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Senior Data Analyst

BangaloreFull-time2026-10-10 → 2026-10-11

Core

Single source of truth for operational performance, turning data from delivery, quality, content sources, and APIs into trusted insights for leadership decisions.

Role type

Senior Data Analyst (Operations & Product Intelligence)

Builds

Operational dashboards, delivery intelligence reports, quality metrics, API telemetry, and executive scorecards.

Domain

RegTech / Financial Services / SaaS Operations

Deliverable

dashboards & analysis

Required skills

Python (pandas, ETL, JSON/XML), SQL (joins, window functions), BI tooling (Power BI/Tableau/Looker), Data modelling (fact/dimension design), Statistical thinking, Data quality analysis, Executive communication (via careerplan.io/jobs/21ca82ff-ac98-4e88-b1c7-2aadac890732-senior-data-analyst-at-cube)

Preferred skills

Azure data stack (ADF, Synapse), API observability tools (New Relic, Datadog), Git workflows, Automation scripting, Advanced BI modelling (DAX, LookML), AI solutioning judgement

Technologies

Python, pandas, SQL, Power BI, Tableau, Looker, Jira, Confluence, Excel, Azure (ADF, Synapse), AWS/GCP, New Relic, Datadog

Responsibilities

Design and maintain live operational dashboards for throughput and SLAs; Track batch and sprint delivery with burn-downs and variance analysis; Build defect taxonomies and quality trend reports; Monitor source coverage, failure rates, and adapter health; Report on API call volumes, latency, and error rates; Quantify manual effort and automation ROI; Own daily/weekly/monthly executive reporting cadence; Ensure data quality, freshness, and reconciliation SLAs for all dashboards

Seniority

Senior, hands-on IC