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Senior Data Analyst

Array · Remote - USA or Canada · Remote · Active · Greenhouse

Job facts

FieldValue
CompanyArray
TitleSenior Data Analyst
Normalized title-
Department / teamProduct
LocationUnited States
Work modelRemote / Remote
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2024-04-12 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Array.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Product.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyArray
Source3a0c1b7a-65fc-4c52-9b89-96b9bf8ff275
ATS providerGreenhouse

Description

Array is a financial innovation platform that helps digital brands, financial institutions, and fintechs get compelling consumer products to market faster. We deliver a suite of credit and identity monitoring tools, privacy protection, and a financial ads marketplace via embeddable widgets or a clean, modern API. Our private label offerings help drive revenue and increase engagement for our customers while empowering millions of consumers to achieve their financial goals. As a remote-first company, we’re focused on providing opportunities for high performing individuals to have deep impact in the fast growing fintech space. A clear mission, a commitment to continuous improvement and a willingness to experiment empower us individually and together deliver the best products for our clients and users. A Senior Data Analyst at Array will bring foundational knowledge in data analysis and lead our engineering and product teams to solve the biggest problems and challenges that we’re facing. You will work with business and technology leaders to understand the holistic business strategy and then design and execute against technical strategies for delivery. This position will likely report to the CEO or Data Lead and focus their work with the product data team. This role will leverage a 2 day paid interview technical assignment as a part of the hiring process. For candidates that do well during the paid interview, we will consider moving to a 180 day contract or probationary period. You Will: Trace issues back through data pipelines or code to uncover why something isn’t behaving as expected. Write clear, concise Jira tickets explaining what was found, how it was fixed, and how to prevent similar issues. Partner with engineers and product managers to make data and code more reliable, faster, and easier to understand. Help build a culture of technical curiosity — where asking why and testing assumptions is part of every release. Leverage AI tools to think, build, and ship faster. You Have: A curiosity about how systems, code, and data work; a knack to pull things apart and see what’s really happening under the hood. Strong knowledge of SQL, familiarity with Python, and experience digging into JSONs, logs, or API outputs to validate what’s flowing through the system. Comfortable reading and reasoning about someone else’s code, identifying where things might be slowing down. The ability to turn ambiguous problems into clear next steps — you chase root causes. A mindset that values being less wrong each time — you approach analysis with humility, rigor, and a desire to continuously improve. Analytical skills to develop data-driven insights that help improve user experience and drive conversion rates. A belief that AI is reshaping work, you instinctively use it to accelerate everything you do. Pay Transparency: $300 a day for the paid interview. $80/hr for the 180 day contract period. Expected Interview Process: Recruiter conversation - Paid Interview test (2 days) - Loop: meet the lead data analyst, How We Work Interview. Array Offers All Full Time Employees the following Benefits and Perks (benefits start upon conversion to Full Time): Full medical, dental, and vision, premiums covered at 100% for full-time employees and 70% for dependents Unlimited PTO and sick leave + 14 company holidays to encourage a healthy work-life blend 100% 401k match up to 4% with immediate vesting Generous and competitive parental leave for all parents $1,000 desk setup subsidy to set-up your unique remote office $100/month to subsidize wifi/cell phone expenses Summer Fridays (half-day Fridays) typically from late May to the end of August AnniversArray Kits for work anniversaries Commuter benefits for those who choose to go into our New York City or San Francisco office spaces Not sure if you meet the Qualifications? We know that folks tend to only apply if they check every box. If you think you have the appropriate qualifications, but don’t meet every single one, we encourage you to still apply. We’d love to hear from you. We are proud to be an equal opportunity workplace; we are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Array will provide reasonable accommodations to qualified applicants—if you need an accommodation to participate in the application or interview process, please email [email protected] to make your request. Array uses CLEAR to conduct identity verification as part of the application process. We encourage you to review CLEAR’s Privacy Notice and Terms of Use to understand how your personal data will be processed.

Full job record

Job ID56bcf8915519225cfda259592d189dcd2c79243b
Org ID27de12e6-2671-4289-b0fa-811e3ed40012
Source ID3a0c1b7a-65fc-4c52-9b89-96b9bf8ff275
Board ID3a0c1b7a-65fc-4c52-9b89-96b9bf8ff275
Providergreenhouse
Provider Job Key5154821004
TitleSenior Data Analyst
Normalized Title
Statusactive
Activeyes
Location TextRemote - USA or Canada
DepartmentProduct
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://boards.greenhouse.io/array/jobs/5154821004?gh_jid=5154821004
Apply URLhttps://boards.greenhouse.io/array/jobs/5154821004?gh_jid=5154821004
First Seen At2026-05-29 22:40:34Z
Last Seen At2026-06-06 19:57:26Z
Last Checked At2026-06-06 19:57:26Z
Last Changed At2026-05-29 22:40:34Z
Inactive At
Source Posted At2024-04-12 18:05:21Z
Source Updated At2026-04-28 12:46:53Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=array/date=2026-06-06/2026-06-06T19-57-26-200Z-64c4272a0948a81a49aab141b24ef7d1777d9659d1413c735b254574ced0dc66.json
Event Fields
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  "source_hash": "5fe50bda91215ca91efe96a1ccd4a9a7a71e1641c98903a7f08e1eca2e8d2678",
  "last_changed_at": "2026-05-29T22:40:34.730Z",
  "active_status": "active"
}
Parsed Structured
{
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  "location": {
    "raw": "Remote - USA",
    "city": null,
    "region": null,
    "country": "United States",
    "is_remote": true,
    "confidence": 0.95
  },
  "salary_max": null,
  "salary_min": null,
  "inferred_at": "2026-06-06T19:57:26.327Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "Remote - USA",
      "city": null,
      "region": null,
      "country": "United States",
      "is_remote": true,
      "confidence": 0.95
    },
    "countries": [
      "United States",
      "Canada"
    ]
  },
  "remote_policy": "remote",
  "salary_period": null,
  "workplace_type": "remote",
  "salary_currency": null
}
Extensions
{}
Native Structured
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      "id": 4008089004,
      "name": "Remote",
      "location": "Remote",
      "child_ids": [
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  "language": "en",
  "location": {
    "name": "Remote - USA or Canada "
  },
  "metadata": [
    {
      "id": 5087750004,
      "name": "Job Level",
      "value": [
        "IC7"
      ],
      "value_type": "multi_select"
    }
  ],
  "updated_at": "2026-04-28T08:46:53-04:00",
  "departments": [
    {
      "id": 4016190004,
      "name": "Product",
      "child_ids": [],
      "parent_id": null
    }
  ],
  "company_name": "Array",
  "requisition_id": 4684325004,
  "first_published": "2024-04-12T14:05:21-04:00",
  "application_deadline": null
}
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