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Fresenius Medical Care is hiring for a fresher entry level Data Analyst role in India




Position:

  • Data Analytics Specialist (Data Analyst)

Company:

  • Fresenius Medical Care

Location:

  • Bengaluru, Karnataka, India

Job type:

  • Full-time

Job mode:

  • Onsite

Job requisition id:

  • R0208600

Years of experience:

  • 0–3 years


Company Description

  • Fresenius Medical Care is a globally recognized healthcare company specializing in providing comprehensive services and products to patients with renal diseases.

  • 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.

  • 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.

  • 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.

  • It continuously invests in R&D, operational improvements, and healthcare services to maintain its leadership in the dialysis industry.

  • Fresenius is also committed to ethical practices and sustainability, ensuring compliance with global standards and internal guidelines.

  • Bengaluru serves as one of its operational hubs in India, supporting its global strategy through roles in analytics, IT, and healthcare operations.


Profile Overview

  • 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.

  • The role involves working closely with internal stakeholders to extract and interpret data, identify anomalies, and assess compliance across financial and operational systems.

  • Responsibilities are divided across three key pillars: communication, technical data skills, and project support.

  • You will help communicate findings, document insights, and present data-backed recommendations to senior management during meetings.

  • 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.

  • You may also support automation and AI-driven initiatives by implementing anomaly detection techniques and predictive analytics methods.

  • The role is ideal for candidates passionate about combining technical skills with audit-focused work to drive compliance and operational effectiveness.

  • 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

  • Bachelor's degree in a relevant field such as Computer Science, Data Analytics, Statistics, Finance, or related disciplines.

  • Foundational understanding of data analysis methodologies, preferably applied in a business or audit context.

  • Familiarity with tools such as Python, SQL, Power BI, and Celonis. Knowledge of Caseware IDEA and TeamMate+ is a plus.

  • Good grasp of basic statistical techniques including regression, clustering, and classification.

  • Exposure to or interest in AI applications such as anomaly detection, pattern recognition, and predictive modeling.

  • Strong communication skills, both verbal and written, with the ability to translate data into actionable insights.

  • Comfort with working in cross-functional teams and supporting project-based tasks with shifting deadlines.

  • Detail-oriented and committed to delivering work that meets compliance and audit standards.

  • Ability to follow procedures, adhere to policy guidelines, and stay updated with internal quality manuals.

  • Freshers or candidates with up to 3 years of experience are encouraged to apply.


Additional Info 

  • This role supports the global audit and compliance function from the Bengaluru office.

  • You will participate in all stages of the internal audit cycle, including planning, execution, reporting, and follow-up.

  • Support audit presentations, contribute to audit reports, and ensure high quality documentation in audit tools.

  • Maintain a working knowledge of Fresenius Medical Care’s latest internal policies and integrate those practices into daily responsibilities.

  • Opportunities to contribute to organization-wide projects such as annual audit planning and periodic quality assessments.

  • May be asked to take on additional tasks or ad hoc responsibilities based on project needs.

  • The environment is fast-paced, requiring good time management and adaptability.

  • Strong focus on maintaining the highest standards of integrity, accuracy, and accountability.

  • 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

  • Serve as a key liaison between the data analytics team and audit team leads.

  • Help structure audit kick-off meetings by presenting clear and concise summaries of data analytics goals.

  • Assist in closing meetings by providing a breakdown of trends, outliers, and unusual findings from audit data.

  • Maintain regular communication with the functional supervisor to update on project timelines, analytical roadblocks, and discoveries that impact audit conclusions.

  • Prepare written summaries and visualizations of your analytical insights to be incorporated into official audit reports.

Technical Data Analytics Responsibilities

  • Use software like SQL and Python to design queries and scripts that pull relevant datasets for internal audits.

  • Clean and preprocess raw data to eliminate inconsistencies, duplicates, and irrelevant entries.

  • Apply visualization tools such as Power BI to convert numerical data into easy-to-understand charts and dashboards.

  • Leverage Celonis to understand business process flows and identify inefficiencies or breaches in compliance.

  • Conduct exploratory data analysis to uncover patterns, correlations, and statistical anomalies within financial transactions or operational logs.

  • Use machine learning methods such as supervised and unsupervised learning for predictive analytics and anomaly detection.

  • Implement models that detect potential red flags, helping auditors focus on high-risk transactions.

  • Ensure all analytics activities are well documented in tools like TeamMate+, creating a trail of evidence that supports each audit observation.

  • Review analytics work conducted by other internal departments and verify alignment with organizational goals and data governance rules.

  • Use insights generated during the analysis to guide improvements in controls, processes, and risk mitigation strategies.

  • Contribute to risk-based audit planning by identifying emerging risk factors using data trends.

Project and Process Responsibilities

  • Collaborate with the lead auditor through each audit lifecycle phase from start to finish.

  • Provide hands-on support in compiling initial data for audits, conducting assessments, and preparing post-audit summaries.

  • Participate in company-wide initiatives to improve the efficiency and accuracy of audit processes using data and automation.

  • Assist in the preparation of quality metrics and compliance dashboards for internal stakeholders.

  • Serve as a team player ready to take on new assignments as projects evolve or expand in scope.

  • Engage in post-audit evaluations to improve future audit methodologies, especially in data-heavy areas.

Compliance and Policy Responsibilities

  • Stay informed of updates to company-wide SOPs and ensure that all data handling and documentation follow those policies.

  • Adhere to industry best practices related to data privacy, financial auditing, and legal standards.

  • Ensure that audit conclusions derived from data are grounded in valid methodologies and documented evidence.

  • Be vigilant about ethical data use, avoiding bias or misinterpretation during data analysis.

  • Participate in any training sessions or internal communications related to policy updates or ethical guidelines.

  • Maintain a high degree of confidentiality with all audit-related information.


Please click here to apply.


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