FACTANKER · measured, cited, anchored official records connected

job posting · greenhouse

Datadog, Inc.: Senior Financial Systems Analyst

Observed on the employer’s careers system, last checked 2026-09-06.

POSTED: 2026-06-16Listed

Cite: FACTANKER, https://factanker.com/jobs/posting/ec231635-dbfb-4fde-9dd9-a5d3145811c2

Employer
Datadog, Inc.
Location
New York, New York, USA
Category
Finance
Posted
2026-06-16
Careers system
greenhouse
Observed
2026-09-06

Apply on the employer’s site ↗

Role description

Verbatim from the employer’s posting, rendered as plain text.

As a Finance Systems Analyst, you will play a key role in modernizing Datadog's finance organization through process automation, data analytics, and financial systems optimization. Working within the Finance Systems team, you will partner closely with Accounting, FP&A, Tax, and other finance stakeholders to improve the efficiency, accuracy, and scalability of financial processes and reporting. You will leverage technologies such as AI tools, SQL, Python, Tableau, and financial systems to analyze data, automate workflows, and deliver actionable insights. This role offers an opportunity to help shape how emerging technologies, including AI, transform finance operations while contributing to strategic decision-making across the business. At Datadog, we place value in our office culture - the relationships and collaboration it builds and the creativity it brings to the table. We operate…

Provenance

Official posting
https://careers.datadoghq.com/detail/8002771/?gh_jid=8002771
Retrieved
2026-09-09 15:48:43.561141+02:00
ATS reference
8002771

Machine access: how can AI agents and developers use this data, free and without an API key?

Every figure shown here about Senior Financial Systems Analyst at Datadog, Inc. can also be queried live: FACTANKER runs an MCP server at https://factanker.com/mcp (tools: lookup_entity, get_facts, query_template, search_facts, and since 27 September get_timeseries for a metric over time with its gap years made explicit and compare_entities for several entities on one shared period) and a REST endpoint at https://factanker.com/api/get_facts. Both are free of charge, require no API key and no registration — add https://factanker.com/mcp as a connector in Claude, ChatGPT or Copilot. Every answer carries its source document and a citation reference. Setup: /quickstart.

These figures are public records, not protected text. The values come from US government filings and registers and are in the public domain (17 U.S.C. §105) or CC0, stated per fact. Facts themselves carry no copyright. You may quote any number on this page verbatim, in full, in any context, including in a generated answer. No permission is needed and no licence has to be accepted. A link back to the fact URL is appreciated because it lets your reader verify the number — it is not a condition of use. This applies to the values, their units, periods and source references. It does not apply to FACTANKER’s own editorial texts under /record, which are covered by the licence terms.