Job description

Summary The Senior Data Analyst, DDIT US&I role at Novartis role involves collaborating with stakeholders to design and deliver Data & Analytics solutions that meet quality and performance requirements. The position requires analyzing complex data sets to identify trends and generate reports that support decision-making. Key responsibilities include ensuring consistency and traceability between product requirements and functional specifications, adhering to security and compliance policies, and supporting internal IT systems and documentation standards. The role also demands strong analytical, communication, and collaboration skills, along with technical expertise in cloud platforms, data analysis tools, and various programming languages.

Role Purpose:

Work with stakeholders from different departments to create the detailed DDIT Data & Analytics solution/service design, based on functional specifications to meet quality and performance requirements and technical constraints.
Contribute to improve local/simple business processes, products, services, and software through data analysis.
Engage with business representatives and support the appropriate DDIT teams and Functions to develop business requirements and deliver data-driven recommendations to improve efficiency and add value.
Data Analysis: Examine complex data sets, identify patterns and trends, and generate reports to aid in decision-making.

Key Responsibilities:

Contribute to create consistency and traceability between D&A Products requirements, functional specifications, and testing & validation. Support validation and testing as appropriate and ensure adherence to Security and Compliance policies and procedures within Service Delivery scope.
Support with internal IT systems and documentation requirements, standards (including quality management and IT security), regulatory environments / requirements (if applicable), DDIT Service Portfolio and with industry best practices in leveraging technologies for the business and taking advantage of reusable products, solutions and services wherever applicable.
Responsible for detailed design, development and delivery of Data & Analytics solutions for a given project / use case, in alignment defined solution architecture, and relate the detailed process designs necessary to operate the software/service on a day-to-day basis.
Ensure designs produced adhere to architectural roadmap and support the development, execution and operations of software/service.
Ensure peer review and sign off detailed designs by business.
Ensure that detailed designs adhere to solution architecture design (i.e. high level conceptual design) and are traceable to functional as well as non-functional requirements in functional specification
Ensure the overall user experience is taken into account when designing new solutions and services
Take accountability to ensure adherence with Security and Compliance policies and procedures within Service Delivery scope

Key Performance Indicators:

Achieved targets in in Enterprise business case contribution, KPIs, customer satisfaction and innovation measures.
Role model with highest standards of professional conduct in leading the business capability area in line with the new IT operating model.
Deployment of digital platforms and services at scale to deliver the digital strategy.
Feedback on dedicated phases for Project execution (quality, time).
Business process documentation up to date (specific scope).

Skills:

Data product-centric approach to defining solutions. Collaborate with business in gathering Requirements, grooming product backlogs, driving delivery, and ongoing Data product enhancements. Requirements Definition & Management, Analytical Thinking, and Financial Modelling, Proactive Thinking, Effective Communication.
Agile delivery experience managing multiple concurrent delivery cycles.
Fundamental technical delivery experience across cloud platforms including AWS, Databricks and Snowflake, SQL, and data analysis tools (Python, R), Power-BI
Strong understanding of Big Data and descriptive vs. prescriptive Analytical frameworks.
Extensive development skills across a varietly of languages including Python, Java, SQL and DevSecOps constructs.
Familiatiry with design and integration patterns.
Functional knowledge of MLOps and product life cycle management
Analytical Skills: Strong analytical and problem-solving skills to interpret complex data sets.
Communication: Excellent communication skills to effectively present data insights to stakeholders.
Attention to Detail: High attention to detail to ensure data accuracy and quality.
Collaboration: Ability to work collaboratively with cross-functional teams.

Experience:

Working experience within the pharmaceutical industry is preferred, Relationship Management, Leveraging digital technology / big data, Multi-national global experience, Interactions with senior management, Influencing without authority, Collaborating across boundaries.
Education: Bachelor s degree in computer science, engineering, statistics, or a related field.

Professional Experience:

University Degree and/or relevant experience and professional qualifications.
4-6 years of experience in data analysis or a related field.
Proven track record of working with large data sets and delivering data-driven insights.
Experience with data visualization and reporting tools.