Über
TOP 3 SKILLS:
2-3 years of hands-on experience in quantitative analysis, with experience using statistical modeling and data science models to solve complex business problems. Strong proficiency in SQL-like languages, Microsoft Excel/Power Pivot, and data visualization tools such as Tableau and Power BI. Experience working with SaaS or subscription business data, including building, training, and applying statistical/data science models for business insights.
Company: Our client is a global leader in creative software, offering innovative tools for digital media creation, design, and marketing.
Duties:
Apply your expertise in quantitative analysis and data modeling to uncover deep insights into customer behavior and trends. Act as a thought partner to business leads and influence decisions through compelling data-driven storytelling. Identify business opportunities, build use cases, and recommend data science initiatives to inform our product roadmap. Tackle critical business challenges with data science models to drive scalable and programmatic business solutions. Recommend and implement testing ideas based on detailed analysis.
Skills:
2-3 years hands-on experience doing quantitative analysis ideally in tech or management consulting. Demonstrable experience using quantitative analysis/statistical modeling on data sets to tackle intricate business problems. Phenomenal at telling stories with data and communicating it to partners at all levels to influence critical decision making. Strong proficiency in querying and manipulating volumes of data sets for analytical purposes using SQL-like languages. Statistical Modeling in Microsoft Excel or Power Pivot. Experience building and training statistical/data science models. Experience with statistics in SaaS or Subscription Business model environment. Experience in Data Visualization tools, preferably, Tableau and Power BI. solid sense of self with an innate sense of curiosity. fast learner with desire to learn new things.
Education:
Bachelor's degree in quantitative fields, e.g., Computer Science, Math/Statistics, Economics, Physics, or equivalent practical experience. MBA or a master's degree is preferred.
BENEFITS SUMMARY:
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate or annual salary only, unless otherwise stated. In addition to base compensation, full-time roles are eligible for Medical, Dental, Vision, Commuter and 401K benefits with company matching.
IND123
Sprachkenntnisse
- English
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