Visual Analytics - Senior Specialist

Job Title: Visual Analytics - Senior Specialist

Job Location: Hyderabad

Job Type: Permanent/Fulltime

About the job

Our Team:

Data Analytics Services (DAS) is a key pillar of the Automation COE within Sanofi Business Operations. Besides data analytics, the wider team’s scope is comprised of Master Data Management, Process Mining & Process Intelligence and Robotic Process Automation (RPA). DAS is primarily responsible for building and maintaining Power BI dashboards in the finance domain.

Main responsibilities:

People:

• Acts as strategic thought partner with People Analytics operations across GBUs.

• Develops and maintains expertise on key trends / developments in the industry.

• Provides input to strategic deliverables and ensures delivery as per plan.

• Identify areas for innovation and implement with external and internal partners.

Performance:

• Lead/Mentor teams of experts specialized analytics professionals' others as needed.

• Quantitative Strategy Consultant partner with a broad range of internal cross-BU client teams across regions to deliver and advise seamless solutions across the most specific marketing and sales issues facing a stakeholder.

• Evaluates the effectiveness of various promotion and marketing programs leveraging secondary data sources, Reporting platforms / ETL Setups.

• Mentor the junior team on day to day as well as exceptional cases/ situations.

• Monitor progress of work and provide solution to issues and queries.

• Share best practices and serve as a change agent and facilitator for operational excellence·

Process:

• Support delivery of projects in terms of resourcing, quality, timeliness, efficiency, and high standards for deliverables made by the commercial operations teams.

• Contribute to overall quality enhancement by ensuring to meet the defined/agreed quality parameters for the outputs produced by the respective teams.

• Secure adherence to compliance procedures and internal / operational risk controls in accordance with any and all applicable regulatory standards.

• Lead and implement operational excellence projects within the team in alignment with overall direction from senior leadership using appropriate process improvement tools.

• Ensure creating & developing tools, technology and process in order to constantly improve quality and productivity·

• Engaging with the business and Digital workgroup via Agile development

• Data transformations in Power Query based on imported data from Snowflake

• Data model building

• Creating DAX queries

• Data visualization / Report building

• Dashboard deployment via Power BI Service

• User guide / training

• Co-operating with Master Data Management to create data dictionary, standards

About you

Experience:

• 7 to 10 years’ experience in PowerBI Reporting. Candidate will be responsible for designing, developing, and maintaining PowerBI reports and dashboards to meet business requirements.

•  This role will involve collaborating with stakeholders to understand data needs, creating data models, and ensuring data accuracy and integrity.

• The successful candidate should have strong experience in PowerBI, SQL, and data visualization techniques.

• Excellent communication skills and the ability to translate business requirements into technical solutions are essential.

• Candidate must possess at least a bachelor’s degree or master’s degree in quantitative subject (computer science, mathematics, engineering, statistics or science)

Soft skills:

• Ability to work effectively with cross-functional partners and drive process improvement initiatives across an organization.

• Inter-cultural skills and eagerness to work in a very international setting.

• High level of Interpersonal/ communication skills with an ability to communicate and present at different levels of the organization

Technical skills:

• Proven Master Power BI developer skills (inc Power Query, DAX, Visualization)

• Power BI, SQL (for Snowflake data mining)

• Data Science experience to build business cases for machine learning opportunities.

• Strong ability to review, recommend and implement technologies and tools.

• Proven knowledge of applicable Project methodologies (PM Methodology, Agile / Scrum) 

• High levels of proficiency in English