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--- a/documentation/analytics/usage.md
+++ b/documentation/analytics/usage.md
@@ -45,6 +45,7 @@ It should also open two new browser tabs, each with a separate report:
 - `make sprint-burndown` - Runs the sprint burndown report
 - `make percent-complete` - Runs the percent complete by deliverable report
 - `make sprint-reports` - Runs both percent complete and sprint burndown (without exporting data first)
+- `make gh-db-data-import` - Imports issue and sprint data to the analytics database
 
 ## Using the command line interface
 
@@ -96,6 +97,41 @@ Exporting project data works almost the same way, except it expects a `--project
 poetry run analytics export gh_project_data --owner HHS --project 13 --output-file data/sprint-data.json
 ```
 
+### Working with the Analytics database
+
+The following sections assume that the steps in our [development guide](development.md) have been completed first. This is especially helpful when seeding the database for local testing and development. Additionally, you will need to have [Docker Desktop](https://www.docker.com/products/docker-desktop/) installed.
+
+#### Importing Github data
+
+You can use the following command to import data to the analytics database.
+
+```bash
+poetry run analytics import db_import --sprint-file data/sprint-data.json  --issue-file data/issue-data.json
+```
+
+Some notes about this command:
+- `--sprint-file` and `--issue-file` refer to the files generated by their respective commands (e.g. `gh_issue_data `). When running the import command via `make` these flags are prepopulated with the relative paths: `data/issue-data.json` and `data/sprint-data.json`.
+
+The data from this command can be found in the `github_project_data` table.
+
+#### Viewing the data in the Terminal
+
+The database can be accessed locally by running the command `docker-compose up -d`. This will start the docker containers for Metabase and the analytics database in a detatched state. 
+
+In Docker desktop, navigate to the analytics database container and sign into the database `psql -U <database-user>`. From here, you can run SQL queries to view data.
+
+When finished, run `docker-compose down` to stop and remove all containers, networks and volumes associated with the analytics application. 
+
+#### Viewing the data in Metabase
+
+[Metabase](https://www.metabase.com/) is a buisness intelligence that lets you query, organize and view data with a friendly UX. In order to view data in Metabase, start the containers and then navigate to http://localhost:3100/.
+
+The first time you access Metabase you will be guided through a small setup process to sync the database to the platform.
+
+![Screenshot of the landing page in Metabase](../../analytics/static/screenshot-metabase-page.png)
+
+![Screenshot of a row of test data](../../analytics/static/screenshot-metabase-row-data.png)
+
 ### Calculating metrics
 
 #### Calculating sprint burndown