Cassandra Biano Email & Phone Number
Who is Cassandra Biano? Overview
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Cassandra Biano is listed as Data Analyst at Ministry of Business, Innovation and Employment at Ministry of Business, Innovation and Employment, a company with 3123 employees, based in Auckland, Auckland, New Zealand. AeroLeads shows a matched LinkedIn profile for Cassandra Biano.
Cassandra Biano previously worked as Data Analyst at Ministry Of Business, Innovation And Employment and Performance Analyst at Babcock Australia & New Zealand. Cassandra Biano holds Bachelor Of Mathematical Sciences, Analytics from Auckland University Of Technology.
Email format at Ministry of Business, Innovation and Employment
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About Cassandra Biano
Cassandra Biano is a Data Analyst at Ministry of Business, Innovation and Employment at Ministry of Business, Innovation and Employment. She possess expertise in mathematics, data analysis, rstudio, stochastic processes, analytics and 3 more skills.
Listed skills include Mathematics, Data Analysis, Rstudio, Stochastic Processes, and 4 others.
Cassandra Biano's current company
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Cassandra Biano work experience
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Performance Analyst
Data Analyst
Graduate Data Analyst
Math Tutor
Colleagues at Ministry of Business, Innovation and Employment
Other employees you can reach at mbie.govt.nz. View company contacts for 3123 employees →
Caitlin Elborough
Colleague at Ministry Of Business, Innovation And Employment
Wellington, Wellington, New Zealand, New Zealand
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LM
Lauren Mcclure
Colleague at Ministry Of Business, Innovation And Employment
Christchurch, Canterbury, New Zealand, New Zealand
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ES
Elena Sikorskaya
Colleague at Ministry Of Business, Innovation And Employment
Russia, Russian Federation
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CL
Co Land
Colleague at Ministry Of Business, Innovation And Employment
Ghana, Ghana
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N(
Nicola (Nic) M.
Colleague at Ministry Of Business, Innovation And Employment
Auckland, Auckland, New Zealand, New Zealand
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SC
Sarah Cox
Colleague at Ministry Of Business, Innovation And Employment
Wellington, New Zealand, New Zealand
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EP
Elise Procter
Colleague at Ministry Of Business, Innovation And Employment
Waikato, New Zealand, New Zealand
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HK
Heather Kirkham
Colleague at Ministry Of Business, Innovation And Employment
Wellington, New Zealand, New Zealand
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AT
Ari Thomason
Colleague at Ministry Of Business, Innovation And Employment
Wellington, Wellington, New Zealand, New Zealand
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JS
Jon Sowden
Colleague at Ministry Of Business, Innovation And Employment
Wellington, New Zealand, New Zealand
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Cassandra Biano education
Frequently asked questions about Cassandra Biano
Quick answers generated from the profile data available on this page.
What company does Cassandra Biano work for?
Cassandra Biano works for Ministry of Business, Innovation and Employment.
What is Cassandra Biano's role at Ministry of Business, Innovation and Employment?
Cassandra Biano is listed as Data Analyst at Ministry of Business, Innovation and Employment at Ministry of Business, Innovation and Employment.
Where is Cassandra Biano based?
Cassandra Biano is based in Auckland, Auckland, New Zealand while working with Ministry of Business, Innovation and Employment.
What companies has Cassandra Biano worked for?
Cassandra Biano has worked for Ministry Of Business, Innovation And Employment, Babcock Australia & New Zealand, and Numberworks'Nwords.
Who are Cassandra Biano's colleagues at Ministry of Business, Innovation and Employment?
Cassandra Biano's colleagues at Ministry of Business, Innovation and Employment include Caitlin Elborough, Lauren Mcclure, Elena Sikorskaya, Co Land, and Nicola (Nic) M..
How can I contact Cassandra Biano?
You can use AeroLeads to view verified contact signals for Cassandra Biano at Ministry of Business, Innovation and Employment, including work email, phone, and LinkedIn data when available.
What schools did Cassandra Biano attend?
Cassandra Biano holds Bachelor Of Mathematical Sciences, Analytics from Auckland University Of Technology.
What skills is Cassandra Biano known for?
Cassandra Biano is listed with skills including Mathematics, Data Analysis, Rstudio, Stochastic Processes, Analytics, Statistical Modelling, Sas, and Statistical Data Analysis.
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