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Senior Advanced Analytics Analyst (AI) Grade: 3.2 - Remote

Biogensys
Washington, DC Remote Full Time
POSTED ON 12/7/2025 CLOSED ON 12/24/2025

What are the responsibilities and job description for the Senior Advanced Analytics Analyst (AI) Grade: 3.2 - Remote position at Biogensys?

We are hiring a Senior Advanced Analytics Analyst (AI) Grade: 3.2 Remote for one of our clients.

Job Description

You are a dynamic advanced analytics analyst interested in challenging the status quo on deploying enterprise data products. With AI models and underlying data visualizations for data consumption. You are a valued influencer and a thought leader who is motivated to contribute to an AI focused Digital data organization. You have a keen eye for improvement opportunities and the demonstrated ability to deliver solutions that would enable data visualization, analytics, and date sciences. You are inquisitive, motivated, enthusiastic and self-leader.

The ideal candidate will possess a strong background in advanced analytics & AU, great leadership abilities, and a passion for driving innovation through date-driven solutions. You will play a critical role in sharing our advanced analytics & AI digital strategy with a focus on commercial performance analytics & insights, implementation best practices, and driving strategic initiatives to ensure the reliability, scalability continuously improving & challenging the status quo.

Our vision for digital, data analytics and AI

  • Join us on our journey in enabling Sanofi's digital transformation through an AI first organization. This means:
  • AI factory Versatile Teams operating in cross functional pods: Utilizing digital and date resources to develop AI products, bridging data management, AI and product development skills to products, programs, and projects to create an agile, fulfilling, and meaningful work environment.
  • Leading edge Tech Stack: Experience building products that will be deployed globally on a leading-edge tech stack
  • World Class Mentorship and Training: Working with renowned leaders and academics in machine learning to further develop your skillsets.

Main Responsibilities

  • As a data champion, look to implement analytical models on data sets to uncover insights.
  • Validate business requirements, defining global standards for data models, key performance indicators and measures, then implementing the global standards within our products for business units and markets.
  • Create and implement repeatable analytics models.
  • Tell a story with date, hosting co crating sessions to ensure needs are will understood and features are well articulated, producing mockups as required to quickly iterate on use feedback.
  • Understand the data landscape that enables the enterprise solutions, with the ability to align on global standards across multiple stakeholder groups.
  • A critical and analytical thinker, and a creative problem solver who can navigate difficult discussions and ambiguity to arrive at design solutions.
  • Understand and implement enterprise data governance, data architecture and data management standards.
  • Collaborate with business stakeholders to understand the business requirements, translating them to data, analytics and AI capabilities.
  • Partner with Product Owners and Scrum Masters and be able to work in agile pods.
  • Partner with Data Engineers and Data Scientists to create data products.

Key Functional Requirements & Qualifications

  • 5-10 years' experience in advanced analytics & AI preferably with experience in data and AI systems/platforms with a focus on patient analytics.
  • Strong knowledge working within Agile environment.
  • Strong knowledge deploying analytical models using software development tools like GitHub
  • Interest in healthcare and pharmaceutical data.
  • Experience in data visualization and analytics solutions deployment in patient advanced analytics and AI scope
  • Experience in building data pipelines with date quality metrics in place with a focus on patient analytics.

Key Technical Requirements & Qualifications

  • A university/ college degree graduate in disciplines of engineering, computer science, mathematics, data science or related fields. MBA a plus.
  • Strong technical knowledge in building analytical models, using scripting languages like python, and querying languages like SQL is preferred.
  • Knowledge of data discovery tools like informatica DQ, Axon is preferred,
  • Knowledge of data platform tools like Snowflake and cloud platforms such as AWS
  • Strong statistical background.

Additional Information

  • Location: US
  • Up to 30% of travel expected.
  • Job type: Permanent.

About Us

We are specialized in recruiting and deliver the best professional talent of industry and we are committed to deliver best experience for our clients and job seekers. With over two decades of experience in the recruitment industry, we proudly help you to find the next job that matches your professional skills. Our team understands your needs or requirement before starting the recruitment, that enables to find the high quality of talent with high success rate of talent delivery, keeps us continue to be the best in the industry. By responding to this job posting, you are consenting to receive text/SMS messages from us. Thank you.
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Salary.com Estimation for Senior Advanced Analytics Analyst (AI) Grade: 3.2 - Remote in Washington, DC
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