Remotery

Senior Data Analyst

Posted Jul 29

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

πŸ“‹ Description

β€’ Analyze, cleanse, and structure datasets to uncover trends and provide actionable insights that aid teams throughout QS.

β€’ Develop and sustain dashboards, reports, and visualizations using Power BI, facilitating self-service analytics for business units.

β€’ Convert intricate datasets into straightforward, actionable visual insights, applying best practices in data storytelling to back strategic initiatives.

β€’ Collaborate with cross-functional teams to understand data requirements and translate them into concise analyses and reports.

β€’ Execute data wrangling and basic ETL tasks, ensuring data accuracy, reliability, and readiness for analysis.

β€’ Employ SQL (PostgreSQL, BigQuery SQL) and Python for querying, data manipulation, and ad-hoc analysis.

β€’ Uphold data quality standards and document processes, maintaining well-organized datasets for analytical purposes.

β€’ Monitor and resolve data-related issues to guarantee consistent and timely delivery of data and reports.

β€’ Keep abreast of BI tool advancements and data visualization best practices to continually enhance reporting and insights.


⛳️ Requirements

β€’ Proficient in SQL (PostgreSQL and BigQuery) for querying and data analysis.

β€’ Practical experience with BI tools like Power BI to design dashboards and reports.

β€’ Solid experience with cloud data warehouse platforms such as BigQuery or Snowflake.

β€’ Familiarity with fundamental ETL processes and data cleansing techniques to prepare datasets for analysis.

β€’ Basic proficiency in Python for data manipulation (utilizing libraries like Pandas, NumPy) and assisting the ML team with data preparation.

β€’ Knowledge of data quality standards, emphasizing accuracy, completeness, and consistency.

β€’ Experience in documenting data processes and analyses to ensure knowledge sharing and reproducibility.

β€’ Strong analytical abilities to interpret complex data and convey findings to both technical and non-technical audiences.

β€’ A curious mindset and a willingness to continuously learn new tools and methods to enhance data analysis and visualization.


🏝️ Benefits

β€’ Complimentary subscription to the Calm App – the leading app for sleep, meditation, and relaxation.

β€’ Emphasis on welfare led by our global wellness team, supported by mental health first aiders worldwide.

β€’ Access to a range of diversity and inclusion initiatives and groups.

β€’ Robust recognition and reward programs – including a peer-to-peer recognition platform, quarterly and annual QS Applaud Awards, and the Connect with your Career annual PD event.

β€’ Support for volunteering and study leave.

β€’ Free subscription to LinkedIn Learning – offering over 5000 courses and programs at your fingertips.

β€’ Opportunities to participate in our exceptional global Mentorship program.

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