diff --git a/etl/scripts-ccao-data-warehouse-us-east-1/ccao/ccao-land-land_nbhd_rate.R b/etl/scripts-ccao-data-warehouse-us-east-1/ccao/ccao-land-land_nbhd_rate.R
index 22a88d5ab..9aa97fa86 100644
--- a/etl/scripts-ccao-data-warehouse-us-east-1/ccao/ccao-land-land_nbhd_rate.R
+++ b/etl/scripts-ccao-data-warehouse-us-east-1/ccao/ccao-land-land_nbhd_rate.R
@@ -1,6 +1,7 @@
 library(arrow)
 library(aws.s3)
 library(dplyr)
+library(noctua)
 library(openxlsx)
 library(purrr)
 library(readr)
@@ -16,6 +17,8 @@ AWS_S3_WAREHOUSE_BUCKET <- Sys.getenv("AWS_S3_WAREHOUSE_BUCKET")
 input_bucket <- file.path(AWS_S3_RAW_BUCKET, "ccao", "land")
 output_bucket <- file.path(AWS_S3_WAREHOUSE_BUCKET, "ccao", "land")
 
+AWS_ATHENA_CONN_NOCTUA <- dbConnect(noctua::athena(), rstudio_conn_tab = FALSE)
+
 # Location of remote files
 remote_file_raw_nbhd_rate_2022 <- file.path(
   input_bucket, "nbhd_rate", "2022.xlsx"
@@ -51,8 +54,10 @@ aws.s3::save_object(
 )
 
 # List of regression classes
-class <- ccao::class_dict %>%
-  filter(regression_class) %>%
+class <- dbGetQuery(
+  AWS_ATHENA_CONN_NOCTUA,
+  "SELECT class_code FROM ccao.class_dict WHERE regression_class"
+) %>%
   pull(class_code)
 
 # Load the raw workbooks, rename and clean up columns