Senior Data Analyst

Tabby

WorldwideremotePosted 25 days ago

Skill Required

Customer-Experience-AnalyticsData-AnalystOperations-and-AnalyticsBusiness-IntelligenceCX-AnalystSenior-Level-Data-AnalystSenior-Data-Analyst-JobsSenior-BI-and-Data-AnalystSenior-Data-Analyst-RolesData AnalystGenerative AIMachine LearningEngineeringanalyticalBigQueryAirflowTableauwrittenPythonLookerAPIsSQLFulltime

Key highlights

4+ years required data analyst experience.
Advanced SQL expertise (BigQuery/ClickHouse).
Employee stock options programme.
International, fully remote‑friendly team.
Relocation support provided.
Opportunity for rapid growth in a fast‑growing fintech.

Role overview

Responsibilities

Analyze large-scale datasets related to agent performance, support interactions and QA.
Write optimized SQL queries using tools like BigQuery and ClickHouse.
Build dashboards in Tableau, Metabase.
Detect behavioral and performance trends among agents and support teams.
Partner with QA to identify root causes in agent behavior and customer issues.
Use LLM tools with practical prompt engineering for daily analytical tasks, summarization, and insights generation.
Assess and profile LLM outputs for quality, relevance, and analytical correctness in business contexts.
Integrate LLM APIs and model outputs into analytical or internal tooling workflows.
Work with Airflow and Python to automate data tasks and support workflows.
Optimize analytics pipelines and data marts to improve performance, resource efficiency, and reliability.
Identify and refactor inefficient DAGs, queries, and transformations to ensure scalable and cost-effective data processing.
Suggest and co-build improvements in agent tooling, ticket routing, and SLA tracking.
Translate business inefficiencies into trackable metrics and measurable outcomes.
Act as an analytical partner to Operations, Support Management, QA, and Training.
Collaborate with Data Engineering to ensure clean, accurate, and well‑modeled data pipelines.
Communicate findings clearly through presentations, visualizations, and concise documentation.

Requirements

4+ years of experience as a data analyst in a fast‑paced, data‑heavy environment.
Advanced SQL skills (preferably in BigQuery and/or ClickHouse).
Proficiency in Python for data analysis, automation, and integration tasks.
Experience with data visualization tools (e.g., Tableau, Metabase, Looker).
Understanding of Airflow, DAG orchestration, and modern data pipelines.
Experience with LLM agents, prompt engineering, and API usage.
Upper‑Intermediate or higher English proficiency (spoken and written).
Ability to translate business questions into structured, testable hypotheses.
Strong presentation and storytelling skills; able to communicate with technical and non‑technical stakeholders alike.

Nice to have

Experience with forecasting and/or machine learning would be an advantage.

Benefits

International team of inspired professionals located worldwide.
Inclusive company culture embracing diversity, integrity, and transparency.
Emphasis on work‑life balance and support for personal time with loved ones.
100% trust and freedom to apply personal vision and ideas from day one.
Employee stock options programme available for everyone.
Opportunity to learn and grow in one of the fastest‑growing fintech companies in the region.
Relocation support and guidance through the entire process.
Provision of necessary devices for work.