Job Title: Analytics Engineer
Key Skills: Data analytics, Business Intelligence, SQL, Snowflake, BigQuery
Location: Brazil
Mode: Remote
We at Coforge are hiring Analytics Engineer with the following skill set.
Key Responsibilities
- Transform raw data into trusted, business-ready datasets used by teams such as Sales, Marketing, Product, Engineering, Finance, and People.
- Design, build, and maintain scalable analytical models using SQL and dbt.
- Translate business requirements and definitions into clear technical data models.
- Partner with analysts and business stakeholders to understand reporting, analytics, and operational data needs.
- Work with Data Engineers to define source requirements, resolve data issues, and improve the usability of ingested data.
- Consolidate duplicated business logic into shared and reusable data models.
- Build automated tests and monitoring to improve data quality, accuracy, and reliability.
- Document datasets, business definitions, assumptions, ownership, and expected usage.
- Support the secure and appropriate handling of sensitive and personally identifiable information.
- Review code and contribute to standards for SQL style, testing, documentation, model design, and maintainability.
- Help improve the developer experience and delivery processes for analytics code.
- Investigate data inconsistencies and collaborate with the appropriate teams to resolve their underlying causes.
- Contribute to the evolution of our semantic layer, data governance, and enterprise data modeling practices.
Required Skills & Qualifications
- Experience in analytics engineering, data analytics, business intelligence, data engineering, or a related role.
- Strong SQL skills and experience building production analytical datasets.
- Experience translating business requirements into data models, metrics, or reporting solutions.
- Experience with dimensional modeling concepts such as fact and dimension tables, star schemas, data grain, and slowly changing dimensions.
- Experience working with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
- Experience with dbt or a similar SQL-based transformation framework.
- Familiarity with Git, pull requests, code review, and version-controlled development workflows.
- Experience with at least one business intelligence or visualization platform, such as Sigma, Tableau, Looker, Power BI, or Metabase.
- Understanding of data quality practices, including testing, validation, monitoring, and reconciliation.
- Ability to communicate effectively and work collaboratively with technical and business partners.
Preferred Skills:
- Experience with Snowflake, dbt, Airflow, and Python.
- Experience working with event-based, transactional, or operational datasets.
- Experience building or maintaining semantic layers, shared metrics, or governed analytical datasets.
- Familiarity with modern data ingestion tools such as Fivetran, Estuary, or similar platforms.
- Experience handling sensitive data, access controls, masking policies, or data governance requirements.
- Experience improving analytics development standards, CI/CD workflows, documentation, or data observability.
- Familiarity with tools such as Atlan, Sigma, Tableau, or similar data catalog and analytics platforms.
- Experience working in a complex organization with multiple source systems, business domains, and stakeholder groups.
Posted On: 27-07-2026
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.
Skills Required
- Experience in analytics engineering, data analytics, business intelligence, data engineering, or a related role.
- Strong SQL skills and experience building production analytical datasets.
- Experience translating business requirements into data models, metrics, or reporting solutions.
- Experience with dimensional modeling concepts (fact/dimension tables, star schemas, data grain, SCDs).
- Experience working with a cloud data warehouse such as Snowflake, BigQuery, or Redshift.
- Experience with dbt or a similar SQL-based transformation framework.
- Familiarity with Git, pull requests, code review, and version-controlled development workflows.
- Experience with at least one BI or visualization platform (Sigma, Tableau, Looker, Power BI, Metabase).
- Understanding of data quality practices, including testing, validation, monitoring, and reconciliation.
- Ability to communicate effectively and work collaboratively with technical and business partners.
- Experience with Snowflake, dbt, Airflow, and Python.
- Experience working with event-based, transactional, or operational datasets.
- Experience building or maintaining semantic layers, shared metrics, or governed analytical datasets.
- Familiarity with modern data ingestion tools such as Fivetran or Estuary.
- Experience handling sensitive data, access controls, masking policies, or data governance requirements.
- Experience improving analytics development standards, CI/CD workflows, documentation, or data observability.
- Familiarity with tools such as Atlan, Sigma, or Tableau (data catalog/analytics platforms).
- Experience working in a complex organization with multiple source systems and stakeholder groups.
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
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Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
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Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
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Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
