Senior Analyst - Business Analytics

• Location Hyderabad% of travel expected Travel required as per business need

About the job

We are looking for a senior analyst to support our Business Analytics team. Robust analytics is a priority for our businesses, as the product potential has major implications to a wide range of disciplines. It is essential to have someone who understands and aspires to implement innovative analytics techniques to drive our insights generation across GBUs.

Self Performance

• Project execution, ensuring quality and timelines

• Insight generation and storyboarding

• Work to develop industry-leading analytics capabilities

• Employ tools, technologies, and processes to constantly improve quality and productivity

• Manage projects efficiently and effectively

Processes

• Contribute to overall quality enhancement by ensuring high standards for the outputs produced by the team

• Secure adherence to compliance procedures and internal/operational risk controls in accordance with all applicable standards

• Use latest tools/technologies/methodologies and partner with internal teams to continuously improve data quality and availability by building business processes that support global standardization

Stakeholder Management

• Work collaboratively with the stakeholder teams to prioritize work and ensure timely delivery of requests

• Maintain effective relationship with the end stakeholders within the allocated GBU and tasks, with an end objective to develop analyses as per requirements

Technical skills

• Expert in end-to-end delivery of Marketing Mix Modelling projects

• Proficiency in statistical concepts like hypothesis testing, regression analysis, time series analysis, and probability theory

• Understanding of mathematical concepts like linear algebra, calculus, and optimization

• Expertise in machine learning algorithms (supervised, unsupervised, and reinforcement learning).

• Experience with data mining techniques like clustering, classification, and association rule mining.

• Knowledge of feature engineering, model selection, and hyperparameter tuning.

• Fluency in programming languages like Python (with libraries like NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch)

• Ability to write efficient and clean code for data manipulation, analysis, and model development.

• Strong analytical skills to identify patterns, trends, and anomalies in data.

• Ability to break down complex problems into smaller, manageable steps.

• A curious and inquisitive mindset to explore data and discover new insights.

• Strong project management abilities; capable of prioritizing and leading multiple projects simultaneously

• Working experience of Python and SQL

• Excellent planning, design, project management and documentation skills

• Excellent management of customer expectations, listening, and multi-tasking skills.

• Experience with pharmaceutical datasets (e.g. IQVIA, Symphony, Komodo, Veeva, Salesforce)

• An aptitude for problem solving and strategic thinking

• Ability to synthesize complex information into clear and actionable insights

• Proven ability to work effectively across all levels of stakeholders and diverse functions

• Solid understanding of pharmaceutical development, manufacturing, supply chain, sales and marketing functions

Good-to-have skills

• Experience with cloud platforms like AWS, GCP, or Azure and knowledge of cloud-based data services and tools.

• Experience with machine learning operations, including model deployment, monitoring, and retraining.

• Understanding of data pipelines, data warehousing, and data lakes.

• Proficiency in data visualization tools like Tableau, Power BI, or Python libraries (Matplotlib, Seaborn).

Experience 3-6 years of relevant work experience with solid understanding of principles, standards, and best practices of Pharma Commercial Analytics, including Business Analytics

Education Bachelors or Masters degree in areas such as Information Science/Operations/Management/Statistics/Decision Sciences/Engineering/Life Sciences/ Business Analytics or related field

Soft skills Strong learning agility; Ability to manage ambiguous environments, and to adapt to changing needs of the business; Good interpersonal and communication skills; strong presentation skills is a must; Team player who is curious, dynamic, result oriented; Ability to operate effectively in an international matrix environment, with ability to work across time zones; Demonstrated leadership and management in driving innovation and automation leveraging advanced analytical techniques

Languages Excellent English communication skills written and spoken.