Lifecycle Marketing Data Analyst (Onsite)
Western & Southern Financial Group
- White Plains, NY
- $98,440 per year
- Permanent
- Full-time
- Join our Customer Lifecycle Marketing Analytics team in order to help us develop new methods and strategies to enhance the relationship we have with our customers
- This person will be responsible for supporting the development of lifecycle marketing strategies, building personalized propensity models, as well as communicating performance and recommendations to C-suite audiences
- This role will learn new measurement methods in customer strategy using our platforms like Google Cloud Platform and Salesforce.
- This is a high visibility/high impact role which will be supporting the Marketing department’s direction, along with company level goals & metrics
- Support the design of the customer engagement and lifecycle strategy to increase engagement and loyalty of our Members, including multi-product adoption, payments, and multi-channel communications
- Build credibility and rapport via strong analytical conclusions with cross-functional partners to help drive Member-focused change across all touchpoints
- Create and socialize impactful business recommendations by combining analytical problem solving and strategic storytelling skills
- Strong time management skills, to ensure timely completion of project milestones while keeping stakeholders informed
- Help design, launch, and analyze omni-channel communication (email, SMS, DM, push notifications, contact center) experiments and support scaling them into mature campaigns
- Support ongoing analysis of business and marketing performance required to inform company level decisions on a regular basis
- Support the development, and maintain the reporting, dashboards, analysis and models to hit KPIs
- Leverage strong analytical capabilities to solve non-routine problems
- Bachelor’s degree in marketing, Statistics, Mathematics, Economics, or a related field. A master’s degree is preferred.
- Proven experience (3 years) working in marketing analytics or a similar role, preferably in a fast-paced, data-driven environment.
- Strong expertise in developing and implementing Lifetime Value (LTV) models, customer segmentation, and customer lifetime behavior analysis.
- Proficiency in statistical analysis tools and programming languages such as Python, R, or SQL.
- Demonstrated experience working with marketing analytics platforms, web analytics tools, and data visualization tools (e.g., Google Analytics, Tableau, Power BI).
- Solid understanding of digital marketing channels, attribution models, and audience measurement methodologies.
- Strong analytical skills with the ability to work with large datasets and derive actionable insights.
- Excellent communication and presentation skills, with the ability to effectively convey complex analytical concepts to non-technical stakeholders.
- Strong problem-solving abilities and attention to detail.
- Ability to work both independently and collaboratively in a cross-functional team environment.
- A passion for staying ahead of industry trends and leveraging new technologies and methodologies to drive marketing success.
- This position works in an office setting and remains in a stationary position for long periods of time while working at a desk, on a computer or with other standard office equipment, or while in meetings.
- Position requires substantial movement of wrist, hands and fingers for continuous computer work.
- Bachelor’s degree in Statistics, Economics, Finance or Business Administration.
- Advanced degree in Analytics, Finance or MBA preferred.
- 3 years of experience within Insurance or Financial Services industry or withing Marketing analytics
- Interested in Marketing
- Advanced Excel skills
- Intermediate/advanced PowerPoint skills
- Strong quantitative and communication skills
- Must code in SQL and Python
- Proficient in new technology and/or data visualization platforms such as Power BI, Tableau, etc.
- Proficient in accessing data through Salesforce, DataMart, Google Cloud Platform(GCP), database, or Google Analytics (GA4)
- Familiarity with Cognos is a plus
- NA
- Extended hours required during the peak planning period (fall) or during special/ad hoc projects
- Some travel required
- Highly organized with an adherence to deadlines and commitments
- Ability to provide insight and direction to colleagues that do not possess similar skill sets