Lead Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇨🇦 Canada – Remote

💵 $130k - $150k / year

⏰ Full Time

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 24%

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Logo of InnoData

InnoData

2 - 10 employees

Founded 2019

🤝 B2B

💼 Consulting

🌍 Social Impact

B2B • Consulting • Social Impact

InnoData is INNOvation DATA SCS, an Italian social cooperative based in Foggia that identifies itself as a provider of technological solutions. The company website (currently under maintenance) highlights "Soluzioni tecnologiche" (technological solutions) and emphasizes social impact ("Impatto sociale"). Contact details listed include Via Francesco Crispi 65, 71121 Foggia, Italy. Based on the available information, InnoData appears to operate at the intersection of technology and social impact, likely offering tech-focused services to other organizations.

📋 Description

• Partner with Data Scientists and Product on complex analytics problems • Drive metric definitions and standards for advertiser revenue, monetization performance, funnel/cohort metrics, and experiment readouts • Lead end-to-end analytics initiatives spanning data modeling, pipeline work, dashboard delivery, and rollout • Perform root-cause analysis on discrepancies across dashboards, warehouses, and pipelines • Review and coach analysts and analytics engineers • Architect and own production SQL pipelines, data models, data cubes, aggregate tables, and semantic layers • Design and operate Airflow DAGs for revenue and monetization pipelines, including SLAs, on-call posture, backfills, and incident response • Establish data quality, reconciliation, and observability standards • Optimize pipelines for cost and latency on billion-plus-row tables • Contribute to technical decisions, migration plans, design documents, and reviews • Own executive and cross-functional dashboards in Tableau and/or Superset • Govern metrics through definitions, ownership, source-of-truth queries, validation, and deprecation • Enable self-serve analytics through documentation, certified metrics, sensible defaults, and coaching

🎯 Requirements

• 9+ years of combined experience in Data Analytics, Business Intelligence, or Analytics Engineering roles • At least 3+ years at Senior level or above in an analytics-adjacent role at a high-scale tech, ads-tech, marketplace, or fintech company • Prior experience as the most senior analytics IC on an embedded team — or a strong case for readiness to step into that role • Track record of leading end-to-end analytics initiatives • Experience partnering directly with US-based Data Science, Product, and Engineering leaders • Expert-level SQL, including window functions, CTEs, complex joins, query optimization, incremental patterns, skew mitigation, and cost tuning on billion+ row tables • Deep hands-on experience with at least two of Presto, Trino, Hive, Spark SQL, Snowflake, BigQuery, or Redshift • Advanced Airflow experience, including large DAG ecosystems, cross-DAG dependencies, large-scale backfills, and SLA management; equivalent orchestrators acceptable • Data architecture and modeling expertise: Kimball, star schema, dimensional modeling, OLAP cubes, wide fact tables, slowly-changing dimensions, and semantic layer design • ETL/ELT architecture experience, including incremental loads, backfills, idempotency, data quality frameworks, and lineage • Python for data work, including pandas, PySpark, scripting, and light tooling development • dbt or equivalent transformation framework experience strongly preferred • Experience contributing to or reviewing design docs and RFCs for data platforms and pipelines • Production dashboard experience with Tableau and/or Apache Superset; Looker, Power BI, or Mode also acceptable • Experience driving metric governance and self-serve BI at an organizational level • Strong grasp of KPI definition, metric design, funnel analysis, cohort analysis, and A/B testing methodology • Digital advertising/monetization metrics experience strongly preferred • Native or near-native English, spoken and written — hard requirement • Track record of leading initiatives end-to-end with minimal direction • Experience writing design docs, RFCs, requirement docs, and postmortems • Experience mentoring or coaching less-senior analysts and analytics engineers • Ability to present analytics work to Director/VP-level stakeholders and defend recommendations • Ownership mindset of a permanent employee, even in a contract role

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