Data Scientist- Social Impact

YunoJuno; United Kingdom; On-site; GBP 45,000 - 65,000; Part time

Job summary

YunoJuno is seeking a Mid-Senior Level TVC Analyst to transform complex data into actionable insights impacting projects with a social focus. The role requires proficiency in SQL and Python, along with strong communication and project management skills. Candidates with a background in impact measurement and a passion for data are encouraged to apply.

Qualifications

• Mastery in SQL and Python for data analysis.
• Understanding of statistical techniques and their application.
• Excellent communication skills for translating data to non-technical stakeholders.

Responsibilities

• Design and execute analyses to measure project impact.
• Translate complex data into clear, compelling reports.
• Collaborate with various teams to support project objectives through data insights.

Skills

SQL

Python

Statistical Techniques

Data Storytelling

Communication Skills

Project Management

Tools

Git

Job description

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The TVC Analyst will play a crucial role in transforming complex data sets into actionable insights, contributing to projects that have a social impact. The role involves addressing stakeholder requests and developing a robust data analysis infrastructure.

Key responsibilities:

• Impact Analysis: Design and execute in-depth analyses to measure the impact of various projects in to-be-determined efforts.

• Insight Communication: Translate complex data findings into clear, visually compelling reports and dashboards customised for a diverse set of collaborators.

• Ad Hoc Analysis: Provide prompt and accurate responses to data-driven queries from various collaborators.

• Collaboration: Work closely with teams to identify data needs and support project objectives through impactful insights.

• Data Infrastructure Development: Develop and maintain data pipelines for clean, organised, and accessible data.

Role requirements:

• Programming Proficiency: Mastery in data analysis tools such as SQL and Python.

• Statistical Expertise: Understanding of statistical techniques like hypothesis testing, regression modelling, and experimental design.

• Data Storytelling: Translate technical findings into understandable narratives and visuals for a non-technical audience.

• Problem-Solving: Analytical mindset to identify trends and anomalies.

• Communication & Collaboration: Excellent verbal and written communication skills with a knack for team collaboration.

• Delivery Focused: Action-oriented with initiative for exceptional outcomes.

• Project Management Skills: Capable of independent execution and leading projects end-to-end.

• AI-first: Utilise AI tools to boost productivity.

Additionally advantageous:

• Experience in Impact Measurement: Previous work in evaluating impacts within sectors such as science, sustainability, or education.

• Domain Knowledge: Familiarity with sustainability metrics, life sciences data, or educational assessment techniques.

• Collaborative Software Development: Understanding of version control systems like Git.

• Data Science Foundations: Insight into machine learning principles and techniques for advanced analysis.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Contract

Job function

• Job function

  Research and Strategy/Planning

• Industries

  Data Infrastructure and Analytics

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