Data Analyst at AlphaSense

, , United States -

Full Time

Start Date

Immediate

Expiry Date

28 Apr, 26

Salary

104000.0

Posted On

28 Jan, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Tableau, Data Visualization, Data Analysis, Business Intelligence, Data Modeling, Documentation, Communication, AI Tools, Data Exploration, Stakeholder Management, Training Materials, Ad-Hoc Reporting, Performance Optimization, SaaS Industry, Git

Industry

Software Development

Description

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 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. What You’ll Do: Design, build, and maintain scalable and performant BI solutions in Tableau, transforming business requirements into intuitive dashboards that serve as a single source of truth. Champion and uphold our development standards for data and analytics, ensuring new work is high-quality, maintainable, and consistent through documentation and peer review. Drive user enablement and adoption of our BI capabilities by creating clear training materials, leading workshops, and providing expert support. Proactively apply AI-powered features and tools to automate insights, enhance our BI capabilities, and increase team efficiency. Partner with senior analysts to contribute to our core dbt data models, building the reliable data foundations necessary for scalable reporting. Serve as a primary data partner for your stakeholders, guiding them to effectively leverage our BI solutions and promoting a self-service culture. Investigate business problems through data exploration, with a clear focus on identifying opportunities to create new, scalable reporting assets. Support critical ad-hoc data requests as needed, with a mindset toward identifying opportunities to automate and transition them into our suite of BI tools. Who You Are You are a reliable, self-directed analyst who has mastered the core skills of your craft and is ready to take on more project ownership. You appreciate the value of standards and are motivated to uphold and contribute to best practices that improve the quality and consistency of the team's work. You are a strong partner to both business stakeholders and senior team members, capable of turning requirements into well-executed data solutions. You are focused on professional growth and are eager to apply your skills to drive enablement and deliver a tangible business impact. The minimum qualifications for this role include: 2-4 years of experience in an analytical or data-focused role. Relevant formal education (e.g., a degree in a quantitative field) and/or significant project experience will be considered. Proficiency in SQL for querying and manipulating complex data. Demonstrated experience building and maintaining reports in a data visualization tool (Tableau strongly preferred). A strong sense of ownership and the ability to work independently on well-defined projects. Excellent communication skills, with a proven ability to partner with stakeholders and explain data concepts clearly. Preferred qualifications for this role include: Direct and proficient experience with Tableau, including an understanding of performance optimization and best practices. Experience in the SaaS industry or working with subscription revenue business models. Experience creating technical documentation or user-facing training materials. Experience contributing to a shared codebase or data models (e.g., dbt, Git). Experience in a role that involved directly supporting and enabling business users. For base compensation, we set standard ranges for all roles based on function and level benchmarked against similar stage growth companies and internal comparables. In order to be compliant with local legislation, as well as to provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. Final offer amounts are determined by multiple factors including candidate experience/expertise and may vary from the amounts listed below. You may also be offered a performance-based bonus, equity, and a generous benefits program. Base Compensation Range $78,000—$104,000 USD 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. All official communications will come from an @alpha-sense.com email address. If you’re unsure about a job posting or recruiter, verify it on our Careers page. If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

Responsibilities

The Data Analyst will design, build, and maintain BI solutions in Tableau, transforming business requirements into intuitive dashboards. They will also partner with various departments to tackle strategic initiatives and support the company's growth towards a successful IPO.