Director, Digital Analytics

Oakland, California
US$150000 - US$160000 per year

Director, Digital Analytics
Oakland, CA

$150-160k

An exciting opportunity to lead the digital analytics team at one of the world's most data-driven creative and media agencies. You will be leading all digital marketing measurement strategy and execution for performance and branding campaign.

ROLE OVERVIEW - DIRECTOR OF DIGITAL ANALYTICS

  • Lead digital marketing reporting and insights across media channels (search, social, video, display etc.)
  • Oversee the delivery of client weekly, monthly and quarterly performance reports
  • Define business logic to drive marketing campaign design, including experimental design with multiple test and control cells
  • Provide counsel to various disciplines within the organization and clients across digital marketing channels to develop measurement and optimization solutions
  • Partner with agency leadership team to identify opportunities for solutions and translate into analytics requirements and deliverables
  • Integrate with existing offline analytics offerings
  • Evolve and design new, innovative measurement tools and manage the process through to delivery. Taking ownership of roll out within the organization.
  • Execute and manage ad-hoc campaign analysis, mining for deep insights that will drive business results and inform strategic planning and optimization
  • Define staffing plans. Recruit, mentor and manage analytical resources ensuring efficient flow of work throughout the team.

YOUR SKILLS AND EXPERIENCE

  • 8+ years' experience in digital marketing agency or client side.
  • Demonstrated expertise in both digital and paid media strategy as well as digital marketing analytics.
  • Experience with digital analytics tools and technologies (e.g., Datorama, Tableau, GA, GTM, etc.).
  • Expertise in digital marketing reporting, analytics, and attribution including tagging and analytics tools like DoubleClick, Google, and Adobe.
  • Graduate Degree in a quantitative subject (Statistics, Mathematics, Operations Research, Economics) or Social Sciences, with heavy emphasis on quantitative methods (required).
  • Advanced degree, (MSc / PhD) in a quantitative subject is preferred.
  • Strong knowledge of experimental / multivariate test design techniques.
  • Strong knowledge of 1st, 2nd and 3rd party data.
  • Extensive knowledge of direct marketing principles and best in class methodologies.
  • Strong management skills and a proven track record of talent development.
  • Excellent communication and presentation skills

SALARY AND BENEFITS

The successful Director of Digital Analytics can expect a salary of $150-160k plus a comprehensive benefits package.

HOW TO APPLY

For more information about the role press "apply now".

KEYWORDS

Media Analytics, Analyst, Analytics, Advertising, Digital, Digital Analytics, Google Analytics, Adobe Analytics, Omniture, SiteCatalyst, DFA, DoubleClick, DCM, Sizmek, Ad Serving

Send similar jobs by email
JP/DDARRP
Oakland, California
US$150000 - US$160000 per year
  1. Permanent
  2. Digital Marketing Analyst

Similar Jobs

Salary

US$80000 - US$100000 per year + Commission

Location

Portland, Oregon

Description

A brilliant opportunity to take on an Associate Director role leading the Paid Social team in a data driven, full service ad agency.

Salary

US$80000 - US$90000 per year

Location

Santa Monica, California

Description

Work with a community-focused and innovative ad agency, leading the for one of their biggest clients.

Salary

US$100000 - US$120000 per year

Location

Milwaukee, Wisconsin

Description

A Milwaukee based opportunity for an Email Marketing Strategist to own customer journey at a legacy media publisher!

Salary

US$320 - US$400 per day

Location

Los Angeles, California

Description

Come help this digital advertising agency tackle several campaigns for this retail client.

Salary

US$90000 - US$100000 per year

Location

New York

Description

Are you a salesforce marketing cloud expert who is looking to help analyze, develop and seek opportunities within the eCommerce industry?

Harnham blog & news

With over 10 years experience working solely in the Data & Analytics sector our consultants are able to offer detailed insights into the industry.

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

Is Bioinformatics The Next “Rock Star” In Data?

Is Bioinformatics the Next “Rock Star” in Data?

It’s open enrolment for healthcare here in the US with a maze of plans to choose from. If you want to dip your toes into the world of healthcare with a tech bent, you may want to check out Bioinformatics or health informatics, and yes, there is a difference.  Bioinformatics is a growing field and is expected to grow to $16 billion by the 2022. It may just be the next “rock star” profession for those in the Data & Analytics fields. So, what is Bioinformatics and how is it different from Health Informatics? What is Bioinformatics? It’s the marriage of biology and information technology. In a world constantly on the go, and as we grow older and live longer, it helps us find the answers we seek. Bioinformatics often begins at the beginning. Think genome research, for a start. Yet, ultimately, it focuses on biological data in medical research and drug development. Imagine collecting and organizing data to annotate, record, analyze, and extract structural information in relation to protein sequences or applying your knowledge to chromosome therapy, drug innovations, or forensic analysis.  Because of the advances in IT, what was once unimaginable is now available. A booming industry which is a boon to the population. House, M.D. meets Bones.  Within this industry are sub-categories and sub-applications. In other words, there’s something for everyone interested in both biology and computer science. Here’s a quick list: Medical BiotechnologyAnimal BiotechnologyAcademicsAgricultureForensicsEnvironmental And within these sectors, though not the full list, their applications: GenomicsChemoinformaticsDrug designTransciptomics What is Health Informatics? Health Informatics is similar to Bioinformatics in that it uses computer technology to further advancements in medicine. However, while Bioinformatics focuses on the biology side of things, Health Informatics (HI) is focused on the patient side; helping doctors and patients determine care. HI is the application of design, development, and analysis of patient and healthcare Data systems. It’s the nervous system equivalent of a hospital or doctor’s office which houses medical records, billing systems, and compliance systems. For those with a computer science background who are more interested in the information infrastructure and architecture of a healthcare enterprise, Health Informatics may be for you. If you’re interested in the administration side of healthcare, you may want to think about Health Information Management (HIM). You can also learn more, here. Getting Your Foot in the Door You know the basics. Have a technical background with the communication skills to explain your findings. Boost your resume with video. Have done a project or two to show your work and capabilities, but when you drill down to something like informatics, there’s one more bit of training you’ll want to have. Since Bioinformatics, for example, is the marriage of biology and technology, it’s important to have a background in molecular biology and computer science. Drill down further and you’ll want to include database design as well. The Sum of its Parts Bioinformatics is an emerging science, in which we develop and use computer databases to enhance our biological research. Analyzing, storing, managing the data we collect or extract; this is the sum of its parts. Advancements here give us the opportunity to more efficiently identify new therapies, new treatments, new sequences to better understand disease. The potential to improve personalized medicine is exponential. What we learn and find today may help us solve tomorrow’s healthcare issues.  Want to get in on this growing healthcare field and the next generation of IT? Interested in Big Data and Analytics, but not necessarily the healthcare industry. We’ve got you covered. We specialize in Junior and Senior roles. We may have a role for you. Check out our current vacancies or contact one of our expert 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.

Tips for your Data & Analytics Resume

Tips for your Data & Analytics Resume

So, you’re pursuing a career in Data & Analytics. The brilliant thing about this is you’re entering a fast-growing industry with the potential for a great salary. But, unfortunately, this also means you’re probably entering into one of the most competitive fields out there right now.  The question is, how can you ensure your resume stands out from the crowd and impresses any potential employer?  Here are some top tips to help boost your Data & Analytics resume. Formatting is important It may seem obvious, but handing over a messy resume with no headings and massive blocks of text is no way to make a good first impression. Research suggests your resume is only looked at for a total of six seconds, so it’s important to make an impact on first glance.  Not only does this entail creating a well-presented document overall, but it also means paying attention to the small details such as structuring your resume to best emphasise the qualities and experience you think speak most highly of your ability to do the job well. This is why utilising a reverse chronological format is sometimes a worthwhile idea. For a highly competitive job in a Data & Analytics related field, where past experience is an important factor, beginning a resume with your most recent experience nearest the top will draw the eye and attention of the hiring manager reading it. Additionally, make sure your skills, qualifications, extra courses and impressive achievements are highlighted and clearly stated within the main body. As such, it’s better to use bullet points wherever possible instead of paragraphs and, consequently, you’ll find your resume a lot more compact and legible; in other words, much more likely to be read and remembered.  Quality over quantity  Having the most aesthetically pleasing resume in the world will mean nothing if the content doesn’t relate to the job you’re applying for. Again, this may sound obvious but it’s always worth combing through your resume to eliminate any irrelevant features and leave more space to talk about the things that matter.  Having a single page summarizing the most impressive contributions in your last role, or the most valuable insights gathered from a particular project you were involved with, is much more valuable than a multi-page essay about your volunteering with a local soccer club five years ago (unless, of course, your role heavily related to Data & Analytics). When introducing yourself, avoid long sentences and pronouns, and use impactful verbs when describing your achievements: for instance, try “instigated” instead of “started” and “spearheaded” instead of “led”. Also be sure to highlight and, where possible, quantify how your previous work in data/analytics benefitted your old company.  Know the value of your skillset It’s worth dedicating a section of your resume just to listing your most valuable skills as they relate to the job you want. However, make sure to be specific when describing your technical skills and experience with whichever tool you’re talking about. State your level of expertise and how you utilized said software to make your knowledge clear to whoever’s reading.  If you’re applying for an entry level position, however, and don’t have much experience or technical skills yet, it’s important to show off whichever skills you already have and how they  will make you a great addition. It’s worth researching which of your more general skills are the most sought after by employers, and then gaining an understanding of which ones best relate to the job you’re trying to get. For jobs working in Data Science, for instance, maths skills, analytical skills and problem solving are well worth mentioning. Ultimately, you want this section to contain a comprehensive, impressive sounding, and accurate, list of your most relevant skills.   If you’re interested in Big Data & Analytics, we may have a role for you. Take a look at our latest opportunities or contact one of our expert consultants to find out 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. This guest blog was provided by check-a-salary. 

Recently Viewed jobs