MSPbots.ai

Data Analyst

• Learn and understand the structure and mission of the Migrations team
• Assist in writing basic SQL queries to extract and manipulate data
• Replicate dashboards, widgets, and reports for operational use
• Shadow team members to gain insight into day-to-day tasks
• Handle various job-related tasks to support team goals and live projects
• Work directly on live projects to gain exposure to real-world data and sharpen SQL and analytics skills
• Participate in occasional once-a-month on-site setup/meetings in Ortigas, Pasig

Data Analyst Intern

Data Engineer

• Build and optimize ETL/ELT pipelines for ingesting data from PSA, RMM, and monitoring tools
• Use tools like Airflow, dbt, and Fivetran to develop scalable workflows
• Implement normalization and integration logic across MSP platforms (ConnectWise, Kaseya, Datto, N-able)
• Help scale and maintain cloud-based data infrastructure (Azure)
• Contribute to CI/CD for data workflows and align with DevOps best practices
• Improve performance through data partitioning, syncing, and storage tuning
• Create and maintain well-documented dimensional and normalized data models
• Align data schemas and transformations with product and business logic
• Power dashboards, bots, and analytics through reliable backend design
• Implement Data Quality Indicators (DQIs) and monitor pipeline reliability
• Support access control, data auditing, and compliance with SOC 2, GDPR, and CCPA
• Maintain clear documentation of schemas, lineage, and transformation logic
• Help define metadata standards and contribute to the central data catalog
• Collaborate with Data Analysts, Developers, and Customer Teams to translate business needs
• Act as a subject matter expert on data models and platform integrations
• Mentor junior team members and promote clean code, modular design, and performance best practices

Senior Data Engineer

Onboarding Specialist

• Guide new clients through implementation and adoption of assigned MSPbots products
• Maintain deep, up-to-date understanding of MSPbots products and new features
• Act as subject matter expert and strategic advisor to clients and internal teams
• Conduct needs assessments and establish measurable onboarding goals
• Leverage pre-built templates and best-practice configurations to accelerate time to value
• Develop and deliver online training sessions covering product features and implementation strategies
• Guide clients through configuration and customization to align with workflows
• Provide ongoing support and guidance during initial stages of product adoption
• Capture client feedback and communicate to Product Team
• Maintain communication with Customer Success Manager and facilitate handoff
• Create and maintain onboarding resources (videos, documentation, tutorials, FAQs)
• Anticipate and resolve adoption challenges and identify process improvements

Product Onboarding Specialist

Engineering Manager

• Lead and scale our unified data engineering team to power MSPbots.ai’s next phase of growth.
• Direct Reports: 3 Data Engineers (with future team growth planned); future integration: Data Analysts.
• Reporting Line: Executive Leadership Team.
• Location: Remote (cross-timezone collaboration required for China and Philippine Team).
• Establish unified data models across ConnectWise, AutoTask, and Halo for PSA Data Integration.
• Resolve sync issues and build scalable infrastructure to support 10x customer growth.
• Provide the data foundation for AI Ticket Triage and future AI-driven products.
• Develop automated dashboards for client health monitoring, churn prediction, and executive KPIs.
• Recruit, develop, and retain top data engineering talent; provide technical mentorship and support career growth.
• Partner with product, engineering, and customer success teams for cross-functional collaboration.
• Establish quality standards, security protocols, and compliance best practices.

Data Engineering Manager

• Learn and understand the structure and mission of the Migrations team
• Assist in writing basic SQL queries to extract and manipulate data
• Replicate dashboards, widgets, and reports for operational use
• Shadow team members to gain insight into day-to-day tasks
• Handle various job-related tasks to support team goals
• Work directly on live projects and support operational analytics