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Salary
≈ $9.5k – $23k per year (Estimated)
Location
In office (Bengaluru)
Experience
2+ years exp

First seen by Alion on Oct 25, 2026.

Overview
Company
Impact
Profile match
NaArNi engineers electric buses built with 22nd-century DNA. Aspirational, dependable products that accelerate the end of fossil fuels in transport.

We are looking for a data analyst who can work with high-frequency IoT and telematics data from EV fleets to generate actionable insights. The role involves working across data pipelines, analytics layers, and dashboards to support operational and engineering decisions.


Responsibilities:

  • Write efficient and scalable SQL queries for large time-series datasets.
  • Perform data analysis using Python (Pandas, NumPy).
  • Build and maintain dashboards for fleet performance and anomaly detection.
  • Collaborate with data engineering teams to improve data quality.
  • Perform root-cause analysis on anomalies.
  • Optimise queries and dashboards for performance.


Requirements:

  • Strong proficiency in SQL.
  • Hands-on experience with Python (Pandas).
  • Good understanding of data structures and algorithms.
  • Strong logical reasoning and attention to detail.
  • Experience with BI tools (Superset, Power BI, Tableau, etc. )


Preferred:

  • Exposure to cloud data ecosystems (AWS, Trino/Presto, Iceberg, ClickHouse).
  • Familiarity with Airflow/dbt.
  • Understanding of EV or automotive telemetry data.

Skills

Power BI, Python, SQL, Superset, Tableau

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