Project Manager / Quality Analyst

Qualifications & Experience:

▪ 2 - 4 years overall experience in ETLs, data pipeline, Data Warehouse development and database design

▪ Software solution development using Hadoop Technologies such as MapReduce, Hive, Spark, Kafka, Yarn/Mesos etc.

▪ Expert in SQL, worked on advanced SQL for at least 2+ years

▪ Good development skills in Java, Python or other languages

▪ Experience with EMR, S3

▪ Knowledge and exposure to BI applications, e.g. Tableau, Qlikview

▪ Comfortable working in an agile environment

Rankex Digital Marketing Agency (https://rankexdigital.com/) is a dynamic and innovative marketing firm dedicated to helping our clients achieve their digital marketing goals. We pride ourselves on our creative approach and commitment to delivering exceptional results.

Position Overview:

We are seeking a talented and motivated Graphic Designer with a minimum of 2 years of experience to join our creative team. The ideal candidate will possess a strong design portfolio, demonstrate creativity, and have a passion for visual storytelling.

Key Responsibilities:

• Collaborate with the marketing team to create visually compelling graphics for various digital platforms, including social media, websites, and email campaigns.
• Design logos, branding materials, and promotional collateral that align with client objectives and brand guidelines.
• Develop and maintain a consistent visual style across all design projects.
• Work on multiple projects simultaneously, ensuring timely delivery and adherence to project specifications.
• Stay updated on design trends and best practices to bring fresh ideas and concepts to the team.
• Present design concepts and incorporate feedback from stakeholders.

Qualifications:

• Bachelor’s degree in Graphic Design, Visual Arts, or a related field preferred.
• Minimum of 2 years of experience in graphic design, preferably in a digital marketing environment.
• Proficiency in Adobe Creative Suite (Photoshop, Illustrator, InDesign).
• Strong understanding of typography, color theory, and layout design.
• Excellent communication and collaboration skills.
• Ability to work independently and manage time effectively.
• A strong portfolio showcasing a variety of design projects.

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.

• Generate leads through marketing, lead gen tools, cold calling, events, existing customer outreach
• Locate the right person in the organization and Make the first pitch
• Send solutions and Services marketing collateral/ material over email
• Follow up, pitch, and convince the customer to try us/take a demo of services wherever we offer.
• Schedule an online meeting or discussion or chat with interested suspects through skype/Chat/phone for the sales closure team
• Develop and prospect sales opportunities as well as work on company-provided sales leads
• Manage a complex sales cycle with multiple decision-makers and present cost-benefit analyses to stakeholders
• Use our sales CRM tool, and update it at every step of the process.
• Maintain and build up a regular ongoing relationship with your suspects through skype, LinkedIn and other online social network sites sources
• Validate Leads by following our Sales qualification process
• Responsible for Data Mining and Market Research through the internet, Building databases, and Proficient in secondary research.
• Act as one point of contact for all client queries from Pre-Sales to Post Sales till project delivery and involved in strategic planning for the generation of inbound/ outbound leads & targeting to produce max revenue growth.
• Maintain and expand the database of prospects within the assigned territory
• Interested Candidates skype me your CV @ sscool07

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511

At Qsignage, we are looking for a person who is highly passionate about technology and automation with a focus on value-driven deliverables, wants to work, learn and expand their capability into the start-up domain.

This role is a great fit for someone who enjoys technology, project management, process improvement, and fast pace environment. 

Apply to the link below and get in touch with us now!

SKILLS REQUIRED (Full Stack Developer)

• A person should have sense of ownership, hold accountability for the task allocated with a data-driven and result-driven attitude
• Have Knack over the bigger picture while building the technology with a keen eye over the minute details
• Must be experienced in HTML/CSS coding and should be confidently utilized server-side languages (Java-script, Node.js, Python, Ruby, and PHP)
• In the ability to take existing models and best practices and adapt them to our environment
• Must know agile Tools and cloud technology with frontend/backend integration
• Must know multiple systems, servers, environments, data sources, data analytics, and database management

ROLES AND RESPONSIBILITIES

• Work with development teams and product managers to ideate software and application-based solutions
• Participate in both the back-end and front-end of systems by developing a full-fledged platform from scratch to end
• Write clean, functional code and algorithms on backend and frontend 
• Troubleshoot, test, debug and upgrade software
• Manage and maintain end-to-end life cycle for the production of software and application

BENEFITS

Remote Work | Flexibility | Flat Structure | Entrepreneurial Culture

The high degree of value on Autonomy, Flexibility, Empathy, and Mobility

An awesome work culture that has an agile team with a growth mindset

• Build efficient, effective, reusable and testable PHP modules.
• Responsible to write clean and well-structured code.
• Solve complex performance problems and architectural challenges.
• Prepare and maintain all applications utilizing standard development tools.
• Convey effectively with all task progress, evaluations, suggestions, schedules along with technical and process issues.
• Maintain as well as edit current websites and write semantic markup.