Data Scientist

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The Disruptors Den

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2023

🤝 B2B

🌍 Social Impact

B2B • Startup • Social Impact

The Disruptors Den is an organization that focuses on innovation and entrepreneurship, providing a platform for startups and new ideas to thrive. It serves as a community for disruptors and visionaries seeking to challenge the status quo and drive change in their respective industries. The goal of The Disruptors Den is to connect like-minded individuals and foster an environment conducive to growth and collaboration.

📋 Description

• Build, maintain, and improve dashboards and reports that give stakeholders clear, timely visibility into performance. • Write and optimise SQL and Python to extract, transform, and analyse data from multiple sources. • Partner with stakeholders to understand their questions, define metrics, and translate requirements into analytics that drive decisions. • Ensure data quality and accuracy through validation, de-duplication, and reconciliation of reporting outputs. • Document analyses and reporting logic, and present findings clearly to both technical and non-technical audiences.

🎯 Requirements

• A degree or equivalent qualification in Data Science, Analytics, Statistics, Computer Science, or a related quantitative field. • 3-5 years of hands-on experience in a data science, analytics, or business intelligence role. • Strong, demonstrable SQL skills, including writing complex queries and working with large datasets. • Proficiency in Python for data analysis, manipulation, and automation. • Proven experience building dashboards and reports in tools like QuickSight, Metabase, or Power BI. • A strong eye for data quality and accuracy, with the ability to communicate insights clearly to non-technical stakeholders. • Dedicated business intelligence experience, including ownership of reporting or analytics in a previous role. • Experience with data engineering or building and maintaining data pipelines. • API integration and automation experience would be a plus. • Exposure to statistical modelling, forecasting, or machine learning techniques. • Experience working in a remote, distributed team across multiple time zones.

🏖️ Benefits

• Professional development opportunities