Compunnel, Inc.
As a Data Analyst, you will play a pivotal role in supporting data-driven decision-making across various business units.
Your responsibilities will encompass data collection, analysis, reporting, and visualization—contributing to the optimization of operations and enhancement of customer experiences.
Key Responsibilities
Data Collection & Integration: Gather and integrate data from diverse sources including internal databases, external APIs, and third-party vendors to ensure comprehensive datasets for analysis.
Data Cleaning & Preparation: Perform data validation and preprocessing to ensure accuracy, consistency, and completeness of datasets in preparation for analysis.
Data Analysis & Reporting: Analyze both structured and unstructured data to identify trends, patterns, and actionable insights.
Prepare and present regular reports and dashboards to stakeholders.
Collaboration & Support: Work closely with senior analysts and cross-functional teams to understand business needs and deliver analytical support and data-driven recommendations.
Tool Development & Automation: Assist in developing and maintaining automated reporting tools and dashboards to streamline data access and support strategic decision-making.
Required Qualifications
Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related field. Proficiency in SQL for data querying and manipulation. Experience with data visualization tools such as Tableau or Power BI. Familiarity with Python or R for data analysis. Solid understanding of data management principles and database structures. Analytical Skills: Strong problem-solving abilities and attention to detail. Communication Skills: Excellent written and verbal communication skills with the ability to present complex insights to non-technical audiences. Experience: Internship or prior experience in data analysis is advantageous but not mandatory. Preferred Qualifications
Industry Knowledge: Familiarity with healthcare data and industry standards is beneficial. Certifications:
Certifications in data analytics tools or methodologies (e.g., Microsoft Certified: Data Analyst Associate, Google Data Analytics Professional Certificate).
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Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, Information Systems, or a related field. Proficiency in SQL for data querying and manipulation. Experience with data visualization tools such as Tableau or Power BI. Familiarity with Python or R for data analysis. Solid understanding of data management principles and database structures. Analytical Skills: Strong problem-solving abilities and attention to detail. Communication Skills: Excellent written and verbal communication skills with the ability to present complex insights to non-technical audiences. Experience: Internship or prior experience in data analysis is advantageous but not mandatory. Preferred Qualifications
Industry Knowledge: Familiarity with healthcare data and industry standards is beneficial. Certifications:
Certifications in data analytics tools or methodologies (e.g., Microsoft Certified: Data Analyst Associate, Google Data Analytics Professional Certificate).
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