Sr. Data Analyst (TV)
Location: New York
Job Type: Full Time
IQ Workforce provides talent services for the analytics community.
Our client is a global marketing services leader whose vision is to transform data into value for everyone. Their data products and analytical services enable marketers to recognize, better understand, and then deliver highly applicable messages to consumers across any available channel. Specifically, their TV solutions are tailored to the needs of top-tier distributors, network programmers, and leading national agencies and advertisers.
They are currently looking to fill a Senior Data Analyst role on this TV team that can be based outside of Boston or NYC.
As part of the Marketing Services division, the Senior Data Analyst will be responsible for supporting the design, development, and delivery of TV advertising analytics solutions by applying digital analysis and database marketing techniques to the rapidly evolving TV and video space. This role will focus primarily on deciphering and clarifying client ad hoc analysis questions, utilizing and integrating consumer-level profile and behavioral attributes from huge volumes of data from multiple sources, interpreting, packaging, and delivering thoughtful analyses to inform client business decisions.
Collaborate with clients and internal stakeholders to understand business and insight goals, define a learning agenda, and identify relevant KPIs and diagnostics to pursue
Work efficiently with client data and analytics partners to define, configure, extract, aggregate, package, synthesize, and share data, results, and actionable insight to support adjustments to client campaigns, products, or business decisions
Build and foster positive reputation with client-facing delivery teams and Product & Engineering teams to successfully collaborate on designing, building, and launching analytical solutions
Build up a strong understanding and expert knowledge of the various data sources brought together for TV solutions – MVPD video subscriber attributes, 3rd-party data provider attributes (demographics, psychographics, lifestyle segments) across ad industries, TV/ video media content activity (across ad formats/ platforms), campaign exposure and response events, and product purchase or conversion activity
Partner with inter-disciplinary internal and client teams in the development, execution, standardization, and automation of recurring reports, dashboards, and prototypes
Prepare and present compelling analytical presentations and effectively communicate (both in writing and verbally) complex concepts to marketing and business audiences
Bachelor’s degree in Business, Marketing, Math, Statistics, Economics, Computer Science or other quantitative discipline
3-5 years of work experience in an analytical role in a professional services environment: digital advertising, database marketing, or interactive/ technology consulting
Critical thinking– capable of generating consistently accurate, useful reports as well as a enthusiasm for translating data into actionable insight relevant to marketing program objectives
Strong quantitative and research skills with proven ability to demonstrate data interpretation capabilities in terms of reporting and dashboards
Attention to detail and time management delivering high quality, client-ready work for multiple projects across several client engagements while meeting deadlines
Ability to articulate strategic marketing implications of campaign performance results for business audiences with clarity and persuasiveness
Hands-on fluency in data extraction, manipulation, and visualization tools such as SQL, Hive/ Impala, Excel, Tableau, and/ or others with minimal supervision
Demonstrated history of integrating multiple data sources (1st-party, 3rd-party, media activity) and utilizing creative analytical approaches to answer client audience insight or campaign performance questions
Knowledgeable of the media planning, measurement, and optimization process and acumen (both online and offline)
Master’s degree in Business, Marketing, Math, Statistics, Economics, Computer Science or other quantitative discipline
5+ years of work experience in an analytical role in a professional services environment: digital advertising, database marketing, or interactive/ technology consulting
Technical familiarity with scripting languages like Perl, Python, Spark, and/ or R
Methodological comfort with statistical clustering methods or predictive modeling
Working experience in digital video, cable, or TV media industries