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Job Title:- Head of Analytics

Job Location:- Bangalore - On - site

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 start-ups using qrata’s talent marketplaces. To sign-up please visit Qrata Talent Sign-Up

We are currently scouting for Head of Analytics

Our Client Story:

Founded by a team of seasoned bankers with over 120 years of collective experience in banking, financial services and cards, encompassing strategy, operation, marketing, risk & technology, both in India and internationally.

We offer credit card processing Solution that can help you in effectively managing your credit card portfolio end-to-end. These solution are customized to meet the unique strategic, operational and compliance requirements of each bank.

1. Card Programs built for Everyone Limit assignment based on customer risk assessment & credit profiles including secured cards

2. Cards that can be used Everywhere. Through POS machines, UPI, E-Commerce websites

3. A Card for Everything Enable customer purchases, both large and small

4. Customized Card configurations Restrict usage based on merchant codes, location, amount limits etc

5. End-to-End Support We undertake the complete customer life cycle management right from KYC checks, onboarding, risk profiling, fraud control, billing and collections

6. Rewards Program Management We will manage the entire cards reward and customer loyalty programs for you

What you will do:

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 modelling, and data visualization will be instrumental in driving growth and enhancing the overall performance of our credit card business

Qualification:

• 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

What you can expect:

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 behaviour, 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

For more Opportunities Visit: Qrata Opportunities.

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. 

Responsibilities

This role requires a person to support business charters & accompanying products by aligning with the Analytics

Manager’s vision, understanding tactical requirements and helping in successful execution. Split would be approx.

70% management + 30% individual contributor. Responsibilities include

Project Management

- Understand business needs and objectives.

- Refine use cases and plan iterations and deliverables - able to pivot as required.

- Estimate efforts and conduct regular task updates to ensure timeline adherence.

- Set and manage stakeholder expectations as required

Quality Execution

- Help BA and SBA resources with requirement gathering and final presentations.

- Resolve blockers regarding technical challenges and decision-making.

- Check final deliverables for correctness and review codes, along with Manager.

KPIs and metrics

- Orchestrate metrics building, maintenance, and performance monitoring.

- Owns and manages data models, data sources, and data definition repo.

- Makes low-level design choices during execution.

Team Nurturing

- Help Analytics Manager during regular one-on-ones + check-ins + recruitment.

- Provide technical guidance whenever required.

- Improve benchmarking and decision-making skills at execution-level.

- Train and get new resources up-to-speed.

- Knowledge building (methodologies) to better position the team for complex problems.

Communication

- Upstream to document and discuss execution challenges, process inefficiencies, and feedback loops.

- Downstream and parallel for context-building, mentoring, stakeholder management.

Analytics Stack

- Analytics : Python / R + SQL + Excel / PPT, Colab notebooks

- Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike

- Warehouse : Amazon Redshift

- ETL : Lots of Python + custom-made

- Business Intelligence / Visualization : Metabase + Python/R libraries (location data)

- Deployment pipeline : Docker, Git, Jenkins, AWS Lambda

Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India. 

We are looking for experienced data enthusiasts who can make the data talk to them. 

You will: 

• Understand business problems and translate business requirements into technical requirements. 
• Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it. 
• Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization. 
• Gather requirements and communicate findings in the form of a meaningful story with the stakeholders  
• Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption. 
• Lead and mentor data analysts. 

We are looking for someone who has: 

• Apart from your love for data and ability to code even while sleeping you would need the following. 
• Minimum of 02 years of experience in designing and delivery of data science solutions. 
• You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off. 
• Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand. 
• Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc. 
• Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics 

Skillset Required:

• Regression
• Classification
• Predictive Modelling
• Prescriptive Modelling
• Python
• R
• Descriptive Modelling
• Time Series
• Clustering
•  

What is in it for you: 

• Be a part of building the biggest brand in Data science. 
• An opportunity to be a part of a young and energetic team with a strong pedigree. 
• Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate. 

Please Note:  

At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight! 

Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination. 

All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions. 

Ganit Inc. is the fastest growing Data Science & AI company in Chennai.

Founded in 2017, by 3 industry experts who are alumnus of IITs/SPJIMR with each of them having 17+ years of experience in the field of analytics.

We are in the business of maximising Decision Making Power (DMP) for companies by providing solutions at the intersection of hypothesis based analytics, discovery based AI and IoT. Our solutions are a combination of customised services and functional product suite.

We primarily operate as a US-based start-up and have clients across US, Asia-Pacific, Middle-East and have offices in USA - New Jersey & India - Chennai.

Started with 3 people, the company is fast growing with 100+ employees

1. What do we expect from you

- Should posses minimum 2 years of experience of data analytics model development and deployment

- Skills relating to core Statistics & Mathematics.

- Huge interest in handling numbers

- Ability to understand all domains in businesses across various sectors

- Natural passion towards numbers, business, coding, visualisation

2. Necessary skill set:

- Proficient in R/Python, Advanced Excel, SQL

- Should have worked with Retail/FMCG/CPG projects solving analytical problems in Sales/Marketing/Supply Chain functions

- Very good understanding of algorithms, mathematical models, statistical techniques, data mining, like Regression models, Clustering/ Segmentation, time series forecasting, Decision trees/Random forest, etc.

- Ability to choose the right model for the right data and translate that into code in R, Python, VBA (Proven capabilities)

- Should have handled large datasets and with through understanding of SQL

- Ability to handle a team of Data Analysts

3. Good to have skill set:

- Microsoft PowerBI / Tableau / Qlik View / Spotfire

4. Job Responsibilities:

- Translate business requirements into technical requirements

- Data extraction, preparation and transformation

- Identify, develop and implement statistical techniques and algorithms that address business challenges and adds value to the organisation

- Create and implement data models

- Interact with clients for queries and delivery adoption

5. Screening Methodology

- Problem Solving round (Telephonic Conversation)

- Technical discussion round (Telephonic Conversation)

- Final fitment discussion (Video Round

The person holding this position is responsible for leading the solution development and implementing advanced analytical approaches across a variety of industries in the supply chain domain.

At this position you act as an interface between the delivery team and the supply chain team, effectively understanding the client business and supply chain.

Candidates will be expected to lead projects across several areas such as

• Demand forecasting
• Inventory management
• Simulation & Mathematical optimization models.
• Procurement analytics
• Distribution/Logistics planning
• Network planning and optimization

Qualification and Experience

• 4+ years of analytics experience in supply chain – preferable industries hi-tech, consumer technology, CPG, automobile, retail or e-commerce supply chain.
• Master in Statistics/Economics or MBA or M. Sc./M. Tech with Operations Research/Industrial Engineering/Supply Chain
• Hands-on experience in delivery of projects using statistical modelling

Skills / Knowledge

• Hands on experience in statistical modelling software such as R/ Python and SQL.
• Experience in advanced analytics / Statistical techniques – Regression, Decision tress, Ensemble machine learning algorithms etc. will be considered as an added advantage.
• Highly proficient with Excel, PowerPoint and Word applications.
• APICS-CSCP or PMP certification will be added advantage
• Strong knowledge of supply chain management
• Working knowledge on the linear/nonlinear optimization
• Ability to structure problems through a data driven decision-making process.
• Excellent project management skills, including time and risk management and project structuring.
• Ability to identify and draw on leading-edge analytical tools and techniques to develop creative approaches and new insights to business issues through data analysis.
• Ability to liaison effectively with multiple stakeholders and functional disciplines.
• Experience in Optimization tools like Cplex, ILOG, GAMS will be an added advantage.