数据分析师

Role Overview: Lead analytics and data transformation initiatives, partner with business leaders to deliver actionable KPIs, executive dashboards, strong delivery governance, and advanced analytics/GenAI-driven insights across functions.
Key Responsibilities

• Lead end-to-end analytics and data transformation initiatives, including assessments, KPI frameworks, dashboards, and self-service enablement

• Partner with executive and functional leaders to translate business objectives into actionable KPIs, OKRs, and insight

• Deliver executive, operational, and drill-down dashboards across Supply Chain, Finance, Operations, and Marketing

• Manage cross-functional, multi-disciplinary teams across onsite and offshore delivery models

• Establish delivery governance, project plans, risk management, and stakeholder communication cadences

• Drive data governance, platform integration, adoption, and change management

• Identify opportunities to apply advanced analytics, automation, and GenAI to improve decision-making

Required Experience & Qualifications

• 5+ years leading analytics, BI, or data transformation programs through consulting or strong industry roles in operations, strategy, or marketing

• Experience across QSR, restaurants, travel, tourism, hospitality, events, retail, or consumer services

• Proven experience working closely with senior leadership and client stakeholders in the US and/or Canada

• Strong expertise in KPI frameworks, performance management, and industry benchmarking

• Demonstrated success managing complex, cross-functional and multi-vendor teams

Technical & Analytics Skills

• BI & Visualization: Power BI, Tableau, Looker, or Qlik

• Data & Analytics: SQL (strong), basic to intermediate Python preferred

• Data Platforms: Exposure to Snowflake, Databricks, BigQuery, or Redshift

• Analytics Techniques: Descriptive and diagnostic analytics, trend analysis, KPI tracking, basic forecasting

• Experience working with data from POS, ERP, supply chain, workforce, or marketing systems is a plus

Education & Certifications

• Bachelors degree in Analytics, Statistics, Economics, Engineering, Computer Science, or related field

• Relevant certifications (Power BI, Tableau, SQL, or cloud fundamentals) are a plus

Originally posted on Himalayas