We are looking for a Data Analyst / Power BI Developer with strong experience in designing, developing, and maintaining business dashboards and reports using Power BI .
The successful candidate will join an Agile squad and play a key role in transforming business requirements into data-driven reporting solutions that support decision-making across the organization.The professional will work closely with business stakeholders, taking ownership of assigned user stories, building reports and dashboards, validating data quality, and supporting end users during the final validation process.Key ResponsibilitiesAnalyze business and technical requirements from assigned user stories.Design, develop, and maintain interactive dashboards and reports using Power BI.Create and optimize data models, measures, and visualizations.Validate data quality, consistency, and accuracy across reporting solutions.Troubleshoot and investigate data-related issues.Collaborate with business users and technical teams to ensure reporting requirements are met.Support end users during User Acceptance Testing (UAT) and final data validation activities.Participate actively in Agile ceremonies, including Sprint Planning, Daily Stand-ups, Reviews, and Retrospectives.Document reporting solutions, business rules, and technical developments.Job DescriptionAbout the RoleWe are looking for a Data Analyst / Power BI Developer with strong experience in designing, developing, and maintaining business dashboards and reports using Power BI .
The successful candidate will join an Agile squad and play a key role in transforming business requirements into data-driven reporting solutions that support decision-making across the organization.The professional will work closely with business stakeholders, taking ownership of assigned user stories, building reports and dashboards, validating data quality, and supporting end users during the final validation process.Key ResponsibilitiesAnalyze business and technical requirements from assigned user stories.Design, develop, and maintain interactive dashboards and reports using Power BI.Create and optimize data models, measures, and visualizations.Validate data quality, consistency, and accuracy across reporting solutions.Troubleshoot and investigate data-related issues.Collaborate with business users and technical teams to ensure reporting requirements are met.Support end users during User Acceptance Testing (UAT) and final data validation activities.Participate actively in Agile ceremonies, including Sprint Planning, Daily Stand-ups, Reviews, and Retrospectives.Document reporting solutions, business rules, and technical developments.QualificationsMinimum 4 years of hands‐on experience with Power BI.Experience building enterprise-level dashboards and reports.Strong data analysis and data validation skills.Experience working within Agile/Scrum environments.Intermediate knowledge of PL/SQL .
Ability to understand business requirements and translate them into reporting solutions.Experience interacting with business stakeholders and supporting final report validation.Additional InformationWhat do we offer you?
B2B or employmentcontractRemote within CET Time zone.Possibility to be part of a multicultural team and work on international projects.If you are passionate about data, development & tech, we want to meet you !
Talan Spain's commitment to non-discrimination based on gender, race, ideology, or any other reason, in accordance with the company's "Equality Plan" and the current regulations on gender equality between women and men (Royal Decree-Law ******).
Prometeo Talent is a recruitment agency with a strong presence across the Americas and Europe.
We specialize in connecting companies with exceptional tech and engineering professionals.We have partnered with a U.S.-based company that specializes in marketing effectiveness measurement across various channels.
They are an independent company fully dedicated to helping organizations understand consumer behavior, purchasing trends, and market performance through data-driven insights.We are looking for a Data Analyst to join our client's general team.
This role is open to both recent graduates and early-career professionals who are passionate about working with data.
The position focuses on querying, transforming, and analyzing large-scale consumer and retail datasets to generate actionable insights for clients and internal stakeholders.Data AnalystAbout UsPrometeo Talent is a recruitment agency with a strong presence across the Americas and Europe.
We specialize in connecting companies with exceptional tech and engineering professionals.We have partnered with a U.S.-based company that specializes in marketing effectiveness measurement across various channels.
They are an independent company fully dedicated to helping organizations understand consumer behavior, purchasing trends, and market performance through data-driven insights.We are looking for a Data Analyst to join our client's global team.
This role is open to both recent graduates and early-career professionals who are passionate about working with data.
The position focuses on querying, transforming, and analyzing large-scale consumer and retail datasets to generate actionable insights for clients and internal stakeholders.What You Will DoExtract, query, and manipulate data using SQL from relational databases and cloud data warehouses.Analyze large transactional and consumer datasets to identify trends, patterns, and business insights.Build and maintain structured datasets that support recurring reports and business analyses.Calculate key business metrics such as household penetration, market share, purchasing behavior, and category trends.Work with raw and semi-structured data, cleaning and categorizing information as needed.Validate data outputs and perform quality checks to ensure data accuracy and integrity.Collaborate with internal teams to support reporting needs and answer business questions through data.Translate complex datasets into clear findings and recommendations.Requirements0–4 years of experience in Data Analytics, Reporting, Business Intelligence, or similar analytical roles.Advanced English level (written and spoken).
Strong SQL skills, including joins, filtering, aggregations, GROUP BY statements, and conditional logic.Understanding of relational databases, table relationships, and data structures.Experience working with large datasets and performing data validation.Ability to identify trends, anomalies, and meaningful business insights from data.
Bachelor's degree in Business Analytics, Statistics, Mathematics, Computer Science, Economics, Marketing, Engineering, or a related quantitative field.Nice to HaveExperience with Common Table Expressions (CTEs), subqueries, or window functions.Experience working with consumer, retail, panel, transactional, or market research datasets.Familiarity with data visualization tools such as Power BI, Looker, Tableau, or similar.Experience with text data cleaning, categorization, or string manipulation techniques.Basic knowledge of Python for data manipulation and analysis.What's Offered10 days of PTO to recharge wherever you choose.Enjoy USA Holidays.100% remote work—design the work-life balance that fits you best.Work with large-scale consumer and retail datasets that drive real business decisions.Collaborate with a global,



multidisciplinary team.Develop your SQL, analytics, and business intelligence skills while working on impactful projects.Cordoba, ArgentinaFull timeR*****Proofpoint is a global leader in human- and agent-centric cybersecurity.
We protect how people, data, and AI agents connect across email, cloud, and collaboration tools.
Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows.
Our mission is simple: safeguard the digital world and empower people to work securely and confidently.
Join us in our pursuit to defend data and protect people.At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: Bold in how we dream and innovate Responsive to feedback, challenges and opportunities Accountable for results and best in class outcomes Visionary in future focused problem-solving Exceptional in execution and impactProofpoint is looking for a Staff Data Engineer to join our growing Data Platform team.
In this senior individual-contributor role you will design, build, and operate the large-scale data infrastructure that underpins Proofpoint's cybersecurity products and analytics.
You will work across the full data lifecycle-ingestion, transformation, orchestration, and delivery-using modern cloud-native tooling on AWS.
You'll partner with data scientists, product engineers, and business stakeholders to turn raw data into reliable, governed, and performant data assets that drive product decisions and customer value.What You'll DoDesign and implement scalable, reliable data pipelines using AWS Glue (PySpark and Glue Studio) to ingest and transform petabyte-scale datasets stored in Amazon S3.Build and maintain our cloud data lake architecture on S3-defining partition strategies, file formats (Parquet, ORC, Delta), and data-catalog schemas in AWS Glue Data Catalog.Establish and enforce data quality standards-implement validation frameworks, anomaly detection, and SLA-driven alerting to ensure data reliability.Define and drive engineering best practices: code reviews, CI/CD for data pipelines, Infrastructure-as-Code (Terraform/CDK), and DataOps principles.Serve as a technical leader and mentor-conduct design reviews, guide junior engineers, and influence the team's technical roadmap.Collaborate closely with data scientists, ML engineers, and product managers to translate business requirements into robust data models and pipeline specifications.Champion data governance, lineage tracking, and privacy-by-design principles across all data assets.Troubleshoot and resolve production incidents, perform root-cause analysis, and drive preventive improvements.Contribute to architecture decision records (ADRs) and technical documentation.What You Bring to the TeamRequired8+ years of professional software or data engineering experience, with at least 4 years focused on cloud data platforms.Deep expertise with AWS data services: S3 (lifecycle policies, event notifications, encryption), AWS Glue (ETL jobs, Crawlers, Data Catalog, Glue Studio), and Amazon Athena (query optimization, workgroups, federated queries).
Strong Python programming skills; proficiency writing production-grade PySpark or Spark (Scala) for large-scale data transformation.Solid SQL fundamentals-ability to write and tune complex analytical queries.Excellent communication skills-able to present technical trade-offs clearly to both engineering and non-engineering stakeholders.Proven experience mentoring engineers and leading technical design discussions.Bachelor's degree in Computer Science, Engineering, or a related technical field (or equivalent practical experience).
Nice to HaveExperience with real-time / streaming data processing using Apache Kafka, Amazon Kinesis, and AWS Glue Streaming ETL.Familiarity with AWS Lake Formation for fine-grained access control and data governance.Knowledge of Amazon Redshift or other cloud data warehouses.Experience with data quality frameworks (Great Expectations, Deequ, or similar).
Background in cybersecurity, threat intelligence, or security analytics data.AWS Certified Data Engineer - Associate or AWS Certified Solutions Architect certification.Contributions to open-source data engineering projects or publications.Why Proofpoint?
At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package.
Here are just a few reasons you'll love working with us:Competitive compensationComprehensive benefitsCareer success on your termsFlexible work environmentAnnual wellness and community outreach daysAlways on recognition for your contributionsGlobal collaboration and networking opportunitiesOur Culture:Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.We encourage applications from individuals of all backgrounds, experiences, and perspectives.
If you need accommodation during the application or interview process, please reach out to .
Cordoba, ArgentinaFull timeR*****Proofpoint is a global leader in human- and agent-centric cybersecurity.
We protect how people, data, and AI agents connect across email, cloud, and collaboration tools.
Over 80 of the Fortune 100, 10,000 large enterprises, and millions of smaller organizations trust Proofpoint to stop threats, prevent data loss, and build resilience across their people and AI workflows.
Our mission is simple: safeguard the digital world and empower people to work securely and confidently.
Join us in our pursuit to defend data and protect people.At Proofpoint you'll be part of a global team that breaks barriers to redefine cybersecurity guided by our BRAVE core values: Bold in how we dream and innovate Responsive to feedback, challenges and opportunities Accountable for results and best in class outcomes Visionary in future focused problem-solving Exceptional in execution and impactProofpoint is seeking a DevOps and Data Engineer to join our Data Platform team.
This is a hybrid role that sits at the intersection of platform engineering and data infrastructure-you will own the reliability, automation, and delivery of the systems that power Proofpoint's data pipelines and analytics capabilities.
You will build and maintain the cloud infrastructure (AWS-first), CI/CD pipelines, and DevOps tooling that enable data engineering teams to ship high-quality data products faster and more safely.
At the same time, you will actively contribute to the design and operation of data pipelines using AWS Glue, Athena, and S3, bringing a strong operational mindset to data engineering.
If you thrive at the boundary between platform and data, love automating toil, and care deeply about reliability and developer experience, this role is for you.What You'll DoImplement, and maintain CI/CD pipelines (GitHub Actions, Jenkins, or equivalent) for automated testing,



deployment, and promotion of AWS Glue ETL jobs, Athena views, and related data infrastructure.Build and manage cloud infrastructure on AWS using Infrastructure-as-Code (Terraform and/or AWS CDK)-covering S3 buckets, IAM roles, Glue resources, Athena workgroups, Lake Formation permissions, VPCs, and supporting services.Own the observability stack for data pipelines: define and instrument metrics, logs, and alerts (CloudWatch, Datadog, or equivalent) to ensure SLA compliance and fast incident response.Manage container and compute infrastructure (Docker, ECS/EKS, or Lambda) used to support data ingestion microservices and orchestration workers.Build and maintain AWS Glue ETL jobs (PySpark) for large-scale data ingestion and transformation across the data lake on S3.Collaborate closely with data engineers, data scientists, and security teams to translate requirements into scalable, automated infrastructure solutions.What You Bring to the TeamRequired2+ years of professional experience in DevOps, platform engineering, or site reliability engineering, with at least 2 years of hands‐on data engineering work.Expertise with AWS core services: S3, IAM, VPC, CloudWatch, Lambda, ECS/EKS, Secrets Manager, and CloudFormation/CDK.Hands‐on experience with AWS data services: Glue (ETL jobs, Crawlers, Data Catalog), Athena (workgroup management, query tuning, federated queries), and S3 (lifecycle, encryption, event notifications).
Proficiency with Infrastructure-as-Code tools-Terraform and/or AWS CDK-for managing production cloud environments.Strong CI/CD experience: designing and maintaining pipelines in GitHub Actions, Jenkins, GitLab CI, or equivalent.Experience with container technologies (Docker) and container orchestration (Amazon ECS, EKS, or Kubernetes).
Nice to HaveKnowledge of data quality frameworks (Great Expectations, Deequ, or similar).
Familiarity with AWS Lake Formation for fine‐grained access control and data governance.Experience with real‐time streaming data processing using Apache Kafka, Amazon Kinesis, and AWS Glue Streaming ETL.Familiarity with AWS Lake Formation for fine‐grained access control and data governance.AWS Certified Data Engineer - Associate or AWS Certified Solutions Architect certification.Contributions to open-source data engineering projects or publications.Why Proofpoint?
At Proofpoint, we believe that an exceptional career experience includes a comprehensive compensation and benefits package.
Here are just a few reasons you'll love working with us:Competitive compensationComprehensive benefitsCareer success on your termsFlexible work environmentAnnual wellness and community outreach daysAlways on recognition for your contributionsGlobal collaboration and networking opportunitiesOur Culture:Our culture is rooted in values that inspire belonging, empower purpose and drive success-every day, for everyone.We encourage applications from individuals of all backgrounds, experiences, and perspectives.
If you need accommodation during the application or interview process, please reach out to .
Interview Process:Application Review (resume + a few questions)Screening Call with Atomic HRHiring Team Interview (walkthrough of a pipeline or data model you've built)Technical Assessment (a real‐world data engineering case study)Final Interview with company leadershipData Analyst with GA4 and GTM experience | Remote for Marketing Agency for EducationData Analyst with GA4 and GTM experience | Remote for Marketing Agency for EducationOur client is a fast‐growing performance marketing agency specializing in mission‐driven organizations across higher education and nonprofit sectors.
Since launching in ****, the agency has built a strong reputation for combining strategic thinking, creative execution, and data‐driven marketing to help universities and organizations achieve measurable growth.Company Overview:Our client is a fast‐growing performance marketing agency specializing in mission‐driven organizations across higher education and nonprofit sectors.
Since launching in ****, the agency has built a strong reputation for combining strategic thinking, creative execution, and data‐driven marketing to help universities and organizations achieve measurable growth.Your Role:The Web Analyst is a key member of the agency's Data and Analytics team, owning the web analytics and pixel deployment architecture that everything downstream depends on.
You'll implement tracking via Google Tag Manager, troubleshoot setup issues across every paid ad platform the agency runs, and make sure data collection from client websites is airtight, from the first click through to CRM entry.
Reporting to the Data and Analytics Manager, you're joining at a pivotal moment — the agency is scaling its roster of education and nonprofit partners, and this role is instrumental in evolving the tracking workflow that keeps every campaign measurable and every report trustworthy.You'll:Own tag management & deployment — deploy, configure, and maintain pixels, tags, and scripts in Google Tag Manager (native templates and Custom HTML); build and maintain data layers with the Web Services team; manage GTM container structure, triggers, and variables across a multi-client environment; implement server‐side tagging where it improves measurement accuracy and durabilityOwn conversion tracking & platform integration — connect website activity to paid ad platforms (Meta, Google Ads, TikTok, LinkedIn, Snapchat) using both browser pixels and Conversion APIs (CAPI); configure standard and custom events (leads, applications, inquiries) for accurate reporting and platform optimization; configure and maintain event tracking and key events in GA4 from ad click through form submission and CRM entry; partner with Paid Media and Web Services so every campaign and landing page launches with tracking implemented and verifiedOwn QA, debugging & data integrity — audit and debug broken tags, dropped events, and data discrepancies across client websites; troubleshoot mismatches between ad platforms, GA4, and CRM to root cause; run routine tag health audits across the portfolio; verify events in platform Events Managers and GA4 DebugView before any campaign goes liveOwn data privacy compliance — manage cookie consent banners and consent mode configuration across client sites; keep tracking implementations aligned with GDPR, CCPA, and other privacy regulations; monitor platform and browser changes that affect tracking durability and recommend adjustmentsSupport documentation & cross‐team enablement — maintain tagging plans, naming conventions, and QA checklists; translate business requirements from account and client teams into functional tracking solutions; document technical setups so internal teams can interpret and rely on the dataYou Bring:3+ years of hands‐on tracking or web analytics experience in a marketing or agency environmentIntermediate experience with GTM containers, trigger and variable creation, data layer implementation, and server‐side taggingPractical experience planning, deploying, and troubleshooting conversion tracking across major ad platforms, with working knowledge of pixel and Conversion API (CAPI) configuration for Meta, Google Ads, TikTok, and LinkedInHands‐on GA4 experience, including event configuration, key events, and DebugViewComfort with HTML, CSS selectors, and basic JavaScript for tag troubleshooting and custom script
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