Samantha Lohier

Senior Lead Analytics Engineer at Data Culture

Samantha Lohier is a Senior Lead Analytics Engineer at Data Culture with a strategy-driven approach to building data stacks while working with stakeholders to evaluate and translate business goals. She previously worked at Boeing as a Structural Analyst and also served as a tutor and mentor at Carnegie Mellon University. Samantha has a Master's degree in Mechanical Engineering from Carnegie Mellon University and a Bachelor's degree in Mechanical Engineering from the same institution. She has a background in software engineering, chemical engineering, and experience as a lifeguard.

Location

New York, United States

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Data Culture

We think about data a little differently. Every company needs to invest in data, but we know that just having data — no matter how much or little — doesn’t necessarily change how people work. To create transformational change, you have to create a culture of data-driven thinking, and a community of employees who feel empowered to use data to solve the most pressing challenges in the business. Our multidisciplinary team can support any size business. We work with early stage companies acting as a fractional data team, allowing a fast implementation of the modern data stack and provide the training and enablement needed to understand what is it and how it empowers your business and employees. For larger companies, we can supplement existing data teams with a bespoke mix of team members to suit the exact needs of the project. We specialize in data ingestion, event tracking, warehouse optimization, data modeling, data strategy and BI & reporting (to name just a few). We also have a dedicated data visualization studio that can elevate the effectiveness of BI dashboards to a new level, or create custom data storytelling websites to help share the impact of your work with customers and external stakeholders. We bridge the gap between data and business impact. We’re passionate about helping organizations to unlock the value of their data and empowering employees to do the best work of their careers.


Employees

11-50

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