Lead Business Intelligence Analyst

Important Information

Experience: +6 years

Job Mode: Full-time

Work Mode: Work from home

Job Summary

As a Lead BI Analyst (19011), you’ll be a key driver of our analytics foundation. You will transform raw event streams and operational datasets into reliable, actionable insights that shape company strategy. You’ll own complex SQL pipelines, design KPI frameworks, and deliver dashboard used daily by leadership. Beyond technical skills, you’ll help structure how the BI function scales — codifying best practices, mentoring analysts, and collaborating cross-functionally.

Responsibilities and Duties

• Build and maintain layered analytical models across device lifecycle, app usage, and monetization (RPH, ARPU, eCPM, fill-rate, retention).

• Reconcile data from multiple operational, product, and revenue systems; surface and track discrepancies.

• Create entity-centric models for health, attribution, and longitudinal behavior.

• Analyze auction funnels end-to-end (requests → bids → wins → impressions → revenue) and diagnose drop-offs.

• Monitor core KPIs with anomaly detection and investigation playbooks to accelerate root-cause analysis.

• Develop cohorting, time-series, and survival analyses for growth, churn, and LTV.

• Implement anomaly detection and alerting on core revenue/usage KPIs.

• Design scalable KPI dashboards in Apache Superset (daily/weekly/monthly) for executives and operators; enable self-serve exploration.

• Establish a governed metrics layer/semantic definitions to keep “one source of truth” across teams.

• Use templating/parameterization to make dashboards reusable by region, app, device class, cohort, etc.

• Align on schemas, SLAs, and data contracts; improve pipeline reliability and query performance.

• Build performant rollups/aggregate tables (daily/weekly/hourly) and materialized views for high-traffic queries; set sensible refresh cadences.

• Add tests, documentation, and lineage so models are trustworthy and maintainable.

Qualifications and Skills

• 6+ years in BI/Data Analytics (media/CTV/streaming or ad-supported required), owning high-impact dashboards and analyses.

• Expert SQL on modern warehouses (Redshift/Snowflake/BigQuery); comfortable with multi-CTE patterns, window functions, tuning, and semi-structured JSON/SUPER parsing.

• Strong BI chops (Superset/Tableau/Looker/Mode) with an eye for clarity, performance, and reuse. We currently use Superset for our visualizations.

• Fluency in monetization metrics (ARPU, CPM/eCPM, RPH, fill-rate, auction stages) and attribution nuances.

• Familiarity with streaming/app lifecycle data (sessions, playback, retention, cohorts) and high-volume event streams.

• Excellent communicator: crisp problem framing, clear data stories, and pragmatic recommendations.

• Program/project mindset: prioritization, stakeholder alignment, on-time delivery.

Nice to Have

• Experience using and setting up an “ask-the-data” experience with natural language AI tools, helping stakeholders get quick, reliable insights without deep SQL knowledge in a self-service manner.

• Python/R for analytics (pandas, NumPy), notebooks, and lightweight ETL.

• dbt for model governance; Airflow/Prefect for orchestration; Git-based workflows and CI for analytics.

• Experience with ad tech & measurement (OpenRTB, SSAI, MMPs, household graphs, privacy/consent frameworks).

• Time-series forecasting, anomaly detection, and causal inference methods.

• Metric layer tools (e.g., dbt Semantic Layer, LookML, Cube/MetricFlow) and documentation/lineage tools.

• Spark/PySpark for scale; familiarity with cost/perf tuning in cloud data stacks.

About Encora

Encora is a global company that offers Software and Digital Engineering solutions. Our practices include Cloud Services, Product Engineering & Application Modernization, Data & Analytics, Digital Experience & Design Services, DevSecOps, Cybersecurity, Quality Engineering, AI & LLM Engineering, among others.

At Encora, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.