Senior Business Intelligence Analyst driving KPI management, forecasting, and profitability insights for MGID’s global native advertising platform. Supporting commercial growth through SQL, Python, BI, and data analysis.
About the role
- Data Engineer scaling BI, analytics engineering, and reporting automation for Veem’s global payments platform. Building trusted dashboards, data models, governance, and AI-supported reporting workflows.
Responsibilities
- Own and scale reporting and analytics infrastructure for operational, revenue, customer, and executive decision-making
- Build and maintain scalable SQL/dbt data models, marts, semantic layers, and reporting datasets
- Clean, structure, and document complex or messy data systems
- Develop trusted reporting foundations for business teams
- Improve data consistency, metric governance, and reporting standards
- Design maintainable transformations and reusable analytics layers
- Own production dashboards, recurring reports, KPI packs, and reporting workflows
- Maintain and improve BI systems across business functions
- Partner with stakeholders to define KPIs, business logic, and reporting requirements
- Ensure dashboard accuracy, reliability, and usability
- Support self-serve analytics capabilities
- Build or manage automated reporting workflows and monitoring systems
- Support AI agents and workflow automation for reporting QA, data quality, KPI generation, dashboard monitoring, reporting automation, metric documentation, and data freshness checks
- Review automated outputs and implement QA/governance processes
- Transform manual reporting processes into scalable automated systems
- Implement data QA, validation, monitoring, and alerting
- Maintain data documentation, metric definitions, and reporting standards
- Improve observability and trust in reporting systems
- Troubleshoot reporting discrepancies and data issues proactively
Requirements
- 3–6 years of experience in analytics engineering, BI engineering, reporting engineering, data analytics, data modeling, reporting automation, or similar fields
- Advanced SQL skills
- Strong hands-on dbt experience
- Experience building SQL tables, marts, semantic layers, reporting datasets, and transformation pipelines
- Experience with BI tools such as Looker, Tableau, Power BI, Metabase, Sigma, Hex, Mode, or similar
- Experience maintaining dashboards and recurring reports in production environments
- Experience with data QA, monitoring, and reporting automation
- Strong documentation habits and QA mindset
- Ability to independently own reporting infrastructure and workflows
- Fintech, payments, or B2B SaaS experience is a bonus
- Experience with HubSpot data, CRM data, revenue operations, customer success data, payments or transaction data is a bonus
- KPI governance and metric definition experience is a bonus
- Data freshness monitoring and alerting experience is a bonus
- AI tooling or workflow automation experience involving OpenAI, Anthropic, n8n, AI agents, reporting bots, dashboard QA agents, or workflow orchestration is a bonus
- Experience automating manual reporting workflows is a bonus
Benefits
- Bonus
- Health Benefits
- Cross-functional collaboration
- Opportunity to contribute meaningfully and see results quickly
- Opportunity to shape the future of B2B payments
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
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