广州招聘

Analytics Executive – Annalect Marketing Science, Shanghai

At Annalect, we are providing our clients with powerful and innovative media strategies, along with big ideas that are driven by insights. The Annalect Marketing Science practice is at the forefront of this process, helping to uncover these insights via sophisticated data analysis.

As an Analytics Executive in the Marketing Science team, you will work closely with the Analytics Directors to manage resources and implement process improvements within a tight knit team as they work to analyze data and deliver valuable and relevant insights. Through data-driven insights, you will have the opportunity to shape the strategic direction of our client’s marketing strategy.

Areas of Responsibility:
- Participating in development and execution of the measurement plan
- Anticipating client’s needs and proactively developing solutions to address them
- Ensuring timely follow through on all scheduled and ad hoc deliverables
- Generating and communicating clear and actionable insights;
- Constructing insightful narratives through sophisticated analytic techniques
- Recommending & implementing research to aid the consumer insight gathering & strategic process
- Providing thought leadership of ad-tech and measurement technologies
- Identifying opportunities to continuously improve processes
- Presenting reports, POVs & other materials to clients on a regular basis on the phone & in person

Education
Bachelor’s degree in statistics/mathematics. An advanced degree (MBA/MS) is preferred but not essential.

Requirements
- 2+ years of experience in a quantitative data driven field
- A passion for digital marketing, research and analytics
- Good communication and presentation skills
- Ability to work well with others and in cross functional teams
- Ability to manage and prioritize a number of concurrent tasks
- Ability to clearly explain complex technical ideas to multiple audiences both verbally and in writing
- Good knowledge of ad technologies & research techniques (how they work & how to troubleshoot)
- Ability to move beyond descriptive analytics and employ more sophisticated techniques
- Ability to set individual goals for analysis and measuring individual success / performance

Important to have
- Familiarity of SAS, SPSS, R or other advanced analytics software packages
- Experience / familiarity with concepts of database design and SQL
- Familiarity with web technologies including HTML and Javascript

Good to have
- Familiarity with ad-serving/web analytics tools (Google DFA, Miaozhen, Admaster, Omniture etc.)
- Experience / familiarity with syndicated research sources/tools (CNRS, CBES, comScore)
- Experience / familiarity with digital ad effectiveness research
- Proficiency with Microsoft Excel and PowerPoint

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