About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Financial Services.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

---

What You’ll Do

As a Senior Data Analyst on Emerging Payments & AirKey, you'll blend analytics, engineering awareness, and business partnership to deliver insights and data products that influence strategy and operations.

• Use open-source and modern data technologies to explore complex, large, and varied data sets.
• Build well-managed data solutions and tools that enable self-service and repeatable analysis.
• Rapidly learn and apply new technologies to advance initiatives.
• Partner with business stakeholders to translate needs into metrics, dashboards, and analyses that drive decisions.
• Create visualizations and BI assets to communicate insights clearly.
• Drive data quality practices (metadata, lineage, definitions) and collaborate with technical teams on data access and governance.
• Build monitoring and reporting to track data quality and operational metrics.

---

Basic Qualifications

Candidates must meet the minimum requirements:

• Bachelor’s degree (or in progress) in a quantitative field (Statistics, Economics, Operations Research, Analytics, Math, Computer Science, or related) plus at least 2 years of experience performing data analytics; OR a Master’s degree (or in progress) with expectation of completion prior to start date.
• At least 1 year experience with one or more scripting languages.
• At least 1 year experience using business intelligence / data visualization tools.
• At least 1 year experience querying and analyzing data using SQL or similar languages/platforms.

---

Preferred Qualifications

Strong candidates will have:

• Master’s degree in a STEM discipline.
• 2+ years coding in Python, R, Spark, or SQL.
• 2+ years working with process improvement methodologies (Agile, Lean, Six Sigma).
• 1+ year using AWS services for analytics.
• 1+ year working with data governance and data quality tools (for example, Informatica DQ).
• Experience developing and operationalizing within Snowflake.

---

Location & Work Model

This role is based in New York, NY and is designated as a hybrid position. You are expected to follow the Confidential Client’s hybrid policy regarding required on-site presence at your assigned office.

---

Compensation & Benefits

For candidates hired to work in New York, NY, the posted salary range for this role is:

• $121,300 - $138,400 (full-time, annual).

This role is also eligible for performance-based incentive compensation (e.g., cash bonuses and/or long-term incentives), which may be discretionary depending on plan rules. Confidential Client offers a comprehensive set of health, financial, and other benefits; eligibility varies by status and role.

---

Sponsorship & Other Notes

• Confidential Client will consider sponsoring qualified applicants for employment authorization for this position.
• This posting may remain open to accept applications for a minimum number of business days.
• No agencies, please.
• Confidential Client follows applicable federal, state, and local laws regarding background checks and reasonable accommodations. If you require an accommodation to complete an application, please contact the recruiting team.

---

Keywords & Tools

Core skills used in this role:

• Python, R, Spark, SQL
• Snowflake
• BI / data visualization tools
• AWS (preferred)
• Data governance & data quality

---

Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.