Sr Data Analyst - Marketing Analytics

Tailored Shared Services, LLC; Dublin (CA); On-site; USD 107,000 - 222,000; Full time

Benefits offered by this job

Healthcare including medical, dental,

401k with a company match

Life, accident and disability insuranc

Paid time off for sick leave, vacation

Wellbeing program

Commuter benefits

Adoption assistance

Education assistance

Legal services

Employee merchandise discounts

Job summary

Tailored Brands is seeking a Senior Data Analyst for Marketing Analytics to partner with Marketing and cross-functional stakeholders, evaluating performance, studying customer acquisition, and uncovering opportunities to attract, retain, and delight customers. This onsite role in Dublin, CA blends rigorous data work with practical business impact, turning insights into actionable marketing actions.

The position requires 7+ years of analytics experience, strong SQL and data visualization skills,

Qualifications

• 7+ years of analytics experience leading cross-functional projects.
• Fluent in complex SQL queries and large-scale dataset transformations.
• Experience with AI-enabled tools to accelerate analysis and support decision-making.
• Background in quantitative marketing analytics.
• Proficiency with Google Data Studio, Tableau, or Power BI.
• Strong ability to interpret data and turn it into actionable business actions, recommendations, and prioritized decisions.
• Familiarity with agile methodologies (Scrum or Kanban) and tools such as JIRA, GitHub, and Confluence.
• Experience evaluating loyalty program performance.
• Ability to translate data into actionable business actions.

Responsibilities

• Collaborate with marketing teams on analytics delivering insights that drive results.
• Interpret data to reveal trends, perform ad-hoc analyses.
• Examine customer segments, churn, retention patterns, and purchasing behaviors.
• Create dashboards and reports; automate data processes.
• Define and prioritize analytics roadmap with stakeholders.
• Design tests and experiments to improve marketing performance.
• Translate findings into clear business recommendations.
• Work with Data Engineering to improve data quality and governance.
• Manage multiple projects concurrently based on impact.
• Present analyses clearly to technical and non-technical partners.
• Share learnings across Analytics teams.

Skills

SQL

Marketing analytics

Data visualization

A/B testing

Cross-functional collaboration

Agile methodologies

JIRA

GitHub

Confluence

Education

Bachelor’s degree in a technical field

Tools

JIRA

GitHub

Confluence

Job description

Tailored Brands is seeking a Senior Data Analyst for Marketing Analytics to partner with Marketing and cross-functional stakeholders, evaluating performance, studying customer acquisition, and uncovering opportunities to attract, retain, and delight customers. This onsite role in Dublin, CA blends rigorous data work with practical business impact, turning insights into actionable marketing actions. The position offers a strong salary range and requires a solid track record of analytics experience in technical fields.

Responsibilities

• Collaborate with marketing teams and other stakeholders on marketing and customer analytics, delivering innovative insights and strategies that drive measurable business results.
• Interpret data to reveal trends, perform ad-hoc analyses, and identify opportunities within digital marketing efforts.
• Examine customer segments, churn, retention patterns, and purchasing behaviors.
• Create and streamline reporting and dashboards, focusing on the metrics that matter while proactively monitoring them; enhance data sources and automate processes to maximize time for high-value analyses.
• Own the analytics outcomes for marketing channel performance and optimization, partnering to define and prioritize a roadmap and execute to plan.
• Design, evaluate, and interpret tests and experiments to improve marketing performance and customer outcomes.
• Translate analytical findings into clear business actions, recommendations, and prioritized decisions that drive impact.
• Collaborate with Data Engineering to improve data quality, standardized definitions, governance, tools, and approaches.
• Manage and prioritize multiple projects concurrently based on impact to the business and customers.
• Present analyses in a clear, actionable way suitable for broad sharing, communicating effectively with both technical and non-technical partners.
• Partner across Analytics to share learnings, align on methodologies, and leverage best practices.

Requirements

• 7+ years of analytics experience with progressive responsibility leading and presenting projects for cross-functional teams.
• Experience with AI-enabled tools to accelerate analysis and support decision-making, including viable methodologies to QA AI outputs and assess reliability.
• Fluent in complex SQL queries and large-scale dataset transformations.
• Background in quantitative marketing analytics, including correlation, clustering, segmentation, regression, and marketing performance analysis.
• Proficiency with advanced data visualization tools (Google Data Studio, Tableau, or Power BI) to create rich dashboards and insights.
• Strong ability to interpret data and turn it into actionable business actions, recommendations, and prioritized decisions.
• Solid business sense with the ability to balance analytical rigor with real-world tradeoffs to improve customer and business outcomes.
• Familiarity with marketing channels and external agencies across social, search, and display.
• Experience with A/B testing methodology, test design, measurement, and translating results into marketing actions.
• Familiarity with evaluating loyalty program performance.
• Strong communication and collaboration skills; acts as a bridge among business, analytics, and engineering teams.
• Proven ability to deliver highly complex analytics projects including methodology development, strategic recommendations, and presentation of findings.
• Familiarity with agile methodologies (Scrum or Kanban) and tools such as JIRA, GitHub, and Confluence.
• Confidence to acknowledge data limitations and communicate the limitations of analyses when data is imperfect.
• Bachelor’s degree in a technical field (e.g., Computer Science, Economics, Finance, Statistics, Operations Research, or Industrial Engineering) or equivalent experience.

Technologies

• Google Data Studio
• Tableau
• Power BI
• SQL
• JIRA
• GitHub
• Confluence

Benefits

• Healthcare including medical, dental and vision
• 401k with a company match
• Life, accident and disability insurance
• P aid time off for sick leave, vacation, bereavement, jury duty, and holidays
• Wellbeing program
• Commuter benefits
• Adoption assistance
• Education assistance
• Legal services
• Employee merchandise discounts

Work Environment, Physical & Mental Demands

• Ability to sit and work at a computer keyboard for extended periods
• Ability to stoop, kneel, bend at the waist, and reach daily
• Able to lift and move up to 25 pounds occasionally
• Must utilize visual acuity, speech and hearing, hand-eye coordination and manual dexterity to operate a computer and office equipment
• Hours regularly 40 hours per week, as work dictates, from a remote office location

Work-Life Balance

• Meeting-Free Fridays (encouraged) to catch up on work and self-development
• Summer Fridays from Memorial Day to Labor Day for an early start to the weekend
• Holiday Early Departure to close out the business day before a company holiday

Work Location

In person, Dublin, CA (onsite)

Compensation

USD 106,800 - 222,394 per year

Education

Bachelor’s degree in a technical field (e.g., Computer Science, Economics, Finance, Statistics, Operations Research, or Industrial Engineering) or equivalent experience.