3 дня назад
Lead Data Analyst (Marketing Analytics)
107 000 - 171 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Analyst (Marketing Analytics): Designing and leading marketing analytics programs that integrate multi-channel data into measurement strategies, predictive models, and business outcomes with an accent on personalization, attribution, media mix optimization, and customer segmentation. Focus on building test frameworks, ARIMAX forecasting models, machine learning solutions, and client-facing insights while leading cross-functional projects.
Location: Remote role associated with Westlake, Ohio, USA
Salary: USD 107,000–171,200 per year
Company
provides marketing, packaging, print, and supply chain solutions for clients worldwide.
What you will do
- Partner with client leaders to develop marketing analytics strategies supporting personalization, attribution, and media mix optimization.
- Translate complex customer behavior data into scalable cross-channel insights frameworks.
- Lead cross-functional analytics initiatives and enterprise-wide insights projects.
- Represent analytics expertise in client consultations, strategic planning, insight development, and solution design.
- Design and oversee test frameworks, predictive modeling, and audience performance measurement initiatives.
- Provide thought leadership and mentor junior analysts in advanced analytics techniques.
Requirements
- Bachelor’s degree in a quantitative field; a graduate degree is preferred.
- At least 9 years of experience in advanced marketing or product analytics.
- Expertise in Python and/or R, with mandatory proficiency in SQL and independent data extraction capabilities.
- Strong knowledge of probability theory, linear, logistic, and multinomial regression, machine learning ensembles, customer or store segmentation, and custom modeling.
- Experience with client consulting, executive-level presentations, storytelling, project leadership, and mentoring.
- Basic data engineering skills and experience with version control such as Azure DevOps or Git.
Nice to have
- Experience in retail, financial services, automotive, or CPG.
- ARIMAX forecasting, marketing mix modeling, multi-touch attribution, causal analysis, and attitudinal research experience.
- Microsoft Fabric, Snowflake, AWS, Databricks, PySpark, Snowpark, Pandas, graph databases, NoSQL, Google Analytics, BigQuery, Tableau, or Power BI experience.
- Experience using generative AI for coding, research, methodology summaries, and client-facing presentations.
Culture & Benefits
- Full-time employment in a dynamic, fast-paced environment.
- Medical, dental, and vision coverage.
- Paid time off, disability insurance, life insurance, and parental leave.
- 401(k) with company match.
- Adoption assistance, tuition assistance, and employer or partner discounts.
Hiring process
- Employment offers are contingent on successfully completing a pre-employment background check and drug screen.
- Interviews are expected to be completed without AI tools.
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