diff --git a/api/app_analytics/management/commands/migrate_analytics.py b/api/app_analytics/management/commands/migrate_analytics.py
new file mode 100644
index 000000000000..cb01f1f41c9a
--- /dev/null
+++ b/api/app_analytics/management/commands/migrate_analytics.py
@@ -0,0 +1,19 @@
+import argparse
+from typing import Any
+
+from app_analytics.migrate_to_pg import migrate_feature_evaluations
+from django.core.management import BaseCommand
+
+
+class Command(BaseCommand):
+    def add_arguments(self, parser: argparse.ArgumentParser) -> None:
+        parser.add_argument(
+            "--migrate-till",
+            type=int,
+            dest="migrate_till",
+            help="Migrate data till n days ago",
+            default=30,
+        )
+
+    def handle(self, *args: Any, migrate_till: int, **options: Any) -> None:
+        migrate_feature_evaluations(migrate_till)
diff --git a/api/app_analytics/migrate_to_pg.py b/api/app_analytics/migrate_to_pg.py
new file mode 100644
index 000000000000..c90ddbc17fdd
--- /dev/null
+++ b/api/app_analytics/migrate_to_pg.py
@@ -0,0 +1,28 @@
+from app_analytics.constants import ANALYTICS_READ_BUCKET_SIZE
+from app_analytics.influxdb_wrapper import influxdb_client, read_bucket
+from app_analytics.models import FeatureEvaluationBucket
+
+
+def migrate_feature_evaluations(migrate_till: int = 30) -> None:
+    query_api = influxdb_client.query_api()
+
+    for i in range(migrate_till):
+        range_start = f"-{i+1}d"
+        range_stop = f"-{i}d"
+        query = f"from (bucket: {read_bucket}) |> range(start: {range_start}, stop: {range_stop})"
+
+        result = query_api.query(query)
+
+        feature_evaluations = []
+        for table in result:
+            for record in table.records:
+                feature_evaluations.append(
+                    FeatureEvaluationBucket(
+                        feature_name=record.values["feature_id"],
+                        bucket_size=ANALYTICS_READ_BUCKET_SIZE,
+                        created_at=record.get_time(),
+                        total_count=record.get_value(),
+                        environment_id=record.values["environment_id"],
+                    )
+                )
+        FeatureEvaluationBucket.objects.bulk_create(feature_evaluations)
diff --git a/api/tests/unit/app_analytics/test_migrate_to_pg.py b/api/tests/unit/app_analytics/test_migrate_to_pg.py
new file mode 100644
index 000000000000..d744f631c42a
--- /dev/null
+++ b/api/tests/unit/app_analytics/test_migrate_to_pg.py
@@ -0,0 +1,67 @@
+import pytest
+from app_analytics.migrate_to_pg import migrate_feature_evaluations
+from app_analytics.models import FeatureEvaluationBucket
+from django.conf import settings
+from django.utils import timezone
+from pytest_mock import MockerFixture
+
+
+@pytest.mark.skipif(
+    "analytics" not in settings.DATABASES,
+    reason="Skip test if analytics database is not configured",
+)
+@pytest.mark.django_db(databases=["analytics", "default"])
+def test_migrate_feature_evaluations(mocker: MockerFixture) -> None:
+    # Given
+    feature_name = "test_feature_one"
+    environment_id = "1"
+
+    # mock the read bucket name
+    read_bucket = "test_bucket"
+    mocker.patch("app_analytics.migrate_to_pg.read_bucket", read_bucket)
+
+    # Next, mock the influx client and create some records
+    mock_influxdb_client = mocker.patch("app_analytics.migrate_to_pg.influxdb_client")
+    mock_query_api = mock_influxdb_client.query_api.return_value
+    mock_tables = []
+    for i in range(3):
+        mock_record = mocker.MagicMock(
+            values={"feature_id": feature_name, "environment_id": environment_id},
+            spec_set=["values", "get_time", "get_value"],
+        )
+        mock_record.get_time.return_value = timezone.now() - timezone.timedelta(days=i)
+        mock_record.get_value.return_value = 100
+
+        mock_table = mocker.MagicMock(records=[mock_record], spec_set=["records"])
+        mock_tables.append(mock_table)
+
+    mock_query_api.query.side_effect = [[table] for table in mock_tables]
+
+    # When
+    migrate_feature_evaluations(migrate_till=3)
+
+    # Then - only 3 records should be created
+    assert FeatureEvaluationBucket.objects.count() == 3
+    assert (
+        FeatureEvaluationBucket.objects.filter(
+            feature_name=feature_name,
+            environment_id=environment_id,
+            bucket_size=15,
+            total_count=100,
+        ).count()
+        == 3
+    )
+    # And, the query should have been called 3 times
+    mock_query_api.assert_has_calls(
+        [
+            mocker.call.query(
+                f"from (bucket: {read_bucket}) |> range(start: -1d, stop: -0d)"
+            ),
+            mocker.call.query(
+                f"from (bucket: {read_bucket}) |> range(start: -2d, stop: -1d)"
+            ),
+            mocker.call.query(
+                f"from (bucket: {read_bucket}) |> range(start: -3d, stop: -2d)"
+            ),
+        ]
+    )