Marketing Data Analytics Manager

legalshieldcorp; United States; On-site; USD 130,000 - 180,000; Full time

Job summary

LegalShieldCorp is seeking an experienced Marketing Analytics leader to drive measurement, forecasting, and optimization of our marketing investment across all D2C channels. You will own the analytics infrastructure and partner with executives, channel owners, finance, and data engineering to translate complex analyses into actionable guidance.

This high-visibility role blends deep technical work with executive communication, guiding strategy and budget decisions in a fast-paced environment.

Qualifications

• 5+ years in marketing analytics or related quantitative field.
• Deep knowledge of digital marketing metrics, attribution models, and experimentation.
• Proven experience building production MTA and MMM models.
• Experience forecasting marketing performance across multiple paid and organic channels.
• SQL required; Python or R preferred.

Responsibilities

• Design and improve multi-touch attribution models.
• Develop and maintain media mix models for budget allocation.
• Own multi-channel forecasting and scenario planning.
• Build LTV and CAC models by channel and cohort.
• Present findings to executives with clear narratives.

Skills

Executive comms

Analytical

Marketing analytics

SQL

Python/R

Data storytelling

Business acumen

Problem solving

Rapid learning

Tools

Looker

Tableau

Snowflake

BigQuery

Redshift

GA4

Adobe Analytics

Mixpanel

Northbeam

Rockerbox

Siege

Job description

Job Summary:

We are seeking an experienced Marketing Analytics hire to lead the measurement, forecasting, and optimization of our marketing investment across all D2C marketing channels. This role owns the analytical infrastructure that informs how we allocate spend, evaluate channel performance, and project growth. You will partner directly with executive leadership, marketing channel owners, finance, and data engineering to translate complex analyses into clear, actionable recommendations that drive business outcomes.

This is a highly visible, cross-functional role for a leader who can move fluidly between deep technical work and executive communication in a fast-paced environment.

Responsibilities:

Performance Outcomes

Multi-Touch Attribution: Design, build, and continuously improve multi-touch attribution (MTA) models to measure channel and campaign contribution across the full customer journey.

Media Mix Modeling: Develop and maintain media mix models (MMM) to quantify incremental impact of each channel, evaluate saturation curves, and inform strategic budget allocation.

Multi-Channel Forecasting: Own forecasting for marketing performance across paid search, paid social, organic, CTV, display, affiliate, and emerging channels - including scenario planning and monthly/quarterly re-forecasts.

LTV / CAC Modeling: Build and evolve LTV and CAC models by channel, segment, and cohort; establish payback benchmarks and inform investment decisions with clear unit economics.

Executive Communication : Present findings, trade-offs, and recommendations to executive leadership; translate technical outputs into clear narratives that drive decisions.

Cross-Functional Partnership:

Partner with channel managers, finance, product, and data engineering to align on measurement standards, data infrastructure, and go‑to‑market strategy.

Partner with channel leaders on new launches:

as new partnerships and channels are brought online, collaborate closely with channel owners and data engineering to define reporting needs, and ensure we can reliably report performance in timely manner.

Run cohort and Retention Analysis:

Distinguish channels that bring in durable subscribers.

Education, Knowledge, and Experience

• 5+ years of experience in marketing analytics, data science, or a related quantitative field.
• Strong grasp of digital marketing metrics, attribution models, and experimentation methods.
• Demonstrated expertise building and interpreting multi-touch attribution models and media mix models in production environments.
• Proven track record forecasting marketing performance across a diverse channel mix (paid search, paid social, organic, CTV, and others).
• Deep experience with LTV / CAC modeling, cohort analysis, and unit economics - ideally in a subscription, DTC, or performance-driven business.
• Advanced SQL required; proficiency in Python or R for statistical modeling strongly preferred.
• Experience with data warehouses (Snowflake, BigQuery, Redshift) and BI tools (Looker, Tableau, or equivalent).
• Familiarity with attribution and measurement platforms (e.g., Google Analytics 4, Adobe Analytics, Mix Panel, Siege, Northbeam, Rockerbox, or similar).

Skills & Attributes

• Ability to distill complex, technical analyses into clear, concise narratives for executive audiences.
• Comfort operating in a fast-paced, ambiguous environment where priorities shift and decisions are made quickly.
• Strong business acumen - you understand that models exist to inform decisions, not to be perfect.
• High degree of intellectual honesty; willing to challenge assumptions and flag when the data does not support a preferred narrative.
• Bias for action; able to balance rigor with speed and know when each is warranted.
• Excellent written and verbal communication skills.
• Adaptable to learning new platforms and channels. As our channel mix evolves, can quickly get up to speed on unfamiliar tools, data structures, and reporting environments without needing a playbook.
• Curious and self-directed; you dig into anomalies rather than paper over them.

Success in the First 90 Days

Fully onboarded to WD, the disposition framework, the Connection Hub, and all monitoring tools.

Established a consistent 1:1 and coaching cadence with every direct report.

Delivered a first pass of individual QA calibration and identified the top three team-level coaching themes.

Built early trust with the team through visibility, follow‑through, and clear communication.

Delivered at least one process or coaching insight to the Manager grounded in real call data.

FLSA Status

Exempt

Physical Requirements/ Work Environment

• Prolonged periods of sitting at a desk and working on a computer
• Frequent use of hands and fingers to operate a computer keyboard, mouse, and telephone
• Ability to view computer screens for extended periods of time
• Ability to communicate clearly via phone, video, and in person
• Occasional standing, walking, bending, or reaching within the office e