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Spark Foundry · 7 hours ago

Director, Analytics

New York, NY

Full-time

Onsite

Director/Executive

$133K/yr - $209K/yr

8+ years exp

Spark Foundry is a global media agency focused on enhancing brand engagement through innovative media strategies. The Director, Media Analytics and Insights will lead analytic insights and strategic thinking for client accounts, ensuring data-driven media objectives are met through effective performance analysis and optimization strategies.

AdvertisingMarketing

Responsibilities

Use data to drive media performance by informing media plans and optimization strategies. Implement a data driven media planning and optimization infrastructure

Use all relevant data and technology to drive test & learn agenda in order to improve performance of both conversion driving and awareness/consideration initiatives

Uses analysis to identify the key touch points/factors that drive business decision making, and make recommendations that will drive media strategy, creative and site optimization

Recommend and drive implementation and use a multi-touchpoint attribution models as required

Uses knowledge of advertising and digital media to deliver client-specific analyses including: campaign performance projections and analysis, customer segmentation and profiling, retention analysis, lifetime value analysis, and competitive market research

Performs ongoing analysis to ensure the timely adjustment/optimization of campaigns to enhance performance

Identify key measures, approaches and methodologies to track digital and offline marketing campaign success against clients’ business objectives - develop test design including hypothesis development, cell design and sample size calculation as required

Design and manage measurement systems for data capture and reporting

Build a body of knowledge on media, technology and strategy performance with the objective of informing future media decisions on schedules, budgets, partners and strategies

Identification, assessment, and managing implementation of data sources and tracking solutions

Identification, assessment, and managing implementation of technologies relevant to client’s business

Acts as primary day-to-day contact on measurement system project development and execution; facilitates communication and defines roles and responsibilities amongst all parties including internal, client, and third-party

Qualification

Analytics in marketing sciencesDigital campaign measurementStatistical analysis softwareData science platform skillsSyndicated media researchCross-channel measurementData miningAnalytical skillsStorytelling with dataClient relationship managementVisual techniques for data analysis

Required

Minimum 8 years of experience in performing analytics in marketing sciences capacity at a media agency, market research, or consulting company, or in-house at a brand. Experience with B2C and/or B2B digital campaign measurement and optimization

Knowledge of syndicated media research & systems (e.g. Nielsen, comScore, GWI)

Experience with linear and digital performance measurement data (e.g. ad servers, DSPs, search engines, web analytics, etc.)

Experience in the analysis of large data sets to identify insightful relationships (data mining)

Strong analytical skills with understanding of statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations

Experience with statistical analysis software products, research design, and a track record of implementing data and analytics driven solutions that impacted the bottom line

Demonstrated ability to develop relationships with business leaders and develop research programs to support business goals in a changing media landscape

Knowledge of visual techniques for data analysis and presentation development

Strong ability to tell a story with data in a rigorous and compelling, yet simple and direct manner

Ability to become a trusted advisor to clients and colleagues

Experience with cross-channel measurement and attribution

Strong data science and analytics platform skills such as PowerBI, Tableau, Datorama, Python, Alteryx, etc

Knowledge of statistical software packages (e.g., SPSS, SAS)