, Qlik, QuickSight and Power BI, plus prototype and scale actual client work. Travel may be required; locations cover major German cities. The upside is proximity to enterprise-scale BI and AI initiatives, Deloitte University training, and attractive perks; the downside is the consulting grind: busy client-facing days, broad scope with variable depth in cloud/architecture, and a heavy emphasis on business outcomes over pure engineering craft. The Tech stack stays mainstream—BI tools and dashboards more than bespoke data engineering, with a path toward practice leadership if you can endure the bureaucracy and maintain a learning cadence. Not revolutionary, but a solid pathway for BI/AI pragmatists.
