Data Analyst, Operations

Are you performance-driven and want to make a tangible impact?
Are you looking for professional growth opportunities and a chance to build a career?
Are you a problem solver who loves a good challenge?
Do you want to change the world one retail return at a time?

Our mission at goTRG is to solve the problem of returns by increasing profits from returns and decreasing the environmental impact. We make it easy for retailers, manufacturers, vendors, and 3PLs to handle every item from the point of return to final disposition. We are the only company that manages the entire reverse logistics process end-to-end.

Our company is vertically integrated with SaaS, Supply Chain, and ReCommerce business units, working under one roof to make the most impact for our clients. By joining our team, you'll be a part of:

•    SaaS that eliminates human biases from returns decisions and connects to every part of the retail ecosystem from the point of sale to supply chain to ReCommerce.
•    Best-in-Class Reverse Supply Chain services.
•    ReCommerce Services that list across 20+ high demand marketplaces.

Position Summary: 

We are looking for an Operations Data Analyst to join our growing core technology team. The Operations Data Analyst is a crucial role within an organization, responsible for collecting, analyzing, and interpreting data to support and optimize various operational processes. This role is essential for making informed decisions, improving efficiency, and ensuring the smooth functioning of the company's day-to-day activities. The successful candidate will turn data into information, information into insight, and insight into business decisions.

Primary Responsibilities/Essential Functions:  

This job description in no way states or implies that these are the only duties to be performed by the teammate occupying this position. 

• Conduct detailed data analysis on data used across business units to evaluate business processes, improve existing features, and create new ones
• Perform various data analytics using SQL, MS Excel, and statistical models to examine data, identify trends, patterns, anomalies, and extract actionable insights
• Gather and compile data from various sources, including databases, spreadsheets, and operational systems, ensuring data accuracy and completeness
• Provide relational database expertise to construct and execute SQL queries for data analysis
• Develop and generate regular and ad-hoc reports and dashboards to communicate data-driven insights to stakeholders
• Collaborate with operational teams to identify areas for process improvement through data-driven recommendations
• Design, develop, and provide expertise in tools, techniques, metrics, and dashboards for insights and data visualization to address business needs
• Create data visualizations, such as charts and graphs, to effectively communicate findings and support decision-making
• Develop and execute tools for monitoring and reporting on data quality
• Promote and enforce data quality management principles, including metadata, lineage, and business definitions

Requirements:  

• 2 to 4 years of industry experience as a Business/Data Analyst 
• Experience data analysis using tools such as SQL and Excel 
• Practical knowledge of data in various forms (data warehouses/SQL, unstructured data environments/PIG, HIVE, Impala)
• Familiarity with BI reporting tools (Power BI, and/or Tableau) 
• Experience working within process management and improvement methodologies 
• Experience in quantitative analysis and statistical modelling would be helpful 
• Ability to act with integrity, professionalism, and confidentiality 
• Proficient with Microsoft Office Suite or related software 
• Embody goTRG’s company values: Team, Innovation,Partnership, and Sustainability 
• Strong time managementand project management skills 
• Ability to think creatively and problem solve when faced with new challenges 
• Ability to work independently, multi-task, and deliver quality work in an efficient manner 
• Ability to manage competingpriorities 
• Ability to succeed in a team environment 
• Demonstrated initiative