This is a fully remote position, open to applicants in Philippines.

• Assume responsibility for the current ETL/ELT data pipelines utilizing Python and SQL, guaranteeing their reliability and scalability.

• Execute, manage, and schedule data workflows on cloud platforms like Databricks and Azure Data Factory (ADF).

• Create Python scripts for extracting, cleaning, and processing data from various APIs, employing libraries such as pandas and requests.

• Write, debug, and enhance SQL queries to fulfill data modeling and reporting requirements.

• Design, develop, and sustain interactive Power BI dashboards to monitor essential business metrics.

• Conduct ad-hoc analyses using Excel and Google Sheets, including pivot tables and advanced data manipulation techniques.

• Collaborate directly with leadership and operations teams based in the US to comprehend reporting needs and provide actionable insights.

• Convert complex data into clear, meaningful visualizations that facilitate business decision-making.

• 2 to 4 years of experience as a Data Analyst, Analytics Engineer, or Python Developer with a strong focus on data.

• Bachelor’s degree in Computer Science, IT, Engineering, or a related quantitative discipline.

• Strong expertise in Python and SQL, with the capability to write scripts and execute complex database queries.

• Experience in creating dashboards in Power BI, along with strong skills in Excel and/or Google Sheets.

• Exceptional written and verbal communication skills in English, with the ability to collaborate effectively with US-based teams.

• Strong analytical and problem-solving abilities, with a knack for critically analyzing data and validating outcomes.

• Capability to work autonomously in a remote setting while taking ownership of assigned tasks.

• Familiarity with Databricks, PySpark, or Azure Data Factory (Bonus Points).

• Enjoy the flexibility of working in your PJs - We are fully remote.

• Make a significant impact - Your role will encompass a broader scope compared to organizations with over 1,000 employees.

• Work closely with our leadership team. We maintain a flat organizational structure!

Analytics Engineer

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