Short Description:
The Data Analyst position at ConcertAI in Bengaluru, India, involves researching and analyzing healthcare data to identify trends and patterns. Utilizing tools like MS SQL, R, Python, and Power BI, the analyst will query, validate, and visualize data to provide strategic insights to stakeholders. Attention to detail and adherence to Quality Control measures are crucial to ensure data accuracy. Collaboration with team members, both on-shore and off-shore, is essential for project success. The role requires excellent communication skills to convey complex technical concepts to non-technical stakeholders effectively.
Position: Data Analyst
Company: ConcertAI
Location: Bengaluru, Karnataka, India
Job type: Full time
Job mode: Onsite
Job id: P-100179
Introduction
The role of a Data Analyst in Bengaluru, Karnataka, India, is a pivotal position within the domain of Patient Solutions. This full-time, in-office role offers an exciting opportunity to delve into the complexities of healthcare data analytics. Let's explore the responsibilities, qualifications, and skills required for this role in detail.
Responsibilities
Research and Analytical Development
As a Data Analyst, your primary responsibility involves researching and developing analytical methodologies. These methodologies aim to identify, analyze, and interpret trends or patterns within vast and intricate datasets, specifically focusing on healthcare data. Leveraging an array of analytical tools such as MS SQL, R, Python, and Power BI, you'll query, structure, validate, and visualize data to extract meaningful insights.
Quality Control and Testing
Ensuring data accuracy is paramount in the realm of healthcare analytics. Therefore, you'll need to demonstrate a profound understanding of workflow processes and adhere rigorously to prescribed Quality Control measures. Active involvement in User Acceptance Testing (UAT) and Regression Testing processes is essential to validate data integrity and ensure functional excellence.
Strategic Insights and Reporting
One of the key objectives of this role is to provide strategic insights to stakeholders by evaluating business requirements and compiling relevant data. Constructing dashboards and reports equipped with actionable insights enables stakeholders to make informed decisions. Utilizing SQL, you'll extract data directly from relational databases, data warehouses, or other sources, tailoring solutions to address specific business challenges effectively.
Process Improvement and Stakeholder Education
Identifying opportunities for process enhancement is integral to optimizing workflow efficiency. By developing and implementing optimized solutions, you'll not only streamline processes but also educate stakeholders on new methodologies. Effective communication of data analysis results to management supports their business inquiries and facilitates decision-making processes.
Collaboration and Team Coordination
Collaboration is at the heart of successful data analytics projects. Working closely with on-shore/off-shore team members ensures seamless execution and completion of assigned tasks. By fostering a collaborative environment, you'll harness the collective expertise of team members to drive project success.
Qualifications and Skills
Educational Background: A Bachelor's or Master's degree in a relevant field such as Data Science, Computer Science, Statistics, or equivalent work experience provides the foundational knowledge required for this role.
Technical Proficiency: Proficiency in analytical tools and programming languages, including MS SQL, R, Python, and Power BI, is essential. A strong understanding of data visualization techniques and tools enhances the ability to convey insights effectively.
Communication Skills: Excellent communication skills are crucial for conveying complex technical concepts to non-technical stakeholders. Clear and concise communication fosters understanding and facilitates decision-making processes.
Domain Expertise: While not mandatory, proven experience in data analysis within the healthcare sector is preferred. Familiarity with healthcare data systems and regulations enhances the ability to derive actionable insights.
Team Collaboration: The ability to work collaboratively in a team environment and manage multiple priorities effectively is essential. Collaboration fosters innovation and ensures the collective success of the team.
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