About WizIQ:
Vision: WizIQ was founded in 2007 by Harman Singh and Late Harbir Khurana with a vision to give everyone an access to quality education. Centred around the idea that online learning can be effective and deliver results at scale if like classroom learning, its delivered by the teachers themselves.
Product: Offered as SaaS based platform, WizIQ supports a true virtual classroom environment with synchronous communication tools like video conferencing, shared whiteboards, shared desktops, real-time chat, real-time collaboration, presenter control, etc. More than a billion minutes of live, online learning have been delivered on WizIQ.
Customers: The platform is widely being used by teachers and trainers for professional courses, in classrooms, extended day learning, test-preps, homework help, and, of course, distance education. Near 300,000 teachers and trainers are registered on WizIQ.
Teachers can deliver online education in online or blended learning formats, connect with students, share educational content, create advanced test and assessment modules, and facilitate highly engaging learning experiences. WizIQ works on PCs, iPad and Android tablets and can be customized for languages such as Arabic and Hebrew (right to left) and other 19 languages.
Global presence: WizIQ is a 250 people strong organization with offices in Chandigarh, Bangalore, Hyderabad in India, and Raleigh in North Carolina, USA.
Revenue: WizIQ is an early stage company with a revenue potential of $50M in the next 5 years. With more than 80% of WizIQ’s revenue from outside of India, the company is poised to become a global SaaS business and plans to open offices in the Bay Area (USA), Europe, Middle East and Singapore.
Investors: Kaizen Private Equity, India’s first private equity fund focused on India’s $86 billion education sector, and Bertelsmann India Investments (BII), the strategic investment arm of Bertelsmann SE & Co. KGaA in India.
About the Role:
Title: Senior Analyst - Business Intelligence
Reports To: Harman (CEO)
Qualification:
- Candidates only from IIT, NIT, IIIT, BITs, DCE and NSIT.
Years of Experience:
- 1-2 year of experience in Data Analysis.
Role Description:
- The incumbent will be responsible for working across all aspects of managing data and providing analysis.
- He/ She will be primarily responsible for identifying, evaluating and developing Business Intelligence metrics and sharing in-depth analysis.
- The key focus would be on providing executive leadership and actionable insights by assimilating organizational data from various sources.
Principle Accountabilities:
Collate Data:
- Gather data from multiple sources including sales, product, and customer databases to create integrated views that can be used to drive decision making.
- Work with several large and complex SQL/NoSQL databases.
Conduct Data Analysis:
- Verify data quality to ensure accurate analysis and reporting.
- Perform analysis using all available sources of information (product usage data, user insights, revenue data, CRM etc.) and see beyond the numbers to understand how users interact with our core/business products.
- Influence strategies through fact-based data-driven insights and analysis.
- Create innovative solutions to an extensive range of complex data analysis requests.
Maintain Cross Functional Communication:
- Understand information needs of various functions, translate their requirements into coherent Business Intelligence (BI) reports and share information on an ongoing basis.
- Ensure all updates are shared in a timely fashion with all the relevant stakeholders.
- Work with cross-functional teams to develop experiments and analyze impact on success metrics like user acquisition, engagement, revenue etc.
Data Reporting & Concurring Analysis:
- Establish and own metrics to measure the success of products and share daily updates with the management.
- Analyze data vis-a-vis various initiatives on a routine basis with a view to gain insight and support Management decision making
Requirements / capabilities:
- Ideal candidate would be someone who enjoys coding but doesn’t want to make a career as software engineer
- Expertise in working with spreadsheets and SQL databases
- Hands-on with statistics, quantitative modeling and predictive modeling.
- Experience in conducting in-depth data analysis and creating insightful reports.
- Comfortable with working on multiple projects and multiple data sources concurrently.
- Expert in advanced analytics techniques coupled with the ability to form hypotheses and draw meaningful business insights.
- Detail Oriented with excellent Analytical and Quantitative Skills.
- Good Logical, creative, and innovative approach to solving problems
- Must be persistent, and enjoy working in a fast paced, results oriented and evolving environment.
- Exceptional communicator. Must be able to clearly articulate, visualize and present analytical work to both technical and non-technical audiences.
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