Job summary
Job post source
This job is directly from Zenith
Job overview
The Senior Analyst, Data Science (Audience Solutions) at Zenith designs and implements statistical and machine learning models to link clients' marketing efforts to business outcomes, enhancing audience targeting and marketing effectiveness.
Responsibilities and impact
The role involves collaborating with planning, audience strategy, and analytics teams to solve marketing problems, designing and maintaining advanced statistical models, producing accurate analyses, and communicating results to various business units.
Experience and skills
Requires 1+ years of quantitative analysis experience, a STEM bachelor's degree or equivalent, strong SQL skills, proficiency in Python or R, and knowledge of statistical learning algorithms and marketing analytics tools.
Company overview
Zenith is a renowned Swiss watchmaker known for its precision timepieces and innovative craftsmanship. Founded in 1865 by Georges Favre-Jacot, the company has a rich history of pioneering advancements, including the creation of the first integrated automatic chronograph movement, the El Primero, in 1969. Zenith generates revenue through the sale of luxury watches, which are highly regarded for their quality and accuracy. The brand's commitment to excellence and innovation has solidified its reputation in the horology industry.
How to land this job
Tailor your resume to highlight your experience with statistical modeling, machine learning, and media analytics, especially emphasizing digital media and audience segmentation skills relevant to Zenith's Senior Analyst role.
Focus on showcasing your proficiency in SQL and at least one programming language like Python or R, alongside your understanding of mathematical modeling and key statistical learning algorithms mentioned in the job description.
Apply through multiple channels including Zenith's corporate careers page and LinkedIn to maximize your chances of being noticed for this position.
Connect with current employees in Zenith's Data Sciences or Audience Solutions teams on LinkedIn to gain insights and express your interest; ice breakers could include commenting on recent projects they've shared or asking about their experience working on audience strategy.
Optimize your resume for ATS by incorporating keywords such as 'statistical modeling,' 'machine learning,' 'audience segmentation,' 'SQL,' 'Python,' and specific algorithms like 'ARIMA' and 'Random Forest' to improve resume visibility.
Use Jennie Johnson's Power Apply feature to automate tailored applications, find multiple application portals, and identify LinkedIn contacts to network with, allowing you to focus your energy on preparing for interviews and refining your skills.
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