Compunnel, Inc.
As a Data Analyst, you will play a pivotal role in supporting data-driven decision-making across various business units.
You can get further details about the nature of this opening, and what is expected from applicants, by reading the below. 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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You can get further details about the nature of this opening, and what is expected from applicants, by reading the below. 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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