CRM Data Senior Analyst

At Hot Topic, we're passionate about creativity, high performance, and pop culture. Our team is looking for a Senior CRM Data Analyst to turn customer data into insights that drive marketing strategy, loyalty, and revenue growth. Blending deep analytics with strategic thinking, you'll manage all reporting, build executive dashboards, analyze campaign performance, and partner cross-functionally to shape how the business uses data perfect for someone who thrives at the intersection of data, marketing, and strategy. This role operates on a hybrid schedule and will require to work from our HQ located in the City of Industry, CA three (3) days per week. Pay range is $85K

• 95K Please note the pay range for this position starts as listed in the job posting, but other factors such as an individual's education, location, meeting the minimum job requirements for the role, training and experience, will determine the final salary for potential new hires.

WHAT YOU'LL DO

Mine and extract data from disparate sources (e.g., Snowflake, Looker, REST APIs, CRM platforms) to support customer analytics, campaign performance reporting, and business decision-making

• Analyze key performance indicators (KPIs) to understand trends in consumer behavior, customer lifecycle, and engagement across marketing and loyalty programs Develop a deep understanding of customer behavior, product trends, promotional performance, and key business drivers across brands Create and maintain executive-facing dashboards and reporting that track customer performance, loyalty engagement, and revenue-driving marketing initiatives Support CRM campaign segmentation and targeting strategies that drive revenue through email and digital marketing campaigns Deliver recurring and ad-hoc analysis on promotional programs (e.

g., Hot Cash, Lunch Money) to measure performance, optimize future promotions, and inform leadership decisions Conduct customer lifetime value (LTV), retention, and loyalty program analyses to inform customer strategy and long-term growth initiatives Present findings and actionable insights to cross-functional teams and senior leadership to support data-driven decision-making Optimize the customer experience by analyzing behavioral data and identifying opportunities to improve engagement, retention, and conversion Develop and maintain customer experience dashboards and reporting used by executive leadership and cross-functional teams Partner with social, marketing, planning, and allocation teams to operationalize newly available customer and sales data Solve complex ad-hoc analytical projects and reporting requests based on evolving company priorities Develop statistical models, forecasting approaches, and competitive analyses to support strategic planning and marketing optimization Drive UAT testing and related activities as we evaluate and implement new CRM/CDP tools, ensuring functionality, data integrity, and smooth cross-functional execution.

WHAT YOU'LL NEED

5+ years of experience in data analytics, customer analytics, or marketing analytics, preferably within retail, e-commerce, or consumer-facing industries Advanced proficiency in SQL and deep experience working with large-scale data environments (e.g., Snowflake or similar cloud data platforms) Expertise in BI and data visualization tools (e.g., Looker, Tableau, Power BI) with a track record of building executive-level dashboards and reporting Strong strategic and analytical thinking, with the ability to translate complex data into actionable insights that influence senior leadership decisions Extensive experience working with CRM data, customer segmentation, and lifecycle marketing (email, loyalty, and digital campaigns) Proven experience in statistical analysis, forecasting, and modeling; proficiency in Python or R strongly preferred Bachelor's degree in a quantitative or related field preferred but not required; advanced degree is a plus We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. CRM Data Senior Analyst 3.7 3.7 out of 5 stars City of Industry, CA Hybrid work $85,000

• $95,000 a year
• Full-time Hot Topic & BoxLunch 3,347 reviews $85,000
• $95,000 a year
• Full-time At Hot Topic, we're passionate about creativity, high performance, and pop culture.

Our team is looking for a Senior CRM Data Analyst to turn customer data into insights that drive marketing strategy, loyalty, and revenue growth. Blending deep analytics with strategic thinking, you'll manage all reporting, build executive dashboards, analyze campaign performance, and partner cross-functionally to shape how the business uses data perfect for someone who thrives at the intersection of data, marketing, and strategy. This role operates on a hybrid schedule and will require to work from our HQ located in the City of Industry, CA three (3) days per week. Pay range is $85K

• 95K Please note the pay range for this position starts as listed in the job posting, but other factors such as an individual's education, location, meeting the minimum job requirements for the role, training and experience, will determine the final salary for potential new hires.

WHAT YOU'LL DO

Mine and extract data from disparate sources (e.g., Snowflake, Looker, REST APIs, CRM platforms) to support customer analytics, campaign performance reporting, and business decision-making

• Analyze key performance indicators (KPIs) to understand trends in consumer behavior, customer lifecycle, and engagement across marketing and loyalty programs Develop a deep understanding of customer behavior, product trends, promotional performance, and key business drivers across brands Create and maintain executive-facing dashboards and reporting that track customer performance, loyalty engagement, and revenue-driving marketing initiatives Support CRM campaign segmentation and targeting strategies that drive revenue through email and digital marketing campaigns Deliver recurring and ad-hoc analysis on promotional programs (e.

g., Hot Cash, Lunch Money) to measure performance, optimize future promotions, and inform leadership decisions Conduct customer lifetime value (LTV), retention, and loyalty program analyses to inform customer strategy and long-term growth initiatives Present findings and actionable insights to cross-functional teams and senior leadership to support data-driven decision-making Optimize the customer experience by analyzing behavioral data and identifying opportunities to improve engagement, retention, and conversion Develop and maintain customer experience dashboards and reporting used by executive leadership and cross-functional teams Partner with social, marketing, planning, and allocation teams to operationalize newly available customer and sales data Solve complex ad-hoc analytical projects and reporting requests based on evolving company priorities Develop statistical models, forecasting approaches, and competitive analyses to support strategic planning and marketing optimization Drive UAT testing and related activities as we evaluate and implement new CRM/CDP tools, ensuring functionality, data integrity, and smooth cross-functional execution.

WHAT YOU'LL NEED

5+ years of experience in data analytics, customer analytics, or marketing analytics, preferably within retail, e-commerce, or consumer-facing industries Advanced proficiency in SQL and deep experience working with large-scale data environments (e.g., Snowflake or similar cloud data platforms) Expertise in BI and data visualization tools (e.g., Looker, Tableau, Power BI) with a track record of building executive-level dashboards and reporting Strong strategic and analytical thinking, with the ability to translate complex data into actionable insights that influence senior leadership decisions Extensive experience working with CRM data, customer segmentation, and lifecycle marketing (email, loyalty, and digital campaigns) Proven experience in statistical analysis, forecasting, and modeling; proficiency in Python or R strongly preferred Bachelor's degree in a quantitative or related field preferred but not required; advanced degree is a plus We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.