Advisor, Data Analytics

About the Role

Key Responsibilities

• Data Collection & Management: Collect, clean, and manage data from various sources, including web analytics, social media platforms, CRM systems, and marketing automation tools.
• Performance Analysis: Conduct comprehensive data analysis to measure the performance of communications and marketing campaigns, identifying key trends, successes, and areas for improvement.
• Reporting & Visualization: Develop and maintain dashboards and reports using data visualization tools to communicate key performance indicators (KPIs) and insights to stakeholders.
• Strategic Insights: Partner with our team to provide data-driven recommendations that inform future content strategy, channel selection, and audience targeting.
• Ad-Hoc Analysis: Conduct deep-dive analyses to answer specific business questions and support strategic decision-making.
• Data Integrity: Ensure the accuracy, consistency, and reliability of all data used for analysis and reporting.
• Data Governance: Contribute to the development and maintenance of a robust data governance framework that promotes data quality, accessibility, and ethical use.

Requirements

• Bachelor's degree in Data Science, Communications, Statistics, Marketing, or a related field.
• 5+ years of experience in data analytics, preferably within a communications, marketing, or public affairs function.
• Familiarity in data analysis tools and languages such as SQL, Excel, Python, or R.
• Experience with data visualization tools like Tableau, Power BI, or Looker.
• Strong understanding of statistical methods and data modeling techniques.
• Ability to synthesize complex data into clear, compelling insights for non-technical audiences.
• Excellent communication and collaboration skills, with a keen eye for detail and storytelling through data.
• Experience managing multiple projects and stakeholders in a matrixed organization.

Nice to Have

• Proficiency in data integration tools and techniques, such as ETL processes and data warehousing.
• Experience with communications analytics platforms (e.g., Sprinklr, Meltwater, Google Analytics, SharePoint analytics).
• Knowledge of data quality principles and best practices for data cleaning, validation, and enrichment.
• Ability to create visually appealing reports and dashboards using tools like Tableau, PowerBI, or similar.
• Familiarity with statistical methods and data modeling techniques.

Benefits & Perks

• Competitive compensation and benefits programs including variable pay, healthcare coverage, retirement plan, insurance, and time off programs.
• Training and development opportunities, mentoring, volunteering opportunities, and employee networking groups.
• Work-life balance initiatives, health and wellness programs, hybrid work models, and alternative work schedules.