Data Analyst II

INTELLISWIFT INC; San Francisco (CA); On-site; USD 80,000 - 120,000; Full time

Job summary

An innovative firm is seeking a skilled data analyst to apply data science in impactful ways. In this role, you will leverage statistical methods to conduct analyses that drive business decisions, enhancing employee productivity and operational efficiency. Collaborating with senior decision-makers, your insights will shape strategies that influence substantial capital investments. This position offers the opportunity to work with cutting-edge tools like R-Shiny and Tableau, allowing you to design self-service reporting solutions. If you are passionate about data and eager to make a significant contribution, this role is perfect for you.

Qualifications

• 5+ years of experience in data-related fields with a focus on impactful analytics.
• Extensive background in data mining and statistical analysis to derive insights.
• Proven ability to bridge business requirements and technical development.

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.

Skills

Data-oriented scripting

Statistical programming

Statistical Analysis

SQL

Data Science

Experimental Design

Data Integrity

Machine Learning

Education

Degree in Computer Science

Degree in Engineering

Degree in Psychology

Degree in Statistics

Tools

R-Shiny

Tableau

AWS

Job description

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