athenahealth is hiring for a fresher entry level Data Analyst (Associate) role in India

Position:
Data Associate (Data Analyst)

Company:
athenahealth

Location:
Chennai, Tamil Nadu, India

Job type:
Full-time

Job mode:
Onsite

Job requisition id:
R13522

Years of experience:
0–3 years

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Company Description

• athenahealth is a global healthcare technology company working toward a mission to build an ecosystem that ensures healthcare is accessible, high-quality, and sustainable for everyone.

• The company specializes in offering IT and cloud-based solutions that empower healthcare providers to focus on patient care by removing administrative barriers.

• Founded with the belief that technology can simplify the complexities of the healthcare industry, athenahealth connects hospitals, clinics, and medical practices through a shared network that drives collaboration and efficiency.

• Their solutions include electronic medical records, revenue cycle management, patient engagement systems, and population health analytics.

• Headquartered in Boston, Massachusetts, with major offices in Bengaluru, Pune, and Chennai, athenahealth has grown into a global enterprise that supports thousands of medical professionals and millions of patients.

• The company culture celebrates innovation, teamwork, and inclusivity, encouraging every employee (known as an “athenista”) to push boundaries, solve meaningful challenges, and create a positive impact.

• The organization values diversity and ensures that every team member contributes unique perspectives that advance its vision for the future of healthcare.

• Employees enjoy access to several benefits that support personal growth, professional development, and overall wellbeing.

• athenahealth’s vision extends beyond just healthcare systems, focusing on building partnerships that transform how care is delivered worldwide.

• By combining advanced technology with deep healthcare expertise, athenahealth continues to redefine how medical institutions connect with patients and data.

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Profile Overview

• The role of Data Associate at athenahealth sits within the Platform Operations team under the Product Optimization division.

• This position focuses on managing, analyzing, and interpreting data to drive informed business decisions.

• The selected candidate will handle large volumes of structured and unstructured data from multiple internal sources to extract insights that improve operational performance.

• Key tasks include data collection, cleaning, validation, visualization, and reporting using analytics tools.

• The job requires a mix of technical proficiency, analytical thinking, and collaboration with cross-functional teams.

• A candidate must have strong attention to detail and the ability to identify discrepancies and patterns within datasets.

• The role also demands a proactive mindset to support decision-making processes across departments like product, operations, and engineering.

• Apart from analysis, the associate will help define data quality standards and assist in maintaining dashboards that showcase key performance indicators (KPIs).

• This role is suitable for individuals looking to begin their careers in analytics or data management within the healthcare technology domain.

• Through hands-on exposure to enterprise-scale data systems, this position provides a solid foundation for a career in analytics, data science, or operations strategy.

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Key Responsibilities

• Gather and organize data from various internal systems, ensuring completeness, accuracy, and consistency.

• Conduct data cleaning and validation to eliminate duplicates and correct inconsistencies.

• Analyze large datasets to uncover insights, trends, and correlations that influence key business outcomes.

• Design, build, and maintain dashboards and reports that provide visibility into organizational metrics.

• Collaborate with cross-functional teams including operations, engineering, and product managers to support data-driven decisions.

• Assist in defining and implementing processes that improve data governance and quality standards.

• Respond to ad-hoc analytical requests and provide reports in a timely manner to stakeholders.

• Maintain detailed documentation of workflows, methodologies, and business rules to ensure reproducibility.

• Identify anomalies and discrepancies in data systems, troubleshooting and escalating when required.

• Support the continuous improvement of internal data management processes to enhance efficiency and scalability.

• Participate in periodic audits to verify compliance with internal and external data standards.

• Work closely with business analysts to translate analytical findings into actionable recommendations.

• Ensure security and confidentiality of sensitive healthcare data in alignment with company policies.

• Contribute to the automation of repetitive data tasks using scripting or visualization tools.

• Collaborate with technology teams to refine database structures and optimize data accessibility.

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Qualifications

• Bachelor’s degree in a relevant field such as Statistics, Mathematics, Computer Science, Data Science, or Engineering.

• Strong analytical and quantitative reasoning skills to interpret data effectively.

• Proficiency in tools like Microsoft Excel and SQL for data management and manipulation.

• Hands-on experience with BI tools such as Tableau, Power BI, or other visualization platforms.

• Understanding of data modeling concepts and relational database design.

• Basic knowledge of programming or scripting in Python or R for data cleaning and analysis.

• Good communication and presentation skills to share findings with non-technical teams.

• Detail-oriented, organized, and capable of managing multiple tasks simultaneously.

• Ability to work independently while also collaborating effectively with team members.

• Familiarity with healthcare data or IT systems is considered a plus.

• Exposure to compliance frameworks and data governance standards is desirable.

• Capability to translate data into business insights that drive measurable results.

• Curiosity to learn and stay updated on the latest trends in analytics and healthcare IT.

• Strong time management and problem-solving abilities.

• Positive attitude toward learning, continuous improvement, and teamwork.

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Additional Info

• The Data Associate role is based in Chennai, India, and is part of the Enterprise and Infrastructure Technology division.

• Employees in this team contribute to ensuring the reliability and efficiency of the company’s digital infrastructure.

• athenahealth encourages employees to challenge themselves, think critically, and bring innovative solutions to complex problems.

• The organization prioritizes employee wellbeing by providing various health, financial, and lifestyle benefits.

• Employees can enjoy flexible work arrangements, collaborative office spaces, and an open culture that promotes growth.

• The company’s “athenistas” work across global teams to ensure seamless communication and alignment on business objectives.

• Diversity, equity, and inclusion are central to athenahealth’s work culture, reflecting its belief that diverse teams create stronger solutions.

• The organization provides mentorship programs, skill-building initiatives, and internal training opportunities.

• The Chennai office, one of the main India locations, offers a modern workplace that encourages creativity and collaboration.

• Employees participate in community engagement activities, hackathons, and cultural events that foster connection and teamwork.

• athenahealth maintains transparency in its processes, ensuring that employees understand how their work impacts the larger mission.

• Its strong leadership and clear strategic direction enable long-term career growth opportunities for team members.

• The company’s success is built upon the contributions of dedicated professionals who share a common goal of improving global healthcare systems.

• This position offers exposure to large-scale data systems and real-world business challenges within a leading healthcare technology firm.

• The combination of technical, analytical, and domain experience gained here serves as a solid foundation for future roles in data science or analytics.

Please click here to apply.