Associate Director, Business Intelligence Architect
Armonk, United States
Full Time Mid-level / Intermediate USD 154K - 252K
Regeneron
Discover how Regeneron (NASDAQ: REGN) harmonizes biology and technology to create life-changing medicines. Join our team and explore clinical trials.The Associate Director, Business Intelligence Architect will play a pivotal role in developing and implementing advanced analytics strategies across global development and driving data-driven decision-making processes at the portfolio, program and functional level by leveraging advanced analytics, data ingesting/cleansing/modeling, and visualization techniques. As the amount of data available continues to grow and cross-department alignment and dependency increase, this individual will be responsible for enhancing how we leverage our data to support creating, developing and delivering metrics and analytics related to the operational performance of running clinical trials along with developing use cases for Artificial Intelligence (AI) within Business Intelligence tools, supporting advanced analytics initiatives, and bridging the gap between technical and business perspectives. The ideal candidate will have expertise in Databricks and Tableau, with a proven ability to quickly understand complex data sets and identify meaningful connections between data assets. In addition, there will be significant hands-on coding involved in making this position successful.
A typical day in this role looks like:
Data Modeling and Analytics:
- Design, develop, and maintain scalable data models to support Tableau visualizations and advanced analytics initiatives and align with one source data hub initiative and strategy
- Collaborate with cross-functional teams to identify and implement predictive and prescriptive analytics solutions
- Ensure data integrity, quality, and consistency across all analytics processes and assets
- Lead initiatives with IT around data transformation toolsets, data(base/lake) platforms to support the management/build out of our analytics data layer
Data Asset Management:
- Quickly understand and analyze complex data sets to identify relationships and connections between data assets
- Collaborate with data engineering teams to optimize data pipelines and workflows
- Be a strategic partner to the data governance team around data strategy development and execution
- Collaborate with the data governance team to ensure data assets are properly structured and documented to align to data strategy
Visualization and Reporting:
- Create intuitive and impactful visualizations using business intelligence and advanced analytics tools to communicate data insights effectively and efficiently
- Collaborate with DADS team to support dashboards and report development and timely diagnose and resolve data issues
Advanced Analytics Support:
- Provide analytical support for strategic initiatives and ad-hoc requests, including accelerated identification of respective data, ingestion and modeling to connect components to provide insights
- Partner with data scientists and analysts to ensure alignment on methodologies and outcomes and help bring enhanced capabilities to the department and organization
Communication and Collaboration:
- Act as a liaison between engineering/data enablement teams and DADS team and business stakeholders, ensuring alignment on goals and deliverables
- Clearly communicate technical concepts in business terms and vice versa to ensure mutual understanding
AI Integration and Use Case Development:
- Identify and implement AI use cases, including identifying opportunities to combine with data from business intelligence environments to enhance decision-making capabilities and provide all inclusive data access to business users
- Develop and document AI use cases to support advanced, proactive analytics that align with business objectives and provide measurable value.
This role may be for you if:
- Hands-on experience with Databricks for data engineering and analytics workflows
- Proficiency in Tableau for data visualization and dashboard creation
- Experience with programming languages such as Python,R and SQL
- Strong analytical and problem-solving skills with the ability to quickly understand and interpret complex data sets.
- Excellent communication skills to translate technical insights into business value.
- Knowledge of advanced analytics techniques, including machine learning, statistical modeling, and data mining/profiling
- Collaborative and team-oriented mindset
- Ability to work in a fast-paced environment and manage multiple priorities effectively
- Strong attention to detail and commitment to delivering high-quality work
In order to be considered qualified for this role, minimum of a Bachelors Degree and 10+ years of relevant experience. A Masters degree degree with 8+ years of relevant experience can be considered.
Does this sound like you? Apply now to take your first step towards living the Regeneron Way! We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levels!
Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.
For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.
Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.
Salary Range (annually)
$154,800.00 - $252,800.00Tags: Business Intelligence Databricks Data governance Data Mining Data pipelines Data strategy Data visualization Engineering Machine Learning Pipelines Python R SQL Statistical modeling Statistics Tableau
Perks/benefits: Career development Equity / stock options Health care Salary bonus Wellness
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