Senior Associate - Digital Product Analyst, GCS Data Analytics

Pfizer

Θεσσαλονίκη, Κεντρική Μακεδονία-Θεσσαλονίκη, GR

πριν από 6 μέρες

source : Kariera

ROLE RESPONSIBILITIES

Collaborate closely with Client Partners and product managers to understand product goals, and create tracking, reporting and segmentation requirements that will ensure timely and accurate measurements

Analyze ongoing initiatives and releases and assist Client Partners and product managers in performance assessment, efficiency and improved user / product experiences

Evaluate historical data and build appropriate models to understand user behavior, business trends, and performance

Communicate findings, recommendations and concerns to appropriate stakeholders

Document analytical needs and ensure transparent repeatable processes

Create compelling, intuitive dashboards to arm the clinical supply team with data and metrics critical to their decision making

Organize, prepare and present easy to understand stories with valid proof points that tie back to business objectives

Describe and quantify outcomes that will assist the team in reaching product goals and outcomes through iterative development

Assist with business analyst functions such as requirements gathering and documentation.

BASIC QUALIFICATIONS

Minimum of Bachelor's degree in computer science, data science, life sciences or a business-related discipline such as logistics;

advanced degree preferred

3+ years of experience as a Data Analyst identifying trends, insights and presenting recommendations based on collected data

Experience in developing and implementing software and data systems for the life sciences

Strong business analysis, product design and product management skills required

Familiar with product analytics and strong ability to carry out analysis related to customer journey, user activity, product / feature performance and other digital analytics

Experience with data science solutions and platforms

Comfortable collaborating with cross-functional stakeholders to understand underlying business problem, perform full cycle analysis and propose recommendations and solutions

Ability to conduct independent problem solving and data exploration analysis

A curious and highly motivated self-starter who can work effectively across cross-functional teams and can independently drive projects toward completion with proper planning and management

Excellent interpersonal, written and verbal communication skills required

Deep empathy for the end user and a passion for the user experience required

PREFERRED QUALIFICATIONS

Advanced degree in computer science, data science, logistics or another business-related discipline

Experience working with clinical and / or logistics and supply systems and data

Experience in agile software development and knowledge of modern programming languages and development environments

Experience in applied data science, machine learning and AI

Knowledge of relational and non-relational database technologies for both transactional and decision support applications (normalized transactional databases, data lakes and data warehouses)

Experience mining and visualizing complex scientific, clinical and / or healthcare data at scale

Experience with computer systems validation and delivering solutions to GxP requirements preferred

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