Staff Data Analyst

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 4,000 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 Team:

The Data & Analytics team works across AlphaSense to make data an asset for growth. We do that through infrastructure, process, well-modeled and documented data, analysis, and deep partnership with the business. We own and manage the data stack, consisting of Fivetran, Stitch, dbt, BigQuery and Tableau. In addition to technical leadership, we partner across departments to raise the analytics bar, drive operational improvement, and support growth. Our work spans BI dashboards for business and executive users, ML models for critical business challenges, and data & infrastructure to support our AI engineers.

About the Role: 

This Data Analyst will be a critical member of the team as we build data models, reporting and dashboards, and deliver deep insights aimed at accelerating the growth of the company on our way toward a successful IPO. This role will partner with people across the company (Product Engineering, AI Research, Content, Sales, Revenue Operations, Marketing, Finance, etc.) to tackle key strategic, operational, and technical initiatives while building systems that will help us scale.

Who You Are:

• Experience building reports and analyses in BI/visualization software such as Looker, PowerBI, Tableau, Data Studio, etc.
• Strong SQL skills and experience working with databases/analytics data warehouses, e.g., BigQuery, Snowflake, etc.
• Experience as a business analyst, data analyst, or in a similar data-focused capacity with a business focus is a plus.
• Growth Mindset practitioner - ability and passion to be challenged, fail fast, learn, grow, and apply those lessons to drive business impact.
• Demonstrated proficiency at telling a story with data.
• Previous industry experience preferred (consulting, sales, marketing, operations, finance, product, etc.)
• Experience with data modeling tools (LookML, dbt, Dataform) is a plus.
• Experience collaborating deeply across an organization to understand department process, needs, and goals, and building custom analysis/reporting to match.
• Strong business sense; understanding of the drivers/metrics of SaaS businesses preferred.
• Ability to seamlessly switch “altitude” between specific technical questions and broad org-level KPIs/strategies.

What You’ll Do: 

• Exercise your creativity by finding hidden patterns in our data and relaying those discoveries to stakeholders with stunning dashboards.
• Help roll out analytics systems and processes throughout the organization.
• Foster relationships across the organization to design metrics and KPIs, and develop analyses to monitor and understand those KPIs.
• Design, create reports, and build analyses that drive action. This includes assessing needs and resources, and building deliverables that meet the needs of many types of users. 
• Support the “single source of truth” for the organization through creating and maintaining data models for use by other teams and by identifying and correcting data gaps, inconsistencies, etc.
• Collaborate broadly with internal stakeholders to implement new data/analytics reporting and tools. 
• Support stakeholders in investigating and delivering insights to inform impactful business decisions
• Onboard new technical and business users onto our systems and tools.
• Identify opportunities for better tooling, data systems, and process to help improve operations and drive growth. 
• Train and educate end-users in our tools and data analysis / business intelligence approaches.

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

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

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