Senior Data Analyst

Valeo is a tech global company, designing breakthrough solutions to reinvent the mobility. We are an automotive supplier partner to automakers and new mobility actors worldwide. Our vision? Invent a greener and more secured mobility, thanks to solutions focusing on intuitive driving and reducing CO2 emissions. We are leader on our businesses, and recognized as one of the largest global innovative companies.

Mission

Responsible for leveraging data-driven insights to inform strategic decision-making processes within the

organization. Your primary focus will be on answering complex business questions by identifying the

right dataset, analyzing complex datasets, developing predictive models, and providing actionable

recommendations to improve business outcomes.

Responsibilities

Leveraging data-driven insights :

Use data to inform strategic decision-making processes within our organization.

Employ various analytical techniques to extract valuable insights from data and apply them to

solve complex business problems and answer complex business questions.

Collaborate with management to define strategies for organizing data-driven structures within the

organization..

Identifying complex business problems :

Identifying and defining complex business problems that can benefit from data-driven solutions.

Work closely with stakeholders to understand their needs and objectives and translate them into

actionable data analytics tasks.

Analyzing large datasets :

As Senior Data insights Engineer possess strong analytical skills and are proficient in analyzing

large and complex datasets.

Develop and deploy advanced analytical models and machine learning algorithms to solve complex

business problems.

Apply statistical techniques, predictive modeling, and optimization methods to extract actionable

insights from large and diverse datasets.

Providing actionable recommendations :

Effectively communicate complex analytical findings and insights to non-technical stakeholders,

including senior executives and business leaders.

Translate technical concepts into business-friendly language and facilitate data-driven

decision-making across the organization.

Collaborating with cross-functional teams :

Work closely with cross-functional teams, including mechanical Engineers, Design engineers, and

other discipline professionals / domain experts to understand business requirements and develop

data-driven solutions.

Effective collaboration ensures that data analytics initiatives align with organizational goals and

objectives.

Stay up to date with the latest developments in machine learning, and artificial intelligence.