Senior Consultant - Marketing Analytics

BlackCube Labs

New York (NY)

Remote

USD 100,000 - 120,000

Full time

3 days ago
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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) plan
Paid holidays
Parental Leave (12 weeks)
PTO policy

Job summary

Fractal Analytics is seeking a seasoned Marketing Analytics / Decision Science Consultant to join on an urgent, full-time basis. The role emphasizes data-driven decision making, campaign performance optimization, and rapid onboarding in a fast-paced environment.

The ideal candidate brings strong analytics expertise, cross-functional collaboration, and the ability to translate complex data into actionable business insights.

Qualifications

  • Strong background in Marketing Analytics / Decision Science (mandatory).
  • Funnel and cohort analysis to build/measure funnels, retention baselines.
  • Campaign attribution and lifecycle marketing tracking for ROI.
  • Knowledge of partner revenue impact and publisher churn analysis.

Responsibilities

  • Analyse and optimize ROI of marketing campaigns across channels.
  • Perform analysis on user app data to identify whales and drive retention/revenue.
  • Collaborate with paid media leads on ad campaigns to increase revenue from prime customers.
  • Define measurement gaps and translate business priorities into analytics roadmaps.
  • Monitor KPIs: activations, revenue, and overall campaign performance.
  • Conduct deep-dive analyses on social media campaigns and performance metrics.
  • Build insights and actionable recommendations to improve marketing effectiveness.

Skills

Marketing Analytics
Decision Science
Funnel Analysis
Cohort Analysis
Campaign Attribution
ROI Analysis
Marketing Mix Modeling
MTA
LTA

Tools

SQL
Advanced Excel

Job description

It's fun to work in a company where people truly BELIEVE in what they are doing!

We're committed to bringing passion and customer focus to the business.

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Role Overview

We are looking for an experienced Marketing Analytics / Decision Science Consultant to join our team on an urgent basis. This role requires strong expertise in marketing analytics, data-driven decision-making, and campaign performance optimization. The ideal candidate should be able to quickly onboard and drive impact within a fast-paced environment.

  • Fulltime role
  • Location: Remote (EST time zone preferred)
Key Responsibilities
  • Analyse and optimize ROI of marketing campaigns across channels
  • Perform analysis on user app data to identify whales in the add mobs ecosystem and do the right kind of recommendations for retention and increasing revenue from such app partners
  • Work closely with the leaders and senior analysts on the paid media side for ad mobs and figure out strategies and analyses to help with the program which focuses on increasing revenue from prime customers in the ecosystem
  • Ambiguity and scoping skill in defining measurement gap structuring minimum viable measurement approaches and translating high level business priorities into structured analytical roadmaps
  • Monitor and evaluate key performance metrics, including:
    • Campaign activations
    • Revenue generation
    • Overall campaign performance
  • Conduct deep-dive analysis on social media campaigns and performance metrics
  • Build insights and actionable recommendations to improve marketing effectiveness and efficiency
  • Leverage data to support strategic decision-making
Required Expertise
  • Strong background in Marketing Analytics / Decision Science (mandatory)
  • Funnel and cohort analysis ability to build and measure unmanaged and managed setup funnels survival rate benchmarks and retention tenure tracking baselines
  • Campaign attribution and reporting experience developing tracking mechanisms for lifecycle marketing campaigns to evaluate Roy investment adjustments and campaign influence on partner adoption
  • Strong understanding of partner lifetime value addressable publisher churn reduction and revenue impact analysis tracking in-yard captured revenue and time-to-live
  • Hands-on experience in:
    • Marketing Mix Modeling (MMM)
    • Multi-Touch Attribution (MTA) and Long-Term Attribution (LTA)
    • Funnel Analytics
    • Campaign Analytics
    • ROI analysis across marketing and social media channels
Technical Skills
  • Data extraction and infrastructure proficiency in querying and working with large-scale product data tables tracking setup to activation drivers and navigating complex data environments such as product data tables and internal bi systems
  • Proficiency in working with and setting up agenting workflows using clients first-party agenting tools
  • Proficiency in:
    • SQL
    • Advanced Excel
  • Strong understanding of statistical and analytical techniques, including:
    • Correlation
  • Regression
  • Forecasting
  • Segmentation
  • Experience with the these skills as:
    • AdMob
    • AdSense
  • Soft Skills
    • Cross-functional collaboration ability to partner closely with product analyst engineers
    • Excellent communication and stakeholder management skills
    • Highly adaptable, flexible, and eager to learn
    • Ability to work independently in a remote, fast-paced environment
    Ideal Candidate Profile
    • Consultant with strong Decision Science / Marketing Analytics background
    • Proven experience working on data-driven marketing strategies
    • Ability to translate complex data into clear business insights
    Pay

    The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $100,000 to $120,000. In addition, for the current performance period, you may be eligible for a discretionary bonus.

    Benefits

    As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a "free time" PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

    Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

    If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

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