Position:
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Data Analytics Specialist (Data Analyst)
Company:
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Fresenius Medical Care
Location:
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Bengaluru, Karnataka, India
Job type:
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Full-time
Job mode:
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Onsite
Job requisition id:
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R0208600
Years of experience:
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0–3 years
Company Description
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Fresenius Medical Care is a globally recognized healthcare company specializing in providing comprehensive services and products to patients with renal diseases.
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With over 10,000 employees worldwide and decades of experience in dialysis care, the company blends innovation, research, and compassion to offer customized treatment plans.
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Their offerings include a wide array of medical products and dialysis treatments that are tailored to individual patient needs, covering both in-center and home dialysis options.
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The company places a strong emphasis on value-based care, aiming to enhance the quality of life for chronically and critically ill patients across the globe.
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It continuously invests in R&D, operational improvements, and healthcare services to maintain its leadership in the dialysis industry.
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Fresenius is also committed to ethical practices and sustainability, ensuring compliance with global standards and internal guidelines.
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Bengaluru serves as one of its operational hubs in India, supporting its global strategy through roles in analytics, IT, and healthcare operations.
Profile Overview
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The Data Analytics Specialist plays a central role in the internal audit and risk management functions by supporting the audit team with data-driven insights.
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The role involves working closely with internal stakeholders to extract and interpret data, identify anomalies, and assess compliance across financial and operational systems.
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Responsibilities are divided across three key pillars: communication, technical data skills, and project support.
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You will help communicate findings, document insights, and present data-backed recommendations to senior management during meetings.
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The position also includes working hands-on with tools such as Python, SQL, Power BI, and other analytics platforms to conduct data extractions and analysis.
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You may also support automation and AI-driven initiatives by implementing anomaly detection techniques and predictive analytics methods.
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The role is ideal for candidates passionate about combining technical skills with audit-focused work to drive compliance and operational effectiveness.
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You will work within a structured environment that values integrity, continuous learning, and quality assurance while adhering to Fresenius Medical Care's corporate policies and ethical standards.
Qualifications
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Bachelor's degree in a relevant field such as Computer Science, Data Analytics, Statistics, Finance, or related disciplines.
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Foundational understanding of data analysis methodologies, preferably applied in a business or audit context.
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Familiarity with tools such as Python, SQL, Power BI, and Celonis. Knowledge of Caseware IDEA and TeamMate+ is a plus.
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Good grasp of basic statistical techniques including regression, clustering, and classification.
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Exposure to or interest in AI applications such as anomaly detection, pattern recognition, and predictive modeling.
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Strong communication skills, both verbal and written, with the ability to translate data into actionable insights.
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Comfort with working in cross-functional teams and supporting project-based tasks with shifting deadlines.
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Detail-oriented and committed to delivering work that meets compliance and audit standards.
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Ability to follow procedures, adhere to policy guidelines, and stay updated with internal quality manuals.
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Freshers or candidates with up to 3 years of experience are encouraged to apply.
Additional Info
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This role supports the global audit and compliance function from the Bengaluru office.
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You will participate in all stages of the internal audit cycle, including planning, execution, reporting, and follow-up.
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Support audit presentations, contribute to audit reports, and ensure high quality documentation in audit tools.
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Maintain a working knowledge of Fresenius Medical Care’s latest internal policies and integrate those practices into daily responsibilities.
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Opportunities to contribute to organization-wide projects such as annual audit planning and periodic quality assessments.
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May be asked to take on additional tasks or ad hoc responsibilities based on project needs.
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The environment is fast-paced, requiring good time management and adaptability.
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Strong focus on maintaining the highest standards of integrity, accuracy, and accountability.
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You will play a key role in ensuring data quality, improving audit effectiveness, and helping drive a culture of compliance within the organization.
Detailed Paraphrased Job Description
Due to length, this has been paraphrased and expanded in bullet point format across all functional areas.
Communication Responsibilities
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Serve as a key liaison between the data analytics team and audit team leads.
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Help structure audit kick-off meetings by presenting clear and concise summaries of data analytics goals.
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Assist in closing meetings by providing a breakdown of trends, outliers, and unusual findings from audit data.
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Maintain regular communication with the functional supervisor to update on project timelines, analytical roadblocks, and discoveries that impact audit conclusions.
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Prepare written summaries and visualizations of your analytical insights to be incorporated into official audit reports.
Technical Data Analytics Responsibilities
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Use software like SQL and Python to design queries and scripts that pull relevant datasets for internal audits.
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Clean and preprocess raw data to eliminate inconsistencies, duplicates, and irrelevant entries.
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Apply visualization tools such as Power BI to convert numerical data into easy-to-understand charts and dashboards.
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Leverage Celonis to understand business process flows and identify inefficiencies or breaches in compliance.
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Conduct exploratory data analysis to uncover patterns, correlations, and statistical anomalies within financial transactions or operational logs.
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Use machine learning methods such as supervised and unsupervised learning for predictive analytics and anomaly detection.
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Implement models that detect potential red flags, helping auditors focus on high-risk transactions.
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Ensure all analytics activities are well documented in tools like TeamMate+, creating a trail of evidence that supports each audit observation.
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Review analytics work conducted by other internal departments and verify alignment with organizational goals and data governance rules.
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Use insights generated during the analysis to guide improvements in controls, processes, and risk mitigation strategies.
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Contribute to risk-based audit planning by identifying emerging risk factors using data trends.
Project and Process Responsibilities
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Collaborate with the lead auditor through each audit lifecycle phase from start to finish.
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Provide hands-on support in compiling initial data for audits, conducting assessments, and preparing post-audit summaries.
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Participate in company-wide initiatives to improve the efficiency and accuracy of audit processes using data and automation.
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Assist in the preparation of quality metrics and compliance dashboards for internal stakeholders.
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Serve as a team player ready to take on new assignments as projects evolve or expand in scope.
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Engage in post-audit evaluations to improve future audit methodologies, especially in data-heavy areas.
Compliance and Policy Responsibilities
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Stay informed of updates to company-wide SOPs and ensure that all data handling and documentation follow those policies.
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Adhere to industry best practices related to data privacy, financial auditing, and legal standards.
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Ensure that audit conclusions derived from data are grounded in valid methodologies and documented evidence.
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Be vigilant about ethical data use, avoiding bias or misinterpretation during data analysis.
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Participate in any training sessions or internal communications related to policy updates or ethical guidelines.
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Maintain a high degree of confidentiality with all audit-related information.
Please click here to apply.
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