Digital Financial Analyst (Data Analyst)
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Job Location:
Monthly Salary:
Posted on:
5 hours ago
Vacancies:
1 Vacancy
Job Summary
Work Schedule
Standard (Mon-Fri)Environmental Conditions
OfficeJob Description
How you will make an impact:
CTD is a service business within Pharma Service Group which offers logistics and packaging/labeling services (main products) serving clinical trial supply market.
We are hiring a Digital Financial Analyst (Data Analyst) to modernize forecasting and analytics for a fast-growing multi-country services business. This is a hands-on role for someone with a strong data/coding background who can design and build forecasting models and automate data transformation to improve forecast accuracy scalability and decision support.
What you will do:
1. Forecast Model Design & Build (Core)
Design and develop an end-to-end data-driven forecasting model that supports protocol-level dynamics.
Build forecasting logic using appropriate techniques (e.g. time-series methods cohort/trend models probability-weighted conversion scenario-based forecasting).
Define model inputs feature sets assumptions structure and outputs to enable transparency and governance.
Create scalable model architecture that supports future enhancements (new data feeds new segments additional scenarios).
Establish model documentation versioning testing and validation routines to ensure reliability and auditability.
Engineering & Automation
Build automated workflows for data extraction cleaning transformation and enrichment from multiple sources (commercial operational finance trackers protocol systems).
Replace recurring manual Excel-heavy processes with coded pipelines and standardized datasets (single source of truth tables).
Implement quality checks (completeness duplicates outliers reconciliation to reported numbers) and exception reporting.
Develop reusable data products (tables curated datasets metric layers) that can feed forecast reporting and ad-hoc analysis.
How you will get here:
Requirements
Bachelors or masters degree in data science Computer Science Statistics Econometrics or related field (Finance degree acceptable if paired with strong coding/data experience).
37 years of experience in data analytics analytics engineering data science or similar roles (demonstrated experience building forecasting models end-to-end).
Knowledge Skills Abilities
Strong coding skills in Python (pandas) and SQL (data extraction/transformation).
Strong analytical thinking and ability to work with messy real-world datasets.
Clear communication: able to explain technical outputs to non-technical audiences.
Preferred:
Experience with time-series forecasting / statistical modeling and model validation approaches.
Familiarity with BI tools (e.g. Power BI/Tableau) and building datasets for reporting.
Required Experience:
IC
Key Skills
- Data Analytics
- Microsoft Access
- SQL
- Power BI
- R
- Data Visualization
- Tableau
- Data Management
- Data Mining
- SAS
- Data Analysis Skills
- Analytics
About Company
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