Senior Data Analyst
New
J
JobgetherEducation Technology
IndiaContractSenior
Salary not disclosed
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Job Details
- Experience
- 4+ years
- Required Skills
- PythonSQLGitMachine LearningTableauBigQueryR
Requirements
- 4+ years of hands-on professional experience in data analytics, ideally within education, EdTech, or a similarly data-driven environment.
- Strong SQL skills and demonstrated ability to manipulate, analyze, and transform data using Python or R.
- Practical experience with advanced statistical techniques such as multiple regression and hypothesis testing.
- Knowledge of applied machine learning techniques, including clustering and decision-tree methods.
- Experience working with data warehouses and analytics infrastructure, with BigQuery experience strongly valued.
- Familiarity with the end-to-end analytics lifecycle, including data integration, modeling, analysis, visualization, and business intelligence.
- Experience with BI and visualization tools such as Looker Studio, Tableau, Streamlit, or comparable platforms.
- Strong analytical and business mindset, with the ability to connect data findings to practical business decisions.
- Excellent written and verbal communication skills.
- Strong data storytelling skills and the ability to turn complex information into concise, actionable recommendations.
- Familiarity with Git and good practices for version control and collaborative development.
Responsibilities
- Automate the ingestion and integration of data from multiple sources, including Google Sheets, APIs, and internal systems, into BigQuery.
- Design, build, maintain, and monitor scalable data pipelines and workflows while ensuring data accuracy, consistency, and reliability.
- Perform exploratory, descriptive, and diagnostic analyses to identify trends, patterns, opportunities, and potential issues.
- Develop dashboards, reports, and data visualizations using tools such as Streamlit, Looker Studio, Tableau, or similar platforms.
- Partner with stakeholders to define meaningful business metrics and establish systems for daily, weekly, and monthly KPI tracking.
- Translate complex datasets and analytical findings into clear, actionable insights for both technical and non-technical audiences.
- Collaborate with cross-functional teams to investigate business questions and identify opportunities to improve products, content, and user experiences.
- Maintain good data and development practices, including appropriate use of version control and collaborative workflows.
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