The role within Niro Money, Data and Analytics team involves translating data into actionable insights to enhance marketing ROI, drive business growth, and improve customer experience for various financial products such as personal loan, home loan, credit card, and insurance. The successful candidate will possess a strong background in data analytics and be capable of providing strategic recommendations to key stakeholders and business leaders. You will lead, mentor, and develop a high-performing team of data analysts and data scientists focused on building decision science models and segmentations to predict customer behaviors. Collaborating with the Partnership & Marketing team, you will conduct marketing experiments to enhance funnel conversion rates. Additionally, you will evaluate the effectiveness of marketing campaigns, identify successful strategies, recommend necessary changes, and oversee the implementation of customer journey-related product enhancements. Creating a culture of collaboration, innovation, and data-driven decision-making across various teams is crucial. You will manage multiple analytics projects concurrently, prioritizing them based on potential business impacts and ensuring timely and accurate completion. Project planning, monitoring, and addressing challenges promptly to keep projects on track are essential responsibilities. Collaborating with Data Engineering, Technology, and Product teams, you will develop and implement data capabilities for conducting marketing experiments and delivering actionable insights at scale. Applicants should hold a Master's degree in statistics, mathematics, data science, economics, or a BTech in computer science or engineering. A minimum of 5 years of hands-on experience in decision science analytics and developing data-driven strategies, preferably in the financial services industry, is required. You should also have at least 2 years of experience in managing and leading teams of data analysts and data scientists. Proficiency in statistical model development within financial service industries, including the use of logistic regression/gradient boosting algorithms with Python packages like Scikit-learn, XGBoost, Stats models, or decision tree tools, is essential. Moreover, candidates should have a minimum of 2 years of practical experience in SQL and Python. A proven track record of making data-driven decisions and solving problems based on analytics is necessary. Familiarity with Snowflake, AWS Athena/S3, Redshift, BI Tools like AWS Quicksight is advantageous. An analytical mindset, the ability to assess complex scenarios, and make data-driven decisions are essential qualities. A creative and curious nature, willingness to learn new tools and techniques, and a data-oriented personality are desired traits. Excellent communication and interpersonal skills are crucial for effectively collaborating with diverse stakeholders.,
The role within Niro Money, Data and Analytics team involves translating data into actionable insights to enhance marketing ROI, business growth, and customer experience for various financial products like personal loans, home loans, credit cards, and insurance. You will be required to have a strong background in data analytics and deliver strategic recommendations to key stakeholders and business heads. You will lead, mentor, and develop a high performing team of data analysts and data scientists focused on building decision science models and segmentation to predict customer behaviors. Additionally, you will develop data-driven strategies to optimize marketing ROI for different financial products such as personal loans and credit cards. Collaborating with the Partnership & Marketing team, you will conduct marketing experiments to improve funnel conversion and measure the effectiveness of marketing campaigns and experiments, recommending necessary changes to enhance customer journey-related product changes. In this role, you will foster a culture of collaboration, innovation, and data-driven decision-making across multiple teams within Niro. Managing multiple analytics projects simultaneously, you will prioritize them based on potential business impacts and ensure timely and accurate project completion. You will also be responsible for project planning and monitoring, promptly addressing challenges to keep projects on track. Additionally, you will partner with Data Engineering, Technology, and Product teams to develop and implement data capabilities for running marketing experiments and delivering actionable insights at scale. The ideal candidate for this role should possess a Master's degree in statistics, mathematics, data science, economics, or BTech in computer science or engineering. You should have at least 5 years of hands-on experience in decision science analytics and building data-driven strategies, preferably in the financial services industry. Additionally, you should have 2+ years of experience in managing and leading a team of data analysts and data scientists, as well as hands-on experience in statistical model development using Python packages like Scikit learn, XGBoost, Stats models, or decision tree tools. Proficiency in SQL and Python is essential, along with a proven track record of decision-making and problem-solving based on analytics. Experience with Snowflake, AWS Athena/S3, Redshift, and BI Tools like AWS Quicksight would be advantageous. You should have a strong analytical mindset, the ability to evaluate complex scenarios, and make data-driven decisions. Being creative and curious with a willingness to learn new tools and techniques is crucial. A data-oriented personality, along with excellent communication and interpersonal skills to collaborate effectively with diverse stakeholders, will be key to success in this role.,