Data Analyst (AI)

TL;DR

Data Analyst (AI): Building and optimizing data processing, polling, and predictive modeling efforts for C-suite decision-makers with an accent on ingesting, analyzing, and transforming internal datasets. Focus on developing PySpark-based data pipelines, custom survey research, and building predictive models using various data sources.

Location: Hybrid role based in hirify.global’s New York City office (work from home on Monday and Friday, in office Tuesday through Thursday).

Salary: $75,000-$90,000 (base salary, exclusive of discretionary annual cash bonus and equity compensation), specific to candidates located in the New York City area.

Company

hirify.global is a leading technology company that C-suites rely on to reach business-critical decision makers.

What you will do

• Work quickly and fluently in Python and SQL to ingest, analyze, and transform internal datasets.
• Assist with long-term research and development on PySpark-based data pipelines and survey methodologies.
• Collaborate with campaign and survey research teams to create samples, process data, and build custom predictive models.
• Build, maintain, and extend internal Tableau dashboards with intuitive visualizations.
• Troubleshoot and solve problems related to processing, reporting, and delivery of audience data.
• Fulfill ad-hoc requests for data transformation, cleaning, and communication between project stakeholders.

Requirements

• 1-3 years of work experience in a data analytics-focused role for a company, analytics or consulting firm, political committee, or in an academic setting.
• Expertise in Python or a similar object-oriented language, including the ability to architect scalable systems and design reusable components.
• Experience with data-manipulation tools (Pandas, dplyr, PySpark) for data cleaning, joining, aggregating, visualizing, and performance optimization.
• Ability to use version control systems to maintain clear, organized code.
• Capability to manage multiple tight timelines while being adaptive to cross-functional responsibilities and requests.
• Ability to collaborate proactively with team members and be highly motivated in managing project work.

Nice to have

• Experience using SQL to query and manipulate databases.
• Experience working in Tableau to produce intuitive, client-facing data reports and visualizations.
• Experience working with statistical libraries like scikit-learn or PySpark ML to build predictive risk models.
• Experience using Databricks or a similar cloud-based platforms for data analytics.
• Experience working with market research or political polling data.
• College- or graduate-level coursework in statistics, data analysis, mathematics or computer science.

Culture & Benefits

• Rapidly growing company — over the last 3 years, bookings increased by 10X, headcount grown by 4X, and cashflow positive.
• Platform used by hundreds of industry-leading clients spanning Fortune 500 companies, non-profit organizations, and top-tier advertising/communications agencies.
• Senior leadership team includes members of Forbes 30 under 30, former White House advisor, and alums of Google, Twitter, Bain, Amazon.
• Investors include Bain & Company, Endeavor, KKR Co-Founder Henry Kravis, and a founder of Palantir.
• Compensation package consists of a base salary, annual cash bonus, and generous equity compensation.