Manager, Advanced Data Analytics – Mobile Analytics

Jobtailor; Arizona; On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor in the United States (Arizona) seeks an analytics leader to build and guide a high-performing team. You will set the analytics roadmap, collaborate with data functions, and translate complex business problems into concrete analytical projects.

You will oversee experimentation, causal ML, and predictive modeling to deliver actionable insights for senior leadership, driving value and strategic decision-making. The role emphasizes stakeholder management and executive communication.

Qualifications

• Minimum eight years in Analytics and Data Science with progression to leadership.
• Experience in AWS, SQL, Python, and Tableau.
• Experience with predictive modeling and causal ML methods.
• Directly managed analysts including hiring and performance management.
• Five+ years creating executive-level PowerPoint presentations.
• Master's degree in a quantitative field preferred; PhD a plus.

Responsibilities

• Lead and develop analytics teams, coaching and performance reviews.
• Frame ambiguous business problems and translate into analytics roadmaps.
• Present insights to senior leadership with clear storytelling.
• Operationalize analytics to drive enterprise and client value.
• Manage stakeholder expectations and align analytics with business goals.

Skills

Advanced analytics

People leadership

Stakeholder management

Experimentation

SQL

Python

Education

Master's degree in quantitative/analytical field

PhD (a plus)

Tools

AWS

Tableau

SQL

Python

Job description

• Problem solving skills: Ability to formulate a framework and roadmap to solve through complex and ambiguous business/product problems in partnership with various data functions, bringing structure to open-ended business requests and translating them into an analytical project approach.


• Advanced analytics expertise: Hands-on expertise in experimentation, quasi-experimental and causal ML, and predictive (AI / ML) methods, used to deliver deep insights on outcome drivers and curated recommendations for strategic decision-making.


• Strong analytical skills, coupled with the ability to form hypotheses, validate analytical techniques used by the team, and draw meaningful insights from disparate structured and unstructured data sources. The ability to understand data, process it, extract value from it, visualize it, and communicate insights to audiences of various backgrounds, including senior leadership.


• People leadership: Hire, coach, and develop a team of analysts, managing performance through regular one-on-ones and performance reviews, and building individual growth plans that stretch their skills and prepare them for their next roles. Coach and mentor analysts to identify business opportunities, break down complex business problems into analytics workstreams, and validate their analytical approaches. Pivot team resources as priorities shift to keep the highest-value work moving.


• Ability to seamlessly translate business and technical dimensions, ensuring all team deliverables are actionable and translated into business value, and that all work leads to enhanced enterprise and client outcomes.


• Ability to synthesize and communicate the analytics perspective to technical and non-technical senior leadership. Deliver clear and concise presentations, and coach the team on advanced storytelling and executive communication, to showcase the value of analytics in solving complex CX challenges.


• Expert stakeholder management skills: actively build and deliver the analytics roadmap and OKRs, frame ambiguous business problems for senior audiences, and bring experience collaborating through a matrixed organization for delivery.


• Sets team-wide standards for experimentation, modeling and analytics insights, and ensures the team's technical work -- coding, version control, and modeling practices -- is reusable, well-documented, and built to a consistent standard.


• Foresight and planning skillset: Ability to recognize ongoing and repetitive needs that can be operationalized to free up analytics bandwidth for higher-value work. Pre-empt requests, plan the roadmap for various deliverables and roadshows, and inform resourcing and capital-allocation decisions with recommended initiatives and trade-offs.

Requirements

• Minimum of eight years related work experience in Analytics and Data Science, including progressive growth from hands-on analytics to people leadership


• Experience working in the AWS environment and proficient in SQL, Python, Tableau


• Experience with predictive modeling, experimentation, quasi-experimental and causal ML methods


• Experience directly managing analysts (not just mentoring), including hiring, performance management, and resourcing


• Minimum of 5+ years experience building and presenting executive-level PowerPoint presentations


• Master's degree in a quantitative or analytical field (such as Statistics, Data Science, Economics, Applied Mathematics, or Operations Research) preferred, or equivalent education, training, and/or experience; PhD a plus.

Core Competencies

Demonstrates advanced analytics expertise with hands-on experience in predictive modeling, causal ML methods, and effective stakeholder management. Proven ability to lead and develop teams, communicate insights to diverse audiences, and operationalize analytics to drive business value.

Highest-signal resume keywords

• Advanced Analytics Expertise


• Predictive Modeling


• SQL Proficiency


• People Leadership


• AWS Environment Experience

ATS Optimization Keywords

Hard Skills

• Predictive Modeling


• Causal ML Methods


• Experimentation


• SQL


• Python


• Tableau


• Data Visualization


• Analytical Techniques


• Performance Management


• Statistical Analysis

Soft Skills

• Problem Solving


• Communication


• Coaching


• Stakeholder Management


• Team Development

Industry Keywords

• Analytics


• Data Science


• Quantitative Analysis


• Business Insights


• Executive Communication

Tools & Technologies

• AWS


• Tableau


• PowerPoint