File Format - Employee

Employee File Format

The first line of an Employee CSV file must be the header row.

An employee instance is a group of rows in the CSV file that are sequential and include the same required fields. Data relating to fields specified under Base Headers and Multi-Column Headers must be specified in the first row of an employee instance. Additional rows of an employee instance may only include fields specified under Multi-Row Headers.

Required Headers

To successfully import an employee CSV file, the following columns must be included in the header row:

Column NameDescriptionType
Employee ID (Required)Identification string for an employee. This employee identifier is referenced by other entities such as stores, order, customers, tasks, etc.
Must be unique for each employee
string
Store ID (Required)ID of the store in which the employee belongs to. Must map to a store that exists in the store data.string
Display Name (Required)Display Name of the employeestring
First Name (Recommended)Employee’s first/given namestring
Last Name (Required)Employee’s last/family namestring
Mobile Number (See Note)Employee’s cell phone numberstring (E164 format)
ImageURL to an image to be used with this employeestring
Email (Required)Employee’s emailstring
Disabled (Required)Whether or not this employee is disabledboolean
GroupsMay Be RequiredSee below
Custom AttributesSee below

Note: If in two or more sequential rows Store ID, Display Name, and Employee ID are not the same, each row will be considered and processed as different employees. All three must be the same throughout multiple rows in order to ensure they are treated as one employee instance.

Note: If no mobile number is provided but exists in Tulip for the employee already, then the mobile number will NOT be erased. You are not able to unassign a mobile number for an employee through File Importer. You are able manage the employee mobile number via Admin Console.

Groups

A group is a class of headers that relate to one another. Groups may allow for multiple pieces of information to be presented. For example, a customer can have multiple emails, addresses, phone numbers, and more.

Employee groups include the following – see below for details:

Authorized User (Required)

An Authorized User includes four headers, two of which are required if an authorized user is specified. Three of these headers are similar to Base Fields in nature, in that they may only be specified once in the first row of a new employee instance. However, there are two ways of formatting the fourth row: using a Multi-Row Approach, or a Multi-Column Approach.

Multi-Row Approach

In this approach, one column header is used alongside multiple rows of data. To allow for multiple rows of data, additional rows must include the same Required Headers fields.

Multi-Column Approach

In this approach, one column header may be used many times alongside one row (the first row) of an employee instance. To use this column multiple times, an identifying number must exist for N and be unique for each new column.

These three columns may only be specified once for an Authorized User:

Column NameDescriptionType
Authorized User Username (Required)Username for the authorized user.
This is required if an authorized user is specified
string
Authorized User Password (Required)DO NOT SEND PASSWORDS. Send a blank for this value.
Passwords can be reset via Tulip Self-Serve Tools.
string
Authorized User Disabled (Required)Whether or not the authorized user is disabled. Send False when the user should be allowed to login.boolean

This is the fourth column, which may use a Multi-Row Approach, or a Multi-Column Approach:

Multi-Row Approach
Column Name
Multi-Column Approach
Column Name
DescriptionType
Authorized User Role IDAuthorized User Role ID NInternal Role IDs associated with
the authorized user. 1 - Associate and 2 - Manager
integer

Where N is some positive integer

Localized Data (Optional)

There are two ways that localized data can be formatted in your CSV file: A Multi-Row Approach or Multi-Column Approach.

Multi-Row Approach

In this approach, one set of column headers is used alongside multiple rows of data. To allow for multiple rows of data, additional rows must include the same Required Headers fields.

Multi-Column Approach

In this approach, multiple sets of column headers may be used alongside one row (the first row) of an employee instance. To use these columns multiple times, an identifying number must exist for N and be unique for every new set of columns.

Columns from the Multi-Row Approach cannot be mixed with columns from the Multi-Column Approach in a CSV file for the Localized Data group.

The following columns may be included:

Multi-Row Approach
Column Name
Multi-Column Approach
Column Name
DescriptionType
Localized Job TitleLocalized Job Title NDescription of the employee job title localized to the specified languagestring
Localized Language IDLocalized Language ID NID of the language in which the record appears.
Integers will be resolved to internal identifiers
integer, string

Where N is some positive integer.

Custom Attributes (Optional)

There are two ways that custom attributes can be formatted in your CSV file: A Multi-Row Approach or Multi-Column Approach.

Multi-Row Approach

In this approach, one set of column headers is used alongside multiple rows of data. To allow for multiple rows of data, additional rows must include the same Required Headers fields.

Multi-Column Approach

In this approach, multiple sets of column headers may be used alongside one row (the first row) of an employee instance. To use these columns multiple times, an identifying number must exist for N and be unique for every new set of columns.

Columns from the Multi-Row Approach cannot be mixed with columns from the Multi-Column Approach in a CSV file for the Custom Attributes group.

The following columns may be included:

Multi-Row Approach
Column Name
Multi-Column Approach
Column Name
DescriptionType
Custom Attribute IDCustom Attribute N IDIdentifier of the custom attributestring
Custom Attribute ValueCustom Attribute N ValueValue of the attributestring
Custom Attribute Language IDCustom Attribute N Language IDLanguage of the attribute.
Integers will be resolved to internal identifiers
integer, string

Where N is some positive integer.

Employee CSV Example

See the following Employee CSV sample file.

Employee Sample 1