Sr. Data Analyst

ABOUT THE ROLE

TYPICAL ACCOUNTABILITIES

The Analyst works under the supervision of more senior Data Analysts on simple data analysis challenges, accountable for:

• Develop, implement and support analytical and data visualization solutions designed to drive the interrogation of datasets for insights in scientific and business application areas within the defined project scope. Employ the use of dedicated business intelligence applications and/or cloud services, but may also leverage the reporting capabilities of existing ERP, CRM and/or database software vendors and analytical software such as R, Python, Matlab, and others.
• Data cleansing and manipulation of raw data in Excel and/or any BI tool such as PowerBI, Qlik, etc.
• May create and maintain exploratory and predictive analytics statistical models for ongoing and ad hoc review and analysis of data.
• Basic support of data engineers in the development of Source to Target pipelines (e.g. ETL design)
• Basic design & testing of the quality and performance of derivative data models in downstream reporting and analytics solutions
• Develop visualizations and tools to support and deliver analytical solutions within defined project scope
• Develop, maintain and apply ongoing knowledge and awareness in trends, standard methodology and new developments in analytics
• Clearly and objectively communicate insights and results, as well as their associated uncertainties and limitations
• Personal development and training in foundational data analysis skills, techniques and tooling.
• Having an analytical attitude and building critical thinking skills to work with complex data and logical conditions

EDUCATION, QUALIFICATIONS, AND EXPERIENCE
ESSENTIAL

Undergraduate degree in a Computer Science, Data Management or possibly discipline area (R&D, Finance, HR etc) and cross-trained or equivalent number of years of experience

7+ years experience as a Data Analyst is required

DESIRABLE

Post-graduate degree in MIS, Data Management Domain data understanding: the structure, provenance and meaning of the source data crucial to the domain

(eg. SAP for Finance, SDTM for Clinical). Understanding of the business processes in the generation and consumption of data

Familiarity with Excel, BI tools, etc

SKILLS AND CAPABILITIES
ESSENTIAL

• The role holder will possess a blend of data requirement analysis, data quality analysis, data stewardship skills
• Experience in translating requirements into fit for purpose data models, data processing designs and data profile reports experience in the use of data modelling technologies
• Experience in Agile data definition scrum experience in the use of metadata cataloguing tools
• Knowledge of key AZ policies and standards for data covering areas such as privacy and security.
• Good written and verbal communication and consultancy skills
• Awareness of the end to end processes and activities in the build and support of Data solutions
• Experienced in applying a risk-based methodology to data and information management

DESIRABLE

• At least 7+ years of experience.
• Experience in Data Analysis enabling tool kits
• Experience in working in multi-skilled, multi-location data teams, working to agile principles
• Experience/understanding of general Portfolio management
• Experience in life sciences and healthcare
• Experience in a complex global organization

Job Types: Contract, Full-time

Salary: $30.00 - $70.00 per hour

Benefits:

• Green card sponsorship

Experience level:

• 7 years
• 8 years
• 9 years

Schedule:

• 8 hour shift

Ability to commute/relocate:

• Remote: Reliably commute or planning to relocate before starting work (Required)

Application Question(s):

• Are you willing to work on W2?
• Would you now or in future require H1B or GC sponsorship?

Education:

• Bachelor's (Required)

Experience:

• Data science: 7 years (Required)

Work Location: Remote