Senior Data Analyst & KPI Advisor

About the job

Senior Data Analyst & KPI Advisor Location : Remote | Work Hours : Overlap with US Time Zones We are seeking senior Data Analytics professionals with strong domain expertise in Finance and Operations to support CXO-level decision-making for US-based enterprises and Private Equity–backed organizations. Requirements : • 10+ years of experience in data analytics within a leading consulting or advisory firm. • Finance or Operations MBA or Chartered Accountant qualification. • Prior experience working with US-based clients; comfortable working in overlapping US time zones. • Strong understanding of enterprise processes, including : Order to Cash (O2C) / Lead to Cash, Procure to Pay (P2P), Record to Report (R2R), Hire to Retire (H2R) • Experience supporting Large Enterprises; Private Equity portfolio company or sponsor experience preferred. Skills : • KPI-driven analytics and CXO-level reporting. • Strong proficiency in data visualization tools such as Power BI, Tableau, Alteryx, and Excel. • Experience with ETL / ELT pipelines, data lakes, and real-time data processing. • Familiarity with modern data platforms, including Snowflake, Databricks, Amazon Redshift, and Azure Synapse Analytics. • Outstanding communication and executive presentation skills. Role & Responsibilities : • Define and operationalize Finance & Operations KPIs aligned with business outcomes. • Translate business objectives into data requirements, metrics, and analytical models. • Build and deliver executive dashboards and insights for CXOs and senior leadership. • Support analytics initiatives for large enterprises and Private Equity portfolio companies. • Partner with business and data engineering teams to deliver scalable and reliable analytics solutions.

Requirements

• KPI-driven analytics
• Data visualization tools
• ETL / ELT pipelines
• Data lakes
• Real-time data processing
• Communication skills
• Executive presentation skills

Qualifications

• Finance or Operations MBA
• Chartered Accountant qualification

Preferred Technologies

• KPI-driven analytics
• Data visualization tools
• ETL / ELT pipelines
• Data lakes
• Real-time data processing
• Communication skills
• Executive presentation skills