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Role & Responsibilities
We are seeking an experienced and self-motivated Lead Product Manager with expertise in Auto-Tech (e.g., Spinny, Cars24, Acko, PolicyBazaar, Park+). The ideal candidate will focus on user retention, increasing app engagement, and scaling our products to the next level.
Key Responsibilities:
User Retention: Develop and execute strategies to retain users, increase session lengths, and improve app engagement.
Data-Driven Insights: Conduct user behavior analysis and leverage insights to drive product improvements.
UX Optimization: Lead UX enhancements and A/B testing to deliver an exceptional user experience.
Team Leadership: Mentor and guide product teams to achieve strategic goals.
Stakeholder Management: Ensure seamless collaboration across teams and alignment on product objectives.
Ideal Candidate
Industry Experience: Proven experience in Auto-Tech companies or similar sectors.
Product Expertise: Demonstrated success in scaling products and improving user retention.
Technical Skills: Strong command of data analytics, Google Analytics, and UX design principles.
Leadership Skills: Exceptional ability to lead teams, manage stakeholders, and drive challenges to solutions.
Innovative Thinking: Proven ability to improve live products through user-centric design and research.
We are seeking a highly motivated and knowledgeable DADS Trainer to conduct hands-on training in Data Analytics and Data Science. The ideal candidate will have strong domain expertise, coding proficiency, and a passion for teaching concepts in Python, statistics, machine learning, data visualization, and tools like Excel, Power BI, and SQL.
DataHavn IT Solutions is a company that specializes in big data and cloud computing, artificial intelligence and machine learning, application development, and consulting services. We want to be in the frontrunner into anything to do with data and we have the required expertise to transform customer businesses by making right use of data.
About the Role
We're seeking a talented and versatile Full Stack Developer with a strong foundation in mobile app development to join our dynamic team. You'll play a pivotal role in designing, developing, and maintaining high-quality software applications across various platforms.
Responsibilities
- Full Stack Development: Design, develop, and implement both front-end and back-end components of web applications using modern technologies and frameworks.
- Mobile App Development: Develop native mobile applications for iOS and Android platforms using Swift and Kotlin, respectively.
- Cross-Platform Development: Explore and utilize cross-platform frameworks (e.g., React Native, Flutter) for efficient mobile app development.
- API Development: Create and maintain RESTful APIs for integration with front-end and mobile applications.
- Database Management: Work with databases (e.g., MySQL, PostgreSQL) to store and retrieve application data.
- Code Quality: Adhere to coding standards, best practices, and ensure code quality through regular code reviews.
- Collaboration: Collaborate effectively with designers, project managers, and other team members to deliver high-quality solutions.
Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or a related field.
- Strong programming skills in [relevant programming languages, e.g., JavaScript, Python, Java, etc.].
- Experience with [relevant frameworks and technologies, e.g., React, Angular, Node.js, Swift, Kotlin, etc.].
- Understanding of software development methodologies (e.g., Agile, Waterfall).
- Excellent problem-solving and analytical skills.
- Ability to work independently and as part of a team.
- Strong communication and interpersonal skills.
Preferred Skills (Optional)
- Experience with cloud platforms (e.g., AWS, Azure, GCP).
- Knowledge of DevOps practices and tools.
- Experience with serverless architectures.
- Contributions to open-source projects.
What We Offer
- Competitive salary and benefits package.
- Opportunities for professional growth and development.
- A collaborative and supportive work environment.
- A chance to work on cutting-edge projects.
Role Summary:
Lead and drive the development in BI domain using Tableau eco-system with deep technical and BI ecosystem knowledge. The resource will be responsible for the dashboard design, development, and delivery of BI services using Tableau eco-system.
Key functions & responsibilities:
· Communication & interaction with Project Manager to understand the requirement
· Dashboard designing, development and deployment using Tableau eco-system
· Ensure delivery within given time frame while maintaining quality
· Stay up to date with current tech and bring relevant ideas to the table
· Proactively work with the Management team to identify and resolve issues
· Performs other related duties as assigned or advised
· He/she should be a leader that sets the standard and expectations through example in his/her conduct, work ethic, integrity and character
· Contribute in dashboard designing, R&D and project delivery using Tableau
Experience:
· Overall 3-7 Years of experience in DWBI development projects, having worked on BI and Visualization technologies (Tableau, Qlikview) for at least 3 years.
· At least 3 years of experience covering Tableau implementation lifecycle including hands-on development/programming, managing security, data modeling, data blending, etc.
Technology & Skills:
· Hands-on expertise of Tableau administration and maintenance
· Strong working knowledge and development experience with Tableau Server and Desktop
· Strong knowledge in SQL, PL/SQL and Data modelling
· Knowledge of databases like Microsoft SQL Server, Oracle, etc.
· Exposure to alternate Visualization technologies like Qlikview, Spotfire, Pentaho etc.
· Good communication & Analytical skills with Excellent creative and conceptual thinking abilities
· Superior organizational skills, attention to detail/level of quality, Strong communication skills, both verbal and written
We are looking for a detail-oriented Business Analyst with expertise in Tableau, statistics, SQL, and Excel. The role involves data analysis, creating interactive dashboards, and providing actionable insights to support business decisions and improve operations.
Key Responsibilities:
- Data Analysis & Visualization: Use Tableau for dashboards and conduct statistical analysis.
- SQL & Data Management: Write and optimize SQL queries, ensure data accuracy.
- Reporting: Develop Excel spreadsheets, analyze business processes, and provide reports.
- Collaboration: Work with cross-functional teams to gather requirements and deliver insights.
- Project Management: Manage multiple projects, deliver timely reports, and support teams with data insights.
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.
Providing technical expertise for every phase of the project lifecycle—from concept
development to solution design, implementation, optimization and support. Interacts
with a set of clients (client senior developers and architects) to create technology
specifications from business requirements for one of the modules within the project.
Prepares the technical design of the more complex technology components within the
module (one or more of client/web presentation tier, server tier, data access and data
model, integration component, package function customization).
Assists the architect in articulating the pros and cons of using a certain technology stack
or component or design pattern versus another to the clients and project team and
drives selection of technologies, designs to come up with the optimal architecture.
Drives the performance tuning, re-design and re-factoring for a module.
Contributes to designing and implementing the build, releases process as well as system
configuration and deployment characteristics of the application.
Required Tech Stack
2+ years of strong development skills in Java with JDK 1. 8 & above version &
Microservices with Spring boot/ Spring.
Should have strong acumen in Data Structures, Algorithms, problem-solving and Logical/
Analytical skills.
Thorough understanding of OOPS concepts, Design principles and implementation of
different type of Design patterns.
Sound understanding of concepts like Exceptional handling, Serialization/Deserialization
and Immutability concepts, etc.
Good fundamental knowledge in Enums, Collections, Annotations, Generics, Auto
boxing, etc. Experience with Multithreading, Concurrent Package and Concurrent APIs Basic
understanding of Java Memory Management (JMM) including garbage collections
concepts.
Experience in RDBMS or NO SQL databases and writing SQL queries (Joins, group by,
aggregate functions, etc.)
Experience with at-least one NoSQL (Any of Cassandra/Couch base/Hadoop), Hands-on
experience with JMS
Hands-on experience in creating RESTful webservices and consuming webservices
Hands-on experience with Spring.
Hands-on experience with any of the logging frameworks (SLF4J/LogBack/Log4j)
Experience of writing Junit test cases using Mockito / Powermock frameworks.
Should have practical experience with Maven/Gradle and knowledge of version control
systems like Git/SVN etc.
Good communication skills and ability to work with global teams to define and deliver
on projects.
Sound understanding/experience in software development process, test-driven
development
Required Skills:
- Proven work experience as an Enterprise / Data / Analytics Architect - Data Platform in HANA XSA, XS, Data Intelligence and SDI
- Can work on new and existing architecture decision in HANA XSA, XS, Data Intelligence and SDI
- Well versed with data architecture principles, software / web application design, API design, UI / UX capabilities, XSA / Cloud foundry architecture
- In-depth understand of database structure (HANA in-memory) principles.
- In-depth understand of ETL solutions and data integration strategy.
- Excellent knowledge of Software and Application design, API, XSA, and microservices concepts
Roles & Responsibilities:
- Advise and ensure compliance of the defined Data Architecture principle.
- Identifies new technologies update and development tools including new release/upgrade/patch as required.
- Analyzes technical risks and advises on risk mitigation strategy.
- Advise and ensures compliance to existing and development required data and reporting standard including naming convention.
The time window is ideally AEST (8 am till 5 pm) which means starting at 3:30 am IST. We understand it can be very early for an SME supporting from India. Hence, we can consider the candidates who can support from at least 7 am IST (earlier is possible).
Profile Description:
The job holder will work with developers and the IT staff to oversee the code releases, combining an understanding of both engineering and coding. From creating and implementing systems software to analyzing data to improve existing ones, a DevOps Engineer increases productivity in the workplace.
Key Responsibilities:
- Understanding customer requirements and project KPIs
- Implementing various development, testing, automation tools, and IT infrastructure
- Planning the team structure, activities, and involvement in project management activities.
- Managing stakeholders and external interfaces
- Setting up tools and required infrastructure
- Defining and setting development, test, release, update, and support processes for DevOps operation
- Have the technical skill to review, verify, and validate the software code developed in the project.
- Troubleshooting techniques and fixing the code bugs
- Monitoring the processes during the entire lifecycle for its adherence and updating or creating new processes for improvement and minimizing the wastage
- Encouraging and building automated processes wherever possible
- Identifying and deploying cybersecurity measures by continuously performing vulnerability assessment and risk management
- Incidence management and root cause analysis
- Coordination and communication within the team and with customers
- Selecting and deploying appropriate CI/CD tools
- Strive for continuous improvement and build continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline)
- Mentoring and guiding the team members
- Monitoring and measuring customer experience and KPIs
- Managing periodic reporting on the progress to the management and the customer
Senior Software Engineer (FullStack)
Synup is a marketing platform for local businesses.
Ever tried to find the best Sushi restaurant in town?
- We help businesses like that be found online by helping them manage their online profiles across different platforms like Google, Facebook, Apple Maps, Yelp, etc.
- We build tools for them to interact with customers better by notifying them of latest reviews, helping them respond appropriately or collect feedback.
- We provide them with analytics reports that these businesses would not have otherwise had access to.
Our customers include businesses both small like a Sushi restaurant or large like your most trusted bank.
About your role as our new Senior Software Engineer (FullStack)
As an experienced engineer we know that you have built software to solve various business problems at your previous workplaces. You may have also explored technologies on your own for your learning or hobby projects.
- You will be building APIs for the Synup platform and also UI to make our platform capabilities available to our customers.
- You and the team that you are a part of will be collectively responsible building performant software and customer experiences that scale to our next million customers.
- You will be responsible for writing technical specs and contributing to it's implementation. We expect that you would have done the same in your previous workplaces.
- Other folks on our team are looking forward to learn from your experiences.
For engineers that join our team
- We expect you to be good with Ruby or Python to build APIs.
- You will be contributing to our UI that is built with React and GraphQL.
- We hope our team members have a strong grasp of software design patterns and know when to put them to good use.
- Experience with an SQL datastore would help a lot. PostgreSQL is our primary datastore.
- We optimize our search functionality and rollup reports by using ElasticSearch.
- We expect that you have used Redis. Redis is our swiss army knife to solve a lot of problems apart from just caching.











