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Tiger Analytics Inc.

Sr. Manager/ Associate Director - Pharma SME

SalaryNo pay range posted
LocationBoston, Massachusetts, United States
Work modehybrid
Typefull-time
SeniorityDirector
Experience12+ yrs
DepartmentConsulting
Company size5,001–10,000 people
PostedJul 30, 2026 · 2mo ago
Verified live13m ago
Massachusetts law requires most employers to post a pay range.
At a glanceSummarised by Seekless from the posting.
Must have4
12+ years in Pharma/Life Sciences commercial data, analytics, or data engineering
Strong experience with sales performance, patient services, speciality pharmacy, Veeva CRM, HCP/HCO, territory alignment, claims/prescription data, or related commercial domains
Hands-on expertise in SQL, Snowflake, cloud data platforms, and data quality/reconciliation
Strong stakeholder management and experience working with cross-functional business and technical teams
Nice to have3
Experience in Rare Disease/Cystic Fibrosis, Patient Services, or Specialty Care analytics
Familiarity with Power BI, Tableau, semantic models, and data product operating models
Experience leading analytics support pods or distributed delivery teams
Eligibility1
Boston-based preferred; remote candidates willing to travel will also be considered
Skills
Snowflake
SQL
Power BI
Tableau
Veeva CRM
Benefits
Career development opportunities
About the company
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 have been recognized by various market research firms, including Forrester and Gartner.
About the role
We are seeking a senior Pharmaceutical Data & Analytics SME to support the Cystic Fibrosis Sales & Performance team. This role will serve as the functional expert across commercial data, Snowflake/lakehouse assets, reporting, and analytics while partnering closely with business and technology teams. The position will evolve into leading a dedicated analytics support pod
Responsibilities
RESPONSIBILITIES:
•
Act as the SME for Cystic Fibrosis commercial data, sales performance, and reporting.
•
Partner with business stakeholders to define data requirements, KPIs, and reporting solutions.
•
Support data validation, reconciliation, business rules, data quality, and metric definitions.
•
Collaborate with data engineering teams on Snowflake/lakehouse architecture and reporting-ready data products.
•
Guide offshore teams and help establish governance, documentation, and delivery processes for the future analytics pod.
Requirements
•
12+ years in Pharma/Life Sciences commercial data, analytics, or data engineering.
•
Strong experience with sales performance, patient services, speciality pharmacy, Veeva CRM, HCP/HCO, territory alignment, claims/prescription data, or related commercial domains.
•
Hands-on expertise in SQL, Snowflake, cloud data platforms, and data quality/reconciliation.
•
Strong stakeholder management and experience working with cross-functional business and technical teams.
•
Experience in Rare Disease/Cystic Fibrosis, Patient Services, or Specialty Care analytics.
•
Familiarity with Power BI, Tableau, semantic models, and data product operating models.
•
Experience leading analytics support pods or distributed delivery teams.
•
Boston-based preferred; remote candidates willing to travel will also be considered.
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.
Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.
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