Qureos

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Data Analyst

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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