Data Analyst (Pharma/Lifesciences)

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

As a Data Analyst, you will directly work with key client stakeholders to define the business problems, analysis requirements, and determine solution requirements. You will be responsible for ensuring business value and communicating results, etc.

Requirements

• 3 to 7 years of work experience in the space of data analytics. Should be able to work independently with client business and analytics stakeholders.
• Experience in working with Pharma data sets.
• Strong experience on Python, SQL and/or visualization tools such as PowerBI, or Qlik.
• Ability to understand client’s business problems, working as part of a global team and perform project related studies and analysis.
• Strong experience in implementing commercial data solutions for life sciences companies
• Attention to details, hands-on deep dive analysis, and strong communication skills.
• Fluency with pharma data sources such as Plantrak, LAAD, PE, etc including RWD sources such as TriNetX, Flatiron, Optum, Komodo etc.
• Good understanding of commercial pharma processes 
• Adhere to Analytics Lifecycle and best practices.
• A strong aptitude for story telling through the analysis of data.
• Hands-on analytical experience with a proven track record of results.
• Demonstrated ability to translate strategy into action; excellent analytical skills and an ability to communicate complex issues in a simple way and to orchestrate plans to resolve issues & mitigate risks
• Bachelor's or higher in data analytics or equivalent work experience.
• Preferred experience with cloud platforms, such as AWS or Azure.

Responsibilities

• Manage master data, including creation, updates, and deletion.
• Create documentation of analytics use cases.
• Commissioning and decommissioning of data sets.
• Helping develop reports and analysis.
• Manage and design the reporting environment, including data sources, security, and metadata.
• Generating reports from single or multiple systems.
• Troubleshooting the reporting database environment and reports.
• Evaluating changes and updates to source production systems.
• Training end-users on new reports and dashboards.
• Providing technical expertise in data storage structures, data mining, and data cleansing.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.