Analyst II, Digital Analytics

Summary

Join AccuWeather, the world's most accurate and widely used weather source, as a Digital Analytics Expert. You will be a key player in collecting, analyzing, and communicating insights from our digital platforms. Collaborate with product leaders and developers to build scalable data models, validate digital tracking, and create insightful reports. Your work will directly influence product decisions and business outcomes. You will be responsible for documenting data capture methodologies, identifying KPIs, and presenting findings to stakeholders. This role requires strong analytical skills, proficiency in SQL and data visualization tools, and experience with large datasets. If you are passionate about data and digital technologies and eager to improve user experience, this is the perfect opportunity for you.

Requirements

• Bachelor's degree in a quantitative discipline (e.g., Computer Science, Statistics, Operations Research, Data or Business Analytics, Technical Marketing) or equivalent experience/training
• 3–5 years of professional experience in digital analytics or a similar role
• Proven experience with Adobe Analytics, Google Analytics, or similar tools, with an understanding of web analytics data
• Proficient in SQL and at least one scripting language (Python or R)
• Familiarity with working on public cloud platforms (e.g., GCP, AWS, Azure)
• Strong skills in data visualization and dashboard creation using Looker, Tableau, Power BI, or similar tools
• Strong analytical mindset to interpret data and turn insights into actionable and measurable strategies
• Excellent written and verbal communication skills; able to simplify complex data and present to diverse audiences with clarity and confidence

Responsibilities

• Monitor key metrics and trends to support product and business decision-making
• Collaborate with product owners and key stakeholders to define relevant Key Performance Indicators (KPIs), gather reporting requirements, and design effective analytics solutions
• Develop and optimize advanced SQL queries to extract and analyze user engagement and customer journey data, providing detailed insights into behavioral patterns that inform product strategy and decision-making
• Leverage data visualization tools to build dashboards and reports for cross-functional teams
• Develop and maintain LookML models or similar data modeling artifacts to support scalable reporting
• Present findings and strategic recommendations to product and business stakeholders
• Perform QA and data validation to ensure accuracy and reliability of digital analytics data; identify data gaps and propose improvements to ensure effective measurement
• Maintain detailed documentation of data definitions, measurement strategies, and analysis processes

Preferred Qualifications

• Experience working with large datasets and data warehousing environments (e.g., BigQuery, Databricks, Snowflake) highly preferred
• Understanding of statistical methods such as regression, forecasting, and experimentation frameworks