Lead Analytics Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $130k - $150k / year

⏳ Contract/Temporary

🟠 Senior

📊 Analytics Engineer

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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InnoData

WebsiteLinkedInAll Job Openings

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

• Serve as the senior analytics individual contributor for the Monetization Analytics pod • Partner with Data Scientists and Product leaders on difficult, ambiguous analytics problems • Reframe vague requests into sharper analytical approaches • Lead end-to-end analytics initiatives spanning data modeling, pipeline work, dashboard delivery, and rollout • Define standards and metrics for advertiser revenue, monetization performance, funnel/cohort metrics, and experiment readouts • Perform root-cause analysis on discrepancies across dashboards, warehouses, and pipelines • Review and coach other 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 support, backfills, and incident response • Establish data quality, reconciliation, and observability standards • Optimize pipelines for cost and latency on billion-plus-row tables • Contribute to data platform design decisions, schema changes, migrations, design documents, and reviews • Own executive and cross-functional dashboards in Tableau and/or Superset • Govern metric 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 from ambiguous business question through data model, pipeline, dashboard, and rollout • Prior experience partnering directly with US-based Data Science, Product, and Engineering leaders as a full contributor • 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 • Deep production experience building executive-grade dashboards in 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 • Deep exposure to digital advertising and monetization metrics strongly preferred • Native or near-native English, spoken and written — hard requirement • Track record of leading initiatives end-to-end with minimal direction • Experience mentoring or coaching less-senior analysts and analytics engineers • Ability to present analytics work to Director/VP-level stakeholders and defend recommendations