
Business Development Executive :
Job Title: Business Development Executive
Location: [ Hyderabad ]
Experience: 2+ years in Business Development
Company Overview:
Interakt Techsol Pvt Ltd is a dynamic and innovative technology solutions provider, specializing in cutting-edge products such as B2Z, 7 Chain, JKC Junket Chain, TAMP, and Dustalk. We are committed to revolutionizing the industry and empowering businesses with transformative solutions.
Job Description:
As a Business Development Executive at Interakt Techsol Pvt Ltd, you will be responsible for driving revenue growth through strategic partnerships, client acquisition, and market expansion efforts. Your primary focus will be on promoting and selling our suite of products to potential clients.
Key Responsibilities:
Identify and develop new business opportunities to drive revenue growth.
Build and maintain strong relationships with key decision-makers and stakeholders.
Conduct market research to identify potential clients and market trends.
Collaborate with the marketing team to develop effective sales strategies and campaigns.
Present product demonstrations and proposals to prospective clients.
Negotiate contracts and agreements with clients to ensure favorable terms.
Work closely with the project management team to ensure successful implementation and delivery of projects.
Meet and exceed sales targets and KPIs set by the company.
Requirements:
Bachelor's degree in Business Administration, Marketing, or a related field.
Proven track record of 2+ years in business development, preferably in the technology industry.
Strong communication, negotiation, and interpersonal skills.
Excellent organizational and time-management abilities.
Ability to work independently and as part of a team.
Knowledge of CRM software and sales analytics tools is a plus.

About INTERAKT TECHSOL PRIVATE LIMITED
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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
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SAP CONCUR

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Have two or more iOS/Android apps developed with Flutter. Either deployed on the AppStore/Google Play or available on Github.
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Over one year of experience with developing Flutter applications for mobile and web.
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Experience with third-party libraries and APIs.
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Understanding of the Agile development life-cycle.
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Experience with automated testing and building.
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Experience with Git and Github.
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Proven experience in writing readable code, creating extensive documentation for
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Job Description
Want to make every line of code count? Tired of being a small cog in a big machine? Like a fast-paced environment where stuff get DONE? Wanna grow with a fast-growing company (both career and compensation)? Like to wear different hats? Join ThinkDeeply in our mission to create and apply Enterprise-Grade AI for all types of applications.
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Skills
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Bachelors/Masters or Phd in Computer Science or related industry experience
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7+ Years of industry experience in scripting languages such as Python, R.
7+ years in software development doing at least some level of Researching / POCs, Prototyping, Productizing, Process improvement, Large-data processing / performance computing
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Some experience in setting up large scale training data pipelines.
Some experience in using Cloud services such as AWS, GCP, Azure
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Experience in building deep learning models for Computer Vision and Natural Language Processing domains
Experience in productionizing/serving machine learning in industry setting
Understand the principles of developing cloud native applications
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Train, implement and evaluate shippable machine learning models
Deploy and iterate improvements of ML Models through feedback




