Backcountry.com:
Retention Marketing Analyst Job in Park City, VT
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Park City, VT
Full-time | Marketing
About the job
Retention Marketing Analyst - Job DescriptionAbout Backcountry:
Our mission is to connect people to their passions. Our five online stores—Backcountry, Competitive Cyclist, MotoSport, Bergfreunde, and SteepandCheap—aim to supply our customers with the gear, knowledge, and inspiration necessary to get out there and chase down life’s greatest moments. We do this by providing the biggest and best assortment of premium outdoor products, a superior shopping experience, personalized Gearhead expertise, lightning-fast and accurate fulfillment, and inspirational, informative, and community-centered content.
About the Role:
We’re looking for an experienced Retention Marketing Analyst reporting to the Sr. Director of Retention to support our Retention Marketing team.
Responsibilities:? Continue to refine and expand our understanding of retention channel efficiency (e.g. Catalog, Email, Loyalty Program etc.) and channel impact on customer metrics such as LTV.
? Develop hypotheses and testing frameworks for retention and loyalty initiatives.
? Work closely with Data Engineering and Data Science teams to request and prioritize new data sources, metrics, and machine learning applications.
? Set retention channel goals across email, loyalty and direct mail across three sites (Backcountry, Steep & Cheap, CompetitiveCyclist) to align to overall business objectives.
? Monitor, measure/analyse day to day business results, visualize the data and report insights and trends to senior leadership.
? Develop a holistic view of our customer lifecycle and how we can positively impact that lifecycle. Identify growth levers and drive customer acquisition and retention goals through data.
? Deliver meaningful insights that drive product roadmaps and business optimization.
? Partner with Integrated Marketing team to outline key learnings and test schedules for the upcoming calendar.
Experience We're Looking For? Experience in CRM analytics, statistical analysis, and experience with standard techniques including linear regression, time series analysis, experimental design, hypothesis testing, and A/B testing.
? At least five years of experience in an Ecommerce Retail analytics role.
? Technically proficient in SQL and/or LookML.
? Experience in cloud-based BI platforms such as Looker, Tableau etc. preferred.
? Hands-on experience in Web Analytics (e.g. Adobe, GA360)
? BA/MBA in Engineering, Marketing, Analytics/Data-Science.
? Outstanding communication skills and experience to drive cross-functional teams toward measurable outcomes.
What we offer:? A career with growth potential and the ability to take ownership and make an impact daily.
? Perks such as an excellent gear discount.
? A fun work environment (incl. an annual adventure contest, summer barbecues, and a pet-friendly office make).
? Work with colleagues who are passionate about their careers as well as the outdoors.
? Benefits include medical, dental, vision, and disability & life insurance, paid maternity and paternity leave, 401(k) matching, and Flexible Spending or Health Savings Accounts.
Our mission is to connect people to their passions. Our five online stores—Backcountry, Competitive Cyclist, MotoSport, Bergfreunde, and SteepandCheap—aim to supply our customers with the gear, knowledge, and inspiration necessary to get out there and chase down life’s greatest moments. We do this by providing the biggest and best assortment of premium outdoor products, a superior shopping experience, personalized Gearhead expertise, lightning-fast and accurate fulfillment, and inspirational, informative, and community-centered content.
About the Role:
We’re looking for an experienced Retention Marketing Analyst reporting to the Sr. Director of Retention to support our Retention Marketing team.
Responsibilities:? Continue to refine and expand our understanding of retention channel efficiency (e.g. Catalog, Email, Loyalty Program etc.) and channel impact on customer metrics such as LTV.
? Develop hypotheses and testing frameworks for retention and loyalty initiatives.
? Work closely with Data Engineering and Data Science teams to request and prioritize new data sources, metrics, and machine learning applications.
? Set retention channel goals across email, loyalty and direct mail across three sites (Backcountry, Steep & Cheap, CompetitiveCyclist) to align to overall business objectives.
? Monitor, measure/analyse day to day business results, visualize the data and report insights and trends to senior leadership.
? Develop a holistic view of our customer lifecycle and how we can positively impact that lifecycle. Identify growth levers and drive customer acquisition and retention goals through data.
? Deliver meaningful insights that drive product roadmaps and business optimization.
? Partner with Integrated Marketing team to outline key learnings and test schedules for the upcoming calendar.
Experience We're Looking For? Experience in CRM analytics, statistical analysis, and experience with standard techniques including linear regression, time series analysis, experimental design, hypothesis testing, and A/B testing.
? At least five years of experience in an Ecommerce Retail analytics role.
? Technically proficient in SQL and/or LookML.
? Experience in cloud-based BI platforms such as Looker, Tableau etc. preferred.
? Hands-on experience in Web Analytics (e.g. Adobe, GA360)
? BA/MBA in Engineering, Marketing, Analytics/Data-Science.
? Outstanding communication skills and experience to drive cross-functional teams toward measurable outcomes.
What we offer:? A career with growth potential and the ability to take ownership and make an impact daily.
? Perks such as an excellent gear discount.
? A fun work environment (incl. an annual adventure contest, summer barbecues, and a pet-friendly office make).
? Work with colleagues who are passionate about their careers as well as the outdoors.
? Benefits include medical, dental, vision, and disability & life insurance, paid maternity and paternity leave, 401(k) matching, and Flexible Spending or Health Savings Accounts.