Senior Data Analyst and Engineer

ESR Healthcare; United States; On-site; USD 80,000 - 120,000; Full time

Job summary

ESR Healthcare is seeking a Senior Data Analyst and Engineer to join their dynamic team. This role focuses on analyzing large datasets, developing data pipelines, and providing insights that drive strategic business decisions. The ideal candidate should have strong skills in data analysis, programming, and must possess experience with visualization tools and cloud technologies.

Qualifications

• Proficiency in SQL and relational databases (MySQL, PostgreSQL).
• Strong programming skills in Python, R, or Java.
• Experience with data visualization tools like Tableau and Power BI.

Responsibilities

• Analyze complex datasets to identify trends and opportunities for optimization.
• Design and develop robust data pipelines for ETL processes.
• Collaborate with teams to translate business requirements into technical solutions.

Skills

Data Analysis

Data Engineering

Problem-Solving

Communication

Collaboration

Tools

SQL

Python

R

Tableau

Power BI

AWS

Azure

Google Cloud

Hadoop

Spark

Job description

Senior Data Analyst and Engineer

Join our dynamic team as a Senior Data Analyst and Engineer. In this role, you will analyze large datasets, build data pipelines, and develop innovative solutions to extract actionable insights. The ideal candidate is skilled in data analysis and engineering, with a passion for transforming data into valuable business intelligence.

Responsibilities:

1. Analyze complex datasets to identify trends, patterns, and opportunities for optimization.
2. Design and develop robust data pipelines to extract, transform, and load (ETL) data from various sources.
3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
4. Build predictive models and algorithms to support data-driven decision-making.
5. Perform exploratory data analysis to uncover insights and inform strategic initiatives.
6. Optimize and maintain existing data infrastructure to ensure scalability, reliability, and performance.
7. Mentor and provide guidance to junior team members.
8. Stay updated on emerging technologies and trends in data analysis and engineering.

Minimum Requirements:

• Proficiency in SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
• Strong programming skills in languages such as Python, R, or Java.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Knowledge of statistical analysis and machine learning techniques.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.