- Transforming, testing, visualizing and documenting analytic data products
- Identify, analyze and interpret trends or patterns in complex data sets
- Collaborate cross-functionally with data & insights peers and business stakeholders to discover high impact opportunities and deliver robust solutions to enable self-service analytics
- Understand where various opportunities fit into the broader strategies and prioritize competing demands to ensure the most impactful items are delivered
- Participate as a data analyst in an agile team to deliver analytics to the business stakeholders
- Participate in user discovery sessions, iterative refinement cycles with technical team and sprint planning
- Develop high-impact data layers, user interfaces and other tools to enable self-service analytics
- Gather feedback and input on self-service implementations from end-users and peers and create a cycle of continuous improvement
- Keep a close eye on usage of the self-service data products and engage in activities (socialization, documentation, etc.) designed to increase usage
- An experienced analytics professional with a proven track record of understanding the True needs of the business stakeholder and how to leverage data / analytic skills and partnerships to fulfill those needs
- A team player contributing to an agile team focused on data product delivery
- You are comfortable with ambiguity, and able to thrive with minimal oversight and process
- You have exceptional communication and collaborative skills
- You have an investigative and curious mindset and easily understand business rules and application to data
- Experience with agile methodology and working in agile teams is preferred
- You are highly experienced working with data and analytic report interpretation
- You are experienced with building and maintaining semantic layers and self-service visualization technologies (Tableau, Power BI, Looker, Qlik, SAP Analytics Cloud etc.) for non-technical end-user use
- You can build ETLs for self-use in your analytic solutions (Alteryx, dbt, Talend etc.)
- You have the ability to write complex SQL queries, ad-hoc data pipelines and familiarity with dimensional modeling / data warehouse concepts
- Knowledge on Python and/or R programming language is a plus
- You are proficient on the use of office apps (GSheets/Excel, GDocs/Word, GSlides/PowerPoint ) - GSuite is preferred
- Experience in healthcare analytics and working with healthcare data in a regulated environment is a plus
- Advanced English is required
- Bachelor Degree in Informatics (or equivalent) with 3+ years of relevant experience
- Experience in following technologies and concepts would be a plus: Data Architecture Concepts, Data Engineering Methodologies, Data Warehouse/Vault Concepts and Methodologies, Product Technical Documentation, Snowflake, DataOps, AWS basics, Qualtrics basics / Survey Platform basics
Data and Analytics Specialist - Malaysia, Selangor - Roche Diagnostics Corporation
Description
The Position
JOB MISSION
As part of Rocheu00B4s Business Intelligence and Data Analysis team, the Data and Analytics Specialist will build and maintain trusting, working relationships with business stakeholders in a cross functional environment, understanding the analytic needs of the domain, and working in an agile product team setting fulfilling those needs.
RESPONSIBILITIES
WHO YOU ARE
CAPABILITIES / EXPERIENCE
Who we are
At Roche, more than 100,000 people across 100 countries are pushing back the frontiers of healthcare. Working together, we've become one of the world's leading research-focused healthcare groups. Our success is built on innovation, curiosity and diversity.
The Roche Services & Solutions as well as People Support Solutions organisations located in Kuala Lumpur provide end-to-end business solutions for Finance, Procurement, IT, Communications, People & Culture (Human Resources) and beyond to our Roche colleagues across the APAC region. Today Roche employs altogether around 1100 employees in Malaysia.
Roche is an Equal Opportunity Employer.