Data Visualization Analyst

Company: Experfy Inc
Job type: Full-time

We are looking for a Data Visualization Analyst to join our digital data team for handling market data, forecast, performance tracking according to the companys strategy, as well transforming data into insights that drive business value (data analytics, data visualization and data modelling techniques). She/He will also drive digitalization & process excellence by supporting Customer & Consumer teams in finding growth opportunities as well as conducting Market Research. Manages and maintains the automated processing and reporting of sales data to support the business.
Responsibilities
Manage multiple sources of data, IQVIA master data, develops standard & project-based reports/dashboards (from single or multiple systems)
Build and develop market knowledge with a focus on understanding available market potential and opportunities, market penetration and customer valuation models
Provide ongoing reports from different data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
Provide insights related to the specific reports/analyses in order to support Consumer Teams in data driven decision making processes
Extract monthly (or weekly) sales data from relative data sources (Ex: IQVIA) and create reports at national and subnational level for respective divisions
Implementing visualization dashboards for CHC market analytics
Ensuring high performance of dashboarding solution based on key requirements (Ex: size of data, # of users, etc.)
Collaborate with Customer & Consumer Teams for ad-hoc solutions
Reviewing integrity of data
Provides performance indicators definition from a functional / business angle
Identify metrics required to calculate performance indicators. Identify source systems for each metrics and all necessary metrics attributes needed to define indicators
Support the analysis of change requests proposed by Business community Digital teams, to enable the development & evolution of KPIs
Review functional specifications created to make KPI available in visualization & analysis solutions
Support users in realization & documentation of user acceptance tests (UAT)
Develop new Power BI dashboards for market analytics based on mock-ups
Assist deployment of PowerBI in Sanofi infrastructure (incl. user access rights, security)
Migrate market analytics dashboards in Tableau to PowerBI
Monitor performance of solution and propose
Requirements
Tools
Expert in PowerBI, and Tableau
Additional visualization skills : seaborn, matplolib, plotly, ggplot, bokeh
Snowflake, SQL, Excel, PowerPoint, Word, and Python
Expert in Data manipulation techniques (esp. querying tables with SQL, Numpy)
Good knowledge of cloud computing and data storages. Knowing AWS is a plus.
Project management & support: JIRA projects & service desk, Confluence, Teams
Skills
Excellent people management and communication skills
Established experience with project management, SCRUM, & different variants of AGILE techniques
Good communication, Fluent English spoken and written compulsory
Strong capacity to develop consistent, clear analysis and report potential issues
Data quality audit techniques (Electronic Data Discovery)
Soft Skills
Pragmatic and capable of solving complex issues
Ability to understand business needs
Push innovative solutions
Service-oriented, flexible & team player
Self-motivated, take initiative
Attention to detail & technical intuition
Behavior Competencies
Cooperate transversally
Curiosity and entrepreneurship
Leadership and autonomous
Experience
Close to 5 years of experience developing reports in a deadline driven role
Experience in a healthcare company is a strong plus along with good understanding of IQVIA data
Strong experience building and deploying PowerBI, and Tableau data visualizations and dashboards
Extensive knowledge of SQL, and Excel
Strong understanding of data visualization concepts. Thoughtfully connects these concept business metrics and KPIs to achieve business goals.
Ability to understand and query disparate data sources, including relational structures
Analytical thinking to turn information into compelling stories
Accuracy and detail-orientation
Ability to handle pressure and commit to and respect deadlines
Preferred Qualifications
Masters degree in Computer Science, Mathematics, Statistics, Information Management, or Applied quantitative field

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