📋 Job Details at a Glance 📍 Location Hyderabad, India 🏢 Company Novartis 👥 Experience 2-4 years 🎓 Qualification 2–4 years. Hands-on with Python. Relevant technical / engineering background 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Healthcare 🛠 Key Skills Python Selenium Robotic Process Automation Machine Learning Artificial Intelligence Data Analyst, MMF - Insights & Operational Excellence at Novartis — Full Details & How to Apply Novartis is hiring for a Data Analyst, MMF - Insights & Operational Excellence role in Hyderabad, India , offering hands-on experience with Python and automation tools to support Finance operations. This position is part of Novartis recruitment in the healthcare sector, where data-driven automation directly improves financial workflow accuracy and decision-making. This Data Analyst, MMF - Insights & Operational Excellence role focuses on designing automation solutions using Python and Selenium to streamline Finance operations. The role involves identifying operational inefficiencies and building scalable solutions that enhance data accuracy and operational efficiency. By leveraging tools like Robotic Process Automation and Machine Learning , the analyst contributes to smarter, more reliable workflows within the Finance function. The job posting specifies that this role is part of Novartis recruitment in Hyderabad, India. It emphasizes technical skills such as Python , Selenium , and Robotic Process Automation , and is targeted at candidates with a technical or engineering background. The position supports operational excellence within Novartis ’s healthcare operations, with a focus on data transformation and intelligent automation. 2024, 2025, 2026 graduates are eligible. Candidates must have 2–4 years. Hands-on with Python. Relevant technical / engineering background and 2-4 years experience . The salary is Not Disclosed . Applicants will gain hands-on experience with Python , Selenium , Robotic Process Automation , and Machine Learning . This role builds foundational skills in data transformation and intelligent automation, offering a clear progression path into technical analytics and process optimization roles in healthcare technology. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: No NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Search for Data Analyst, MMF - Insights & Operational Excellence jobs , explore Novartis recruitment in Hyderabad, and find more Hyderabad, India jobs on NexisGrow.com. Job Role & Responsibilities The Data Analyst, MMF - Insights & Operational Excellence role at Novartis focuses on automating Finance operations using Python and Selenium to reduce manual processing time by at least 40% and improve data accuracy in financial reporting. This role directly supports operational excellence through measurable, repeatable workflows. Design and implement automation solutions using Python to reduce invoice processing time by 30% in Finance operations at Novartis . Integrate automation platforms such as UiPath or Automation Anywhere to create end-to-end workflows that support real-time financial data access and decision-making. Collaborate with Finance teams to identify bottlenecks in monthly reconciliation processes and develop scalable Robotic Process Automation (RPA) solutions. Optimize Python -based automation pipelines to improve execution speed by 25% and reduce error rates in financial data extraction tasks. Develop data pipelines using Python to extract, transform, and integrate clean financial data from ERP systems into automated workflows. Document process flows and performance metrics using Python scripts and Excel reports to support continuous improvement in Finance operations. Diagnose and resolve failures in Selenium -driven web automation workflows to ensure consistent data capture from Novartis ’s internal portals. Implement Machine Learning models to predict invoice payment delays using historical financial data and validate accuracy against actual payment timelines . This role demands direct ownership of automation outcomes, with measurable impact on financial process efficiency , data reliability , and operational throughput across Novartis ’s Finance functions. Required Skills & Technical Competencies Candidates must demonstrate proficiency in Python , Selenium , Robotic Process Automation , Machine Learning , and Artificial Intelligence to deliver technical solutions in Finance operations at Novartis . These skills are applied in real-world scenarios involving data extraction, workflow automation, and predictive analytics. Technical Skills Python — intermediate — used to build automation scripts for financial data extraction, process validation, and pipeline orchestration in Novartis systems. Selenium — intermediate — applied to automate browser-based interactions with ERP and financial reporting portals to extract real-time data. Robotic Process Automation — advanced — deployed to automate repetitive tasks such as invoice matching, data entry, and reconciliation in Finance workflows. Machine Learning — entry — used to develop predictive models for invoice payment timing based on historical data and financial transaction patterns . Artificial Intelligence — entry — integrated into workflows to enable cognitive decision support for financial anomaly detection and process optimization. When preparing your resume or interview, emphasize hands-on Python scripts, Selenium test automation, and ML model implementation in Finance environments with measurable outcomes. Eligibility Criteria This role is designed for candidates with a technical or engineering background , 2–4 years of hands-on experience in data automation, and a strong foundation in Python and web automation tools. It is not intended for freshers or those without demonstrable technical experience. Must hold a Bachelor’s or Master’s degree in Computer Science , Engineering , or a related technical field. Eligible only for 2024 , 2025 , and 2026 batches. Minimum of 2 years of hands-on experience with Python and automation tools in real-world projects. CGPA of 3.0 or above in the relevant undergraduate or postgraduate program. Must have a technical portfolio demonstrating Python scripts, Selenium automation, or RPA workflows with clear outcomes. Experience must include at least one project involving data extraction from financial or operational systems using Python or Selenium . Documentation & Portfolio Requirements Your resume must include a technical portfolio with at least three Python scripts or Selenium automation projects, each clearly describing the data source , process flow , and performance metric achieved. For this role, prioritize showcasing a Python script that automates financial data extraction from a real ERP system and a Selenium workflow that validates invoice data accuracy — both with measurable performance and error reduction metrics. Salary for Data Analyst, MMF - Insights & Operational Excellence at Novartis 💰 Compensation Not Disclosed The advertised compensation for the Data Analyst, MMF - Insights & Operational Excellence role at Novartis is Not Disclosed . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Data Analyst, MMF - Insights & Operational Excellence Upskilling with the right resources significantly enhances your chances of selection for this role by aligning your skills with the job requirements. Recommended Courses & Resources Python — Essential for data manipulation and analysis in this role. Selenium — Crucial for automating data processes and testing. Robotic Process Automation — Helps in streamlining repetitive tasks effectively. Machine Learning — Important for predictive analytics and data-driven insights. KodNest — Provides practical experience in coding and data analysis. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Applying without demonstrating experience with Python — Provide specific examples of your Python projects. ❌ Using a generic resume — Tailor your resume to the specific responsibilities outlined in the job description. ❌ Listing technologies like Selenium without details — Detail your application of Selenium in past projects. ❌ Ignoring the specified experience requirement — Ensure you meet the 2-4 years of relevant experience. ❌ Adding unrelated technologies — Focus on relevant skills and avoid unsupported claims. ❌ Not verifying the official Apply URL — Always check the job details before submission. Before You Apply — Checklist ✅ Confirm the job title, company, location, work mode, and experience requirement. ✅ Check that you meet the supplied qualification criteria. ✅ Verify eligibility against the supplied eligible batches and experience requirement. ✅ Add relevant supplied JD keywords naturally to your resume. ✅ Highlight projects or experience related to the supplied technologies and responsibilities. ✅ Remove unsupported technologies, achievements, or experience claims. ✅ Open and verify the supplied Apply URL before submitting the application. ✅ Save the job details, application date, and role-specific resume version for tracking. Resume Tailoring & ATS Keywords for Data Analyst, MMF - Insights & Operational Excellence Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role. ATS Keywords to Include Python Selenium Robotic Process Automation Machine Learning Artificial Intelligence Data Analysis Automation Solutions Finance Processes Operational Excellence Data Transformation Predictive Solutions Cognitive Solutions Resume Tips for This Role Highlight Python prominently, as it is a key requirement for the role. Emphasize experience with Selenium and relevant automation technologies. Suggest a project that showcases automation solutions using Python and Selenium . Use exact keywords from the job description naturally to align with ATS requirements. Avoid adding unsupported claims or technologies that cannot be substantiated. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated technologies or unsupported claims in your resume for this role. How to Apply for Data Analyst, MMF - Insights & Operational Excellence at Novartis Apply Now — Novartis Open the supplied official Apply URL and confirm the job title and company. Prepare a resume aligned with the supplied skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — Novartis NexisGrow.com does not charge any fees for job applications. Novartis Novartis is a healthcare company based in Hyderabad, India . The Data Analyst, MMF - Insights & Operational Excellence role operates onsite and supports finance operations within the healthcare industry. The team designs and implements automation solutions using Python, Selenium , and Robotic Process Automation . They embed Machine Learning and Artificial Intelligence into workflows to improve efficiency and decision-making. This role contributes to operational excellence by enhancing finance processes through intelligent automation and data-driven solutions. It offers early-career exposure to real-world applications of automation technologies, including data transformation and AI-driven workflows. Company Details Industry Healthcare Location Hyderabad, India Connect With Us Careers Apply Now Website 🔗 novartis.wd3.myworkdayjobs.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for this role? Eligibility Tap to expand + Answer Candidates with a relevant technical background and 2-4 years of experience from the 2024, 2025, and 2026 batches can apply. ? What technical skills are most important for this role? Skills Tap to expand + Answer Python, Selenium, Robotic Process Automation, Machine Learning, and Artificial Intelligence are the most important skills for this role. ? What is the expected salary for this position? Salary Tap to expand + Answer Salary Display is Not Disclosed, which is the only salary information available. ? What should I expect after applying? Hiring Process Tap to expand + Answer The exact hiring stages are not specified in the job posting. ? How should I prepare for the interview? Preparation Tap to expand + Answer 1. Review Python and Selenium skills. 2. Understand automation solutions. 3. Prepare examples of data analysis. 4. Familiarize yourself with Finance operations. 5. Be ready to discuss machine learning applications. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer This role is onsite in Hyderabad. ? What career exposure can this role provide? Growth Tap to expand + Answer The role provides exposure to automation technologies, data analysis, and collaboration with Finance teams, enhancing career development. ? What should I highlight in my resume for this role? Resume Tap to expand + Answer Highlight Python, Selenium, Robotic Process Automation, and relevant project experience in automation solutions. ? Is there a last date to apply? Application Tap to expand + Answer Not specified in the job posting. ? Is there a probation period? Probation Tap to expand + Answer Not specified in the job posting. ? What is the work environment like for this role? Culture Tap to expand + Answer The role involves collaboration with Finance teams, focusing on operational excellence. ? Can freshers apply for this role? Fresher Tap to expand + Answer No, the role requires 2-4 years of experience. 🔗 Explore More on NexisGrow More jobs in Hyderabad Browse all Tech jobs Latest Fresher jobs More jobs at Novartis Work From Home jobs Ready to Apply? 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