The Data Analyst is responsible for interpreting data, developing analytical processes, maintaining data systems, and enabling data-driven decision-making across the organization.

Your role is to:

• Interpret data and analyze results using code and statistical techniques, including pharma and life sciences datasets.

• Develop and implement data analyses, data collection systems, and strategies that improve efficiency and quality across clinical, commercial, and research functions.

• Analyze data from primary or secondary sources and maintain databases.

• Coordinate with stakeholders to review and resolve data discrepancies in regulated environments.

• Provide quality assurance of imported data.

• Commission and decommission datasets relevant to pharma and life sciences.

• Process confidential data according to guidelines and compliance frameworks.

• Develop reports, dashboards, and analysis summaries for stakeholders.

• Manage and design the reporting environment, including data sources, security, and metadata.

• Support data warehouse requirements including pharma data.

• Support initiatives focused on data integrity and normalization across scientific and business units.

• Assist with testing, assessing, and implementing new or upgraded software and commercial analytics platforms.

• Generate reports from single or multiple systems.

• Troubleshoot reporting databases and reports.

• Evaluate changes to source production systems.

• Train end users on new reports and dashboards.

• Provide technical expertise in data storage, data mining, and data cleansing.
  
  
  

Required:

• Experience with pharma, biotech, or life sciences data, along with strong analytical skills and high attention to detail and accuracy.

• Ability to analyze, model, and interpret data including clinical, commercial, or scientific datasets.

• Ability to plan work and meet deadlines.

• Interpersonal, teamwork, written, and verbal communication skills.
  
  

Preferred Skills:

• Minimum 2 years of technical data analysis, data science, or data warehousing experience.

• Proven business analysis experience.

• Hands-on experience with Oracle, PL/SQL, PostgreSQL, MySQL, Python.

• Strong SQL skills.

• Experience with Power BI, SQL Developer, Visual Studio, Qlik.

• Understanding of Entity-Relationship models for clinical data.

• Knowledge of structured, unstructured, and semi-structured data formats including clinical notes, safety narratives, and commercial data feeds.

The pay range that the employer in good faith reasonably expects to pay for this position is $43.46/hour - $67.90/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Tundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.