Data Product Tester I - Hyderabad, India - Bristol Myers Squibb

Bristol Myers Squibb

Verified Company

Hyderabad, India

1 week ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

Working with Us
Challenging. Meaningful. Life-changing. Those aren't words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department.

From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it.

You'll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams rich in diversity.

Take your career farther than you thought possible.

Key Responsibilities:

Responsible for analyzing, testing, and deploying data products that meet the needs of stakeholders
Data analysis: Analyzing data products to identify areas for improvement and opportunities for new features or enhancements. This involves analyzing usage data, customer feedback, and other metrics to inform product development decisions.
Product design and development: Working with product managers and engineers to design and develop data products that meet the needs of stakeholders. This includes defining product requirements, creating user stories, and developing product roadmaps.
Product testing and validation: Testing data products to ensure that they are accurate, reliable, and meet the needs of stakeholders. This includes developing test cases, executing tests, and analyzing test results to identify and resolve issues.
Data governance: Ensuring that data products are compliant with data governance policies and procedures. This involves working with data governance teams to ensure that data products are secure, accurate, and compliant with regulatory requirements
Product documentation: Creating product documentation, including user guides, training materials, and release notes, to ensure that stakeholders understand how to use data products effectively.
Stakeholder engagement: Engaging with stakeholders across the organization to understand their needs and ensure that data products meet their requirements. This includes collaborating with business analysts, data scientists, and other stakeholders to understand their use cases and provide support as needed.
Serves as the Subject Matter Expert on GDD Data & Analytics Solutions and build domain knowledge of the GDD specific area
Has End to End ownership mindset in driving initiatives through completion
Comfortable working in a fastpaced environment with mínimal 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:

23 years of handson experience working on implementing and operating data capabilities and cuttingedge data solutions, preferably in a cloud environment.
23 year proven working experience as a data analyst,
tester or business data analyst
At least 2 years technical expertise in
testing, database design development and visualization techniques
12 years familiarity with developing,
testing and delivering data, ETL solutions with some of the technologies like AWS data services (Glue, Redshift, Athena, lakeformation, etc.)
Strong knowledge of and experience with reporting packages (Tableau, Spotfire, SAS, R etc), databases (SQL, PostgreSQL etc), programming (Python, R, SAS, Javascript, Glue etc.)
Knowledge of statistics, data sciences and experience using statistical packages for analyzing datasets (SAS, R, R-Shiny etc)
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Breadth of experience in technology capabilities that span the full life cycle of data management including data lakehouses, master/reference data management, data quality and analytics/AI ML is needed.
Strong programming skills in languages such as Python, R, PyTorch etc.
Experience with SQL and database technologies such as MySQL, PostgreSQL etc.
Experience with cloudbased data technologies such as AWS, Azure, or Google Cloud Platform
Strong analytical and problemsolving skills
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 productoriented teams that work effectively with teams in US and other global BMS site.

Uniquely Interesting Work, Life-changing Careers

On-site Protocol

Physical presence at the BMS worksite or physical presence in the field is a necessary job function of this role, which the Company deems critical to collaboration, innovation, productivity, employee well-being and engagement, and it enhances the Company culture.

BMS cares about your well-being and the well-being of our staff