What you'll accomplish
- Engage with cross-functional product and engineering teams to define analytics requirements and metrics
- Build robust, exec-facing dashboards to support key business decisions across the organization
- Use data modeling, statistics, and other analytical techniques to extract and analyze data from large datasets, identifying trends, patterns, and anomalies to drive insights
- Partner with BI Data Engineers to model and transform data in a scalable way
- Develop and manage our data analytics platform Looker
Your expertise
- Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, or related field, or equivalent professional experience
- At least 4 years of experience in analytics or business intelligence, including proficiency with data visualization tools such as Looker or Tableau
- Proven expertise in writing, optimizing, and utilizing SQL queries within a business context
- Familiarity with infrastructure components, ETL processes, and reporting/analytic tools and environments
- Strong ability to manage and execute fast-paced, dynamic projects with a high degree of organization and independence
- Effective communication skills for presenting analysis results to stakeholders, fostering collaboration, and influencing decision-making across teams
Nice to haves
- Experience building dashboards and analyses using tools like Hex, Jupyter, or other reproducible notebook platforms
- Proficiency in Python, R, or similar programming languages for data analysis and statistical modeling
- Demonstrated experience collaborating with cross-functional teams across departments
Our scale
- 8,000 brands powered by Attentive sent over 2.2 billion text messages over Cyber Week 2023 (Black Friday/Cyber Monday) representing a growth of 31% from 2022
- We sent 32 billion SMS messages in 2023, up 32% YoY. That’s an average of 87 million per day
- Our production cluster contains over 18,000 containers which serve 200+ services
- Our streaming services process over 80 billion events per month
Our environment
- We have access to Python, Snowflake, SQL, DBT for analysis
- Our data visualization tool is Looker
- Our product backend is Java and Python microservices coupled with Spark, Kinesis, Airflow, Snowflake, and Postgres, all hosted on AWS
- Our team supports stakeholders from Client Strategy, Product Management, Sales, Marketing, Finance, Engineering, Designers and the Leadership Team
- We believe our company will win in the long run through product innovation and data-driven decision-making
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