Data Researcher, Digital PR Campaigns

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September 20

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Andava Digital Marketing Agency

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B2B • B2C • SaaS

Andava Digital Marketing Agency is a comprehensive digital marketing agency established in 2009, offering a wide array of services to boost business growth. Initially focused on SEO, Andava has expanded to provide full-service digital marketing solutions, including organic search optimization, pay-per-click advertising, social media marketing, email marketing, and web design and development. The agency is data-driven, focusing on creating customized strategies based on client goals to enhance visibility, increase conversions, and drive measurable growth. With a reputation for excellent client retention and a performance-focused approach, Andava has generated impressive results for over 500 clients globally. Their services cater to a diverse range of industries, ensuring tailored strategies for each business's unique needs.

11 - 50 employees

Founded 2009

🤝 B2B

👥 B2C

☁️ SaaS

📋 Description

• Receive and thoroughly review raw data provided by the team (e.g., surveys, social media analytics, website traffic, or other marketing channels). • Explore datasets to identify interesting trends, key statistics, and unique insights aligned with campaign objectives. • Clean and organize raw data by resolving inconsistencies, duplicates, and errors. • Categorize and structure data into formats that are easy to analyze and present. • Conduct statistical analysis to identify correlations, patterns, and significant trends. • Highlight and explain key statistics that support campaign messaging, suggesting potential story angles. • Collaborate closely with PR and marketing teams to ensure data-driven insights align with campaign goals. • Format findings into clear, compelling reports tailored for journalists, media outlets, and internal stakeholders.

🎯 Requirements

• Background in data analysis, statistics, or related field (or currently studying in these areas). • Strong analytical and problem-solving skills with the ability to interpret complex datasets. • Attention to detail in identifying errors, trends, and meaningful insights. • Excellent communication skills to explain data findings in a clear, compelling way. • Strong organizational skills to manage multiple datasets and reporting tasks simultaneously. • Proactive, detail-driven professional and collaborative team player who thrives in a dynamic, fast-paced environment.