Staff Analytics Engineer

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

The Global Product Analytics team comprises professionals with diverse expertise, including analytics, engineering, and data, striving for innovation, execution & delivery every day. The mission of the Product Analytics team is to empower decision-makers and the broader data communities within the R&D vertical and beyond through trusted data assets and scalable self-serve analytics. We are looking for professionals who are committed to learning and growing themselves while creatively delivering solutions to join our team. 

We are seeking a highly skilled and experienced Staff Analytics Engineer to join our Product Analytics team. This role requires 

• proficiency in Python to set up Engineering Platforms and configure robust data pipelines,
• experience with the Google Cloud Platform (GCP) to run ETLs,
• and hands-on experience in designing Tableau Workbooks. 

The successful candidate will play a critical role in ingesting and transforming raw data into actionable insights to drive business decisions. If you're familiar with Scrum Agile methodologies and energetic, with a 'roll up your sleeves and do whatever it takes' attitude, we’d like to meet with you.

• Bachelor's (or Master’s) degree  in Computer Science, Information Systems, or a closely related discipline
• 5+ years of experience as an Analytics Engineer.
• Overall solid programming skills, able to write modular, maintainable code in Python 
• Experience in creating data pipelines and transforming data using SQL in GCP
• Experience in creating Tableau workbooks
• Experience in working with AWS Services like S3, SNS, SQS, and AWS Lambda Function.
• Experience in Kubernetes and CI/CD Process.
• Experience in working with NoSQL DBs (e.g. MongoDB, DynamoDB)
• Experience in working with event-driven systems.
• Familiarity with Agile methodologies and product development processes
• Excellent communication and collaboration skills

• →Develop R&D Analytical Data Lake for real-time data ingestion, storage, processing and analytics on BI tools 
• →Develop and maintain data pipelines required for the extraction, transformation, cleaning, pre-processing, aggregation, and loading of data from a wide variety of data sources using Python and SQL
• →Develop Tableau dashboards by establishing connections with GCP and other tools