Manager, Digital Applied Analytics

KFC Corporation

Irvine (CA)

Hybrid

USD 137,900 - 162,300

Full time

14 days+

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Job summary

A leading fast-food chain is seeking a Digital Customer Data & Analytics Lead in Irvine, CA to manage a talented team and shape the vision for applied analytics. The role involves hands-on SQL and Python work, data model implementation, and delivering impactful insights that drive strategic decisions. With 8+ years of analytics experience required, including strong A/B testing skills and a technology background, this position offers a salary range of $137,900 - $162,300 plus bonus eligibility. Hybrid work model available.

Qualifications

8+ years of analytics experience, preferably with app/web or e-commerce data.
6+ years of hands-on experience with data models (multi-touch attribution, mixed marketing).
Strong understanding of data validation and QA on digital platforms.

Responsibilities

Lead and manage a team of digital customer analysts for analytics.
Own the development and execution of impactful deliverables.
Explore and implement new data models for reporting and applications.

Skills

SQL proficiency

Python skills

Data architecture design

A/B testing

Data validation

Education

Bachelor’s/Master’s degree in technical field

Tools

Amplitude

Mixpanel

Braze

Salesforce

GA4

Job description

This role leads the Digital Customer Data & Analytics team, reporting to the Director of Digital Customer Data & Analytics, and will manage 3–4 direct reports. It is a highly technical leadership position requiring recent, hands‑on experience in data engineering practices, infrastructure design, and advanced analytics. The candidate must demonstrate expert‑level SQL proficiency, intermediate Python skills, and exposure to ML/AI, as technical work cannot be delegated and must be executed personally for speed and accuracy. Beyond technical execution, the role will shape the vision for applied analytics, drive roadmap implementation, and coach junior team members to deliver impactful, data‑driven insights that influence strategic decisions across digital platforms. This position will have significant impact by ensuring analytics excellence and enabling faster, smarter decisions that align with organizational priorities.

The Day-to-Day

Lead and manage a team of digital customer analysts to build and support digital customer analytics across the organization.

Own the development and execution of impactful deliverables with data‑drive insights that inform strategic decision‑making across creative, technical, and business stakeholders.

Explore, scope, perform discovery, build, and implement new and current data models for baseline reporting and direct application of data model outputs to digital pillars. Work closely and knowledgably with data engineers to pipe data and data science teams to build data models, along with cross‑functional partners to design domain‑specific analytics frameworks.

Ensure high data accuracy across all data platforms through regular data audits across all data sources and be able to knowledgably discovery, document, and ensure completion of outstanding data issues.

Ensure that foundational analytics work aligns closely and is relevant with broader organization goals and big bets across the different domains.

Support best‑practice A/B testing and experimentation with a clear understanding of complex statistical concepts and methodologies (Bonferroni, Bayesian, etc.).

Personally perform technical analytics utilizing SQL/Python at an expert level proficiency.

Understanding of UAT/PVT methodologies and best practices to ensure proper governance, taxonomy, and implementation on digital platforms.

Qualifications

Is This You?

Bachelor’s/Master’s degree in technical field (Math, STEM, Economics, Statistics, etc.)
8+ years of analytics experience, preferably with a focus on app/web or e‑commerce data.
6+ years of hands‑on experience designing, building, and applying various data models (multi‑touch attribution, mixed marketing, churn, etc.)
8+ years of hands‑on experience with SQL (expert proficiency)
5+ years of hands‑on experience with Python (intermediate proficiency)
Strong understanding of data architecture design, data pipelines, and data storage
Strong understanding of data validation and QA both on digital platforms and within a database
High proficiency in experimentation setup and readouts for A/B, multivariate experimentation
Prior experience with digital platforms a huge plus (e.g. Amplitude, Mixpanel, Braze, Salesforce, GA4)
Salary range: $137,900 - 162,300 + bonus eligibility

Job Info