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Data Analyst

Data Analyst

Policybazaar.com

2 years

0 Lacs

gurugram haryana india

Posted:7 hours ago| Platform:

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Skills Required

data reporting management reports analysis metrics design visual power tableau extract etl erp crm sql excel resolve report support cadence automation analytics pivot query vba macros extraction looker communication python

Work Mode

On-site

Job Type

Full Time

Job Description

Job title:

Location:

Employment type:

Role summary

We’re looking for a detail-obsessed MIS Analyst to own regular business reporting, build and maintain dashboards, and turn operational and financial data into clear, actionable insights.

Key responsibilities

Prepare, consolidate and distribute regular management reports (daily/weekly/monthly/quarterly) — P&L summaries, variance analysis, topline metrics, etc.
Design, build and maintain interactive dashboards and visual reports (Power BI / Tableau / Looker).
Extract, transform and load (ETL) data from multiple sources (ERP, CRM, spreadsheets, databases).
Write and maintain SQL queries, Excel models and automated processes to reduce manual effort.
Ensure data quality and reconcile data across systems; investigate and resolve discrepancies.
Develop and document standard report definitions, KPIs and data dictionaries.
Support ad-hoc analyses and business queries (scenario analysis, trend analysis, root-cause).
Work closely with stakeholders to understand reporting needs and translate them into dashboards/automations.
Implement process improvements (reporting cadence, automation, governance).
Train stakeholders on using dashboards and interpreting metrics.
Support month-end and quarter-end reporting as required.

Required skills & experience

2+ years experience in MIS, reporting, business analytics or a related function.
Advanced Excel skills (pivot tables, advanced formulas, Power Query, VBA/macros desirable).
Strong SQL skills for data extraction and manipulation.
Experience with at least one BI tool (Power BI / Tableau / Looker / Qlik).
Comfortable with data modeling, ETL concepts and basic data warehousing principles.
Strong analytical mindset, attention to detail and problem-solving ability.
Good stakeholder management and communication—able to present insights to non-technical audiences.

Nice-to-have

Basic knowledge of Python/R for data tasks and automation.
Prior experience in the industry (FinTech / Insurance)— optional.

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