Technical Product Manager – Data & Analytics - New York City, NY

COVETIT INC.; Dallas (TX); On-site; USD 110,000 - 190,000; Part time

Job summary

Covetit Inc. is seeking a Technical Product Manager – Data & Analytics in New York, onsite. You will define the data product roadmap, work with data engineers on scalable pipelines, and translate requirements into data schemas and ETL processes.

You’ll turn data into insights and build dashboards to track KPIs and user behavior. The role requires hands-on SQL and BigQuery expertise, experience with Looker/Tableau, and 4+ years in technical product management or analytics.

Qualifications

• Must have data product management or analytics experience.
• Strong SQL and data exploration skills.
• Experience translating business requirements into data products.

Responsibilities

• Define and execute a data-driven product roadmap.
• Perform deep-dive analyses with BigQuery and SQL.
• Collaborate with data engineers on scalable data pipelines and cloud architecture.
• Translate requirements into technical user stories for data schemas and ETL.
• Create KPI dashboards to measure product success and user behavior.
• Communicate data constraints and architectural trade-offs to leadership.

Skills

Analytical thinking

Adaptability

Precision

Stakeholder communication

Cloud expertise

Advanced analytics

Big data

Education

4+ years in Technical Product Management or Data Engineering/Analytics

Degree in quantitative field (CS, Math, Data Science) preferred

Tools

BigQuery

Dataflow

Pub/Sub

Looker

Tableau

Looker Studio

Job description

Job Title: Technical Product Manager – Data & Analytics

Location: New York City, NY (Onsite Position)

Job Type: Long term W2 Contract

OPT Candidates are eligible to apply for this position

Overall Minimum 3 years experience to 10+ years required

Key Responsibilities

• Data Product Strategy: Define and execute the roadmap for data-driven products, ensuring alignment between business goals and GCP’s technical capabilities.
• Hands-on Data Exploration: Perform deep-dive analysis using BigQuery and SQL to validate product hypotheses, identify trends, and generate outcomes from Big Data.
• Architecture Collaboration: Partner with Data Engineers to design and optimize scalable data pipelines and cloud architecture within the GCP ecosystem.
• Technical Specifications: Translate business requirements into technical user stories, specifically focusing on data schemas, ETL processes, and analytical outputs.
• Outcome Generation: Turn raw data into "productized" insights, defining KPIs and building dashboards to measure product success and user behavior.
• Stakeholder Liaison: Communicate technical data constraints and architectural trade-offs to non-technical business leaders.

Required Technical Qualifications

• Cloud Expertise: Expert-level understanding of Google Cloud Platform (GCP), specifically BigQuery, Cloud Storage, Dataflow, and Pub/Sub.
• Advanced Analytics: Professional-grade proficiency in SQL (complex joins, window functions, and query optimization).
• Big Data Ecosystem: Experience with large-scale data processing frameworks and understanding how to structure data for high-performance querying.
• Data Visualization: Experience with tools like Looker, Tableau, or Looker Studio to present data outcomes.
• Education/Experience: 4+ years of experience in Technical Product Management or Data Engineering/Analytics. A degree in a quantitative field (CS, Math, Data Science) is preferred.

Soft Skills

• Analytical Rigor: A natural tendency to look at the "why" behind the numbers.
• Adaptability: Ability to pivot strategy based on what the data reveals during a deep dive.
• Precision: High attention to detail regarding data integrity and architectural scalability.