Data Analyst II T500-9288 @ Elevatelife Products

Job Description

Key Responsibilities: Data management: Managing data assets across the organization, including data models, metadata, and data dictionaries. Responsible for applying and utilization of FLAIR (Findability, Lineage, Accessibility, Interoperability, and Reusability) across domain specific data products. Data quality: Ensuring that data is accurate, complete, and consistent by implementing data quality rules and monitoring data quality metrics. Data governance: Developing and implementing data governance policies, procedures, and standards to ensure compliance with regulatory requirements and industry best practices. Data architecture: Collaborating with data architects to design and implement data structures that support business needs and align with organizational standards. Data security: Ensuring the security of data by implementing data access controls, monitoring data access logs, and working with security teams to identify and mitigate data security risks. Data lineage. Documenting data lineage and data flow across systems to support data lineage analysis and compliance reporting. Data integration: Collaborating with integration teams to ensure that data is integrated and shared across systems in a consistent and secure manner. Comfortable working in a fast-paced environment with minimal oversight Mentors other team members effectively to unlock full potential Prior experience working in an Agile/Product based environment Provides strategic feedback to vendors on service delivery and balances workload with vendor teams Qualifications & Experience 3-5 year proven working experience as a data steward and/or Data management professional with a focus on standards, governance, and utilization 1-2 years hands on experience with Clinical Data standards (SDTM, CDISC, ADaM etc.), including Health authority regulatory and privacy guidance (21 CFR part 11, GDPR etc.) 1-2 years of data product development exposure is preferred. Strong knowledge of and experience with reporting packages (Tableau, Spotfire, SAS, R etc), databases (SQL, PostgreSQL etc), programming (Python, R, SAS, Javascript, Glue etc.) Familiarity with cloud-based data technologies on AWS, Azure, or Google Cloud Platform would be a plus. Must also have a strong attention to detail and be able to manage multiple priorities in a fast-paced environment. Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy Excellent communication and collaboration skills Functional knowledge or prior experience in Lifesciences Research and Development domain is a plus Experience and expertise in establishing agile and product-oriented teams that work effectively with teams in US and other global BMS site. Initiates challenging opportunities that build strong capabilities for self and team Demonstrates a focus on improving processes, structures, and knowledge within the team. Leads in analyzing current states, deliver strong recommendations in understanding complexity in the environment, and the ability to execute to bring complex solutions to completion. BMS Hyderabad is an integrated global hub where our work is focused on helping patients prevail over serious diseases by building sustainable and innovative solutions. This important science, technology, and innovation center will support a range of technology and drug development activities that will help us usher in the next wave of innovation. #HYDIT #LI-Hybrid

Employement Category:

Employement Type: Full time
Industry: Pharma / Biotech
Role Category: Sales / BDEquity Research
Functional Area: Not Applicable
Role/Responsibilies: Data Analyst II T500-9288

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Keyskills:   Data management Data quality Data governance Data architecture Data security Data integration Databases Programming Analytical skills Process improvement Data lineage AgileProduct based environment Clinical Data standards Health authority regulatory privacy guidance Data product development Reporting packages Cloudbased data technologies Attention to detail Communication collaboration skills Lifesciences Research Development Establishing agile productoriented teams Structural improvement Knowledge improvement