Associate Director, SEM Analytics

Los Angeles, California
US$125000 - US$135000 per year

Associate Director, SEM Analytics

Los Angeles, CA

$125-135k

ABOUT THE COMPANY

  • Fearless full-service agency that delivers big ideas and phenomenal results
  • Driven by unlocking key insights within each consumer journey
  • Well respected agency that are rapidly expanding their Los Angeles office

ROLE OVERVIEW - ASSOCIATE DIRECTOR OF SEM ANALYTICS

  • Organizational skills to manage and prioritize daily work flow
  • Establishing and execute an Analytics Plan for large B2B client
  • Managing on-time delivery of scheduled reporting and ad-hoc reporting in a timely fashion
  • Possessing a strong understanding of client's business objectives
  • Develop, write and present analyses to internal teams and clients
  • Build and maintain strong professional relationships internally and externally
  • Proactively identifying opportunities for data exploration and analysis
  • Attending client meetings

DESIRED SKILLS AND EXPERIENCE

  • Bachelors or Masters degree in Statistics, Economics, Mathematics, Business, Marketing or other quantitative discipline.
  • 7+ years of work experience in marketing / digital analytics ideally with exposure to analyzing search marketing (SEM & SEO) campaigns.
  • Technical expertise with search analytics technologies - Google Ad Words, Kenshoo, Marin, DFA, Google Analytics, Adobe Analytics, Conductor Searchlight, Brightedge, Screaming Frog, Moz, Google Search Console / Google Webmaster Tools, aHrefs.
  • Working knowledge of media research tools (IMS, MRI, Nielsen, ComScore, Simmons, etc.) and ability to analyze syndicated research
  • Familiarity with building and using advanced statistical modeling (time series, cluster analysis, media mix and predictive analytics), direct/digital marketing test designs, and audience segmentations.
  • Client presence and history of building relationships with client's analytics and data management staff
  • Ability to work collaboratively with multi-disciplinary teams and agency partners,

KEYWORDS

Associate Director, Director, Manager, Senior Manager, Analytics, Digital Analytics, Analyst, Digital Media, Media Analytics, PPC, Paid Search, SEO, SEM, Paid Media, Google Analytics, Google AdWords, Kenshoo, Marin, Bid Management Tools, DFA, DCM, DoubleClick, Adobe Analytics

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JP/ADSEM
Los Angeles, California
US$125000 - US$135000 per year
  1. Permanent
  2. Media Analyst & Adtech

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Visit our Blogs & News portal or check out our recent posts below.

A Data Engineer is a Unique Blend of Data Professional

From startup and small business to large enterprises, each type of business requires a unique blend of Data professional. Though in today’s world, much of the Data being gathered, catalogued, and analyzed happens both in the Cloud and on a hard drive, each type of business has a different need, budget, goals, and objectives. But there is one thing each and every business will have in common. At the heart of the Data team will be a Data Engineer. The Three Main Roles of a Data Engineer This is an analytics role in high demand. It is a growing and lucrative field with steps and stages for nearly every level of business and education experience. For example, a Data Scientist interested in stepping into a Data Engineer role might begin as a Generalist. In all, there are three main roles for each level and type of business – Generalist, Pipeline-Centric, and Data-Centric. Let’s take a quick look at each of the roles with an eye toward the type of person who might be the best fit: Generalist – Most often found on a small team, this type of Data Engineer is most likely the only Data-focused person in the company. They may have to do everything from build the system to analyze it, and while it carries its own unique set of skills, it doesn’t require heavy architecture knowledge as smaller companies may not yet be focusing on scale. In a nutshell, this might be a good entry point for a Data Scientist interested in upskilling and reskilling themselves to transition into a Data Engineering role.Pipeline-centric – This focus requires more in-depth knowledge working with more complex Data science needs. This type of role is found more often in mid-sized companies as they grow and incorporate a team of Data professionals to help analyze and offer actionable insight for the business. In a nutshell, this role creates a useful format for analysts to gather, collect, and analyze each bit of Data at each stage of development.Database-centric – This role is found most often in larger companies and deals not only with Data warehouses, but is focused on setting up analytics databases. Though there are some elements of the pipeline, this is more fine-tuned. In a nutshell, this role deals with many analysts across a wide distribution of databases. A Fine Balance Between Technical Skills, Soft Skills, and Business Acumen While it’s important for anyone filing this role to have deep knowledge of database design as well as a variety of programming languages, its equally important to understand company objectives. In other words, once the groundwork is laid and the datasets established, it’ll be important to explain what it is the business executives need to know to make the best decisions for their business.  Knowing how and what to communicate to executives, stakeholders, and your Data team also means understanding how to best retrieve and optimize the information for reporting. Depending on your organization’s size, you may need both a Data Analyst or Scientist and a Data Engineer. Though this is less likely in medium and larger enterprises. On the flip side, in order to understand the business’ needs, you’ll also need to be good at creating reliable pipelines, architecting systems and Data stores, and collaborating with your Data Science team to build the right solutions. Each of these skills are meant to help you understand concepts to build real-world systems no matter the size of your business. One Final Thought… Do you like to build things? Tweak systems? Take things apart and see how they work, then put them back together better and more efficient than before? Then Data Engineering might be for you. Are you a business who knows you’re ready to scale up and hire a Data professional? We have a strong candidate pool and may have just the person you need to fill your role. Are you a candidate looking for a role in big Data and analytics? We specialize in junior and senior roles. Check out our current vacancies or contact one of our recruitment consultants to learn more.  For our West Coast Team, call (415) 614 - 4999 or send an email to sanfraninfo@harnham.com.   For our Mid-West and East Coast Teams, call (212) 796 - 6070 or send an email to newyorkinfo@harnham.com.

The Harnham 2019 Data & Analytics Salary Guide Has Arrived

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