Data Analyst

November 3

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PCG Consulting Group International

WebsiteLinkedInAll Job Openings

Project Management • Information Technology • Healthcare Technology • Population Health Management • Contact Center

201 - 500 employees

Founded 2004

⚕️ Healthcare Insurance

Description

• Analyze and interpret data using SQL queries and analytical tools. • Work closely with cross-functional teams to gather requirements and extract data. • Perform data cleansing and transformation on large datasets. • Create reports and visualizations to communicate findings effectively. • Write and optimize SQL queries, ensuring data accuracy and integrity. • Adhere to data governance policies, maintaining data privacy and security.

Requirements

• Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. • Proven experience working as a SQL Data Analyst or similar role, with a strong understanding of SQL and relational databases. • Proficiency in SQL programming, including complex query writing, data manipulation, and optimization techniques. • Familiarity with data visualization tools such as Tableau, Power BI, or similar tools to create meaningful reports and dashboards. • Strong analytical and problem-solving skills, with the ability to analyze large datasets, identify trends, and derive actionable insights. • Knowledge of data modeling concepts and best practices for designing and maintaining data structures. • Excellent communication skills, with the ability to translate complex data analysis results into clear and concise reports for non-technical stakeholders. • Attention to detail and a strong commitment to data accuracy and integrity. • Ability to work collaboratively in a team environment and manage multiple priorities effectively. • Experience with scripting languages such as Python or R for data manipulation and analysis. • Familiarity with data warehousing concepts and techniques. • Knowledge of statistical analysis and data mining techniques. • Understanding of cloud-based database technologies (e.g., AWS Redshift, Google BigQuery, or Azure SQL Database).