Data Analyst

This is a fully remote position, open to applicants in United States.

📋 Description

• Assist Lead Analysts in ongoing client projects by facilitating data mapping, configuring systems, documenting processes, and conducting testing within client ERP systems.

• Take ownership of clearly defined, lower-complexity workstreams under the guidance of a Lead Analyst.

• Gain insights into BIG's primary ERP platforms and delivery methodology via paired mentoring.

• Ensure the maintenance of precise, client-facing documentation and internal delivery records.

• Engage in team check-ins and knowledge-sharing sessions.

• Assess organizational methods and produce specification documents for various data sources.

• Conduct quality assurance checks on imported data.

• Collect requirements, provide progress updates, and build relationships with management and users.

• Analyze data to address stakeholder inquiries, identify trends, and suggest enhancements to business performance, efficiency, or data quality.

• Develop and maintain interactive visualizations that incorporate reporting components from multiple data sources.

• Assist with data acquisition and integration activities utilizing BIG’s technology stack, standards, and design patterns.

• Foster collaboration across divisions.

• Undertake additional responsibilities as assigned.

⛳️ Requirements

• A Bachelor's degree in Mathematics, Computer Science, Information Systems, Economics, Statistics, Analytics, or a related discipline.

• 1-2 years of internship or relevant experience in data mining as a Data Analyst.

• Proven ability to thrive in a collaborative, team-focused atmosphere.

• High proficiency in developing and designing Tableau visualizations.

• Demonstrated analytical skills, including data mining, evaluation, analysis, and visualization.

• Strong skills in SQL or Excel with the capacity to learn additional analytic tools.

• Previous experience with any ERP or business-systems platform is preferred.

• Familiarity with basic data/reporting tools is preferred.

• Exposure to data engineering fundamentals, such as building or maintaining simple data pipelines, working with APIs, or scripting data transformations is preferred.

• Working knowledge of Python is a plus, although not required at this level.

• A background in agriculture is preferred.

• Exceptional communication, interpersonal, customer service, organizational, time management, analytical, problem-solving, and computer skills.

• Ability to multitask, thrive in a fast-paced environment, meet deadlines, analyze metrics, generate reports, and make sound decisions.

🏝️ Benefits

• Competitive salary and performance bonuses.

• Comprehensive health and wellness benefits.

• Opportunities for professional development and career advancement.

• Flexible working hours and remote work options.

• Collaborative and inclusive company culture.