Roles and Responsibilities
1.
Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.
2.
Ideate, design, and implement program that focused on post-training support for mental health first-aiders.
3.
Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).
4.
Oversee and facilitate MHFAI instructors for training and upskilling.
5.
Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.
6.
Draft and initiate scientific research, and create tools required at workplace to measure mental health.
7.
Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.
8.
Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.
9.
Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.
10.
Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.
11.
Provide support in other operational functions of MHFA as needed.
Requirements:
•
1 to 3 years in clinical work and / or mental health training
•
Qualification: Msc. Counselling Psychology
Msc. Applied Psychology (any specialization, preferably HR Specialization ), MSW (Social Work)
•
Experience in Clinical Practice / Research
•
Exposure to mental health training and created content or training on Mental Health for Adult
•
Experience of having previously worked in organized group is desirable
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About MHFAIndia
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Role: Head of Analytics
Location: Bangalore (Full time)
ABOUT QRATA:
Qrata matches top talent with global career opportunities from the world’s leading digital companies including some of the world’s fastest growing startups using Qrata’s talent marketplaces. To sign-up, please visit Qrata Talent Sign-Up
ABOUT THE COMPANY WE ARE HIRING FOR:
Our client is offering credit card solutions for banks and financial institutions. It provides services like credit card design and onboarding, credit card authorization, payment processing, collections and dispute resolutions, credit card fraud detection, and more. They serve in the B2B space in the FinTech market segments.
POSITION OVERVIEW
We are seeking an experienced individual for the role of Head of Analytics. As the Head of Analytics, you will be responsible for driving data-driven decision-making, implementing advanced analytics strategies, and providing valuable insights to optimize our credit card business operations, sales and marketing, risk management & customer experience. Your expertise in statistical analysis, predictive modeling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business.
Responsibilities:
1. Develop and implement Analytics Strategy:
o Define the analytics roadmap for the credit card business, aligning it with overall
business objectives.
o Identify key performance indicators (KPIs) and metrics to track the performance
of the credit card business.
o Collaborate with senior management and cross-functional teams to prioritize and
execute analytics initiatives. 2. Lead Data Analysis and Insights:
o Conduct in-depth analysis of credit card data, customer behavior, and market trends to identify opportunities for business growth and risk mitigation.
o Develop predictive models and algorithms to assess credit risk, customer segmentation, acquisition, retention, and upsell opportunities.
o Generate actionable insights and recommendations based on data analysis to optimize credit card product offerings, pricing, and marketing strategies.
o Regularly present findings and recommendations to senior leadership, using data visualization techniques to effectively communicate complex information.
3. Drive Data Governance and Quality:
o Oversee data governance initiatives, ensuring data accuracy, consistency, and
integrity across relevant systems and platforms.
o Collaborate with IT teams to optimize data collection, integration, and storage
processes to support advanced analytics capabilities.
o Establish and enforce data privacy and security protocols to comply with
regulatory requirements.
4. Team Leadership and Collaboration:
o Build and manage a high-performing analytics team, fostering a culture of innovation, collaboration, and continuous learning.
o Provide guidance and mentorship to the team, promoting professional growth and development.
o Collaborate with stakeholders across departments, including Marketing, Risk Management, and Finance, to align analytics initiatives with business objectives.
5. Stay Updated on Industry Trends:
o Keep abreast of emerging trends, techniques, and technologies in analytics, credit
card business, and the financial industry.
o Leverage industry best practices to drive innovation and continuous improvement
in analytics methodologies and tools.
Qualifications:
Bachelor's or master’s degree in Technology, Mathematics, Statistics, Economics, Computer Science, or a related field.
Proven experience (7+ years) in leading analytics teams in the credit card industry.
Strong expertise in statistical analysis, predictive modelling, data mining, and segmentation techniques.
Proficiency in data manipulation and analysis using programming languages such as Python, R, or SQL.
Experience with analytics tools such as SAS, SPSS, or Tableau.
Excellent leadership and team management skills, with a track record of building and developing high-performing teams.
Strong knowledge of credit card business and understanding of credit card industry dynamics, including risk management, marketing, and customer lifecycle.
Exceptional communication and presentation skills, with the ability to effectively communicate complex information to a varied audience.
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ASP.NET MVC | ASP.NET Core | EF Core | MVC applications (Advanced)
Entity Framework | ADO.NET (Moderate)
Proficient knowledge in MSSQL | PostgreSQL | Oracle | LINQ | Couch base (Moderate)
Database design including indexes and data integrity
Dependency injection , IoC containers using: Autofac , Handlers,
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