Job Description
We are seeking a data-driven and analytical Business Intelligence (BI) Analyst to join our growing India Operations team. In this role, you will act as the vital bridge between global data intelligence team, data infrastructure and strategic tech support execution. You will be responsible for ensuring consistent metric definitions across customer support operations and designing and maintaining production ready dashboards with user friendly visual KPIs and action oriented insights.
The ideal candidate has a deep technical proficiency in modern reporting tools, combined with a sharp business mindset to translate analytical insights into user friendly dashboards and actionable insights.
- Build, publish, and maintain intuitive, high-performance dashboards and reports (primarily using Power BI or equivalent) to track operational metrics
- Establish and maintain robust customer SLA reporting templates and structures that empower non-technical business leaders to easily perform self-service data exploration
- Collaborate with data intelligence teams and enable structuring of raw datasets into clean, reporting-ready datasets.
- Standardize, define, and document enterprise-level KPIs and metrics to ensure a single version of the truth across all business units.
- Establish and maintain a centralized KPI repository and nomenclature in alignment with customer SLAs across all service tiers.
- Perform deep-dive analyses including trend analysis, root-cause identification, and hypothesis testing to solve critical business bottlenecks.
- Develop predictive models and deploy basic data science pipelines (Python/R) to forecast operational performance and customer success metrics.
- Partner directly with global operations teams to translate complex or region specific business problems into highly structured analytical use cases.
- Bridge the Gap: Serve as the technical translator between data Infrastructure Engineers, Data Scientists, and Operations, Finance, and other business stakeholders.
- Communicate technical findings through compelling visual storytelling and actionable data presentations to non-technical business leaders.
- Enforce data governance and resolve data quality anomalies in coordination with data engineering team.
- Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Engineering, Information Systems, or a related quantitative field.
- 5+ years of experience in analytics engineering, business intelligence, data engineering, or a highly technical analyst role.
- High proficiency in Power BI (including DAX, Power Query) or Sigma Computing
- Solid understanding of service desks like JIRA, Service Now etc. and relevant middleware, specifically the data interface APIs and optimized data extraction.
- Solid understanding of cloud-based warehousing architectures, specifically Databricks.
- Adequate SQL skills, including functions, and query optimization for performance and cost.
- Communication: Exceptional ability to communicate complex data structures and analytical insights to both technical teams and non-technical executives
- Experience writing production-level Python or PySpark script for general data manipulations.
- Certifications such as Microsoft Fabric Analytics Engineer Associate or dbt Analytics Engineering Certification.
Job Responsibilities
Collaborating With: Everseen’s Global Operations, Data intelligence team, Product team, and Engineering Team, our customers and our employees
Required Technical Skills:
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