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.