Data Insights Lead

3 weeks ago


Los Angeles, California, United States SGS Full time
Job Description: As a Data Insights Lead at SGS, you will play a critical role in driving business growth and improving operational efficiency through the development and implementation of customized data-driven solutions. This role requires a deep understanding of analytics, data visualization and consultative problem-solving to deliver high-impact dashboards, reports and insights for clients.

About Us:
Sales, General Knowledge and Services (SGS) is a leading provider of testing, inspection and certification solutions for businesses around the world. Our team of experts helps clients navigate complex regulatory environments and ensure compliance with industry standards.

About the Role:
The Data Insights Lead will be responsible for developing and implementing advanced data visualizations and storytelling tools using Power BI and other BI platforms to clearly communicate insights and support strategic decision-making. This role also involves collaborating with clients to define and implement a digital roadmap, aligning data solutions with long-term business objectives and transformation goals.

Responsibilities:
  • Develop and implement advanced data visualizations and storytelling tools using Power BI and other BI platforms to clearly communicate insights and support strategic decision-making.
  • Collaborate with clients to define and implement a digital roadmap, aligning data solutions with long-term business objectives and transformation goals.
  • Design and deploy custom data solutions, leveraging expertise in programming languages such as Python, R and SQL to support advanced data analysis and automation.

Requirements:
  • Bachelor's or Master's degree in Business, Finance, Economics, Mathematics, Computer Science or related fields.
  • Minimum of 3 years of experience in data analytics and digital transformation, preferably within a consulting environment.
  • Strong technical skills, including proficiency in programming languages such as Python, R and SQL, as well as experience with data visualization tools like Power BI and Tableau.

Estimated Salary: $130,000 - $160,000 per year.
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