Data Analyst
2 days ago
MIS Analyst — Job Description
Job title:
MIS Analyst / MIS Executive
Location:
Gurugram
Employment type:
Full-time
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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