Gallop Research - Deputy Manager - Pharma Analytics

Urgently looking for a Deputy Manager - Pharma Analytics

Roles & Responsibilities:

- Analyze data independently, and draw out salient insights

- Manage reporting activities, Build analytics-based reporting to provide enhanced business insights to our clients

- Set up KPI and business rules to answer business questions

- Communicate with stakeholders across functions and understand business requirements

- Leverage analytic techniques to use data to guide client and team decision-making

- Use tools to investigate and inform client needs

- Synthesize and communicate results to clients

- Collaborate with client and internal teams to implement solutions

- Take immediate responsibility for project deliverables

- Drive analysis and problem solving and advance capabilities

Technical Skills: Advanced excel, Power Point, SQL, Statistics, Hands on experience in R/Python/SAS, Tableau

Domain knowledge in healthcare with working knowledge of various datasets used in the pharmaceutical industry

- Life sciences domain knowledge (2+ years)

- Good client communications (verbal and written

- Data Analysis, Descriptive Analysis and Ability to handle Large volumes of Data for Adhoc analysis and Standard Business Reporting 2+ years

- Knowledge of different pharma data sources IQVIA, Flatiron, SHS, EMR/HER data etc.

- Commercial Analytics Experience in Life Science desired

- Data analysis and reporting capability

- Hands on experience in Alteryx is an added advantage

- Experience of working with offshore/onshore teams

- Empathy, adaptability and emotional intelligence

- Close attention to detail, with a quality-focused mindset

- Self-discipline for planning and organizing tasks

- Aptitude for, and enjoyment of working in teams

Must have Skills:

- Tableau/Power BI, SQL, Excellent Communication, MS Excel, MS PowerPoint, Analytical Skills, Problem solving, Written and Verbal Communication, Stake holder management, Work as a team

Highest Education

- Bachelor's or master's degree in engineering (any branch), and strong academic performance with analytic and quantitative coursework is required