Data Analyst

Supports client analytics and business-systems engagements by preparing, validating, mapping, and analyzing data; configuring and testing ERP systems; creating Tableau visualizations and reports; documenting processes; supporting data integration; and communicating with stakeholders. The role works under Lead Analyst guidance while developing ERP, consulting, and account-facing expertise., BIG Consulting LLC, a Cultura company, is looking for a junior level Data Analyst to support client analytics and business-systems engagements by preparing, validating, and analyzing data; assisting with system configuration and testing; developing reports and visualizations; and maintaining clear documentation. Working closely with Lead Analysts, this position will learn BIG Consulting’s core ERP platforms. BIG Consulting provides solutions for transforming complex agricultural data into actionable insights through customized dashboards, advanced reporting, and strategic consulting. With expertise across agronomy, energy, feed, grain, retail, and financials, BIG has helped Agribusinesses across the Midwest US improve performance, identify risks, and enhance operational efficiency. Learn more at www.bigurus.net., · Support Lead Analysts on active client engagements: data mapping, system configuration, documentation, and testing within our clients’ ERP environments.

· Take ownership of well-defined, lower-complexity workstreams within larger engagements, with a Lead Analyst reviewing your work and available for questions.

· Learn BIG’s core ERP platforms and delivery methodology through paired work with a Lead Analyst mentor, with the expectation of growing account-facing responsibility over time.

· Maintain clear, accurate client-facing documentation and internal delivery records.

· Participate in team check-ins and knowledge-sharing so institutional knowledge doesn’t sit with any single person.

· Evaluate organizational methods and provide specification documents for multiple data sources.

· Provide quality assurance of imported data.

· Work with management and users to gather requirements, provide status updates, and build relationships.

· Analyze data to answer stakeholder questions, identify trends, and recommend opportunities to improve business performance, efficiency, or data quality.

· Create and maintain rich interactive visualizations through data interpretation and analysis integrating various reporting components from multiple data sources.

· Assist with the development and implementation of data acquisition and integration processes using BIG’s established technology stack, standards, and design patterns.

· Support cross divisional collaboration.

· Other duties as assigned.

· Bachelor’s degree in Mathematics, Computer Science, Information Systems, Economics, Statistics, Analytics, or a related field.

· 1-2 years of internship or experience mining data as a Data Analyst.

· Proven success in a collaborative, team-oriented environment.

· High level of competency in building/designing Tableau visualizations.

· Proven analytic skills: including mining, evaluation, analysis, and visualization

· Excellent communication skills, both verbal and written.

· Strong SQL or Excel skills with the ability to learn other analytic tools.

· Excellent interpersonal and customer service skills.

· Excellent organizational skills and attention to detail.

· Ability to multi-task and work in a fast-paced environment.

· Excellent time management skills with a proven ability to meet deadlines.

· Strong analytical and problem-solving skills.

· Ability to analyze metrics and create reports.

· Strong computer skills.

· Ability to make sound judgement calls and use discretion.

Preferred Experience:

· Prior exposure to any ERP or business-systems platform (agribusiness industry systems a plus, but not expected).

· Familiarity with basic data/reporting tools (Excel at a minimum; SQL or BI tooling a plus).

· Exposure to data engineering fundamentals; building or maintaining simple data pipelines, working with APIs, or scripting data transformations, with working knowledge of Python a plus, though not expected at this level.

· Background in agriculture preferred