Systems Engineer - Data Analysis (CBO)

Position Overview

We are looking for a skilled Data Analytics and Visualization Specialist to perform data analysis, create insightful visualizations, and manage data workflows using Tableau, Databricks, and AWS. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a passion for turning data into actionable insights.

Role & Responsibilities

•    Develop, implement, and maintain data analytics solutions using Tableau, Databricks, and AWS.
•    Create and manage interactive dashboards and reports to visualize complex data sets.
•    Collaborate with cross-functional teams to understand data requirements and deliver solutions that meet business needs.
•    Perform data extraction, transformation, and loading (ETL) processes to ensure data integrity and accuracy.
•    Conduct exploratory data analysis to identify trends, patterns, and insights.
•    Optimize data workflows and processes for efficiency and scalability.
•    Provide training and support to team members on data tools and best practices.
•    Stay up-to-date with the latest trends and technologies in data analytics and visualization.
•    Build robust and reproducible data ingest pipelines to collect, clean, harmonise, normalise, and consolidate data sources.
 

Requirements

•    Bachelor’s degree in Data Science, Computer Science, Information Technology, or a related field.
•    Proven experience in data analytics and visualization using Tableau, Databricks, Sagemaker and AWS.
•    Strong proficiency in SQL and data manipulation languages.
•    Experience with ETL processes and data pipeline development.
•    Excellent analytical and problem-solving skills.
•    Strong communication and collaboration skills, with the ability to convey complex data insights to non-technical stakeholders.
•    Ability to work independently and manage multiple projects simultaneously.
•    Familiarity with healthcare data and regulations is a plus.
•    Skilled in data acquisition and management with proficiency in data ingestion, storage, processing, and analysis using relational and non-relational databases and cloud-based data platforms.
Preferred Skills:
•    Experience with Python or R for data analysis.
•    Knowledge of machine learning techniques and tools.
•    Ability to design and implement data models and data architecture.
•    Certification in Tableau, Databricks, Sagemaker or AWS is a plus.
•    Good interpersonal skills, a detail-oriented & flexible person who can work across different areas within the team.
•    Experience in cloud -based data platform.
•    An understanding of finance data is a plus.

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