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Manager, Analytics Engineering (Data Analytics)


MediaMath / New York / Engineering & Modelling
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Job Overview

MediaMath helps the world's top brands deliver personalized digital advertising across all connected touchpoints. Over 9,500 marketers in 42 countries use our demand-side platform every day to launch, analyze, and optimize their digital advertising campaigns across display, native, mobile, video, audio, digital out of home, and advanced TV formats.

MediaMath initiated an industry-wide effort to create a 100% accountable, addressable and aligned supply chain through SOURCE ecosystem. SOURCE by MediaMath is a technical and commercial framework for agencies, brands, tech companies, and content owners designed to provide long-term sustainable solutions for a clean digital media supply chain with brand-safe, viewable inventory. MediaMath has offices in 15 cities worldwide and is headquartered in New York City.

Key Responsibilities

MediaMath’s Analytics team is currently seeking an Analytics Manager with the knowledge, passion, and capability to mine complex datasets, discover and deliver insights that drive value for our clients and internal teams. The analytics team works on reporting, statistical and predictive modeling, and serves as leaders for advanced analyses for both clients and internal teams like Product and Ecosystem. The candidate must be a player/coach, able to execute on projects independently as well as efficiently manage direct reports and other resources assigned to complete complex tasks with little guidance. The ideal candidate has the appropriate blend of technical capabilities, business acumen, and analytical skills to be a leader on a team that focuses on the largest challenges of AdTech and uncovers actionable insights that drive revenue.

You will:

  • Develop a deep understanding of MediaMath databases and their architecture
  • Be able to tackle complex and cross-functional tasks
  • Mentor junior members on the team
  • Work directly with senior leadership
  • Have excellent project management skills
  • Partner with the account and sales team to identify client’s analytical and reporting needs and present solutions
  • Create materials (client facing and internal) that package and promote Analytics offerings
  • Design innovative and exciting reports and analyses and fully own projects from scope to execution
  • Articulate results of data analysis to clients and internal groups; translate technical results to a non-technical audience
  • Develop a deep understanding of MediaMath's algorithms and bidder logic, how it impacts auction dynamics, and utilize that knowledge to interpret trends in auction data
  • Produce strategic insights with a service level of consistent quality to partners and stakeholders, including Executives, Product, Marketing, Sales, etc

You have:

  • 5+ years of experience working at a start-up or tech company in an analytical role
  • 1 – 3 years of experience in people management
  • Strong SQL and Python programming; experience of at least one big data technology, e.g. MapReduce, Hadoop, Hive, Spark, Pig, AWS/S3 a plus
  • Familiarity with A/B testing and statistical modelling (linear regressions, logistic regression etc.)

You are:

  • An excellent problem-solver and have strong analytical skills
  • Good with multi-tasking, time management and prioritizing projects and deliverables
  • A strong communicator – ability to distill key ideas for a non-mathematical audience
  • Collaborative and team focused

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MediaMath Overview

We are building a new accountable & addressable supply chain for the industry. Brands and their partners use our technology and services to achieve the performance they deserve with less effort. We created the first software for real-time media buying in 2007 and today work with over one-third of the Fortune 500 and more than 3,500 brands and their agency partners to grow and deepen direct customer relationships. Our clients can access the purest supply to reach real humans at the scale they need across channels like mobile, CTV and display and can use a combination of advanced AI and human expertise to drive improved results over time.

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