Merkle Inc. is looking to solve complex analytics projects and provide accurate, timely results that align with client requirements.
Requirements
- Experience with SQL, Python, and Alteryx for custom data extractions, analysis, and automations supporting decision making.
- Experience developing ETL pipelines.
- Experience creating machine learning and predictive analytics models.
- Experience analyzing large datasets including clickstream data.
- Experience with Tableau and Power BI to create dashboards and reports.
- Experience in Adobe Analytics or Google Analytics for granular web and marketing insights, customer journey analysis, and segmentation.
- Experience with A/B testing, multivariate testing, and conversion optimization.
Responsibilities
- Manage complex analytics projects ensuring accurate, timely results that align with client requirements.
- Collaborate with Audience Analytics, Data Science, Marketing, and Product teams to design and implement analytics solutions.
- Define measurement frameworks across the full marketing funnel, aligning KPIs with business objectives.
- Design analytics solutions tailored to client objectives, develop customized measurement and testing frameworks and defining data flows for comprehensive reporting.
- Effectively communicate analytics insights to stakeholders.
- Drive innovation in analytics methodologies, refining workflows and creating scalable solutions that address needs.
- Establish and promote analytics best practices to enhance performance and ensure consistency.
Other
- Requires a Master's degree or foreign equivalent in Statistics, Engineering or related field and at least one (1) year of experience as a Senior Analytics Analyst or related occupation.
- Experience managing and mentoring 1-3 people (including remote workers).
- Must have analytics consulting experience in retail or B2B with client engagement, requirements gathering, and project coordination.
- Anticipate project risk and constraints and proactively create solutions.
- Develop documents to facilitate knowledge sharing and support continuous improvement of the analytics team.
