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Head of Data Analytics
4 weeks ago
About Vyapar:
We are a technology and innovation company in the fintech space, delivering business accounting software to Micro, Small & Medium Enterprises (MSMEs). With over 10 million users across 140 countries, we are one of the fastest-growing companies in this space. We take the complexity out of invoicing, inventory management & accounting, making it so simple that small businesses can spend less time on manual bookkeeping and focus on areas of business that matter.
Role Summary:
As the Head of Data Analytics & Data Science, you will lead our data-driven strategy and insights generation. In this role, you will oversee a talented team of data analysts and scientists, ensuring that we leverage data to inform business decisions, optimize product features, and enhance user experience. You will work closely with cross-functional teams, including product management, engineering, and marketing, to harness the power of data and drive actionable insights.
Key Objectives: Develop and execute a comprehensive data analytics and data science strategy aligned with Vyapar's business goals. Lead, mentor, and grow a high-performing team of data professionals.
Data Management: Oversee the collection, processing, and analysis of large datasets to derive actionable insights. Ensure data integrity, security, and compliance across all analytics initiatives.
Analytics & Insights: Identify key metrics and KPIs to track business performance and user engagement. Develop predictive models and advanced analytics solutions to inform product development and marketing strategies.
Cross-Functional Collaboration: Work closely with product, engineering, and marketing teams to translate data insights into product improvements and marketing strategies. Communicate findings and recommendations effectively to stakeholders at all levels.
Innovation & Trends: Stay up to date with industry trends and emerging technologies in data science and analytics. Drive innovation in data analytics techniques, tools, and methodologies
Requirements:
Educational Background: Master's degree in data science, statistics, mathematics, computer science, or a related field.
Experience: 10 to 15 years of experience in data analytics and data science, with a proven track record in a leadership role. Experience in a tech startup or SaaS environment is a plus.
Technical Skills: Proficiency in programming languages (e.g., Python, R), SQL, and familiarity with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI).
Analytical Expertise: Strong understanding of statistical analysis, machine learning algorithms, and data mining techniques.
Communication Skills: Excellent verbal and written communication skills, with the ability to present complex data insights to diverse audiences.
