The LEX Marketing team is fast-paced, dynamic and creative, driving all prospecting/lead generation, retention and reactivation initiatives across multiple channels: direct mail, print and digital media, email, SEM/SEO, social media, third-party agents and more.
Reporting to the Director of Database Marketing, Research & Analytics, The Manager - Marketing Analytics will develop analytic insights to support initiatives in two of the company’s fastest growing areas: digital marketing and the third-party sales channel (travel advisors).
The Manager will be hands-on, detail-oriented, highly analytical and an integral part of the team, helping to guide optimization of LEX’s marketing activities in the digital space as well as co-marketing opportunities in the travel advisor channel.
Essential Duties
In collaboration with the VP Global Sales and the VP Affinity & Charter Sales:
Use analytical software and database tools (BlueVenn’s SmartFocus) to analyze and report on travel agency production.
Work with outside vendors, such as Epsilon, to score new travel agency leads.
Set growth targets for specific travel agency accounts.
Prepare narrative reports identifying trends and opportunities.
Quantify effectiveness and efficiency of the Sales marketing budget spend.
Identify opportunities for increased coop marketing.
Create or refine business reporting tools.
Support day-to-day functions of the Sales team by fulfilling data inquiries in a timely and effective manner.
In Collaboration with the Director of Digital Marketing:
Analyze and report on website performance metrics, collating data from agencies and Google Analytics.
Quantify effectiveness and efficiency of the Digital marketing budget spend.
Develop target audience recommendations based on strategic intent and historical segment performance.
Refine insights, identifying trends and opportunities in visitor behavior.
Oversee the data flow between LEX’s customer database and our digital marketing solutions platform.
Ensure metrics are accurate through reconciliation; proactively identify and resolve issues by coordination with IT.
Support day-to-day functions of the Marketing team by fulfilling digital data inquiries in a timely and effective manner.
Keep current with evolving technology.
Qualifications
BA/BS required, preferably in analytically-driven field.
2+ years of database-driven direct marketing experience, including direct mail, email, digital media, analysis, reporting, modelling and CRM
Experience with Silverpop preferred.
Experience with Google Analytics required.
Experience in digital analytics reporting.
Experience with Marketing Automation Platforms, CRM, ESPs and Database-specific terminology.
Advanced Excel skills.
Familiarity with Tableau and BlueVenn highly desirable
Extremely well organized and capable of handling multiple projects simultaneously
Critical thinking; proven history of self-direction, creativity and meeting deadlines
Highly-analytical; ability to interpret key metrics such as ROI, acquisition/retention costs and lifetime value
Demonstrated commitment to teamwork, with positivity, flexibility, integrity, good humor and a high-energy level
Outstanding presentation and communication skills
Apr 20, 2018
Full-time
The LEX Marketing team is fast-paced, dynamic and creative, driving all prospecting/lead generation, retention and reactivation initiatives across multiple channels: direct mail, print and digital media, email, SEM/SEO, social media, third-party agents and more.
Reporting to the Director of Database Marketing, Research & Analytics, The Manager - Marketing Analytics will develop analytic insights to support initiatives in two of the company’s fastest growing areas: digital marketing and the third-party sales channel (travel advisors).
The Manager will be hands-on, detail-oriented, highly analytical and an integral part of the team, helping to guide optimization of LEX’s marketing activities in the digital space as well as co-marketing opportunities in the travel advisor channel.
Essential Duties
In collaboration with the VP Global Sales and the VP Affinity & Charter Sales:
Use analytical software and database tools (BlueVenn’s SmartFocus) to analyze and report on travel agency production.
Work with outside vendors, such as Epsilon, to score new travel agency leads.
Set growth targets for specific travel agency accounts.
Prepare narrative reports identifying trends and opportunities.
Quantify effectiveness and efficiency of the Sales marketing budget spend.
Identify opportunities for increased coop marketing.
Create or refine business reporting tools.
Support day-to-day functions of the Sales team by fulfilling data inquiries in a timely and effective manner.
In Collaboration with the Director of Digital Marketing:
Analyze and report on website performance metrics, collating data from agencies and Google Analytics.
Quantify effectiveness and efficiency of the Digital marketing budget spend.
Develop target audience recommendations based on strategic intent and historical segment performance.
Refine insights, identifying trends and opportunities in visitor behavior.
Oversee the data flow between LEX’s customer database and our digital marketing solutions platform.
Ensure metrics are accurate through reconciliation; proactively identify and resolve issues by coordination with IT.
Support day-to-day functions of the Marketing team by fulfilling digital data inquiries in a timely and effective manner.
Keep current with evolving technology.
Qualifications
BA/BS required, preferably in analytically-driven field.
2+ years of database-driven direct marketing experience, including direct mail, email, digital media, analysis, reporting, modelling and CRM
Experience with Silverpop preferred.
Experience with Google Analytics required.
Experience in digital analytics reporting.
Experience with Marketing Automation Platforms, CRM, ESPs and Database-specific terminology.
Advanced Excel skills.
Familiarity with Tableau and BlueVenn highly desirable
Extremely well organized and capable of handling multiple projects simultaneously
Critical thinking; proven history of self-direction, creativity and meeting deadlines
Highly-analytical; ability to interpret key metrics such as ROI, acquisition/retention costs and lifetime value
Demonstrated commitment to teamwork, with positivity, flexibility, integrity, good humor and a high-energy level
Outstanding presentation and communication skills
The New York City Department of Education (DOE) is the largest school district in the US, serving 1.1 million students in over 1,800 schools. Our Office of School Support Services is seeking Certified IT Developers to join our active workforce. Want to solve unique, large scale, highly complex technical problems? Want to build new features and improve existing products? As a Certified IT Developer, you can help create the next-generation of products, systems and services that help us serve over a million students. Join us!
Competitive salary range : $92,083 - $138,987
Benefits : Medical Benefits, Dental Benefits, Vision Benefits, Pension options, Professional Development opportunities, Tax Differed Annuity options, Holidays, Annual Leave and Sick Leave accrual options and more.
To learn more about the position or apply, please click the 'I'm Interested' button on this page.
Equal opportunity employer. Position open until filled.
Mar 29, 2018
Full-time
The New York City Department of Education (DOE) is the largest school district in the US, serving 1.1 million students in over 1,800 schools. Our Office of School Support Services is seeking Certified IT Developers to join our active workforce. Want to solve unique, large scale, highly complex technical problems? Want to build new features and improve existing products? As a Certified IT Developer, you can help create the next-generation of products, systems and services that help us serve over a million students. Join us!
Competitive salary range : $92,083 - $138,987
Benefits : Medical Benefits, Dental Benefits, Vision Benefits, Pension options, Professional Development opportunities, Tax Differed Annuity options, Holidays, Annual Leave and Sick Leave accrual options and more.
To learn more about the position or apply, please click the 'I'm Interested' button on this page.
Equal opportunity employer. Position open until filled.
The Merchandise Experience Planning & Integration team is seeking multiple highly motivated, retail analysts/seniors with strong data science backgrounds who will conduct business analysis and clearly articulate recommendations to help drive improvements to the guest experience and the overall business. They will be accountable for consulting with Disney’s Theme Park Merchandise (DTPM) business partners to assess and address information needs, and for managing, analyzing and synthesizing analytics and insights to influence decisions and action planning. They will lead analytic efforts related to demand forecasting, customer segmentation, product affinity modeling, assortment optimization, demand transference and various other areas to help drive our businesses. They will operate across a highly-matrixed, multinational organization and help drive the organization's strategic advantage through more in-depth analysis of structured and unstructured data available across DTPM. Candidates should have an inherent passion for data and data driven thinking and be adept at extracting patterns from volumes of data to drive strategy and operational efficiencies. We will be considering talent to fill Scientist and Sr. Scientist level positions. Both will report to the Manager-Merchandise Business Intelligence.
Responsibilities
Support development of the advanced analytics practice: Develop best in class advanced analytics practice for DTPM and drive analytic culture across the planning and product development teams.
Support BI Reporting: In collaboration with leadership, support the development of Business Intelligence (BI) dashboards to highlight key performance indicators (KPI) across franchises, locations and channels. Work will include multi-source data integration and development in BI tools (Business Objects, Tableau, Teradata, MSSQL).
Data Infrastructure: In collaboration with infrastructure in IT teams, make recommendations for data architecture strategy.
Tool Assessment: Develop and deploy analytical tools and data science techniques to analyze complex data sets.
Monitor trends in data science and alternative sources to ensure that DTPM is in tune with best in class tools and techniques.
Basic Qualifications
Three plus years of experience in market research, insights, analytics, competitive intelligence or other similar function with demonstrated ability to manage in a complex environment with multiple constituencies (retail specific experience preferred)
Deep expertise in complex modeling and analytical methodology including, but not exclusively, longitudinal analyses, multi-level modeling and multivariate analyses of variance
Strong knowledge of databases, database architecture, data warehouses, and ETL processes
Experience using analysis tools such as SQL, SAS, Tableau, and R
Ability to influence and work through others to effectively navigate matrixed organization while ensuring that necessary stakeholders are informed
Ability to simplify highly complex analyses and output into terms that are easily accessible and impactful in both written and verbal formats
Familiarity and experience with data visualization and executive communication
Future-oriented thinker with expertise in external practices and trends
High level of analytical and negotiating skills as evidenced by high intelligence, strong financial and analytical capabilities and the proven ability to develop, sell and drive suitable partnerships, alliances, or other transactions to closure
Strong sense of responsibility, ownership and pride in delivering quality results, and understanding the business impacts
Preferred Qualifications
Seven plus years of experience in market research, insights, analytics, competitive intelligence or other similar function with demonstrated ability to manage in a complex environment with multiple constituencies (retail specific experience preferred)
Demonstrated in-depth understanding of the retail industry
Ability to lead small teams
Experience with Tableau
High proficiency with SQL and Microsoft SSIS Packages
Understanding of and experience with standard retail data warehouses
Machine Learning application and experience
AI assisted data analysis
Good sense of graphic / visual design
Required Education
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, or equivalent experience
Preferred Education
Master’s degree
Additional Information
We strongly encourage applicants to upload a copy of their resume and to print a copy of this role description so they can refer to it in the event they are selected for an interview.
Apr 19, 2018
Full-time
The Merchandise Experience Planning & Integration team is seeking multiple highly motivated, retail analysts/seniors with strong data science backgrounds who will conduct business analysis and clearly articulate recommendations to help drive improvements to the guest experience and the overall business. They will be accountable for consulting with Disney’s Theme Park Merchandise (DTPM) business partners to assess and address information needs, and for managing, analyzing and synthesizing analytics and insights to influence decisions and action planning. They will lead analytic efforts related to demand forecasting, customer segmentation, product affinity modeling, assortment optimization, demand transference and various other areas to help drive our businesses. They will operate across a highly-matrixed, multinational organization and help drive the organization's strategic advantage through more in-depth analysis of structured and unstructured data available across DTPM. Candidates should have an inherent passion for data and data driven thinking and be adept at extracting patterns from volumes of data to drive strategy and operational efficiencies. We will be considering talent to fill Scientist and Sr. Scientist level positions. Both will report to the Manager-Merchandise Business Intelligence.
Responsibilities
Support development of the advanced analytics practice: Develop best in class advanced analytics practice for DTPM and drive analytic culture across the planning and product development teams.
Support BI Reporting: In collaboration with leadership, support the development of Business Intelligence (BI) dashboards to highlight key performance indicators (KPI) across franchises, locations and channels. Work will include multi-source data integration and development in BI tools (Business Objects, Tableau, Teradata, MSSQL).
Data Infrastructure: In collaboration with infrastructure in IT teams, make recommendations for data architecture strategy.
Tool Assessment: Develop and deploy analytical tools and data science techniques to analyze complex data sets.
Monitor trends in data science and alternative sources to ensure that DTPM is in tune with best in class tools and techniques.
Basic Qualifications
Three plus years of experience in market research, insights, analytics, competitive intelligence or other similar function with demonstrated ability to manage in a complex environment with multiple constituencies (retail specific experience preferred)
Deep expertise in complex modeling and analytical methodology including, but not exclusively, longitudinal analyses, multi-level modeling and multivariate analyses of variance
Strong knowledge of databases, database architecture, data warehouses, and ETL processes
Experience using analysis tools such as SQL, SAS, Tableau, and R
Ability to influence and work through others to effectively navigate matrixed organization while ensuring that necessary stakeholders are informed
Ability to simplify highly complex analyses and output into terms that are easily accessible and impactful in both written and verbal formats
Familiarity and experience with data visualization and executive communication
Future-oriented thinker with expertise in external practices and trends
High level of analytical and negotiating skills as evidenced by high intelligence, strong financial and analytical capabilities and the proven ability to develop, sell and drive suitable partnerships, alliances, or other transactions to closure
Strong sense of responsibility, ownership and pride in delivering quality results, and understanding the business impacts
Preferred Qualifications
Seven plus years of experience in market research, insights, analytics, competitive intelligence or other similar function with demonstrated ability to manage in a complex environment with multiple constituencies (retail specific experience preferred)
Demonstrated in-depth understanding of the retail industry
Ability to lead small teams
Experience with Tableau
High proficiency with SQL and Microsoft SSIS Packages
Understanding of and experience with standard retail data warehouses
Machine Learning application and experience
AI assisted data analysis
Good sense of graphic / visual design
Required Education
Bachelor’s degree in data science, applied mathematics, statistics, business analytics, economics, or equivalent experience
Preferred Education
Master’s degree
Additional Information
We strongly encourage applicants to upload a copy of their resume and to print a copy of this role description so they can refer to it in the event they are selected for an interview.
