SQL - the cockroach of database languages that simply refuses to die, and thank heavens for that. Born in IBM's labs in the 1970s, this venerable query language has survived more "SQL killers" than one can count on both hands, from NoSQL to graph databases to whatever newfangled abstraction Silicon Valley has dreamed up this week. Despite being older than most developers wielding it, SQL remains the lingua franca of data manipulation, powering everything from legacy systems to modern cloud warehouses like Snowflake and BigQuery. While the cool kids play with their Spark notebooks and MongoDB clusters, SQL quietly gets on with the job of, well, actually querying data. Its declarative nature and standardization (mostly - looking at you, MySQL) make it surprisingly relevant for modern data tasks. Yes, it has its quirks - try explaining window functions to a junior analyst - but SQL's staying power is nothing short of remarkable in an industry obsessed with the next big thing.
Senior Consultant (w/m/d) Business Data Cloud & Insights
@ sap
DE | 2025-12-28
SAP seeks a data analytics consultant to advise on the SAP Data & Analytics Portfolio, with focus on SAP Business Data Cloud, SAP Datasphere, SAP HANA Cloud, Data Warehousing, AI, SAP Analytics...
read more »
Senior Consultant (w/m/d) Business Data Cloud & Insights
sap
(DE) FULL TIME | JOB LISTED
SAP seeks a data analytics consultant to advise on the SAP Data & Analytics Portfolio, with focus on SAP Business Data Cloud, SAP Datasphere, SAP HANA Cloud, Data Warehousing, AI, SAP Analytics Cloud, and SAP BTP. Your remit: design system/IT landscapes and data architectures aligned to client strategy, integrate non-SAP solutions, and support account teams in evaluation and sales. It promises a culture of learning, a young Hamburg-Berlin team, and real responsibility; travel up to 80% is on the table. The upside is exposure to a coherent cloud analytics stack and cross-functional client delivery; the downside is a steep SAP-specialist bar, vendor-lock risk, and the constant tension between consulting sales and credible implementation. If you crave edge-case SAP projects and a visible impact, this role has the skeleton for it, not the glow.
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.
The Fundamentals of Analytics Engineering gives a holistic understanding of the analytics engineering lifecycle by integrating principles from both data analysis and engineering. It's a book that teaches concepts and best practices, not just tools and technologies.
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.
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.
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.
Senior Consultant (w/m/d) Business Data Cloud & Insights
@ sap
DE | 2025-12-27
SAP’s Analytics & Insight role reads like a straight line: advise clients on evaluating and implementing the SAP Data & Analytics portfolio, with possible focus on SAP Business Data Cloud,...
read more »
Senior Consultant (w/m/d) Business Data Cloud & Insights
sap
(DE) FULL TIME | JOB LISTED
SAP’s Analytics & Insight role reads like a straight line: advise clients on evaluating and implementing the SAP Data & Analytics portfolio, with possible focus on SAP Business Data Cloud, Datasphere, HANA Cloud, Data Warehousing, AI, SAP Analytics Cloud, and SAP BTP, while stitching in non-SAP solutions and supporting sales. It promises constant learning, team growth, and generous benefits, but it’s a consultancy-heavy, SAP-centric track that rewards deep platform pedigree over generic cloud chops. Expect 5+ years in SAP analytics, proficiency in at least two flagship analytics solutions, and coding fluency in ABAP, Java, JavaScript, Python, R, or SQL. Berlin/Hamburg growth, German language fluency, and a Can Do culture are non-negotiables. The market angle? a solid moat for SAP pros, with limited transferability to broader data engineering roles outside SAP’s orbit.
Masthead is a data reliability platform built for Google Cloud, focused on detecting anomalies and ensuring smooth data pipeline operations. It offers real-time notifications for data issues and pipeline errors without direct access to your sensitive data.
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.
Docmetric markets itself as the future of e-health and hires a Data Analyst to clean, enrich, and normalize health data in Python, with dashboards and reports translating stakeholder needs into...
read more »
Docmetric markets itself as the future of e-health and hires a Data Analyst to clean, enrich, and normalize health data in Python, with dashboards and reports translating stakeholder needs into data reality. You’ll wrestle with structured and unstructured healthcare data from a mosaic of sources, optimize data quality, and help build internal data stores. Expect 3+ years in data analytics, a Python/Pandas/SQL backbone, and a belt of NoSQL flavor via Elasticsearch or similar, with PowerBI as the reporting face. The role reads like a bridge between healthcare and digital transformation, but beware the hype: a Start-Up vibe inside a corporate chassis can be opaque on career progression and governance, and the legal/privacy guard rails around patient data in Germany/GDPR will chew time if you don’t budget it. Still, a mission-driven, technically broad role in a crisis-resilient market is rare.
Fever's Growth Senior Analyst positions you at the data-to-growth hinge of a culture and live-entertainment platform that claims 300 million monthly users across 40 countries. You own a pipeline...
read more »
Fever's Growth Senior Analyst positions you at the data-to-growth hinge of a culture and live-entertainment platform that claims 300 million monthly users across 40 countries. You own a pipeline of cross-market projects, designing end-to-end solutions and translating analytics into strategy for growth across departments. The role demands strong SQL, Python or R, and fluent business storytelling, with the patience to influence multiple stakeholders in an international, fast-moving environment. Autonomy comes with a burden: heavy prioritization, ambiguous data, and the need to prove impact beyond buzzwords. Fever markets its partnerships with Netflix and Primavera Sound as proof of scale, but real value will be measured by implemented insights and revenue lift, not glossy decks. Madrid-based, English required, Spanish a plus; solid perks and a healthy dose of pragmatism.
Flink seeks a Dispatching Intelligence Analyst to improve operational efficiency through data analysis, modeling, and collaboration with product, engineering, and business teams. The role’s...
read more »
Flink seeks a Dispatching Intelligence Analyst to improve operational efficiency through data analysis, modeling, and collaboration with product, engineering, and business teams. The role’s differentiator is the opportunity to impact core logistics systems, but there's a risk of over-reliance on complex datasets that may not translate into business gains quickly. The position involves advanced SQL, Python or R, and statistical testing, with a focus on translating insights into actionable improvements.
Senior Consultant Business Insights (m/w/d)
@ deloitte
DE | 2025-12-24
Deloitte seeks a Senior Consultant for their M&A advisory team, marrying financial acumen with data analytics—a peculiar partnership given the industry's traditional aversion to data overload. As...
read more »
Senior Consultant Business Insights (m/w/d)
deloitte
(DE) FULL TIME | JOB LISTED
Deloitte seeks a Senior Consultant for their M&A advisory team, marrying financial acumen with data analytics—a peculiar partnership given the industry's traditional aversion to data overload. As you decipher vast data sets and communicate insights to stakeholders, expect to flex your programming muscles in languages like R, Python, and SQL, alongside Business Intelligence tools such as Power BI. However, while this role might promise a whimsical career journey through 'best-in-class' training and flexible work arrangements, it fails to address the classic pitfalls of consulting: relentless hours and the palpable absence of work-life balance. If you're keen on navigating a sea of financial intricacies with a sprinkle of data, this could be your chance. Otherwise, consider if Deloitte's well-touted corporate values are merely a smokescreen for the consultancy grind.
Delivery Hero is hiring a Staff Product Analyst for the Consumer Product Analytics team to shape the global consumer experience across FoodPanda, Glovo and peers. You'll act as a strategic data...
read more »
Delivery Hero is hiring a Staff Product Analyst for the Consumer Product Analytics team to shape the global consumer experience across FoodPanda, Glovo and peers. You'll act as a strategic data partner, own product metrics and OKRs, design advanced experiments, and build scalable ETL plus self-serve dashboards. Expect end-to-end work on large-scale user data, from data integrity to primary insights and roadmap influence. Requirements are brutal: 9+ years in product analytics, SQL and Python, BigQuery, measurement of A/B and multi-variate experiments, and clear stakeholder influence. Nice-to-haves: Airflow, DBT, recommender systems. What stands out: senior scope, cross-brand impact, and a platform-wide experimentation ethos; what's risky: the role's breadth can dilute accountability and pressure is high in a fast-moving, public company. Berlin hybrid with strong benefits.
The role emphasizes collaboration, innovation, and technical excellence, with a focus on data-driven solutions and process optimization. It requires a strong background in business intelligence,...
read more »
The role emphasizes collaboration, innovation, and technical excellence, with a focus on data-driven solutions and process optimization. It requires a strong background in business intelligence, data modeling, and SQL, alongside a keen ability to analyze and solve complex problems. The position highlights the importance of cross-functional teamwork and the value of diverse perspectives, but lacks explicit salary details and does not clearly define the role’s scope or challenges. The company’s culture is described as collaborative and inclusive, but the description is vague on the technical depth and specific responsibilities, making it difficult to assess the role’s practical value and the skills it demands.
Senior Consultant (w/m/d) Business Data Cloud & Insights
sap
(DE) FULL TIME | JOB LISTED
SAP seeks a data analytics consultant to advise on the SAP Data & Analytics Portfolio, with focus on SAP Business Data Cloud, SAP Datasphere, SAP HANA Cloud, Data Warehousing, AI, SAP Analytics Cloud, and SAP BTP. Your remit: design system/IT landscapes and data architectures aligned to client strategy, integrate non-SAP solutions, and support account teams in evaluation and sales. It promises a culture of learning, a young Hamburg-Berlin team, and real responsibility; travel up to 80% is on the table. The upside is exposure to a coherent cloud analytics stack and cross-functional client delivery; the downside is a steep SAP-specialist bar, vendor-lock risk, and the constant tension between consulting sales and credible implementation. If you crave edge-case SAP projects and a visible impact, this role has the skeleton for it, not the glow.
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.
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.
Senior Consultant (w/m/d) Business Data Cloud & Insights
sap
(DE) FULL TIME | JOB LISTED
SAP’s Analytics & Insight role reads like a straight line: advise clients on evaluating and implementing the SAP Data & Analytics portfolio, with possible focus on SAP Business Data Cloud, Datasphere, HANA Cloud, Data Warehousing, AI, SAP Analytics Cloud, and SAP BTP, while stitching in non-SAP solutions and supporting sales. It promises constant learning, team growth, and generous benefits, but it’s a consultancy-heavy, SAP-centric track that rewards deep platform pedigree over generic cloud chops. Expect 5+ years in SAP analytics, proficiency in at least two flagship analytics solutions, and coding fluency in ABAP, Java, JavaScript, Python, R, or SQL. Berlin/Hamburg growth, German language fluency, and a Can Do culture are non-negotiables. The market angle? a solid moat for SAP pros, with limited transferability to broader data engineering roles outside SAP’s orbit.
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.
Docmetric markets itself as the future of e-health and hires a Data Analyst to clean, enrich, and normalize health data in Python, with dashboards and reports translating stakeholder needs into data reality. You’ll wrestle with structured and unstructured healthcare data from a mosaic of sources, optimize data quality, and help build internal data stores. Expect 3+ years in data analytics, a Python/Pandas/SQL backbone, and a belt of NoSQL flavor via Elasticsearch or similar, with PowerBI as the reporting face. The role reads like a bridge between healthcare and digital transformation, but beware the hype: a Start-Up vibe inside a corporate chassis can be opaque on career progression and governance, and the legal/privacy guard rails around patient data in Germany/GDPR will chew time if you don’t budget it. Still, a mission-driven, technically broad role in a crisis-resilient market is rare.
Fever's Growth Senior Analyst positions you at the data-to-growth hinge of a culture and live-entertainment platform that claims 300 million monthly users across 40 countries. You own a pipeline of cross-market projects, designing end-to-end solutions and translating analytics into strategy for growth across departments. The role demands strong SQL, Python or R, and fluent business storytelling, with the patience to influence multiple stakeholders in an international, fast-moving environment. Autonomy comes with a burden: heavy prioritization, ambiguous data, and the need to prove impact beyond buzzwords. Fever markets its partnerships with Netflix and Primavera Sound as proof of scale, but real value will be measured by implemented insights and revenue lift, not glossy decks. Madrid-based, English required, Spanish a plus; solid perks and a healthy dose of pragmatism.
Flink seeks a Dispatching Intelligence Analyst to improve operational efficiency through data analysis, modeling, and collaboration with product, engineering, and business teams. The role’s differentiator is the opportunity to impact core logistics systems, but there's a risk of over-reliance on complex datasets that may not translate into business gains quickly. The position involves advanced SQL, Python or R, and statistical testing, with a focus on translating insights into actionable improvements.
Senior Consultant Business Insights (m/w/d)
deloitte
(DE) FULL TIME | JOB LISTED
Deloitte seeks a Senior Consultant for their M&A advisory team, marrying financial acumen with data analytics—a peculiar partnership given the industry's traditional aversion to data overload. As you decipher vast data sets and communicate insights to stakeholders, expect to flex your programming muscles in languages like R, Python, and SQL, alongside Business Intelligence tools such as Power BI. However, while this role might promise a whimsical career journey through 'best-in-class' training and flexible work arrangements, it fails to address the classic pitfalls of consulting: relentless hours and the palpable absence of work-life balance. If you're keen on navigating a sea of financial intricacies with a sprinkle of data, this could be your chance. Otherwise, consider if Deloitte's well-touted corporate values are merely a smokescreen for the consultancy grind.
Delivery Hero is hiring a Staff Product Analyst for the Consumer Product Analytics team to shape the global consumer experience across FoodPanda, Glovo and peers. You'll act as a strategic data partner, own product metrics and OKRs, design advanced experiments, and build scalable ETL plus self-serve dashboards. Expect end-to-end work on large-scale user data, from data integrity to primary insights and roadmap influence. Requirements are brutal: 9+ years in product analytics, SQL and Python, BigQuery, measurement of A/B and multi-variate experiments, and clear stakeholder influence. Nice-to-haves: Airflow, DBT, recommender systems. What stands out: senior scope, cross-brand impact, and a platform-wide experimentation ethos; what's risky: the role's breadth can dilute accountability and pressure is high in a fast-moving, public company. Berlin hybrid with strong benefits.
The role emphasizes collaboration, innovation, and technical excellence, with a focus on data-driven solutions and process optimization. It requires a strong background in business intelligence, data modeling, and SQL, alongside a keen ability to analyze and solve complex problems. The position highlights the importance of cross-functional teamwork and the value of diverse perspectives, but lacks explicit salary details and does not clearly define the role’s scope or challenges. The company’s culture is described as collaborative and inclusive, but the description is vague on the technical depth and specific responsibilities, making it difficult to assess the role’s practical value and the skills it demands.
