Data Analyst/Architect - Epitec : Job Details

📌 Job Title: Data Analyst/Architect – Ads

📍 Location: New York, New York 10119

🗓️ Schedule: Hybrid – 3 days onsite, 2 days WFH

⏳ Type: Full-Time, 12-Month Contract, Likely Extension / Conversion

🎓 Education & Experience:

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or related field

• 8–10 years of experience in data analytics, architecture, or related roles

• Experience in ad tech preferred

• Process certifications such as Six Sigma, CBPP, BPM, ISO 20000, ITIL, or CMMI are a plus

📝 Summary:

The NASB Data Analytics & Insights team supports Client's North America Services Business by transforming raw data into actionable insights. This role focuses on architecting and analyzing data from various SSPs, integrating it into Snowflake, and enabling business decision-making across Client's Ads Sales, Product, and Engineering teams.

🛠️ Job Responsibilities:

• Architect incoming SSP data for integration with existing datasets

• Design and maintain large-scale enterprise data ETL processes

• Analyze user behavior and service usage data to generate insights

• Develop dashboards to monitor service performance and growth

• Support analytics implementation for new features and ad campaigns

• Conduct complex statistical analysis to inform strategic decisions

• Collaborate with cross-functional teams and external partners

• Present findings in clear, concise formats (charts, graphs, tables)

✅ Must-Have Skills:

• Expertise in Snowflake data architecture

• Proficiency in SQL and Python-based analytics/visualization tools

• Strong presentation and communication skills

• Ability to synthesize data into actionable insights

• Experience with Microsoft SharePoint and reporting standards (SDLC, ITIL, QA/testing, etc.)

⭐ Preferred Qualifications:

• Experience in ad tech environments

• Ability to work independently and collaboratively

• Detail-oriented with strong multitasking and prioritization skills

• Proven ability to influence stakeholders and drive data-driven decisions