Lead Data Analyst
- Philadelphia, PA
Site Name: UK - London - Brentford, USA - Pennsylvania - Philadelphia
Posted Date: Oct 5 2020
The ideal candidate would be highly experienced in conducting data analysis on multiple projects simultaneously in a distributed global matrix environment. The Data Analyst will join a strong technical team in a technically demanding area of Tech and so the ideal candidate should possess a strong background in technology and be familiar with Agile and DevOps processes. The candidate is required to carry strong Business Intelligence tool skills and also relevant programming experience to query data.
This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following:
- Develop high-level requirements / use cases for analytics to support business justification
- Work with the product owners to translate the requirements into a form of data mapping, logical data model for engineering team
- Own the design, development, and maintenance of ongoing metrics, reports, analyses, dashboards, etc. to drive key business decisions
- Take dashboard requirements and transfer into rapidly developed prototypes and working solutions
- Implement and document reports, dashboards and other story-telling insights within the BI platforms consistent with business and technical requirements
- Optimize and update semantic data models to support new and existing projects
- Develop test scenarios and test cases in collaboration with data test engineer along with acceptance criteria
- Identify and drive opportunities to reuse data models in new environments
- Effectively communicates with both technical and non-technical staff, stakeholders, end-users, and vendors
- Understand the needs and challenges of the commercial business environment.
- Manages communications with engineering team members, internal and external partners, stakeholders, program staff and users
- Provide best practice guidance for requirements analysis and prioritization.
- Monitor and document post-implementation problems and revision requests to ensure it meets end user needs
- Understand when to highlight risks or issues and ability to clearly communicate them to management teams and stakeholders.
- Minimum of 7 years of successful experience as a Business And/Or Data Analyst in Data focused products and proven history working on and delivering complex projects in an Analytics environment space.
- Bachelor's Degree (Computer Science, Engineering, or other STEM-related area preferred)
- Extensive experience with at least 1 data visualization platform preferably Power BI
Preferred Qualifications: If you have the following characteristics, it would be a plus:
- Experience writing complex queries to retrieve data
- Experience working in Azure environments a plus
- Strong professional communication skills with both technical & non-technical audiences
- Be inquisitive for knowledge, drive for results
These include Patient focus, Transparency, Respect, Integrity along with Courage, Accountability, Development, and Teamwork.
As GSK focuses on our values and expectations and a culture of innovation, performance, and trust, the successful candidate will demonstrate the following capabilities:
- Operating at pace and agile decision-making - using evidence and applying judgement to balance pace, rigour and risk.
- Committed to delivering high quality results, overcoming challenges, focusing on what matters, execution.
- Continuously looking for opportunities to learn, build skills and share learning.
- Sustaining energy and well-being
- Building strong relationships and collaboration, honest and open conversations.
- Budgeting and cost-consciousness
If you require an accommodation or other assistance to apply for a job at GSK, please contact the GSK Service Centre at 1-877-694-7547 (US Toll Free) or +1 801 567 5155 (outside US).
GSK is an Equal Opportunity Employer and, in the US, we adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
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