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Data Analytics Visionary

1 week ago

Ahmedabad, Gujarat, India myGwork Full time

About MyGwork, an inclusive employer committed to improving the quality of people's lives. We are passionate about bringing life-saving therapies to market faster through simpler, quicker, and more digitalized processes.

Job Summary

We are on a mission to position data as the core driver of our business, empowering leaders to make informed, data-driven decisions that accelerate revenue, enhance productivity, and keep us ahead of the competition.

Your role will be key in integrating, mastering, and ensuring the quality of our data across all business functions, ultimately transforming how we operate through data science and advanced analytics.

About Corporate Functions

The Corporate Functions provide operational support across Charles River in areas such as Human Resources, Finance, IT, Legal, Sales, Quality Assurance, Marketing, and Corporate Development.

They partner with their colleagues across the company to develop and drive strategies and to set global standards.

About Charles River

Charles River is an early-stage contract research organization (CRO). We have built upon our foundation of laboratory animal medicine and science to develop a diverse portfolio of discovery and safety assessment services.

We provide a suite of products and services to support our clients' clinical laboratory testing needs and manufacturing activities.

With over 20,000 employees within 110 facilities in 20 countries around the globe, we are strategically positioned to coordinate worldwide resources and apply multidisciplinary perspectives in resolving our client's unique challenges.

Becoming Part of Our Team

As a member of our team, you will be empowered with the resources you need to grow and develop in your career.

You will be part of an industry-leading, customer-focused company at the forefront of drug development.

You will be working closely with our global technology team to reimagine how we do business through our Digital Journey.

Our recently launched Enterprise Data Hub serves as the company's digital backbone, and we are looking for visionary people in data analytics to help us further expand and refine this hub.

We value diversity, equity, and inclusion in the workplace and strive to create an environment where everyone feels valued and respected.

Please note that this is a fully remote home-based role for professionally qualified and experienced candidates based in India, who are willing and open to work UK shifts.

Key Qualifications
  • Bachelor's degree in computer engineering, Computer Science, or a related discipline (Master's degree preferred)
  • 3+ years of experience in ETL design, development, and performance tuning using the Microsoft BI Stack in a multi-dimensional data warehousing environment
  • 3+ years of advanced SQL programming expertise (PL/SQL, T-SQL)
  • 1+ years of experience in Enterprise Data & Analytics solution architecture
  • 1+ years of experience in Python Programming
  • 1+ years of hands-on experience with Azure, especially for data-heavy/analytics applications leveraging relational and NoSQL databases, Data Warehousing, and Big Data solutions
  • 1+ years of experience with key Azure services: Azure Data Factory, Data Lake Gen2, Analysis Services, Databricks, Blob Storage, SQL Database, Cosmos DB, App Service, Logic Apps, and Functions
Preferred Skills
  • Experience with Big Data technologies, such as Hadoop, Sqoop, Hive, Kafka, Spark, Pyspark, Python, Scala, or Pig
  • Experience managing both relational and non-relational data using Big Data Management (BDM) techniques (formats like JSON, XML, Avro, Parquet, etc.)
  • Experience setting up and operating data pipelines using Python or SQL
  • Familiarity with DevOps processes (CI/CD) and infrastructure as code
  • Knowledge of Master Data Management (MDM) and Data Quality tools
  • Experience developing REST APIs using Java Spring Boot
  • Familiarity with stream-processing systems (e.g., Event Hubs, Storm, Spark-Streaming)
  • Experience in data and analytics within the Life Sciences industry is a plus