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.