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Sr Digital marketing data analyst

LaBine & Associates

Sr Digital marketing data analyst

Santa Monica, CA
Full Time
Paid
  • Responsibilities


    Why is This a Great Opportunity?

    Voted a “Best Places to Work” - LABJ and “100 Best Companies to Work For, and Best Benefits & Perks”- Built in LA, the company's culture is driven by self-starters, team players, and visionaries.

    Job Description

    Are you an ambitious go-getter, passionate about data analytics?

     

    Want to join an award winning company culture with solid products and distinguished clients?

     

    Does problem-solving in a dynamic, fast-paced environment get you fired up?

    Do data inaccuracies keep you up at night?

     If you answered, “Yes,” to all of the above, then our client wants to hear from you.

     

    As a Digital Marketing Analyst, you will dive deep into big data to extract, analyze, and report on findings that drive growth for the company and their clients.

    You will monitor and optimize sales performance on Facebook and across other Paid Social channels, identify opportunities and risks for growth, and present and execute on recommendations for improving the overall health of their retail performance marketing network.

     

    Required Qualifications
    • 2-3+ yrs experience in a data analytical role; 1-2+ yrs experience managing Paid Social marketing campaigns
    • BS / BA Degree in business, economics, mathematics, computer science, or statistics preferred
    • Ability to transform complex facts and figures into plain English that can be easily understood
    • Keen attention to detail, financial responsibility, and strong organizational skills
    • Adept at compiling accurate reports and presenting analytical findings in a clear, concise manner
    • Excellent communication skills
    • Strong working knowledge of Excel and capacity to work with technical systems and teams
    • Adaptable and resourceful self-starter with the inquisitiveness and hunger for optimization and problem-solving
    • Knowledge of SQL, Perl, Python a plus