Data Analyst II Job at Intelliswift in San Francisco

Duties:
The ideal candidate has experience applying data science to impact business outcomes and enjoys pushing the boundaries to innovate.
You will conduct analyses utilizing a variety of statistical methods and build automated reports and tools for viewing data. The goal will be to support Workplace Effectiveness in making evidence-based business decisions that ensure employee productivity, well-being, and operational efficiency.
Working with senior decision-makers, your contributions will have high visibility and enable our team to have a profound impact on the global organization.
Impact of decisions will contribute to Site Services shaping over USD 1B worth of capital by 2022.

Responsibilities:

• Leverage data to identify patterns and solve strategic analytic business problems.
• Execute sophisticated analyses resulting in actionable recommendations.
• Collaborate with subject matter experts across WE and the business.
• Contribute to data integrity and forensic efforts.
• Define requirements and work with local and global IT teams to extend and maintain the Site Services Analytics platform.
• Design and implement self-service reporting tools (e.g., R-Shiny, Tableau, R, Python).
• Identify opportunities to further develop our IoT strategy.
• Require 5+ years of experience in data-related fields, especially with research programs seeking practical or predictive significance.
• Experience working with large, complex data systems to aggregate, organize, and prepare data for analysis.
• Extensive background in data mining and statistical analysis to derive insights.
• Proven ability to bridge business requirements and technical development.

Skills:

Specialized Knowledge / Skills:

• Data-oriented scripting (e.g., SQL) and statistical programming (e.g., R, Python as a plus).
• Classical statistics and experimental design.
• Developing shared code, creating data pipelines, and using version control.
• Experience building R-Shiny applications.

Desirable (not required):

• Experience with web services like AWS and big data tools.
• Knowledge of machine learning approaches and model validation techniques.
• Background in architecture, working with architects, space planners, and interior design specialists.
• Experience with HR or organizational data.
• Public examples of code or projects (GitHub, websites, publications).

Education: Degree in Computer Science, Engineering, Psychology, Statistics, or related field or equivalent experience.

Languages: English (Read, Write, Speak)

Skills Required:

• Scripting
• Statistical Analysis
• Data Science
• SQL
• Statistical Programming

Additional Skills:

• Data Analyst
• Reporting Tools
• Version Control
• Architecture
• Data Integrity
• Estimating
• Experimental Design
• Forensics
• Interior Design
• Machine Learning
• Sensors
• Tableau Software
• Web Services

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