Data Analyst

November 3

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PCG Consulting Group International

Project Management β€’ Information Technology β€’ Healthcare Technology β€’ Population Health Management β€’ Contact Center

201 - 500

Description

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

Requirements

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

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