Jobs for Humanity
Requirements
Candidates must hold a bachelor’s degree in Statistics, Computer Science, or a related field with at least one year of experience. Proficiency in SQL, data quality concepts, and at least one analytics stack is required.
Job Summary
Company Description
Jobs for Humanity is partnering with Company to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life.
Company Name: Company
Job Description
Turn data into actionable insights by analyzing datasets, building models, and reporting results to support business decisions and measurable improvements. Key Performance Indicators: • Deliver dashboards with actionable KPIs • Improve model accuracy through experimentation • Automate recurring reporting processes • Identify and quantify business-impact insights • Maintain reliable data pipelines and quality Qualifications: • Bachelor’s degree in Statistics, Computer Science, or related field • 1+ years experience in data analysis/science • Proficiency with SQL and at least one analytics stack • Experience with machine learning concepts (if applicable) • Strong understanding of data quality and ETL concepts Required Skills: SQL, Python, Statistics, Machine learning basics, ETL/ELT and data pipelines, Data visualization (Power BI/Tableau), Problem-solving, Clear communication, Attention to detail, Stakeholder management
Qualifications
Required Qualifications
Bachelor’s degree in Statistics, Computer Science, or related field
1+ years experience in data analysis/science
Proficiency with SQL and at least one analytics stack
Experience with machine learning concepts (if applicable)
Strong understanding of data quality and ETL concepts
SQL
Python
Data visualization (Power BI/Tableau)
ETL/ELT and data pipelines
Statistics and problem-solving
Clear communication and stakeholder management
Attention to detail
Company: Company
Responsibilities
The Data Insights Analyst will transform datasets into actionable business insights by building models and creating dashboards. They are responsible for maintaining data pipelines, automating reporting processes, and quantifying business impact.
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