Real-Time Financial Sector Data | Global | Bankers, Investment Managers, Analysts | Work & Personal Emails, Mobile Numbers
# | list_name |
email_type |
email_status |
domain |
linkedin_profile_url |
company_founded |
company_funding |
company_type |
company_twitter |
company_facebook |
company_last_funding_round |
company_last_funding_amount |
company_last_funding_at |
company_location |
other_work_emails |
sub_title |
summary |
months_at_current_position |
months_at_current_company |
is_premium |
open_to_work |
person_industry |
skills |
languages |
certifications |
education |
work_history |
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1 | xxxxxxxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxxxx | xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxx | xxxxxx | xxxxxxx | xxxxxxx | Xxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | xxxxxx | Xxxxxxxx | Xxxxxxx | Xxxxx | xxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx |
2 | xxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxx | Xxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx |
3 | xxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxx | Xxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | Xxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | Xxxxx | Xxxxx |
4 | Xxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxx | xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx |
5 | xxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxx | xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxx | xxxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxx | Xxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx |
6 | Xxxxxxx | xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxxx | xxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | xxxxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx |
7 | Xxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxx | Xxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxx | xxxxxx | Xxxxx | Xxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxxx | Xxxxxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | Xxxxxxxxxx | xxxxx | xxxxxxx | xxxxxxxxx | xxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxx | xxxxxx | xxxxx | xxxxx | Xxxxxxxxx |
8 | xxxxx | Xxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxxx | Xxxxxxxx | Xxxxxxxxx | Xxxxxxxxxx | xxxxxx | Xxxxx | Xxxxxxxx | xxxxxx | Xxxxx | Xxxxxx | xxxxxx | xxxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | Xxxxxxx | Xxxxxx | Xxxxxx | xxxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxxxxxxx | xxxxxx | xxxxxxxxxx | xxxxxx | xxxxxx | Xxxxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxxx | Xxxxx | xxxxx | xxxxxx | Xxxxxx | xxxxxxxxxx |
9 | xxxxxxxxxx | Xxxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxxxxx | Xxxxxxxx | xxxxxx | xxxxxx | Xxxxxx | xxxxxx | xxxxx | Xxxxxxxxx | Xxxxxxxxx | Xxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxx | Xxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxxxxxxx | xxxxxx | Xxxxxxx | Xxxxx | xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | Xxxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxxx | xxxxx | xxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxx | xxxxxxxxxx | xxxxxxxx | xxxxxxxxxx | Xxxxx | Xxxxxx | Xxxxxx | xxxxxx | Xxxxxxxx | Xxxxx | xxxxx |
10 | Xxxxxxxxxx | xxxxxx | xxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | xxxxxxxxxx | xxxxxxx | xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxx | Xxxxxx | xxxxxxxx | xxxxx | Xxxxxxxxxx | Xxxxx | xxxxxxx | xxxxxxxx | xxxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxxxxx | xxxxxxxx | xxxxxxxx | xxxxxx | Xxxxxxxx | xxxxx | Xxxxx | Xxxxxxxxx | xxxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxx | Xxxxxxxx | Xxxxx | Xxxxxxxx | Xxxxxxxxx | xxxxxxxxxx | Xxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxxxxx | Xxxxxx | xxxxxxxx | xxxxxx |
... | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxx | Xxxxxx | Xxxxxxxxxx | xxxxxxxxxx | Xxxxxxxxx | xxxxxxxx | xxxxxxx | xxxxx | Xxxxxxx | xxxxxxxxx | Xxxxxxx | xxxxxxxx | xxxxxxxxxx | xxxxxxxxx | xxxxxxxx | xxxxxxxxx | Xxxxx | xxxxx | xxxxxxx | xxxxxxxx | xxxxxx | xxxxxxx | Xxxxx | Xxxxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxxxx | Xxxxxxxx | xxxxxxxxx | xxxxxxx | xxxxxx | Xxxxxxxxxx | Xxxxxx | Xxxxxxxx | xxxxxxxxxx | Xxxxxxx | xxxxxxxxxx | Xxxxxxxxxx | xxxxxxxxx | xxxxxxxxx | Xxxxxx | Xxxxxxx | Xxxxxxxx | xxxxxxx | xxxxxxx | Xxxxxxxx | xxxxxxx | Xxxxxxx | Xxxxxxx | Xxxxxxxxx | Xxxxx | xxxxx |
Data Dictionary
Attribute | Type | Example | Mapping |
---|---|---|---|
list_name
|
String | Financial Professionals | |
email_type
|
String | work | |
email_status
|
String | valid | |
String | Contact Work Email Address | ||
String | Contact Full Name | ||
String | Contact First Name | ||
String | Contact Last Name | ||
String | Founder & CEO | Job Title | |
String | New York, New York, United States | Location Name | |
String | New York | City Name | |
String | New York | State Name | |
String | United States | Country Name | |
String | Contact LinkedIn | ||
domain
|
String | ||
Integer | Contact Phone Number | ||
Integer | Contact Phone Number | ||
Integer | Contact Phone Number | ||
Integer | Contact Mobile Phone Number | ||
Integer | Company Phone Number | ||
String | Contact Email Address | ||
String | Wiza | Company Name | |
linkedin_profile_url
|
String | ||
String | wiza.com | Company Domain | |
String | Software Development | Company Industry | |
String | Lead Generation Software | Company Industry | |
Integer | 12 | Company Employee Count | |
String | 11-50 | Company Employee Count | |
company_founded
|
String | 2019 | |
Integer | 10000000 | Company Annual Revenue | |
company_funding
|
Integer | 0 | |
company_type
|
String | Private | |
String | https://www.linkedin.com/company/wizainc/ | Company LinkedIn | |
company_twitter
|
String | https://x.com/wiza_co | |
company_facebook
|
String | https://www.facebook.com/p/Wiza-100057334364194/ | |
String | The world's most accurate source of contact data | Company Description | |
company_last_funding_round
|
String | Series A | |
company_last_funding_amount
|
String | 20000000 | |
company_last_funding_at
|
String | 2021-06 | |
company_location
|
String | Newark, Delaware, United States | |
String | 2035 Sunset Lake Road | Company Address | |
String | Newark | Company Address | |
String | Delaware | Company Address | |
String | United States | Company Address | |
other_work_emails
|
|||
Linkedin Subtitle
|
String | Executive Director, Investment Specialist at J.P. Morgan ... | |
Linkedin summary
|
String | As an Executive Director and Investment Specialist at J.P... | |
Linkedin months in position
|
String | 60 | |
Linkedin months at company
|
String | 60 | |
String | Wiza is a prospecting tool in a league of it's own, helpi... | Job Description | |
Linkedin is_premium
|
Boolean | TRUE | |
Linkedin Open to work
|
Boolean | FALSE | |
Linkedin person industry
|
String | Internet | |
Linkedin skills
|
String | ["Fixed Income", "Financial Structuring", "Capital Market... | |
Linkedin Languages
|
String | [{"name":"English","proficiency":"NATIVE_OR_BILINGUAL"},{... | |
Linkedin certifications
|
String | [{"name":"Chartered Financial Analyst (CFA) Charterholder... | |
Linkedin education
|
String | [{"date":{"start":{"month":null,"day":null,"year":2001},"... | |
Linkedin work history
|
String | [{"company":{"id":1067,"name":"J.P. Morgan","logo":"https... |
Attribute | Type | Example | Mapping |
---|---|---|---|
Email Type
|
String | work | |
Email Status
|
String | valid | |
String | Contact Email Address | ||
String | Contact Email Address | ||
String | Contact Full Name | ||
String | Contact First Name | ||
String | Contact Last Name | ||
String | Founder & CEO | Contact Job Title | |
String | New York, New York, United States | Location Name | |
String | New York | City Name | |
String | New York | State Name | |
String | United States | Country Name | |
String | Contact LinkedIn | ||
Integer | Contact Phone Number | ||
Integer | Contact Phone Number | ||
Integer | Contact Phone Number | ||
Integer | Contact Mobile Phone Number | ||
Integer | Company Phone Number | ||
String | https://wiza.co/ | Company Domain | |
String | Wiza | Company Name | |
String | Software Development | Company Industry | |
String | Lead Generation Software | Company Industry | |
Integer | 15 | Company Employee Count | |
Text | 11-50 | Company Employee Count | |
company founded
|
Integer | 2019 | |
Integer | 10000000 | Company Annual Revenue | |
company funding
|
Integer | 0 | |
company type
|
String | Private | |
String | https://www.linkedin.com/company/wizainc/ | Company LinkedIn | |
company twitter
|
String | https://x.com/wiza_co?lang=en | |
company facebook
|
String | https://www.facebook.com/p/Wiza-100057334364194/ | |
String | The world's most accurate source of contact data | Company Description | |
company_last_funding_round
|
String | Series A | |
company_last_funding_amount
|
String | 20000000 | |
company_last_funding_at
|
Date | 2021-06 | |
String | Newark, Delaware, United States | Company Address | |
String | 2035 Sunset Lake Road | Company Address | |
String | Newark | Company Address | |
String | Delaware | Company Address | |
String | United States | Company Address | |
Linkedin Subtitle
|
String | Founder & CEO of Wiza | |
Linkedin summary
|
String | After a short career in sales, I created Wiza to help sal... | |
Linkedin months in position
|
Integer | 60 | |
Linkedin months at company
|
Integer | 60 | |
String | Wiza is a prospecting tool in a league of it's own, helpi... | Job Description | |
Linkedin is_premium
|
Boolean | TRUE | |
Linkedin Open to work
|
Boolean | FALSE | |
Linkedin person industry
|
String | Internet | |
Linkedin skills
|
Text | ["Go-to-Market Strategy", "Analytics", "Project Managemen... | |
Linkedin Languages
|
Text | [{"name":"English","proficiency":"NATIVE_OR_BILINGUAL"},{... | |
Linkedin certifications
|
Text | [{"name":"California License Solar Contractor","date":{"s... | |
Linkedin education
|
Text | [{"date":{"start":{"month":null,"day":null,"year":2012},"... | |
Linkedin work history
|
Text | [{"company":{"id":157261,"name":"Danaher Corporation","lo... |
Description
Country Coverage
History
Volume
1 billion | Contacts |
150 million | Direct Dial Phone Numbers |
800 million | Valid Emails |
500 million | Personal Emails |
Pricing
License | Starts at |
---|---|
One-off purchase |
$1,000 / purchase |
Monthly License |
$199 / month |
Yearly License |
$1,990 / year |
Usage-based |
$0.05 / API call |
Suitable Company Sizes
Quality
Delivery
Use Cases
Categories
Related Searches
Related Products
Frequently asked questions
What is Real-Time Financial Sector Data Global Bankers, Investment Managers, Analysts Work & Personal Emails, Mobile Numbers?
Wiza offers real-time verified financial sector data globally. Access contact details of bankers, investment managers, and analysts with work and personal emails and mobile numbers. We leverage Linkedin Data to provide the most comprehensive and up-to-date Person/Company Data.
What is Real-Time Financial Sector Data Global Bankers, Investment Managers, Analysts Work & Personal Emails, Mobile Numbers used for?
This product has 5 key use cases. Wiza recommends using the data for Finance, B2B Data Enrichment, Company Data Enrichment, Contact Data Enrichment, and B2B Lead Generation. Global businesses and organizations buy B2B Leads Data from Wiza to fuel their analytics and enrichment.
Who can use Real-Time Financial Sector Data Global Bankers, Investment Managers, Analysts Work & Personal Emails, Mobile Numbers?
This product is best suited if you’re a Small Business, Medium-sized Business, or Enterprise looking for B2B Leads Data. Get in touch with Wiza to see what their data can do for your business and find out which integrations they provide.
How far back does the data in Real-Time Financial Sector Data Global Bankers, Investment Managers, Analysts Work & Personal Emails, Mobile Numbers go?
This product has 0 years of historical coverage. It can be delivered on a daily, weekly, monthly, quarterly, yearly, real-time, and on-demand basis.
Which countries does Real-Time Financial Sector Data Global Bankers, Investment Managers, Analysts Work & Personal Emails, Mobile Numbers cover?
This product includes data covering 249 countries like USA, China, Japan, Germany, and India. Wiza is headquartered in United States of America.
How much does Real-Time Financial Sector Data Global Bankers, Investment Managers, Analysts Work & Personal Emails, Mobile Numbers cost?
Pricing for Real-Time Financial Sector Data Global Bankers, Investment Managers, Analysts Work & Personal Emails, Mobile Numbers starts at USD0.05 per API call. Connect with Wiza to get a quote and arrange custom pricing models based on your data requirements.
How can I get Real-Time Financial Sector Data Global Bankers, Investment Managers, Analysts Work & Personal Emails, Mobile Numbers?
Businesses can buy B2B Leads Data from Wiza and get the data via S3 Bucket, Email, and REST API. Depending on your data requirements and subscription budget, Wiza can deliver this product in .csv and .xls format.
What is the data quality of Real-Time Financial Sector Data Global Bankers, Investment Managers, Analysts Work & Personal Emails, Mobile Numbers?
Wiza has reported that this product has the following quality and accuracy assurances: 100% Linkedin Profile Coverage, 99% email deliverability, 80% valid email match rate. You can compare and assess the data quality of Wiza using Datarade’s data marketplace. Wiza has received 2 reviews from clients.
What are similar products to Real-Time Financial Sector Data Global Bankers, Investment Managers, Analysts Work & Personal Emails, Mobile Numbers?
This product has 3 related products. These alternatives include LinkedIn Profile Database 2024 Buy LinkedIn Public Profile Dataset LinkedIn Contact Database 300M+Linekdin Profiles, Global B2B Leads Data 164M Verified Emails & 90M Mobile Numbers 95% Accuracy Bi-Weekly Updates, and LinkedIn Data Energy Professionals Worldwide Verified Work Emails & Professional Histories Best Price Guarantee. You can compare the best B2B Leads Data providers and products via Datarade’s data marketplace and get the right data for your use case.