Data Analyst

FreightPlus is an industry provider of data-driven transportation management, offering businesses customized and fully tailored managed transportation solutions in a boutique environment where clients get the individual attention they deserve. FreightPlus combines first class customer service with innovative technology and industry best practices to help mid-size and growing companies work efficiently in the $800B domestic transportation market. The Company is ranked #184 in the most recent Inc. 5000 list of fastest growing companies. Visit FreightPlus.io for more information.

Location: Quincy, MA

The Data Analyst is responsible for working with our product and technology teams to find trends in data sets and to develop algorithms to help make raw data more useful to the enterprise. This role requires a significant set of technical skills, including a deep knowledge of database design and multiple programming languages. Communication skills are critical when working with various departments across the organization.

Responsibilities

The Data Analyst is responsible for:• Interfacing with business and sales customers to gather and present data.• Enabling effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.• Analyzing and solving business problems with focus on understanding root causes and driving forward-looking opportunities.• Designing new metrics and enhance existing metrics to support the future state of business processes and ensure sustainability.• Identifying ways to improve data reliability, efficiency and quality.• Planning and conducting research to answer industry and business questions.• Communicating complex analysis and insights to stakeholders and business leaders, verbally, in writing and through data reports.

Requirements

• Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).
• 4+ years of professional experience in analytics, business analysis or comparable consumer analytics position.
• Strong proficiency in data analysis tools and programming languages such as SQL, Python, or R.
• Demonstrated experience with data warehousing, data modeling concept and building new data warehouse schema.
• Experience with a relational database platform (e.g.; MySQL, SQL Server, PostgreSQL) and NoSQL databases such as MongoDB, Cassandra, or Redis.
• Experience defining requirements and using data and metrics to draw business insights.
• Experience with data visualization tools (e.g., Tableau, Power BI) and proficiency in creating meaningful visualizations.
• Proven problem-solving skills, attention to detail, and exceptional organizational skills.
• Ability to deal with ambiguity and competing objectives in a fast-paced environment.
• Strong operational business understanding, including potential impact of business decisions on various internal/external stakeholders.

Benefits

The compensation package includes a competitive salary, performance bonuses, health & dental benefits, and unlimited PTO.