Senior Data Analyst

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Market Intelligence, AI, SaaSIndustries

Requirements

Candidates should have 8+ years of experience in data analytics, including at least 3 years of experience developing and validating SQL queries for analysis, reporting, and dashboards. Proficiency in data visualization software like Tableau, Looker, or Power BI for at least 2 years is required, along with experience collaborating with data engineering teams and cross-functional stakeholders. The ability to switch between technical details and organizational KPIs is also necessary.

Responsibilities

The Senior Data Analyst will build data models, reporting, and dashboards to accelerate company growth. They will partner with various departments including Product Engineering, AI Research, Sales, and Finance to address strategic, operational, and technical initiatives. This role involves understanding department processes and needs to build custom analyses and reporting, and delivering deep insights to support data-driven decisions.

Skills

Data Modeling

Reporting

Dashboards

Data Analysis

Fivetran

Stitch

dbt

BigQuery

Tableau

BI Dashboards

ML Models

Data Infrastructure

AlphaSense

AI-driven financial research platform

About AlphaSense

AlphaSense provides a financial research platform that uses artificial intelligence to help clients gain insights into various companies, industries, and market trends. Users can search through a vast library of over 300 million documents, which includes both external and proprietary content. The AI technology streamlines the research process by automating repetitive tasks, allowing clients to concentrate on analyzing the information instead. Additionally, AlphaSense monitors real-time data to highlight important insights, helping clients stay ahead in a rapidly changing market. Unlike its competitors, AlphaSense is particularly focused on data security, implementing advanced measures like the zero trust security model and secure data encryption. The goal of AlphaSense is to empower clients in making informed decisions, whether they are launching new products or providing strategic insights to executives.

New York City, New YorkHeadquarters

2011Year Founded

$1,248.2MTotal Funding

LATE_VCCompany Stage

Cybersecurity, AI & Machine Learning, Financial ServicesIndustries

1,001-5,000Employees

Benefits

Company Equity

Performance Bonus

Remote Work Options

Risks

Rapid AI adoption may homogenize creative outputs, reducing unique value of insights.

Tegus acquisition poses integration challenges, potentially disrupting service delivery.

Reliance on AI exposes AlphaSense to risks of biases and inaccuracies affecting client trust.

Differentiation

AlphaSense leverages AI to provide real-time insights, enhancing decision-making speed and accuracy.

The platform's Generative Search tool offers advanced search capabilities mimicking human analysts.

AlphaSense's acquisition of Tegus expands its content library, offering unmatched insights.

Upsides

Generative AI integration enhances AlphaSense's speed and reliability of financial insights.

The Tegus acquisition significantly expands AlphaSense's content library for comprehensive insights.

AI-driven tools are essential for financial institutions, aligning with AlphaSense's offerings.

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