This role presents a unique opportunity for a data engineer to contribute to operational risk management in a fast-paced, cross-functional environment. The position requires expertise in real-time...
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This role presents a unique opportunity for a data engineer to contribute to operational risk management in a fast-paced, cross-functional environment. The position requires expertise in real-time data analysis, AI tooling, and risk assessment, with a focus on building robust, data-driven decision-making frameworks. While the role emphasizes collaboration with multiple teams and global operations, it lacks clear technical specifications for the tools and languages required, and the salary information is incomplete. The job highlights the importance of continuous improvement and operational resilience but does not clearly define the technical stack or skill set expected. The description is overly positive and lacks the critical, skeptical tone necessary for a technically oriented audience.
Bijenkorf’s Data Analyst role sits inside a broader Data & Analytics team responsible for the data platform and data‑driven decisioning. You’ll build dashboards and data products on BigQuery,...
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Bijenkorf’s Data Analyst role sits inside a broader Data & Analytics team responsible for the data platform and data‑driven decisioning. You’ll build dashboards and data products on BigQuery, partner with Supply Chain, Marketing and Customer Service, and train users to self‑serve. The role blends consultancy with hands‑on projects, translating requests into datasets or analyses and steering work toward self‑service analytics. Required tools cluster around SQL, Tableau, and data storytelling; nice‑to‑haves include BigQuery, DBT, Python, and Kimball‑style data modelling. The salary is a stated monthly €3,252–€4,646, with a performance bonus and profit sharing, plus 30 days holiday and standard benefits. It’s a solid, pragmatic retail analytics role with real platform exposure, but risk lies in stakeholder‑driven scope and potential plateau in data engineering depth.
Master Power BI fast: build basic-to-advanced visuals, apply smart design, use dynamic slicers/filters & new cards, choose the right chart, spotlight key insights, brand and theme reports, and seamlessly publish/share in the Service.
Despite the hype, this is a genuine data-optimisation post rather than a haloed career kiln. The Associate Analytics Manager will stitch together sales, margins, CRM, marketing, and external...
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Despite the hype, this is a genuine data-optimisation post rather than a haloed career kiln. The Associate Analytics Manager will stitch together sales, margins, CRM, marketing, and external datasets to rebuild commercial dashboards and customer performance reports across Direct and Indirect geographies. You will own customer insights, KPIs, and end-to-end reporting, translating data into action for sales, marketing, and customer engagement. The role demands 8+ years in analytics, Medtech or Pharma experience, and fluency in SQL, Excel, Power BI-style visualization, and familiarity with Salesforce and ERP systems. It promises regional impact and cross-functional influence, but risks remaining Excel-forward and governance-heavy unless you aggressively standardize data models and automate. In the market, it stands out for domain focus paired with leadership, though true modern analytics roles push for more scalable platforms.
This role is a challenging, high-impact opportunity for a data engineer with experience in Martech and CMS. The position requires technical leadership in designing and implementing customer...
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This role is a challenging, high-impact opportunity for a data engineer with experience in Martech and CMS. The position requires technical leadership in designing and implementing customer experience solutions, with a focus on integrating and optimizing content management systems and Martech stacks. The role demands a deep understanding of data platforms, marketing automation, and personalization, while also requiring strong collaboration and communication skills. While the job offers a dynamic environment and competitive compensation, it is not clearly defined in terms of salary range or contract type. The tools and technologies mentioned include Adobe, Salesforce, Optimizely, Sitecore, and a range of data and analytics platforms. The job is not an intermediary position, and the role is classified as a data engineer.
Foot Locker offers a 6-month internship for students in Business Analytics or Data Science, focusing on optimizing reporting dashboards with Power BI and Google Analytics. A key differentiator is...
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Foot Locker offers a 6-month internship for students in Business Analytics or Data Science, focusing on optimizing reporting dashboards with Power BI and Google Analytics. A key differentiator is the exposure to a collaborative sneaker culture environment. The primary risk is the limited scope of responsibilities, which may not provide comprehensive experience in data analysis. The internship includes a modest monthly allowance, and the role involves supporting data visualization, documentation, and cross-departmental communication within a team of 15.
A data analyst role focused on automating pricing strategies through machine learning models, involving Python and SQL skills, with the unique aspect of directly influencing prices for 13.7...
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A data analyst role focused on automating pricing strategies through machine learning models, involving Python and SQL skills, with the unique aspect of directly influencing prices for 13.7 million customers. The risk lies in the potential misalignment between models and practical impact, given the emphasis on rapid testing and stakeholder management.
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.
Bol's Avb Marketing Analytics seeks a Marketing Data Analyst to illuminate advertiser behavior, optimize campaigns, and build scalable data foundations for thousands of partners. The role centers...
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Bol's Avb Marketing Analytics seeks a Marketing Data Analyst to illuminate advertiser behavior, optimize campaigns, and build scalable data foundations for thousands of partners. The role centers on engagement at scale, robust data models, testing, governance and privacy compliance, with three focus areas: insights, data modeling, and performance attribution. The stack leans on SQL (BigQuery), Git, dbt, and dashboards (Tableau/Looker Studio), with Airflow as a plus and familiarity with marketing automation tools such as Selligent. It's as much about pragmatic delivery as elegant code—Clean Code, DRY and scalable pipelines matter. The biggest lure is scale: cross-functional collaboration with Marketing, Sales and Product, and real influence on outcomes rather than dashboards alone. Risks include ambiguity and rapid tech growth; opportunities to shape Bol's data-driven marketing at scale are real.
The role of Product Analytics Manager at Manychat is complex and demanding, requiring expertise in product analytics, data science, and team leadership. The candidate must manage a team of product...
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The role of Product Analytics Manager at Manychat is complex and demanding, requiring expertise in product analytics, data science, and team leadership. The candidate must manage a team of product analysts, align analytics with product and engineering strategies, and drive data-informed decisions across multiple product domains. The role involves both tactical and strategic thinking, with a focus on A/B testing, causal inference, and KPI development. The position demands deep technical knowledge of SQL, Python, and data infrastructure, as well as strong leadership and communication skills. While the role is highly specialized and requires significant experience, it lacks clarity regarding salary details and does not explicitly state the compensation range. The tools and technologies mentioned include SQL, Python, R, Git, and analytics frameworks like A/B testing and causal inference.
Manychat seeks a Senior Product Designer to craft its data experiences and insight dashboards, transforming complex datasets into user-friendly interfaces that guide creator growth. The role's...
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Manychat seeks a Senior Product Designer to craft its data experiences and insight dashboards, transforming complex datasets into user-friendly interfaces that guide creator growth. The role's differentiator is designing for both beginner and advanced users across multiple platforms, with a notable risk being the challenge of maintaining consistency amidst large and sparse data sets that could hamper dashboard reliability.
This role involves managing and delivering SAP Data & Analytics solutions, with a notable differentiator being the focus on SAP technologies like SAP Analytics Cloud and SAP Datasphere. A...
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This role involves managing and delivering SAP Data & Analytics solutions, with a notable differentiator being the focus on SAP technologies like SAP Analytics Cloud and SAP Datasphere. A potential risk is the dependency on ERP-specific expertise, reducing flexibility. The fixed salary range is explicitly provided as between €6.230,- and €8.850,- gross per month, including benefits.
Senior Product Manager, Monetization and Pricing | Assisted relocation to Barcelona
@ roverdotcom
NL | 2025-12-22
Rover seeks a Senior Product Manager to own alternative monetization and pricing in a two-day-a-week Barcelona hybrid role, steering marketplace economics with cross-functional teams. The position...
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Senior Product Manager, Monetization and Pricing | Assisted relocation to Barcelona
roverdotcom
(NL) FULL TIME | JOB LISTED
Rover seeks a Senior Product Manager to own alternative monetization and pricing in a two-day-a-week Barcelona hybrid role, steering marketplace economics with cross-functional teams. The position demands deep pricing discipline, data fluency (SQL, GA, Tableau, Periscope) and comfort with multivariate experiments to balance provider value and revenue growth. What stands out is the emphasis on cross-functional leadership across engineering, design, data, operations, and finance, plus a clear appetite for experimentation and MVP-driven execution. In practice, the risk is ambiguity: in a marketplace where supplier and customer incentives are fragile, you’ll be judged on elasticity tests and revenue metrics with limited salary transparency and a relocation hurdle. Rover’s brand and remote-first footprint elsewhere mitigate some risk, but this remains a function-heavy PM tilt rather than a pure product-data role. If you crave tangible monetization levers and rigorous iteration, this is your stage.
This role presents a unique opportunity for a data engineer to contribute to operational risk management in a fast-paced, cross-functional environment. The position requires expertise in real-time data analysis, AI tooling, and risk assessment, with a focus on building robust, data-driven decision-making frameworks. While the role emphasizes collaboration with multiple teams and global operations, it lacks clear technical specifications for the tools and languages required, and the salary information is incomplete. The job highlights the importance of continuous improvement and operational resilience but does not clearly define the technical stack or skill set expected. The description is overly positive and lacks the critical, skeptical tone necessary for a technically oriented audience.
Bijenkorf’s Data Analyst role sits inside a broader Data & Analytics team responsible for the data platform and data‑driven decisioning. You’ll build dashboards and data products on BigQuery, partner with Supply Chain, Marketing and Customer Service, and train users to self‑serve. The role blends consultancy with hands‑on projects, translating requests into datasets or analyses and steering work toward self‑service analytics. Required tools cluster around SQL, Tableau, and data storytelling; nice‑to‑haves include BigQuery, DBT, Python, and Kimball‑style data modelling. The salary is a stated monthly €3,252–€4,646, with a performance bonus and profit sharing, plus 30 days holiday and standard benefits. It’s a solid, pragmatic retail analytics role with real platform exposure, but risk lies in stakeholder‑driven scope and potential plateau in data engineering depth.
Despite the hype, this is a genuine data-optimisation post rather than a haloed career kiln. The Associate Analytics Manager will stitch together sales, margins, CRM, marketing, and external datasets to rebuild commercial dashboards and customer performance reports across Direct and Indirect geographies. You will own customer insights, KPIs, and end-to-end reporting, translating data into action for sales, marketing, and customer engagement. The role demands 8+ years in analytics, Medtech or Pharma experience, and fluency in SQL, Excel, Power BI-style visualization, and familiarity with Salesforce and ERP systems. It promises regional impact and cross-functional influence, but risks remaining Excel-forward and governance-heavy unless you aggressively standardize data models and automate. In the market, it stands out for domain focus paired with leadership, though true modern analytics roles push for more scalable platforms.
This role is a challenging, high-impact opportunity for a data engineer with experience in Martech and CMS. The position requires technical leadership in designing and implementing customer experience solutions, with a focus on integrating and optimizing content management systems and Martech stacks. The role demands a deep understanding of data platforms, marketing automation, and personalization, while also requiring strong collaboration and communication skills. While the job offers a dynamic environment and competitive compensation, it is not clearly defined in terms of salary range or contract type. The tools and technologies mentioned include Adobe, Salesforce, Optimizely, Sitecore, and a range of data and analytics platforms. The job is not an intermediary position, and the role is classified as a data engineer.
Foot Locker offers a 6-month internship for students in Business Analytics or Data Science, focusing on optimizing reporting dashboards with Power BI and Google Analytics. A key differentiator is the exposure to a collaborative sneaker culture environment. The primary risk is the limited scope of responsibilities, which may not provide comprehensive experience in data analysis. The internship includes a modest monthly allowance, and the role involves supporting data visualization, documentation, and cross-departmental communication within a team of 15.
A data analyst role focused on automating pricing strategies through machine learning models, involving Python and SQL skills, with the unique aspect of directly influencing prices for 13.7 million customers. The risk lies in the potential misalignment between models and practical impact, given the emphasis on rapid testing and stakeholder management.
Bol's Avb Marketing Analytics seeks a Marketing Data Analyst to illuminate advertiser behavior, optimize campaigns, and build scalable data foundations for thousands of partners. The role centers on engagement at scale, robust data models, testing, governance and privacy compliance, with three focus areas: insights, data modeling, and performance attribution. The stack leans on SQL (BigQuery), Git, dbt, and dashboards (Tableau/Looker Studio), with Airflow as a plus and familiarity with marketing automation tools such as Selligent. It's as much about pragmatic delivery as elegant code—Clean Code, DRY and scalable pipelines matter. The biggest lure is scale: cross-functional collaboration with Marketing, Sales and Product, and real influence on outcomes rather than dashboards alone. Risks include ambiguity and rapid tech growth; opportunities to shape Bol's data-driven marketing at scale are real.
The role of Product Analytics Manager at Manychat is complex and demanding, requiring expertise in product analytics, data science, and team leadership. The candidate must manage a team of product analysts, align analytics with product and engineering strategies, and drive data-informed decisions across multiple product domains. The role involves both tactical and strategic thinking, with a focus on A/B testing, causal inference, and KPI development. The position demands deep technical knowledge of SQL, Python, and data infrastructure, as well as strong leadership and communication skills. While the role is highly specialized and requires significant experience, it lacks clarity regarding salary details and does not explicitly state the compensation range. The tools and technologies mentioned include SQL, Python, R, Git, and analytics frameworks like A/B testing and causal inference.
Manychat seeks a Senior Product Designer to craft its data experiences and insight dashboards, transforming complex datasets into user-friendly interfaces that guide creator growth. The role's differentiator is designing for both beginner and advanced users across multiple platforms, with a notable risk being the challenge of maintaining consistency amidst large and sparse data sets that could hamper dashboard reliability.
This role involves managing and delivering SAP Data & Analytics solutions, with a notable differentiator being the focus on SAP technologies like SAP Analytics Cloud and SAP Datasphere. A potential risk is the dependency on ERP-specific expertise, reducing flexibility. The fixed salary range is explicitly provided as between €6.230,- and €8.850,- gross per month, including benefits.
Senior Product Manager, Monetization and Pricing | Assisted relocation to Barcelona
roverdotcom
(NL) FULL TIME | JOB LISTED
Rover seeks a Senior Product Manager to own alternative monetization and pricing in a two-day-a-week Barcelona hybrid role, steering marketplace economics with cross-functional teams. The position demands deep pricing discipline, data fluency (SQL, GA, Tableau, Periscope) and comfort with multivariate experiments to balance provider value and revenue growth. What stands out is the emphasis on cross-functional leadership across engineering, design, data, operations, and finance, plus a clear appetite for experimentation and MVP-driven execution. In practice, the risk is ambiguity: in a marketplace where supplier and customer incentives are fragile, you’ll be judged on elasticity tests and revenue metrics with limited salary transparency and a relocation hurdle. Rover’s brand and remote-first footprint elsewhere mitigate some risk, but this remains a function-heavy PM tilt rather than a pure product-data role. If you crave tangible monetization levers and rigorous iteration, this is your stage.
