Job Title: Senior Marketing Data Analyst
Company: Pond Lehocky
Location: Philadelphia, PA
About Us: Pond Lehocky is a prominent law firm dedicated to advocating for clients in workers’ compensation and personal injury cases. We pride ourselves on our fast-paced, data-driven marketing culture and are seeking a Senior Marketing Data Analyst to help us leverage data for strategic decision-making and improved client engagement.
Position Overview: As a Senior Marketing Data Analyst, you will be an integral part of our marketing team, partnering with cross-functional teams throughout the entire lifecycle of data analysis. You will transform complex datasets into actionable insights, guiding our marketing strategies and enhancing our overall performance.
Key Responsibilities:
- Collaborate with various teams on data science initiatives, from ideation and exploratory analysis to running experiments and building dashboards and reports.
- Analyze complex datasets to identify trends and develop actionable insights that align with business objectives.
- Develop, own, and manage recurring analytical and reporting processes.
- Prepare and deliver visualizations and presentations that communicate analytic insights in a clear and impactful manner to both technical and non-technical stakeholders.
- Proactively convey complex analytical findings, ensuring clarity and understanding across teams.
Qualifications:
- Personal Attributes:
- Data-driven, intellectually curious, and technically rigorous with a strong ability to communicate insights clearly.
- Eager to learn and embrace new technologies and solutions.
- Solid understanding of marketing concepts, including advertising, distribution, and campaign strategies.
- A collaborative team player with a positive outlook, eager to uplift and energize those around you.
Key Competencies:
- Marketing Analytics:
- Familiarity with various marketing channels and their impact on business performance.
- Knowledge of industry trends and best practices in marketing analytics.
- Experience with experiment design, including A/B testing and multi-touch attribution modeling.
- Expertise in analyzing marketing performance metrics and calculating ROI.
Statistical Modeling and Analysis:
- Proficient in predictive modeling, cluster analyses, marketing mix modeling, and multi-touch attribution modeling
- Experience with statistical software such as SQL, R, Python, and Power BI.
Nice to Haves:
- Experience in data visualization and familiarity with Salesforce.
- Knowledge of marketing research methodologies and tools.
- Experience with: Social Media Marketing, Out-Of-Home (OOH) Marketing, Search Engine Optimization (SEO), Conversion Rate Optimization (CRO), Over-The-Top (OTT) Advertising and Broadcast TV Marketing
- Experience in developing and implementing machine learning algorithms for predictive insights.
- Ability to translate business requirements into AI/ML models, delivering actionable insights and solutions that support strategic decision-making.
- Strong grasp of supervised and unsupervised learning methods, feature engineering, and model performance optimization.