Automation & Business Analysis (Finance & Accounting Domain)

Puma Energy; Mumbai; Hybrid; INR 1,200,000 - 2,200,000; Full time

Job summary

Puma Energy in Mumbai seeks an Analyst Automation & Business Analysis to own BI and automation for the Mumbai GCC. You will build dashboards, partner with regional teams, and ensure real-time visibility with minimal manual reporting.

The role demands finance-fluent analysts who can translate business needs into KPI definitions and automated solutions, working with Tableau/Sigma and SQL.

Qualifications

• This role requires 5-7 years of BI/analytics engineering experience with dashboards used for real business decisions.
• Experience with Tableau or Sigma and strong SQL; Databricks is a plus.
• Must understand finance concepts and FP&A/Accounting perspectives.

Responsibilities

• Own the BI layer end-to-end for Mumbai GCC with live dashboards.
• Collaborate with region teams to define required scope before build.
• Work with central digitization for data engineering and governance.
• Promote self-serve analytics and reduce manual reporting.
• Define and automate regional KPI framework and SLA tracking.

Skills

Tableau

Sigma

SQL

Databricks

Education

Finance diploma/degree

Tools

Tableau

Job description

Role: Analyst Automation & Business Analysis

Location: Vikhroli

Working days and Time: 5-day WFO (post probation 1-day WFH)

Time: 11:30 AM to 8:30 PM (Transportation provided) | Food provided (lunch, dinner)

Main Purpose

This role is the embedded business-facing BI engineer & automation partner for all functions including Finance in Mumbai GCC. Role holder is expected to be aware of finance the way the FP&A & Accounting equivalent role does and works the requirements bottleneck that slows delivery. It also owns the operational KPI framework SLA tracking and the broader business-led portfolio the site is taking over from central digitization and automates it so the Site Head has real-time, trustworthy visibility without manual reporting. Forward-deployed engineer approach, not a downstream report-builder, sits with the site team, close to the business problem, iterating fast, builds fast against real operational questions, with the central platform / digitization team for complex builds / data engineering.

Key Responsibilities

• Own the BI layer end-to-end for the Mumbai GCC: build, iterate, and maintain dashboards and reporting (Tableau/Sigma) against live business questions, not static specs.
• Close the true bottleneck in the program requirement definition — by working shoulder-to-shoulder with region and functional teams to scope what's actually needed before it's built.
• Partner with the central digitization team on data engineering, security, and architecture governance for anything beyond the BI layer — escalated complex builds rather than solving them solo.
• Drive quality and adoption of self-serve analytics locally, reducing manual reporting and dependency on the shared services pool for day-to-day reporting asks.
• Feed a consistent view of regional KPIs and data definitions back into the global framework, keeping Africa aligned with other regions/functions without slowing down local delivery.
• Gather and translate business requirements directly, rather than waiting on requests routed through central digitization.
• Own the KPI framework for the region (incl. SLA tracking), define what good performance looks like, and automate measurement in Tableau/Sigma.
• Lead steady-state automation for finance processes (Accounting, Treasury, Controlling, FP&A) once projects transition from central digitization.
• Build and maintain BI dashboards end-to-end, iterating against live business questions rather than static specs.
• Ensure KPI and data definitions stay aligned globally while delivering fast, locally relevant solutions.

Requirements:

• 5-7 years of experience in BI/analytics engineering, with a track record of dashboards used in real business decisions — not just technical delivery. Finance diploma/degree will be a plus.
• Hands-on with Tableau or Sigma, and strong SQL — comfortable modeling data, not just visualizing it.
• Databricks awareness is a strong plus.
• Aware of finance and how FP&A/Accounting stakeholders think about numbers — able to hold a real conversation on what a metric means and why it matters, similar in depth to the FP&A & Accounting-facing role.
• Comfortable working with financial/operational data and translating it into KPIs finance and site leadership actually use.