Senior Data Analyst

September 22, 2026

Remote

Senior

Yerevan

Important before applying

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English is required

Description

We are looking for a Data Analyst to join the team and help turn data into meaningful insights that support better business and operational decisions. The role works with data across customers, shoppers, orders, deliveries, operations, and product performance. You will analyze trends, identify opportunities and issues, build reports and dashboards, and collaborate closely with different teams to support data-driven decision-making.

Responsibilities

Collect, analyze, and interpret data from different business and operational sources
Create and maintain reports, dashboards, and performance metrics to support business decisions
Analyze orders, customers, shoppers, deliveries, and operational performance to identify trends and opportunities
Monitor key business and operational KPIs and highlight significant changes or potential issues
Translate business questions into clear analytical requirements and provide actionable insights
Work closely with Product, Operations, Customer Support, Shopper, Engineering, and Management teams to support data-driven decisions
Identify patterns, trends, and anomalies and communicate findings clearly to stakeholders
Ensure data accuracy, consistency, and reliability across reports and analyses
Support the development and improvement of data models, reporting processes, and analytical methodologies
Present analytical findings and recommendations to both technical and non-technical stakeholders
Contribute to improving data-driven processes and overall data literacy across the organization

Requirements

5+ years of experience as a Data Analyst, Business Analyst, or in a similar analytical role
Strong SQL skills and experience working with relational databases
Experience with data visualization and BI tools such as Looker, Power BI, Tableau, or similar
Strong analytical and problem-solving skills with attention to detail
Good understanding of business and operational KPIs and data analysis methodologies
Experience working with large datasets and translating complex data into clear insights
Strong communication skills and the ability to present findings to non-technical stakeholders
Experience with Python or another programming language for data analysis is a plus
Experience in e-commerce, technology, logistics, marketplace, or delivery businesses is a plus
Ability to work independently while collaborating effectively within a cross-functional Agile environment
Strong English communication skills

Conditions

Cross-functional Agile environment with collaboration across Product, Operations, and Engineering teams

SQLLookerPower BITableauPythonRelational databasesBI toolse-commerce / delivery / marketplaceAnalytical and problem-solving skillsAttention to detailCommunication skills

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