Data Analyst

At LOCUS, we’re building smarter, more connected communities through cutting-edge location intelligence and data-driven insights. Our team thrives at the intersection of technology and impact, working together to solve real-world problems with innovative solutions. We’re looking for passionate, curious, and driven individuals to join us in shaping the future of how people interact with the world around them. If you're excited to make a meaningful difference and grow alongside a dynamic team, we want to hear from you.

We are looking for a Data Analyst who is comfortable using state-of-the-art data programming and data analytics platforms such as Python, Scala, and Apache Spark. This role will require expertise in technical data evaluations and analyses, efficient algorithm design, database design and management, performance optimization, parallel processing, and computational geometry. The Data Analyst’s work will contribute to a new generation of data products in mobility analytics that address traffic congestion, climate impacts, equity-in-transportation assessments, and transit optimization for cities large and small across the US.

Essential Duties and Responsibilities

Design data analysis/data engineering methods to meet today's needs, while providing for likely future needs

Prototype functional algorithms and statistical models to illustrate potential for new software products, platforms, technologies

Develop production ready code and provide clear and concise documentation

Design and maintain robust, scalable data pipelines to process high-volume location datasets

Produce meaningful data visualizations that are accessible to technical and non-technical audiences

Evaluate and learn new data sources, tools, techniques, as necessary

Collaborate cross-functionally with engineers, product teams, and transportation planners to deploy solutions efficiently and effectively

Contribute to a comprehensive, long term technical vision for products and platforms

Position Requirements

Bachelor’s degree in Transportation or Energy Systems, Data Science, Engineering, Computer Science, or related field

1-3 years of work experience as a data analyst or software engineer

Strong Python skills

Familiarity with geospatial data, spatial analysis libraries, data visualization

Comfort with ambiguity and a curious, experimental mindset

Preferred Qualifications

Master’s degree in Engineering, Data Science, Computer Science, or related field

Familiarity with transportation and mobility datasets

Experience with cloud infrastructure (e.g., AWS) and Big Data tools (e.g., Spark)

Background in machine learning, forecasting, anomaly detection

Passion for transportation and location data

Cambridge Systematics is an equal opportunity employer. We strive to create a culture in which every voice is valued, where employees have a sense of belonging and connection with one another and to the organization, and they feel empowered to do their best work. We are committed to providing an inclusive culture within the firm and we encourage people of all backgrounds to apply to our open positions.

If you think you have what it takes but aren’t sure you meet all the requirements of this job, we invite you to connect with us. We value all perspectives and life experiences and want to hear about yours.

EOE AA M/F/VET/DISABILITY

Salary: $85k-$100k