Marketing Data Analytics Manager

Pre-Paid Legal Services, Inc.; Ada (OK); Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Short-term disability

Basic life and AD&D insurance

401(k) with company match

Paid time off

Paid holidays

Paid sick leave

Paid parental leave

LegalShield membership

IDShield membership

Job summary

LegalShield seeks an experienced Marketing Analytics leader to guide measurement, forecasting, and optimization of marketing investment across D2C channels. You will own analytical infrastructure and partner with executives, finance, channel owners, and data engineering to translate analyses into actionable recommendations.

You will bridge deep technical work with executive communication in a fast-paced environment, leading cross-functional initiatives and driving business growth.

Qualifications

• 5+ years in marketing analytics, data science, or related quantitative field.
• Strong grasp of digital marketing metrics, attribution models, and experimentation.
• Expertise building multi-touch attribution and media mix models in production.
• Proven forecast track record across diverse channel mix (paid/search, social, organic, CTV).
• Deep experience with LTV/CAC modeling, cohort analysis, and unit economics.
• Advanced SQL; Python or R for statistical modeling preferred.
• Experience with data warehouses (Snowflake, BigQuery, Redshift) and BI tools (Looker, Tableau).
• Familiarity with measurement platforms (GA4, Adobe Analytics, Mixpanel, Northbeam).

Responsibilities

• Design, build, and improve multi-touch attribution models to measure channel contributions.
• Develop and maintain media mix models to inform budget allocation.
• Own forecasting for marketing performance across paid/organic channels with scenario planning.
• Build and evolve LTV and CAC models by channel and cohort; set payback benchmarks.
• Present findings to executives and translate analyses into actionable recommendations.
• Partner with channel managers, finance, product, and data engineering on standards and infra.
• Collaborate with channel leaders on new launches to define reporting needs and data feeds.
• Run cohort and retention analyses to identify durable subscribers.

Skills

SQL

Python

R

BigQuery

Snowflake

Looker

Tableau

GA4

Mixpanel

Northbeam

Education

Bachelor's degree in a quantitative field

Tools

Power BI

Redshift

Looker Studio

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, establish data feeds, and ensure we can reliably report performance in a 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

Additional Information

Location: Remote

United States

Work Arrangement:

This position is fully remote. Occasional travel to corporate offices or company events may be required based on business needs.

Department:

Financial Planning

Employment Type:

Full-time

FLSA:

Exempt

Application deadline:

This posting is anticipated to close on November 1, 2026.

Compensation:

$120,000 - $170,000

Benefits

LegalShield offers eligible employees a comprehensive benefits package that includes medical, dental, and vision coverage; company-paid short-term disability and basic life and AD&D insurance; a 401(k) retirement plan with company match; paid time off, paid holidays, paid sick leave, and paid parental leave; and LegalShield and IDShield membership plans. Additional benefits may apply based on position and eligibility.

Other Compensation

In addition to base pay, this position is eligible for an annual OR quarterly bonus which is a percentage of base salary and based on company and individual performance. Incentive awards are discretionary and are not guaranteed.

The work environment characteristics and physical demands described here are representative of these an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

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