Monetization Analytics Lead Engineer

Innodata Inc.; United States; Remote; USD 130,000 - 150,000; Full time

Job summary

Innodata Inc. seeks a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior IC and technical leader.

You’ll drive advertiser revenue metrics, monetization performance, and growth insights end-to-end, partnering with data scientists, product managers, and engineering leaders. You will own analytics, data engineering, and visualization, setting data standards, and enabling self-serve analytics for the Monetization org with

Qualifications

• 9+ years in Data Analytics, BI, or Analytics Engineering.
• 3+ years at Senior level or above in a high-scale tech/ads/fintech company.
• Experience as the most senior analytics IC on embedded teams or readiness to assume that role.
• Track record leading end-to-end analytics initiatives from question to rollout.
• Experience partnering with US-based DS, Product, and Engineering leaders as a senior contributor.

Responsibilities

• Partner with Data Scientists and Product on hard analytics problems and metric definitions.
• Own production SQL pipelines, data models, and data cubes; design data quality controls.
• Own executive dashboards in Tableau/Superset and govern metrics.
• Drive root-cause analysis for data discrepancies across dashboards and pipelines.
• Review and coach other analysts and analytics engineers on the team.
• Architect and operate Airflow DAGs with SLAs and incident response.
• Contribute to cross-team data platform decisions via docs and RFCs.

Skills

SQL

Airflow

Python

Presto/Trino

Data Modeling

Tableau

Superset

dbt

Mentoring

Executive comms

Tools

Airflow

Tableau

Superset

Trino/Presto

Hive

Job description

Innodata Inc. seeks a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior IC and technical leader.

You’ll drive advertiser revenue metrics, monetization performance, and growth insights end-to-end, partnering with data scientists, product managers, and engineering leaders. You will own analytics, data engineering, and visualization, setting data standards, and enabling self-serve analytics for the Monetization org with