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SQL & Business Analysis: Translate ambiguous business questions into precise SQL queries against our Snowflake warehouse. Own and deliver recurring financial reporting, reconciliation, and operational analytics with an eye for improving efficiency over time
Diagnostic & Advanced Analytics: Go beyond dashboards to explain why metrics move. Conduct root cause analyses, build forecasting models, and support decision-making through churn analysis, customer segmentation, CLV, A/B testing, and similar techniques
Business Intelligence & Self-Service Analytics: Build, maintain, and optimize Looker dashboards, Explores, and LookML definitions that provide governed, reliable, self-service analytics. Govern the semantic layer — metrics, dimensions, and business logic — that powers trusted reporting and AI-enabled analytics. Train business users to leverage these tools confidently
Finance Partnership & Compliance: Serve as the primary analytical partner to the Finance team. Own financial reporting, reconciliation, and forecasting workflows. Support SOX audits and ITAC testing, ensuring financial data is accurate, auditable, and well-documented
Data Quality & Cross-Functional Collaboration: Monitor and improve data quality across analytical pipelines, especially for finance-critical datasets. Gather requirements from stakeholders, translate business needs into technical specs, and collaborate with Data and Analytics Engineers to resolve upstream issues
Requirements:
Experience: 3+ years in a Data Analyst, Analytics Engineer, or BI Analyst role in a modern cloud data stack environment
SQL mastery: Advanced SQL including CTEs, window functions, joins, and performance-aware querying in Snowflake or a comparable cloud warehouse
Looker expertise: Hands-on experience with Looker: dashboard development, Explores, LookML, governed metrics, and enabling self-service analytics for business users
dbt proficiency: Ability to read, maintain, test, and document dbt models. Familiarity with sources, tests, macros, lineage, and dbt development workflows
Finance domain knowledge: Solid understanding of GL, journal entries, trial balance, financial statements, reconciliations, and period-close processes. SOX/ITAC experience is highly valued
Data modeling: Working knowledge of dimensional modeling — fact/dimension tables, star schemas, slowly changing dimensions
Statistical & predictive analysis: Applied experience with regression, classification, A/B testing, segmentation, and forecasting using SQL, Python, or similar tools
Communication: Ability to explain complex analysis clearly to both Finance leadership and technical peers. Strong written and verbal skills
Version control: Comfortable with Git/GitHub: branching, PRs, and collaborative development in a terminal environment
AI & LLM analytics: Experience with LLMs or AI-assisted analytics tools (Claude, Gemini, GPT, Looker Conversational Analytics). Exposure to Cortex Analyst, Cortex Search, or AISQL capabilities. Understanding of MCP integration patterns is a plus
Nice to have:
Telecom / subscription domain: Experience in telco, connectivity, or subscription environments (MVNOs, ISPs). Familiarity with churn, ARPU, MRR, billing, and provisioning metrics
Workflow orchestration: Familiarity with Airflow, Dagster, or Prefect for understanding scheduled pipelines and diagnosing failures
Certifications: Looker, Snowflake, dbt, or cloud platform certifications