Chief Data Architect

1 day ago

Bacoor, Calabarzon, Philippines beBeeAnalytics Full time $90,000 - $120,000
Analytics Engineering Position

About the Role

We seek a highly skilled and detail-oriented Analytics Engineer to contribute to our data team's growth.

You will be responsible for designing and implementing clean, reliable, and extensible data models that power business reporting and decision-making.

Collaboration with Business Intelligence Engineers is key to ensuring well-structured datasets are ready for dashboarding, monitoring data quality across key systems, writing ad hoc queries in BigQuery, and extracting data from external APIs using Python.

The ideal candidate brings strong technical skills along with a solid understanding of marketing and business operations. Experience in lead generation—especially within the legal industry—is advantageous.

Success in this role means the business can trust the data, build dashboards faster, and reduce reliance on ad hoc queries and manual fixes.

  • Key Responsibilities

    • Create and update data models using best practices like testing and data diff (Data Fold).
    • Add metadata (schema, descriptions) and data tests to models
    • Leverage reusable dbt macros and packages to ensure scalable and DRY transformations.
    • Improve speed to build tables by using incremental models

  • Data Management

    • Build curated data marts or semantic layers that allow business users or dashboard developers to self-serve reporting needs without requiring custom SQL queries.
    • Proactively monitor data pipelines and anomalies using tools like Monte Carlo, and take ownership of triaging data quality issues before they impact stakeholders.
    • Document all data models, their dependencies, and usage guides so that other team members can easily understand and extend the system.

  • Cross-functional Collaboration

    • Work closely with other departments to investigate sources of errors. Then fix the problem or create a summary of the issue and work with our data engineer to resolve it.
    • Format reports in excel and merge data from multiple datasets with vlookup and other advanced excel functions.
    • Write ad hoc SQL multiple table join queries to get data.
    • Write clean and composable SQL code.

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