Data Analyst
6 days ago
Role : Data Analyst
Location : Sector 64, Noida
Role Requirements
- Reporting & Dashboard Management
- Develop and maintain daily, weekly, and monthly performance dashboards for sales, marketing, and operations teams.
- Automate and streamline reporting processes to ensure data accuracy and timeliness.
- Track KPIs such as lead conversion, enrolments, deposits, campaigns, and counsellor performance.
- Data Analysis & Insights
- Analyze large data sets from CRM, LMS, and marketing systems to identify trends, patterns, and anomalies.
- Generate actionable insights to support management decisions on sales strategy, conversion optimization, and ROI.
- Perform variance analysis between forecasted and actual performance.
- CRM & Data Integrity
- Manage CRM data hygiene by monitoring lead movement, funnel accuracy, and duplicate entries.
- Collaborate with IT/CRM team to enhance data capture, tagging, and reporting accuracy.
- Cross-functional Collaboration
- Partner with Sales, Marketing, and Academic teams to ensure alignment of data-driven goals.
- Support leadership with ad-hoc reports, deep dives, and performance reviews.
- Forecasting & Planning Support
- Assist in building monthly/quarterly forecasts and productivity models.
- Provide insights on CRO productivity, lead-to-enrolment ratios, and channel-wise performance.
Key Skills & Competencies
- Advanced Excel (Pivot tables, Power Query, Macros), Google Sheets
- Power BI / Tableau / Looker Studio (preferred)
- SQL or data extraction skills (preferred)
- Strong analytical and problem-solving skills
- High attention to detail and data accuracy
- Understanding of EdTech or B2C sales funnels (advantage)
Qualification & Experience
- Bachelor's degree in Business, Statistics, Commerce, or related field (MBA preferred)
- 2–5 years of experience in MIS, Data Analytics, or Business Reporting (preferably in EdTech, BFSI, or Consumer Sales)
Performance Indicators
- Accuracy & timeliness of MIS reports
- Data-driven insights implemented by management
- Process automation & efficiency improvements
- Reduction in CRM discrepancies and reporting delays
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