Director of Media Analytics

  • location: New York, NY
  • type: Permanent
  • salary: $150,000 - $160,000 per year
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job description

Director of Media Analytics

job summary:
Our client, a growing start-up company that is performing extensive analytics in the media industry is looking for a Director of Media Analytics. This position plays a key role in aligning their engineering, product, and sales teams to deliver business solutions that meet our strategic objectives. This individual will drive strategic planning and partner with stakeholders across the company to tackle operational problems, identify blockers to scaling, and drive continuous process improvement.

 
location: New York, New York
job type: Permanent
salary: $150,000 - 160,000 per year
work hours: 9am to 5pm
education: Bachelors
 
responsibilities:
  • Act as a technical consultant externally and internally, working with well-known brands, advertisers and agencies, and data providers, while collaborating with product, data science and tech teams
  • Manage and execute on analytic engagements for clients on a daily basis, bridging the gap between company solutions and client use cases
  • Maintain and develop relationships with partners and clients while building products and solutions.
  • Identify, design, and build product improvements and help drive efficiency
  • Project manage workflows, provide technical guidance, and advocate & implement new product features in an effort to deliver value for clients
  • Ensure client success by serving as a product generalist
  • Help build scale
 
qualifications:
  • Bachelors and/or Masters degree in a technical discipline (Computer Science, Technology, Engineering, Math) or other quantitative focus in social science (including Economics, Political Science, etc)
  • Expertise in statistical, data and behavioral science(s)
  • Ability to recognize gaps in own understanding
  • Prompt response and action when needed, people rarely need to follow up with you
  • Ability to work in ambiguous environments with little direction. We don't have all the answers, but you'll need to find them
  • Technical experience with analytical tools, methodologies and design
  • Familiarity with basic tools for statistics and analysis (SQL, Python, R) and Data visualization (Excel, Tableau, Looker, R)
  • Willingness and desire to learn - in both technical and non-technical capacity
  • Strong communications and client-facing skills
  • Ability to connect with individual clients to understand their problems and priorities
  • Ability to clearly communicate, present, and explain complex topics and recommendations in simple terms
  • Ability to deliver positive and negative results to external clients and stakeholders (including partners and internal teams) with solid underlying rationale
Preferred Skills

  • 3+ years in an external client-facing role is preferred (e.g. consulting, finance, etc.)
  • Moderate skill level with Python or R (managing multiple scripts, projects, moving data across a variety of stores, good programming practices)
  • Mentorship and teaching experience, guiding professional development of others
  • Experience giving both positive and negative feedback to reports or collaborators
  • Experience interviewing, hiring, and onboarding new employees
  • Familiarity supporting a variety of clients with varying levels of expertise and understanding in data science and/or analytics
  • Strong communications and visualization skills with data-intensive presentations, including geographic or time-series analyses
 
skills:
  • Is energized by a cross-functional role working across engineering, data science, product and business development
  • Enjoys working with clients to use your technical skills, creative thinking and EQ to solve real-world business problems and build trusted relationships
  • Can keep a cool head in a stressful situation
  • Loves to learn and constantly consumes information (breaking news, technology developments, academic papers, and so on)
  • May have built a spreadsheet to evaluate an important life decision

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

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