Azra AI · 1 day ago
Data Analyst
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Artificial Intelligence (AI)Health Care
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Responsibilities
Query and extract data from PostgreSQL and BigQuery databases.
Transform raw data into structured formats for analysis, ensuring data accuracy, integrity, and relevance.
Design and implement data pipelines to automate data extraction, transformation, and loading (ETL processes).
Collaborate with cross-functional teams to understand data requirements and deliver data solutions tailored to business needs.
Analyze large datasets to identify trends, patterns, and key insights that inform business decisions.
Use tools like Tableau and Power BI to create interactive and impactful data visualizations that communicate complex insights to both technical and non-technical stakeholders.
Generate ad-hoc reports and dashboards to support operational and strategic decision-making.
Write and optimize complex SQL queries to gather, clean, and analyze data from PostgreSQL, BigQuery, and other sources.
Ensure queries are efficient, scalable, and capable of handling large datasets.
Collaborate with engineering and data teams to improve database schema and data models.
Utilize Python and Jupyter Notebooks to perform predictive analytics, building models that forecast future trends and outcomes.
Work with machine learning frameworks and libraries to develop models for regression, classification, and time series forecasting.
Continuously refine and test models to improve prediction accuracy.
Document analytical processes, methodologies, and results in clear and comprehensive reports.
Ensure transparency and reproducibility of findings, including maintaining proper version control of datasets, code, and models.
Provide regular updates to stakeholders on key data trends, insights, and predictive analytics results.
Qualification
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Required
Strong expertise in SQL, including query optimization and working with PostgreSQL and BigQuery databases.
Proficiency in data analysis and visualization tools such as Tableau, Power BI, or similar.
Experience with Python for data analysis, predictive modeling, and working with Jupyter Notebooks.
Strong analytical mindset with the ability to uncover insights from large, complex datasets.
Excellent problem-solving skills, with an ability to think critically and creatively to find solutions.
Ability to effectively communicate complex data findings and technical concepts to both technical and non-technical stakeholders.
Strong written and verbal communication skills to document processes and results.
Bachelor's degree in Data Science, Computer Science, Statistics, Engineering, or a related field (or equivalent experience).
At least 3 years of experience in data analysis, data engineering, or a related role, with a focus on SQL and data visualization.
Preferred
Experience working with cloud-based data platforms (e.g., Google Cloud Platform, AWS, Azure).
Familiarity with big data tools and technologies (e.g., Apache Spark, Hadoop) is a plus.
Experience working with data pipelines, automation, and data warehousing.
Company
Azra AI
Azra AI provides a better care experience and better outcomes by quickly analyzing, identifying, and classifying oncology patients.
Funding
Current Stage
Early StageTotal Funding
unknown2022-03-10Pre Seed· Undisclosed
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