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3 jobs found

1d ago

Data Analyst V (Senior Marketing Analyst – Audience Strategy & Insights)

itD Tech Menlo Park, CA

Menlo Park, CA

1d ago

$50 - $52/hr Full time Marketing Analytics Apache Airflow

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Job Description

itD Tech is hiring a Data Analyst V to strengthen audience strategy and insights for the Business Messaging Marketing team. This role focuses on turning complex marketing and customer data into clear, business-ready recommendations that support product direction and investment priorities in a dynamic, growth-oriented environment.

Based in Menlo Park, CA with a hybrid work setup, this position offers an hourly rate of USD 50–52 and requires 8+ years of relevant experience. A bachelor’s degree in a quantitative, technical, or business field (or equivalent work experience) is required.

What you’ll do

Conduct deep audience analysis across segmentation, lifecycle, funnel, churn, and revenue attribution insights.
Define analytical approaches, including methodologies and assumptions, to address complex business questions.
Use advanced SQL to extract, clean, and analyze large-scale datasets spanning multiple data sources.
Partner with Data Scientists and Data Engineers to shape business logic, data models, and pipeline requirements.
Create automated reporting and self-service dashboards that support recurring business needs.
Translate audience findings into actionable segments for marketing campaigns and lifecycle programs.
Share data-driven recommendations with senior leadership and cross-functional stakeholders.

Key requirements

8+ years of experience in marketing analytics, business analytics, or data science.
Expert-level SQL, including complex queries, CTEs, window functions, and query optimization.
Proven end-to-end audience and customer analysis experience, including segmentation, lifecycle, funnel, and revenue sizing.
Experience working with large, multi-source datasets such as CRM, product, and engagement data.
Experience building automated reporting and dashboards using Tableau or similar BI tools.
Strong ability to convert analytics into actionable insights and influence stakeholders.
Experience collaborating with data engineering and data science teams to define pipelines and data models.

Tools and technologies

SQL, Tableau
dbt, Airflow
Salesforce Data Cloud, Salesforce Marketing Cloud
Python, Hive
Excel, Google Sheets

Benefits

Comprehensive medical benefits
401k plan
Paid holidays

Internal practice contributions

Attend regular internal practice community meetings.
Collaborate with your itD practice team on industry thought leadership.
Complete client case studies and learning material (blogs and media material).
Contribute to the Digital Transformation practice by building supporting materials.
Attend internal itD networking events (in person and virtual).
Work with leadership on career fast-track opportunities.

Preferred qualifications

Experience with pipeline orchestration tools (for example, dbt, Airflow, or equivalent).
Familiarity with customer data platforms, preferably Salesforce Data Cloud.
Experience with marketing automation tools, for example Salesforce Marketing Cloud.
Knowledge of statistical modeling such as propensity, LTV, attribution, and forecasting.
Basic proficiency in Python for automation and data workflows.
Experience with large-scale data environments such as Hive and distributed query systems or similar platforms.
Advanced Excel and Google Sheets skills for data analysis.

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2mo ago

Marketing Data Scientist Senior Associate - Consumer Bank

JPMorganChase Columbus, OH

Columbus, OH

2mo ago Closed

Full time Marketing Analyst Analytics

This position is no longer accepting applications (closed Aug 14, 2026).

Job Description

An onsite opportunity in Columbus, Ohio offers a comprehensive benefits package and a collaborative, data driven culture that values rigorous analysis and practical impact. As a Senior Associate Marketing Data Scientist in JPMorgan Chase’s Consumer Bank, you will focus on measuring marketing effectiveness, building present value models, and turning analytics into strategic recommendations that drive customer acquisition and optimize campaigns. You’ll work with marketing, finance, and analytics partners to turn insights into decisions that shape investment and growth.

Benefits

Health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Responsibilities

Develop, maintain, and assess present value models and the underlying assumptions to evaluate acquisition quality and marketing investment performance
Provide analytical support for deposit marketing efforts, delivering campaign insights, recommendations, and strategic guidance
Support portfolio investment optimization and the business-facing quality assumptions that inform marketing spend decisions
Contribute to finance processes by supplying inputs to budgeting and forecasting, including ROI and cost-benefit evaluations
Advise on experimental design and data collection, partnering with stakeholders and other Data & Analytics teams to shape strategies
Interpret analytical results and present clear, concise, and actionable insights to stakeholders and senior management
Participate in innovation efforts to advance analytical methods while maintaining strong controls to ensure accuracy and timely results

Requirements

Bachelor's and Master's degree in a quantitative discipline (Data Science, Analytics, Mathematics, Statistics, Physics, Engineering, Economics, Finance, or related fields)
3+ years of experience applying statistical methods to real world problems
3+ years of experience using SQL for data analysis
3+ years of experience using R for analytics
Experience supporting finance workstreams, including budgeting, forecasting, and ROI or cost-benefit evaluations
Hands-on experience with A/B testing and incrementality testing, including experimental design, statistical significance evaluation, and translating results into business recommendations
Demonstrated experience using AI assisted development tools (such as GitHub Copilot, Claude Code, or similar) to accelerate analysis and code development
Experience with data visualization for analysis and presentation
Strong written, verbal, and presentation skills with experience communicating across levels and partner groups

Technologies

SQL
R
Python
GitHub Copilot
Claude Code
Tableau

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2mo ago

Sr. Product Manager-Tech, Devices Demand Planning, Marketing Measurement

Amazon.com Services LLC Seattle, WA

Seattle, WA

2mo ago Closed

$151k - $205k/yr Full time Manager Marketing Amazon Quicksight

This position is no longer accepting applications (closed Aug 1, 2026).

Job Description

Amazon.com Services LLC is seeking a Senior Product Manager, Technical, to design and lead a centralized marketing experimentation program for Devices and Services. This onsite role in Seattle, WA offers a salary range of USD 151,200 to 204,600 per year and focuses on shaping the vision, strategy, and end-to-end execution across global markets and multiple product lines. The position blends product leadership with analytics to translate experiments into actionable insights that influence growth and priority setting.

Responsibilities

Define the vision, guiding principles, strategy, and multi-year roadmap for centralized marketing experimentation
Balance near-term execution with a long-term rollout, establishing experimentation as a core capability for Devices & Services
Collaborate with product line marketers across paid search, display, social, video, TV, and owned media to design statistically rigorous randomized controlled trials
Own global prioritization, design quality, and execution standards for experiments
Work with economists to define valid RCTs, create templates, develop power calculation guidelines, and set quality bars
Build relationships with marketing leaders to demonstrate the value of experimentation
Develop self-service tools that enable marketing teams to set up experiments, configure randomization logic, and launch tests across platforms
Implement pre-flight validation to prevent common design mistakes
Establish monitoring systems to track progress, surface data quality issues, and alert when tests reach statistical significance
Produce insights reports that summarize results, validate model predictions, and offer optimization recommendations
Partner with the Incrementality Modeling and Spend Optimization team to align experiment results with incrementality models
Collaborate with the Data Infrastructure team to ensure experiment data flows into pipelines and reporting
Translate complex statistical concepts into actionable product requirements
Track metrics around experiment velocity, quality, and impact
Lead regular business reviews with senior leadership to report progress and escalate blockers
Manage resource planning and prioritization, balancing new capabilities with maintaining existing systems
Naviagte technical complexity and cross-functional dependencies across multiple workstreams amid competing stakeholder priorities

Requirements

7+ years of product or program management, product marketing, business development, or technology experience
A Bachelor’s degree
Experience with feature delivery and evaluating tradeoffs for a product
Experience owning and driving roadmap strategy and definition
Experience with end-to-end product delivery
Experience contributing to engineering discussions about technology decisions and strategy related to a product
Experience managing technical products or online services
Experience representing and advocating for diverse customers and stakeholders during executive-level prioritization and planning

Technologies

Tableau
Qlikview
QuickSight

Benefits

Health insurance
401(k) matching
Paid time off
Parental leave

Basic Qualifications

7+ years of product or program management, product marketing, business development or technology experience
A Bachelor’s degree
Experience with feature delivery and evaluating tradeoffs for a product
Experience owning and driving roadmap strategy and definition
Experience with end-to-end product delivery
Experience contributing to engineering discussions about technology decisions and strategy related to a product
Experience managing technical products or online services
Experience representing and advocating for diverse customers and stakeholders during executive-level prioritization and planning

Preferred Qualifications

Experience using analytical tools such as Tableau, Qlikview, QuickSight
Experience building and driving adoption of new tools

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Tableau Marketing Jobs

Data Analyst V (Senior Marketing Analyst – Audience Strategy & Insights)

Marketing Data Scientist Senior Associate - Consumer Bank

Sr. Product Manager-Tech, Devices Demand Planning, Marketing Measurement

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