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Posted January 26, 2021
Ayzenberg

Social Media Analyst/Strategist

Ayzenberg
Pasadena, CA, USA ⚠ [Archived] No Longer Accepting Applicants

As a Social Media Analyst-Strategist at Ayzenberg, you will be responsible for providing data-driven strategies to clients who will use your insights to make business and marketing decisions. The right person for this role thrives in a fast-pace environment, loves problem-solving, and is a strong communicator. If you enjoy transforming social media data into knowledge for business insights, then this is a great role for you.

WHO WE ARE

We are fiercely independent, passionate about ideas, and driven by data. Ayzenberg Group—based in Pasadena, California—is one of the largest privately held agencies on the West Coast. We offer a holistic approach for brands in search of creative solutions to their marketing challenges. We are an equal opportunity employer.

WHO WE ARE LOOKING FOR

We are looking for a social media expert who considers themselves a hybrid analyst-strategist and can bridge the gap between these two specializations by flexing your knowledge in the following ways:

  • Lead and generate high-impact social media reports and audits - qualitative and quantitative alike - and derive key learnings and implications from these.
  • Inspire and develop research and data-point driven creative briefs - from campaign launches all the way to evergreen social.
  • Support creative ideas with data-driven insights that make our creative stronger and more compelling to our client(s)
  • And bring together general strategy and analytics/data strategy together in a unified way to provide an integrated strategic POV across all verticals of our business.

WHAT YOU WILL DO

  • Craft clear and concise stories, elevate findings into insightful reports with key takeaways and recommendations that bring results to life.
  • Conduct in-depth analyses of qualitative and quantitative information to uncover actionable insights relevant to the client and objectives.
  • Create and present insights to clients in a way that inspires them to take action on those learnings.

WHO YOU ARE

  • You are collaborative and work alongside team members (strategists, creatives, social, influencer, media, digital, and account teams) to develop and maintain a positive relationship with the client and make everyone’s work better.
  • You not only have a strong qualitative understanding of the social media and advertising space but also know the quantitative intricacies of full funnel advertising objectives and KPIs.
  • You have a passion for analytics and strategy.
  • You are inquisitive by nature, analytical, creative, and go above and beyond your required duties.
  • You are a skilled storyteller and can bring research, data, and insights to life in a compelling and/or visual way.
  • You are an independent problem solver, excellent presenter and meeting facilitator.
  • You can interpret both qualitative and quantitative data to uncover insights that drive impact
  • You apply expert level attention to detail, as well as strong organizational, verbal/written communication and presentation skills
  • You have the ability to work effectively in a fast-paced, high-pressure environment.

WHAT TO BRING

  • Bachelor or Masters degree in marketing, behavioral science, statistics, or business.
  • 1-3 years experience in social media analytics or strategy (with reporting experience) within a marketing agency or division.
  • Strong understanding of the social media space and best practices for Facebook, Twitter, Instagram, Pinterest, YouTube, Twitch, etc.
  • Experience with social media analytics (Sprinklr) and listening tools (Netbase).
  • Ability to strategically use consumer insights data, platform performance, and key social media and digital trends to inform the development of strategies and plans.
  • A keen understanding of how to connect brand objectives to marketing and social media KPIs.
  • Experience utilizing qualitative analysis (i.e. content analysis, audience segmentation) and quantitative analysis techniques (i.e. statistical inference, generalized linear models, time-series econometrics, machine learning, natural language processing).
  • Strong proficiency in deck building Microsoft Office and Google Docs.