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The Social Measurement team is a growing team with high-visibility within the Communications organization that is being tasked with measuring the efficacy and impact of our social-first Communications and Marketing efforts. You'll play a unique role in shaping the way we approach reporting, define success, and leverage our own data to support the Communications team.

In this role, you will employ data mining techniques to evaluate the success and efficacy of our social-first Communications and Marketing strategies. This role is also focused on social listening, where you'll be responsible for analyzing social conversation around specific topic areas. The ideal candidate will possess not only the technical proficiency to devise analytical solutions, but also have experience with data-storytelling.

Data Analyst Responsibilities

Employ Natural language processing (NLP) and social listening analytical techniques to understand how people discuss specific topics.

Create data pipelines and other analytical solutions that help us track and record metrics that are relevant to campaign measurement and audience engagement.

Query large data sets using SQL and create data pipelines in other programming languages such as Python or R.

Conduct statistical analyses to identify trends and patterns in campaign performance.

Develop and maintain dashboards to communicate findings to stakeholders effectively and in a scalable manner.

Develop analytical best practices and standardize reporting templates for use within the team.

Create data visualizations to illustrate social listening trends and topic analyses (via Tableau or otherwise).

Minimum Qualifications

Experience in managing multiple projects and meeting deadlines in a fast-paced environment.

Bachelor's Degree in a technical or research-oriented field such as engineering, data science, social science, or related fields (with focus on data - e.g. data journalism).

4+ years of work experience in quantitative research, statistics, or data analysis.

2+ years of experience with SQL for data extraction and manipulation.

Experience with statistical analysis, relational databases, and/or object-oriented programing languages.

Experience with communicating and presenting findings to non-technical stakeholders.

2+ years experience with NLP or other social listening and topic tagging techniques.

Preferred Qualifications

Advanced technical degree or graduate degree in statistics, marketing, or related fields.

Experience in marketing analytics or social media measurement.