Qureos Mentor

Brainlake

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 We're looking for a hands-on Data Quality Analyst to ensure the accuracy, consistency, and reliability of data presented through dashboards, reports, and digital applications.
 
 
 You'll play a key role in validating business-critical data before it reaches end users, ensuring reports, KPIs, and analytical outputs are accurate, reconciled, and aligned with approved business definitions. Working closely with analytics, BI, product, and engineering teams, you'll help maintain the quality and integrity of data that drives business decisions.
 
 
 
 Requirements
 
 
 
 
 What You'll Do
 
 
 
 ❏ Validate data displayed across dashboards, reports, web, and mobile applications
 
 
 ❏ Reconcile source data, transformed datasets, and final analytical outputs
 
 
 ❏ Verify KPIs, metrics, filters, aggregations, and calculation logic used in reports
 
 
 ❏ Ensure consistency of metrics across multiple dashboards and reporting platforms
 
 
 ❏ Validate business rules and ensure reported figures align with approved definitions
 
 
 ❏ Identify data discrepancies and investigate inconsistencies before release
 
 
 ❏ Support User Acceptance Testing (UAT) for dashboards, reports, chatbots, and other analytical products
 
 
 ❏ Act as the quality gate before dashboards and reports are released to end users
 
 
 ❏ Log, track, and support the resolution of data quality issues
 
 
 ❏ Work closely with BI developers, data engineers, and analytics teams to resolve reporting issues
 
 
 ❏ Maintain documentation for reconciliation rules, report logic, and validation processes
 
 
 ❏ Contribute to improving reporting standards, validation checklists, and quality practices
 
 
 
 You're Our Match If You Have
 
 
 
 ❏ 3-5 years of experience in Data Quality, Business Intelligence, Analytics, or Reporting Assurance
 
 
 ❏ Hands-on experience validating dashboards, reports, or business intelligence solutions
 
 
 ❏ Strong SQL skills for data validation, reconciliation, and comparison
 
 
 ❏ Experience working with Power BI, Tableau, or similar reporting platforms
 
 
 ❏ Strong understanding of KPIs, metrics, business rules, and calculation logic
 
 
 ❏ Experience working with enterprise data sources such as ERP, CRM, or HCM systems
 
 
 ❏ Excellent analytical skills with exceptional attention to detail
 
 
 ❏ Ability to communicate data issues clearly to both technical and business stakeholders
 
 
 ❏ Strong sense of ownership and commitment to data accuracy
 
 
 
 Bonus Points If You Have Experience With
 
 
 
 ❏ Validating analytics for web or mobile applications
 
 
 ❏ Government or enterprise reporting environments
 
 
 ❏ Data governance, reporting standards, or data quality frameworks
 
 
 ❏ Supporting executive-level reporting
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Data Quality Analyst

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 We're looking for an experienced
 
 Senior Data Scientist
 
 to design and deliver data-driven solutions that solve complex business problems and create measurable impact.
 
 
 Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions. From defining use cases to deploying production-ready models, you'll play a key role in delivering innovative AI solutions that drive better decision-making and customer outcomes.
 
 
 
 Requirements
 
 
 
 
 What You'll Do
 
 
 
 ❏ Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities
 
 
 ❏ Translate business requirements into scalable data science and machine learning solutions
 
 
 ❏ Validate data availability and define analytical approaches for new use cases
 
 
 ❏ Build predictive models, machine learning solutions, and GenAI applications
 
 
 ❏ Design robust data pipelines and analytical workflows
 
 
 ❏ Apply data processing, feature engineering, and statistical modelling techniques
 
 
 ❏ Ensure solutions are scalable, production-ready, and aligned with software engineering and MLOps best practices
 
 
 ❏ Present analytical findings and recommendations to technical and executive stakeholders
 
 
 ❏ Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way
 
 
 ❏ Mentor junior team members and support technical delivery across multiple initiatives
 
 
 
 You're Our Match If You Have
 
 
 
 ❏ Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field
 
 
 ❏ 5+ years of hands-on experience delivering data science or machine learning solutions
 
 
 ❏ Strong Python programming skills and experience with modern data science libraries
 
 
 ❏ Experience building predictive models, machine learning solutions, and GenAI applications
 
 
 ❏ Strong understanding of statistics, data modelling, and feature engineering
 
 
 ❏ Experience designing scalable data pipelines and production-ready AI solutions
 
 
 ❏ Familiarity with MLOps, model deployment, and machine learning lifecycle management
 
 
 ❏ Excellent stakeholder management and communication skills
 
 
 ❏ Ability to translate complex technical concepts into business value
 
 
 
 Bonus Points If You Have Experience With
 
 
 
 ❏ Telecommunications or other customer-centric industries
 
 
 ❏ Large-scale customer analytics and segmentation
 
 
 ❏ Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG)
 
 
 ❏ Cloud platforms such as Azure, AWS, or Google Cloud
 
 
 ❏ Databricks, Spark, or distributed data processing
 
 
 ❏ Docker, Kubernetes, or CI/CD pipelines
 
 
 ❏ Leading or mentoring technical teams
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Senior Data Scientist

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 We're looking for a hands-on
 
 AI Automation Engineer
 
 to help us design, build, and deploy intelligent business systems that combine automation, AI, and modern digital tools.
 
 
 You'll work across process automation, AI agents, workflow orchestration, integrations, and business transformation initiatives for both internal teams and client projects.
 
 
 This is a highly practical role where you'll use AI, automation platforms, APIs, and no-code/low-code tools to eliminate manual work, improve operational efficiency, and create scalable business solutions.
 
 
 ❏ Design, build, and deploy AI-powered workflows using platforms such as n8n, Make, Zapier, and similar tools
 
 
 ❏ Build AI agents that automate customer service, operations, sales, reporting, and internal business processes
 
 
 ❏ Integrate Large Language Models (OpenAI, Claude, Gemini, and others) into business workflows and applications
 
 
 ❏ Design and implement Retrieval-Augmented Generation (RAG) solutions using company documents, knowledge bases, and structured data
 
 
 ❏ Connect business systems including CRMs, ERPs, databases, communication platforms, and third-party applications through APIs and webhooks
 
 
 ❏ Develop AI-powered assistants, chatbots, and internal copilots for business users
 
 
 ❏ Build automated reporting, monitoring, and business intelligence workflows
 
 
 ❏ Conduct workflow discovery sessions and identify automation opportunities across departments
 
 
 ❏ Create technical documentation, architecture diagrams, and deployment guidelines
 
 
 ❏ Test, troubleshoot, optimize, and maintain automation systems to ensure reliability and scalability
 
 
 ❏ Collaborate with designers, strategists, and developers to deliver AI-powered business solutions
 
 
 
 Requirements
 
 
 
 ❏ Have 3+ years of experience building workflow automation, integrations, or digital business systems
 
 
 ❏ Have hands-on experience with n8n, Make.com, Zapier, or similar automation platforms
 
 
 ❏ Have built AI-powered workflows using OpenAI, Claude, Gemini, Anthropic, or similar AI technologies
 
 
 ❏ Understand prompt engineering, AI orchestration, and agent-based systems
 
 
 ❏ Have experience working with APIs, webhooks, OAuth authentication, and third-party integrations
 
 
 ❏ Can connect and automate platforms such as Airtable, Notion, HubSpot, Salesforce, Google Workspace, Microsoft 365, and similar tools
 
 
 ❏ Have experience working with structured and unstructured data
 
 
 ❏ Have basic programming knowledge in JavaScript, Python, or TypeScript
 
 
 ❏ Have experience with LangChain, LangGraph, CrewAI, OpenAI Assistants API, MCP (Model Context Protocol), or similar AI frameworks
 
 
 ❏ Have worked with vector databases such as Pinecone, Weaviate, Chroma, or similar knowledge retrieval systems
 
 
 ❏ Have experience with Supabase, PostgreSQL, Docker, or other modern backend technologies
 
 
 ❏ Have built customer service, sales, HR, finance, or operations AI agents
 
 
 ❏ Have experience building AI-powered knowledge management systems, enterprise search solutions, or RAG-based applications
 
 
 ❏ Think in systems and enjoy simplifying complex business processes
 
 
 ❏ Communicate clearly and take ownership of delivery
 
 
 ❏ Have strong troubleshooting and problem-solving skills
 
 
 ❏ Are comfortable working directly with clients and stakeholders
 
 
 ❏ Can deliver production-ready AI and automation solutions that create measurable operational efficiencies
 
 
 ❏ Have a track record of reducing manual processes through intelligent automation
 
 
 ❏ Can design scalable automation frameworks that can be reused across multiple projects and clients
 
 
 ❏ Continuously identify opportunities to introduce AI and automation into business operations
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AI Automation Engineer

Join Brainlake and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Brainlake

About Company

Data Quality Analyst

Senior Data Scientist

AI Automation Engineer