Henderson Scott US
Sr. Data Analyst
Henderson Scott US, Kansas City, Kansas, United States, 66115
Main Responsibilities:
Design and implement data visualizations to assist the organization with both internal and external data needs.Analyze and report on critical aspects such as pricing, product strategies, finance, and marketing initiatives.Diagnose and resolve technical issues promptly, ensuring smooth operations.Collaborate with the product owner, development team, and data analytics specialists to refine requirements and devise solutions.Partner with fellow software engineers and team members to navigate a variety of technical challenges.Develop and execute intricate SQL queries and Python scripts to tackle diverse business issues.Conduct ongoing data quality assessments to ensure the reliability and integrity of data across multiple platforms.Mentor junior analysts and team members, encouraging a supportive and collaborative learning atmosphere.Essential Qualifications:A bachelor's degree or equivalent experience in a relevant field.A minimum of 5 years in a role such as Data Analyst, Business Intelligence Analyst, or similar.Solid experience with visualization tools like PowerBI, Tableau, or Qlik.Strong grasp of SQL and relational database systems (e.g., SQL Server).Practical knowledge of Python for data analysis, scripting, and automation purposes.Capable of working both independently and collaboratively within a team.Experience leading or acting as a subject matter expert on small to medium-scale projects.A keen interest in continuous learning and professional growth.Preferred Qualifications:Experience with ETL tools (e.g., Azure Data Factory, Talend, etc.).Familiarity with big data technologies and cloud platforms, especially Azure.A portfolio showcasing visualizations developed in Tableau, Power BI, or similar applications.Understanding of deployment automation, continuous integration/continuous delivery (CI/CD), and Infrastructure as Code (IaC).Knowledge of data security protocols, compliance requirements, and encryption techniques.Familiarity with machine learning methodologies and applications.Ability to engage effectively with cross-disciplinary teams.
Design and implement data visualizations to assist the organization with both internal and external data needs.Analyze and report on critical aspects such as pricing, product strategies, finance, and marketing initiatives.Diagnose and resolve technical issues promptly, ensuring smooth operations.Collaborate with the product owner, development team, and data analytics specialists to refine requirements and devise solutions.Partner with fellow software engineers and team members to navigate a variety of technical challenges.Develop and execute intricate SQL queries and Python scripts to tackle diverse business issues.Conduct ongoing data quality assessments to ensure the reliability and integrity of data across multiple platforms.Mentor junior analysts and team members, encouraging a supportive and collaborative learning atmosphere.Essential Qualifications:A bachelor's degree or equivalent experience in a relevant field.A minimum of 5 years in a role such as Data Analyst, Business Intelligence Analyst, or similar.Solid experience with visualization tools like PowerBI, Tableau, or Qlik.Strong grasp of SQL and relational database systems (e.g., SQL Server).Practical knowledge of Python for data analysis, scripting, and automation purposes.Capable of working both independently and collaboratively within a team.Experience leading or acting as a subject matter expert on small to medium-scale projects.A keen interest in continuous learning and professional growth.Preferred Qualifications:Experience with ETL tools (e.g., Azure Data Factory, Talend, etc.).Familiarity with big data technologies and cloud platforms, especially Azure.A portfolio showcasing visualizations developed in Tableau, Power BI, or similar applications.Understanding of deployment automation, continuous integration/continuous delivery (CI/CD), and Infrastructure as Code (IaC).Knowledge of data security protocols, compliance requirements, and encryption techniques.Familiarity with machine learning methodologies and applications.Ability to engage effectively with cross-disciplinary teams.