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Open nowPosted 3 days ago

Data Analyst, MMF - Insights & Operational Excellence

novartis256 open roles

Where
Hyderabad (Office)
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Your applicationOpen nowData Analyst, MMF - Insights & Operational Excellencenovartis · Hyderabad (Office)

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. novartis postings stay open a median of 9 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 3 days ago

novartis median: 9 days open

The posting

Job Description Summary

Location: Hyderabad, India #LI-Onsite

Turn data and automation into smarter ways of working. In this role, you’ll partner closely with Finance teams to identify operational challenges and build scalable solutions that improve efficiency, accuracy and decision-making. You’ll combine your expertise in Python, Selenium and robotic process automation with data transformation and emerging artificial intelligence and machine learning capabilities, giving you the opportunity to shape intelligent automation solutions and continuously improve how Finance operates.

Job Description

Key Responsibilities

· Design and implement automation solutions using Python, Selenium and robotic process automation to improve Finance processes.

· Integrate scripts and automation platforms to create efficient, intelligent workflows and support data-driven decision-making.

· Embed artificial intelligence and machine learning capabilities into automated workflows to enable predictive and cognitive solutions.

· Optimize automation pipelines to strengthen scalability, reliability and performance.

· Develop processes to extract, transform and integrate clean, actionable data into automated workflows.

· Explore emerging automation, artificial intelligence and machine learning technologies to continuously improve solutions.

· Communicate technical concepts clearly to stakeholders and maintain robust documentation throughout the automation lifecycle.

Essential Requirements

· Bachelor’s or Master’s degree in Technology or a related discipline.

· Two to four years of hands-on experience delivering automation solutions using Python and Selenium libraries.

· Practical experience developing solutions using robotic process automation technologies.

· Strong Python programming skills, including experience using Selenium libraries for process automation.

· Experience working with Microsoft Power Apps to support business solutions.

· Working knowledge of Structured Query Language and databases for managing and transforming data.

· Ability to communicate technical concepts clearly to non-technical stakeholders and document automation solutions effectively.

· Professional proficiency in English, with the ability to collaborate effectively across teams and stakeholders.

Desirable Requirements

· Exposure to artificial intelligence and machine learning, particularly integrating predictive or cognitive capabilities into automated workflows.

· Experience using PowerShell or VBScript to integrate scripts with automation platforms and enhance process efficiency.

Commitment to Diversity and Inclusion

Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities we serve.

Accessibility and accommodation

Novartis is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the recruitment process, or in order to perform the essential functions of a position, please send an e-mail to [email protected] and let us know the nature of your request and your contact information. Please include the job requisition number in your message.

Skills Desired

Artificial Intelligence (AI), Controls Compliance, Critical Thinking, Database Normalization, Data Cleansing, Data Reporting, Data Visualization, Employee Engagement, Financial Management, Give Feedback, Insight Generation, Interpersonal Relationships, Key Driver Analysis (KDA), Managing Ambiguity, Market Understanding, Planning Analysis, Problem Solving, Process Optimization, Stakeholder Influence

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