Director of Data Analytics and Business Intelligence

This is a Full Time Job

We are seeking a Director of Data Analytics - Business Intelligence to be a key player in the development and implementation of a centralized business intelligence and data analytics framework. In this role, you will work closely with cross-functional teams to define data goals, support the build of a scalable infrastructure, and drive data aggregation, reporting, and analysis for our executive leadership team. You will play a key part in enabling data-driven decision-making and enhancing business outcomes that align to our company's overall business objectives.

RESPONSIBILITIES

What You'll Do:
• Support the creation of a comprehensive data analytics strategy to define, build, and report on cross-functional team objectives and key results
• Lead team of engineers and analysts, in building the design and development of a centralized data analytics infrastructure that aggregates key business sources into a single source of truth
• Lead efforts to develop standardized dashboards and reporting tools that provide actionable insights across the business
• Collaborate with engineering teams to ensure data pipelines and aggregation layers meet business needs, ensuring scalability and reliability
• Help reduce manual reporting by building automated reporting tools and processes, ensuring real-time access to data for key stakeholders
• Work with stakeholders to define key performance indicators (KPIs) and success metrics for measuring business performance and progress against objectives
• Lead a team of data professionals providing mentorship, guidance, and oversight on projects while fostering a collaborative and innovative environment

QUALIFICATIONS

Who You Are:
• 10 years of experience in data analytics, business intelligence, or data infrastructure development, ideally with experience in digital advertising environments.
• Proficient in SQL, data modeling, and working with BI tools (e.g. Tableau, Power BI, Looker). Familiarity with cloud platforms (e.g. BigQuery, AWS, Azure) and data pipeline technologies is preferred.
• Reputation for successfully conveying complex findings to non-technical stakeholder.
• Strong ability to define key metrics, model data, and use data to drive business insights and decisions.
• Proven experience managing cross-functional teams and collaborating with stakeholders to meet business objectives.
• Excellent verbal and written communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Bachelor's degree in Data Science, Business Analytics, Computer Science, or related field (Master's preferred).

Preferred Skills
• Familiarity with digital advertising platforms and analytics tools such as Google Analytics, Google Ads Manager, or Affiliate Marketing systems
• Experience in defining and managing OKRs and KPIs within a data-driven environment
• Proven track record in reducing manual reporting and building automated reporting solutions
• Proficient experience in the Advertising, Media, and eCommerce space

Working at Hearst Magazines:
• Work with the Best: Collaborate with top-tier professionals across media, advertising, tech, fashion, lifestyle, and publishing, shaping the future of these dynamic industries.
• Grow Your Skills: Unlock your potential with access to innovative training programs, immersive workshops, and exclusive industry events.
• Work-Life Harmony: Enjoy the flexibility of hybrid work, empowering you to balance professional success with personal priorities.
• Foster Connection & Belonging: Join our Employee Resource Groups and help create a welcoming workplace where everyone feels valued and empowered.
• Wellness First: Prioritize your well-being with a comprehensive benefits package that includes medical, dental, and vision insurance from Day 1.
• Plan for Your Financial Future: Enjoy competitive financial perks, including a 401(k) plan with a generous company match.

Hearst Magazines is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.