Maintain and build SQL-based reports and dashboards, debug data pipelines, validate joins and business logic, own recurring reporting cycles, develop dbt models and documentation, handle stakeholder requests, and support exploratory analyses and analytics engineering tasks.
Looking to take your career to the next level? Then this role is for you!
Join Outsourcey and be part of our mission to revolutionize global talent expansion! We connect businesses with dedicated full-time teams in the Philippines, offering cost-efficient solutions without compromising quality. Join us and help elevate businesses with complete control and comprehensive support, let's shape the future of work together!
Profile Requirements:
- 3-6 years of experience in analytics, business intelligence, data analysis, or a
- related technical role
- • Strong SQL skills - you write queries independently and debug them confidently
- • Experience with Snowflake or similar modern cloud data warehousing
- • Experience with BI or reporting tools (Looker, Tableau, Metabase, or similar)
- • Familiarity with dbt or a clear willingness and ability to learn it quickly
- • Experience owning recurring reporting or operational data workflows
- • Comfortable working in Git and standard development environments
- • Strong attention to detail with a systems-oriented mindset
- • Good written and verbal communication skills - you can explain data clearly to
- non-technical stakeholders
- Preferred Qualifications
- • Experience in an agency, marketing, or professional services environment
- • Hands-on dbt experience (building models, writing tests, managing
- dependencies)
- • Exposure to operational analytics or capacity/utilization reporting
- • Experience with Python for data manipulation or automation
- • Familiarity with workflow or project management tools
- • Experience contributing to data documentation or analytics engineering best
- practices
Core responsibilities:
- Write and maintain SQL queries across operational data sources
- • Debug data pipeline issues and QA data refresh outputs
- • Validate joins and business logic to ensure data accuracy
- • Own lower and mid-complexity modeling independently with minimal
- supervision
- • Own recurring reporting cycles and ensure on-time, accurate delivery
- • Develop and maintain operational dashboards and reporting - building net-new
- analysis where gaps exist and keeping existing systems accurate as the
- business evolves
- • Manage spreadsheet-based workflows and data refresh processes
- • Handle lower-complexity stakeholder data requests independently
- • Maintain clear documentation of models, pipelines, and reporting logic
- • Surface data quality issues proactively before they become downstream
- problems
- • Contribute to a culture of technical reliability and continuous improvement
- Beyond the core, this role also contributes to the following areas as you build context
- and technical depth:
- Analytics Engineering and Data Infrastructure
- • Build, document, and maintain dbt models for recurring analytical use cases
- • Work in Git, VS Code, and standard dev workflows
- • Grow into co-ownership of data infrastructure alongside the Senior Business
- Analyst
- Exploratory and Ad Hoc Analysis
- • Pull and structure datasets in support of senior-level analyses
- • Validate trends and flag anomalies for review
- • Conduct first-pass investigation work to support strategic decision-making
- • Document findings clearly so insights are accessible and actionable
Benefits: Competitive salary Opportunity to shape the HR function of a rapidly growing BPO. Work closely with a team of industry leaders who have successfully scaled BPOs in the past. Career growth and development opportunities.
Please attach your CV and we will be in touch for a confidential chat. Let's do great things together!
This is a remote position.
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