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, Software Development.

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

---

What You’ll Do

This role supports deal execution, analytics, and AI initiatives for a confidential client in the software development space. You'll work closely with business partners and Data & Analytics teams to build reliable data products that inform deals, pitches, and strategic decisions.

• Support deal execution by logging and completing analytical requests from business partners for active deals and pitches.
• Design, build, and maintain data ingestion pipelines and ETL processes to load unique datasets into Snowflake (or equivalent data warehouse).
• Contribute to AI efforts — develop and evaluate AI agents and MCP-connected workflows that integrate internal and third‑party data to automate analytics and deal workflows.
• Produce research and analytics projects using third‑party CRE and macro data partnerships (e.g., Placer.ai, Oxford Economics).
• Apply record linkage and entity-resolution techniques to merge proprietary deal data with external sources.
• Build and maintain internal BI dashboards and visualizations (Sigma, Power BI, or similar) to support stakeholders.
• Train and support business users on BI tools and analytics workflows; translate technical analysis into actionable business insights.

---

Qualifications

• Bachelor’s degree (or equivalent) in Data Science, Computer Science, Statistics, Economics, Finance, or a related field.
• Strong Python programming skills for data preparation, modeling, and automation.
• Proficiency with SQL and experience working with Snowflake or other OLAP/data‑warehouse platforms.
• Hands‑on experience with business intelligence tools (Sigma, Power BI, or similar).
• Advanced Excel skills (power user level).
• Strong analytical mindset with familiarity or interest in financial analytics and capital markets workflows.
• Excellent written and verbal communication skills; ability to present technical work to non-technical stakeholders.

---

Preferred / Nice-to-Have

• Prior exposure to commercial real estate (CRE) data providers and industry datasets.
• Experience with Azure or similar cloud platforms.
• Background as a financial or capital markets analyst.
• Experience integrating third‑party APIs and automating data ingestion.
• Familiarity with record linkage / entity resolution techniques and data deduplication.

---

Location & Logistics

• Employment type: Full‑time, permanent.
• Work model: Hybrid — role is based in New York, NY and expects a mix of on‑site and remote work.
• Expected level: Entry level (early career candidates with strong technical skills are encouraged to apply).
• Education requirement: Bachelor’s degree or equivalent credential.

---

Compensation & Benefits

• Salary range: $88,000 - $110,000 per year. Actual pay within this range will depend on qualifications, experience, geography, and other job‑related factors.
• Additional compensation and benefits may include bonus structure, paid time off (PTO), and standard benefits offered by the employer.

---

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.