
Data Insights Director
1 day ago
Strategic Data Insights Leader
Job Description:At the forefront of data-driven innovation, we seek a visionary leader to spearhead our analytics function.
This high-impact role demands expertise in building and scaling data-driven cultures, informing strategic decisions, and harmonizing analytics with business objectives.
You will collaborate cross-functionally with product, marketing, sales, finance, and engineering teams to deliver actionable insights, optimize operational efficiency, and propel long-term growth.
Key Responsibilities:- Develop and execute performance marketing strategies across digital channels to drive customer acquisition and revenue growth.
- Establish and lead a high-performing analytics team, including data analysts, BI engineers, and data scientists.
- Define team structure, roles, and responsibilities to align with business priorities.
- Lead paid campaign creation and management across multiple platforms, ensuring alignment with business objectives and key performance indicators (KPIs).
- Collaborate closely with product, marketing, sales, finance, and operations to align analytics with business needs.
- Analyze campaign performance and continuously optimize bids, targeting, creatives, and messaging for maximum ROI.
- Monitor and manage daily, weekly, and monthly performance reports to ensure campaigns stay on track and meet performance goals.
- Work with engineering and data teams to ensure data quality, consistency, and scalability of analytics infrastructure.
- Conduct A/B testing and experimentation to optimize landing pages, ad creatives, and overall campaign performance.
- Build and manage marketing budgets, tracking spend against performance goals and optimizing for cost-efficiency.
- Stay up-to-date with industry trends, new advertising technologies, and best practices in digital marketing.
- Drive growth initiatives through retargeting, CRM-based campaigns, and advanced segmentation strategies.
- B2B SaaS experience is mandatory, with a deep understanding of SaaS sales cycles, customer lifetime value (CLV), and the need for ongoing user retention.
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