Business Analyst / Data Analyst - RELEX North America

Relex Solutions•Atlanta, GA

27d•Remote

About The Position

The Business/Data Analyst at RELEX is a pivotal support role that enhances the presales team's effectiveness throughout the sales cycle. You will work directly with Presales Solution Principals and the broader Presales team across North America and LATAM, providing the analytical foundation and technical expertise that drives successful customer engagements. This position integrates data analysis, technical configuration support, demonstration building, and customer engagement, serving as a developmental stepping stone to presales consulting, product management, or operations growth roles. Join us as a Business/Data Analyst. This is some of what you'll be doing:

Requirements

Analytical and technical skills with hands-on experience analyzing large datasets-proficiency in at least one or two of: Python, R, SQL, or similar analytical tools (e.g., Spark, Tableau, Power BI). We value strong problem-solving and willingness to learn new tools over mastery of any specific technology.
Understanding of data integration, extraction, system interfaces, and technical documentation
Ability to understand business logic and translate customer requirements into technical solutions
System configuration capability or strong desire to learn RELEX platform configuration
Excellent communication and presentation skills-comfort explaining technical concepts, including AI and machine learning outputs, to business audiences (we'll train you on the AI specifics)
Ability to see the bigger picture and translate customer challenges into solution-based approaches
Analytical mindset with curiosity about how data patterns inform predictive models and business decisions
Collaborative work style with ability to support Solution Principals and work across teams
Learning agility and growth mindset-enthusiasm for rapidly picking up new domains, tools, and technologies in a fast-paced environment
Flexible and adaptable approach-able to work within ambiguity and drive improvement
High work ethic and motivation toward sales-supporting work
Finished university degree from a relevant field (Business, Computer Science, Data Science, Information Systems, Mathematics, Industrial Engineering, Economics, or similar quantitative discipline)
Willingness to travel across North America and LATAM on occasion (less than 5-10%)

Nice To Haves

Exposure to machine learning concepts or experience working with AI/ML models, particularly in forecasting, time series analysis, or optimization-we provide comprehensive training, so curiosity and eagerness to learn matters more than existing expertise
Familiarity with AI tooling, model evaluation metrics, or experience explaining AI-driven insights to non-technical stakeholders
Experience with predictive analytics, statistical modeling, or data science projects
Knowledge of emerging AI productivity tools and technologies in data analysis
Relevant work experience in consulting, data analytics, presales, or sales engineering
Understanding of SaaS technology, retail operations, and/or supply chain management
Knowledge of retail planning business logic (forecasting, replenishment, inventory optimization, pricing, promotions, assortment)
Understanding of wholesale or manufacturing planning processes
Experience with big data tools (Spark/PySpark, Hadoop) or cloud platforms (Snowflake, BigQuery, Databricks)
Advanced proficiency in multiple analytical tools beyond your core skillset
Experience with data visualization platforms (Tableau, Power BI) or statistical software (SAS, SPSS, Stata)
Previous customer-facing experience in technical or analytical roles
Experience with business case development or ROI modeling