Senior Analytics Engineer

About AlphaSense: 

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!

About the Role

We are looking for a Senior Analytics Engineer to join our Data Engineering team. This role sits at the intersection of data modeling, analytics, and business enablement, and plays a critical part in helping Data Analysts and stakeholders work more efficiently with trusted, high-quality data. The team is currently focused on optimizing existing data models, rebuilding high-impact, reusable models, and enabling scalable analytics across the organization. You’ll work closely with Data Engineers, Data Analysts, and business partners to design and maintain clean, performant data models that power decision-making. This is an excellent opportunity for a product-minded analytics engineer who enjoys owning their work end-to-end and collaborating closely with stakeholders.

Who You Are:

You’re a product-minded analytics professional with strong ownership and business curiosity. You bring deep expertise in SQL and dbt, understand how to model data for both performance and usability, and enjoy collaborating with stakeholders to turn requirements into scalable data solutions.

Core Technical Skills

• Advanced SQL expertise, including: Complex transformations Window functions, CTEs Writing optimized, maintainable queries.


• Strong hands-on experience with dbt, including: Project structuring (staging, intermediate, marts), Writing and maintaining dbt tests, Using dbt documentation features, Experience with macros and packages.


• Experience with BigQuery, including: Partitioning and clustering, Performance tuning, Cost optimization strategies. 


• Version control using Git.


• Experience working with or contributing to CI/CD pipelines for analytics workflows (e.g., GitHub Actions, GitLab CI).

What You’ll Do:

• Design, build, and maintain dbt models to support analytics and reporting needs across the organization.


• Develop and maintain metrics and source-of-truth data marts to support critical reporrting functions across the organization.


• Develop clean, efficient, and scalable data models in partnership with the Data Architect and Data Engineers


• Implement data quality checks using dbt tests (schema and data tests)


• Create and maintain clear documentation for data models using dbt docs


• Monitor and support data model pipelines, troubleshooting and resolving issues as needed


• Collaborate with Data Analysts and business stakeholders to translate requirements into well-structured data models


• Apply strong data modeling principles to create intuitive and performant data marts


• Contribute to improving standards, best practices, and processes across the Data & Analytics function


• Mentor junior team members and support a collaborative, high-quality engineering culture

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

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• AlphaSense never asks candidates to pay for job applications, equipment, or training.


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