About the Company
EEC Irrigation is an irrigation products and services company based in Charleston, South Carolina, serving customers who depend on reliable, well-managed water solutions. The company operates in a hands-on, operations-driven environment where accurate data and timely information directly support day-to-day business decisions. With a dedicated Data Information department, EEC Irrigation is building the analytical infrastructure needed to scale its reporting capabilities and improve data reliability across the organization.
About the Role
This is a mid-level Data Analyst role where your work will have immediate, visible impact — cleaning up the data foundation the team relies on, eliminating manual reporting bottlenecks, and giving stakeholders reliable answers faster. You'll operate with real ownership, partnering cross-functionally to fix problems at the source rather than patching outputs. If you want a role where better data infrastructure you build becomes the reference the whole team depends on, this is it.
Responsibilities
- Audit every data source, pipeline, and reporting asset used by the Data Information department within your first 60 days, producing a centralized reference inventory that becomes the team's go-to answer for "where does this data come from?"
- Identify the highest-impact data quality issues affecting key business reports, trace them to their upstream origins, and work directly with source-system owners to resolve them — targeting a 30% reduction in error and discrepancy reports raised by stakeholders by month six.
- Partner with upstream data owners and source-system teams to implement fixes and validation checks that prevent recurring data issues from resurfacing downstream.
- Design and deliver at least two self-service dashboards or automated reports by month four, purpose-built to replace recurring manual data pulls — cutting average report turnaround time from days to minutes for those use cases.
- Translate complex data findings into clear, actionable communication for non-technical business stakeholders, ensuring decisions are grounded in data they can trust and understand.
- Maintain living documentation of data assets, definitions, and resolution decisions so that institutional knowledge stays with the team, not siloed with individuals.
What we're looking for
- Has completed a formal audit or inventory of data sources and pipelines and produced documentation that a team actively uses as a reference — not a one-time deliverable that sat in a folder.
- Has diagnosed data quality issues end-to-end, including tracing problems to upstream sources and collaborating with source-system owners to resolve them, with demonstrated reduction in downstream errors as an outcome.
- Has built self-service dashboards or automated reports that replaced recurring manual processes, with measurable improvements in turnaround time or analyst capacity.
- Has communicated data analysis, data quality findings, and proposed solutions clearly to business stakeholders without a technical background — adjusting depth and framing to match the audience.
- Comfortable working in a hybrid, cross-functional environment where priorities can shift based on stakeholder needs and you'll need to manage multiple workstreams simultaneously.
Nice to have
- Experience working in an operations-heavy or field-services industry such as manufacturing, agriculture, utilities, or similar — where data connects to physical assets and on-the-ground workflows.
- Familiarity with irrigation, supply chain, or asset-based business data models.
- Has authored or maintained a data dictionary or business glossary that improved consistency across reporting and analysis.
- Has written SQL-based data transformations or managed lightweight ETL pipelines to support cleaner, more reliable data flows.
Benefits
- Hybrid work model based in Charleston, SC — flexibility to balance focused individual work with in-person collaboration.
- A role with real scope and ownership from day one, not a support function waiting for tickets.
- Opportunity to shape the data infrastructure and reporting practices of a growing analytics function at a critical stage.
- Collaborative department environment where your documentation, dashboards, and quality improvements will be felt across the business.
- Competitive compensation commensurate with demonstrated experience and impact.