Job Title : Senior Marketing Data Analyst
Company : Pond Lehocky
Location : Philadelphia, PA (MUST BE IN THE PHILADELPHIA AREA, ROLE REQUIRES IN-OFFICE DAYS)
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 modelingExperience 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 MarketingExperience 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.