Job Title: Senior Data Analyst

Key Skills: SQL, Snowflake, Data Analysis, Excel, Google Sheets, Tableau, Power BI, Looker, Data Visualization, Data Quality, AI/ML Tools

Experience: +5 YOE.

Location:  Costa Rica

Mode: Remote

We at Coforge are hiring Position (#21027) with the following skill set. 

Key Responsibilities 

• Analyze large and complex datasets to generate actionable business insights.
  
• Develop and optimize advanced SQL queries, joins, and data transformations.
  
• Work with cloud data warehouses such as Snowflake to manage and process data efficiently.
  
• Create dashboards and reports using data visualization tools like Tableau, Power BI, or Looker.
  
• Collaborate with cross-functional teams and stakeholders to understand business requirements and translate them into analytical solutions.
  
• Utilize AI or machine learning tools to enhance data analysis and identify trends or patterns.
  

Required Skills & Qualifications 

• Advanced proficiency in SQL, including complex queries, joins, and data transformations.
• Hands-on experience with Snowflake or similar cloud data warehouse platforms.
• Strong experience with pivot tables and data analysis using Excel or Google Sheets.
• Experience troubleshooting and resolving data quality and integrity issues.
• Knowledge of AI or machine learning tools for large-scale data analysis.
• Proficiency with data visualization tools such as Tableau, Power BI, or Looker.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and presentation skills.
• Bachelor’s degree in Data Analytics, Computer Science, Statistics, or related fields (or equivalent experience).

Preferred Skills: 

• Experience working in Agile environments.
  
• Familiarity with Python or R for data analysis.
  
• Knowledge of ETL/ELT processes and data pipelines.
  
• Experience working with business intelligence and reporting frameworks.
  
• Exposure to cloud platforms such as AWS, Azure, or GCP.

Posted On: 8-May-26 

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.  

Seeking to hire a Contractor based out of Mexico or Argentina for Lead Analytics Engineering Data Team

• We are looking for a Lead Analytics Engineer to join our data team.
• Reporting to the Hiring Manager, you will be responsible for applying data engineering best practices to analytics code to transform, test, and document data.
• You will provide clean and organized data sets to end users.
• You will be provide expert code reviews and mentorship to other engineers in the data space
• You will be responsible for building and maintaining composable data models, as well as optimizing SQL query performance for the models you build.
• You will transform raw data into business insights, working closely with stakeholders and developing analyses to answer critical business questions.
• You will create data visualizations and help stakeholders explore and understand the data visualization tools available to them.

Why you'll love this role:Data Modeling and Transformation

• Build new analyses and support existing ones using SQL and Python.
• Apply software engineering principles like version control and continuous integration to the analytics codebase.
• Expand our data warehouse with clean data ready for analysis.

Data Quality and Testing

• Apply advanced data testing strategies to ensure resulting datastores are aligned with expected business logic.
• Implement validation checks and automated testing procedures to manage data quality in your ETL/ELT pipelines.

Collaboration and Communication

• Work with stakeholders to define business logic and data expectations.
• Help drive a change in the usage of data by actively surfacing insights to stakeholders.
• Lead initiatives and problem definition, scoping, design, and planning.

Infrastructure and Automation

• Build tools and automation to run data infrastructure.
• Manage large-scale data migrations in relational datastores.

Why you're a great fit:

• 8+ Years experience working with data in a software environment. 
• Required Skills: Mastered proficiency in SQL and Python; advanced experience managing business semantic layer tooling, data catalog tooling and  data integrity testing frameworks. Experience with dbt orchestration and best practices.
• You have a track record of working autonomously and proactively, with deep domain knowledge of data systems.
• Required Tech Stack: SQL, Python, relational datastores, DAG tooling (like Dagster or Airflow), dbt and Tableau.
• Experience with cloud-based infrastructure (AWS, GCP, Terraform) and document, graph, or schema-less datastores.

Please note that given the nature of the contract, this role will not be eligible to participate in company-sponsored benefits

About Newsela:

Newsela is a leading education technology company dedicated to meaningful classroom learning for every student. We deliver integrated, AI-powered solutions designed to unlock student engagement, empower teachers, and drive meaningful learning outcomes. Our suite of products supports knowledge and skill development, writing practice, daily instruction, assessment, and data-informed decision-making across K–12 classrooms. Grounded in learning science research, Newsela’s solutions integrate content, assessment, and analytics to help educators track progress, understand student outcomes, and deliver high-impact instruction that supports every learner.

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About the Role 

We’re looking for an ML/AI Ops Engineer with 7+ years of experience to own the end-to-end operationalization of our ML/AI solutions, ensuring models move smoothly from development to scalable, reliable production products. In this role, you’ll design and automate CI/CD pipelines, build and optimize model lifecycle workflows, monitor deployed models for performance, drift, and reliability, and integrate intelligence products into various digital tools such as Copilot, Salesforce, and Tableau. You’ll collaborate closely with Data Scientists, Data Engineers, and Data Architects to transform high-quality research models into robust, production-grade products. This is a key role in shaping a modern ML/AI lifecycle—from CI/CD to high governance. 

What You’ll Do 

• Own the end-to-end operationalization of ML and AI solutions—from development to scalable, reliable production systemsthat integrateseamlessly with other digital tools. 
  • Design, automate, and maintain CI/CD pipelines for model training, testing, deployment, and retraining (Azure DevOps, Databricks). 
  • Build, optimize, and version model lifecycle workflows, ensuring reproducibility, lineage, and governance across the ML/AI platform. 
  • Monitor production models for performance, drift, reliability, and resource usage; implement automated retraining workflows. 
  • Optimize compute, storage, and orchestration across the Databricks platform to ensure efficient, cost-effective operations. 
  • Collaborate closely with ML/AI Scientists, Data Engineers, and DWH team to transform research-grade models into production-ready services. 
  • Contribute to advancing our ML/AI platform, tooling, automation standards, and best practices. 

What You’ll Bring 

• Solid experience in operationalizing ML/AI models, including deployment, automation, monitoring, and lifecycle management.
• Strong programming skills in Python,PySpark, and SQL with clean, efficient, production-ready code.
• Experienced in feature engineering with a practical understanding of data engineering fundamentals - designing, validating, and optimizing feature pipelines, and ensuring feature consistency
• Experience in building Vector embeddings & RAG systems.
• Familiarity in ML and LLM models development and libraries used.
• Experience with MLflow (or similar tools) for model tracking, registry management, and lifecycle operations.
• Familiarity with CI/CD pipelines (Azure DevOps preferred)
• Strong grasp of data versioning, model versioning, reproducibility, and data lineage within governed ML/AI environments.
• Experience designing, consuming, or integrating REST APIs to expose ML/AI models as services and support real-time or near-real-time inference.
• Experience monitoring production models, identifying drift or performance issues, and implementing corrective workflows.
• A collaborative, systems-thinking mindset, working closely with ML/AI Scientists, Data Engineers, and Data Warehouse team. 

Bonus Skills 

• Understanding ofdata quality frameworks and how they integrate into ML pipelines.
• Comfort with infrastructure-as-code for provisioning and managing ML/AI platform components. 
• Working knowledge of Unix environments and general DevOps principles; exposure to Docker/Kubernetes is beneficial.
• Experience with real-time or near-real-time serving architectures, event-driven systems, or streaming-based inference.
• Experience with AI agent tools and MCP servers. 
• Strong interest in contributing to internal ML/AI platform evolution, including tooling, automation, standards, and best practices.

What You’ll Get 

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

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About the Role

We are looking for an Analytics Engineer to join our internal Data Management team and help power data-driven decision-making across the organization. In this role, you will design and maintain scalable data models, pipelines, and transformation processes that enable analytics, reporting, and data science initiatives. You will collaborate closely with analysts, data scientists, and engineering teams to ensure reliable, efficient, and well-structured data that supports business insights and strategic initiatives.

What You’ll Do

• Design scalable and reliable data marts and transformation processes that support analytics and reporting needs
• Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into efficient data solutions
• Develop optimized data models and schemas that enable efficient storage, retrieval, and analysis of large datasets
• Build ETL and ELT pipelines that transform raw data from multiple sources into structured datasets for analytics and reporting
• Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems
• Monitor data pipelines and systems to troubleshoot issues and identify opportunities for improvement
• Document data architectures, data flows, and processes to support transparency, collaboration, and maintainability

Technologies You’ll Work With

• SQL and relational databases
• Cloud platforms such as Azure, AWS, or GCP
• Programming languages such as Python, Java, or Scala
• Databricks and Spark
• Data warehouse technologies such as Postgres or Vertica
• ETL/ELT frameworks and data transformation tools

What You’ll Bring

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field, or equivalent practical experience
• Strong proficiency in SQL and experience working with databases and data warehouse systems
• Experience building data pipelines and data processes in a cloud environment such as Azure, AWS, or GCP
• Experience with at least one programming language such as Python, Java, or Scala
• Knowledge of ETL/ELT processes, data modeling, and data warehousing best practices
• Ability to collaborate with cross-functional teams including analysts, engineers, and business stakeholders
• Strong written and verbal English communication skills (B2 level or higher)

Bonus Skills

• Experience working with Databricks and Spark
• Experience with Azure cloud services
• Experience with Postgres or Vertica data warehouse technologies
• Experience working with Salesforce data
• Experience building datasets used in analytics or reporting tools

What You’ll Get

• Two weeks of paid vacation, 12 statutory holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Paid parental leave: 8 days for fathers, 122 days for birthing parents, 92 days for adoptive parents
• Medical, dental, and vision coverage fully funded through INS Premium for employees and dependents
• Mental health support, therapy sessions, and virtual care via our Employee Assistance Program
• Retirement and social security contributions through Costa Rica’s statutory programs
• Life insurance equal to 24x monthly salary, plus disability and funeral coverage
• Daily cafeteria subsidy
• Fertility, adoption, and surrogacy support, plus 24 paid volunteer hours through Veeam Cares
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: The position is based in San Jose, Costa Rica. If the applicant is permanently located outside of Costa Rica, Veeam reserves the right to decline the application. All applications must be submitted in English.

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