Statistical Modelling jobs

Statistical Modelling 


Statistical Modelling is where data from multiple sources is drawn together and scrutinized in depth to pull together key insights into behaviors or trends that can be utilized by businesses to aid growth.
The need for Statistical Modelling is vital as it is both descriptive and predictive. A strong statistical analyst will be able to understand why customers do the things they do and predict what they will do next, to ensure that business and marketing spend is allocated accordingly to increase ROI and business growth. 

Defining Focus


Finding the right match of candidate and client requires an insight that we at Harnham know is critical to nurturing an existing customer base and for new business acquisition.
We can fine tune the search and help create the right partnerships. Call us to find out how on 212-796-6070 or email info@harnham.com 

Latest Jobs

Salary

US$190000 - US$230000 per year

Location

New York

Description

Are you a product owner with a highly statistical background and want to build a team with a leading eCommerce brand?

Salary

US$155000 - US$200000 per year

Location

New York

Description

Are you statistically savvy with a User Research background? One of the biggest names in streaming is looking to expand their team at a senior level!

Salary

US$155000 - US$175000 per year

Location

New York

Description

Do you have a passion for start-ups and have a broad background across marketing and advanced analytics?

Salary

US$175000 - US$200000 per annum

Location

New York

Description

This exciting company within the online marketplace domain in NYC is looking for their next Product Analytics Manager!

Salary

US$190000 - US$230000 per year

Location

New York

Description

Are you a Technical Product Manager looking for a new challenge where you will see the direct impact of your work?

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

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