
Hi
Job Title: Data Visualization Engineer
Experience: 2 to 4 years
Location: Gurgaon (Hybrid)
Employment Type: Full-time
Job Description:
We are seeking a skilled Data Visualization Engineer with expertise in Qlik Sense and experience working with reporting tools like PowerBI, Tableau, Looker, and Qlik Sense. The ideal candidate will have a strong understanding of QVF and QVD structures, basic HTTP API integrations, and end-to-end data pipelines. Some knowledge of Python for data processing and automation will be a plus. This role will primarily focus on Qlik Sense reporting.
Key Responsibilities:
1. Data Visualization & Reporting
- Design, develop, and maintain interactive dashboards and reports using Qlik Sense.
- Work with PowerBI, Tableau, Looker, and Qlik Sense to create compelling data visualizations.
- Ensure seamless data representation and storytelling through dashboards.
2. Qlik Sense Development & Optimization
- Develop and manage QVF and QVD structures for optimized data retrieval.
- Implement best practices in Qlik Sense scripting, data modeling, and performance tuning.
- Maintain and optimize existing Qlik Sense applications.
3. Data Integration & API Interactions
- Utilize basic HTTP APIs to integrate external data sources into dashboards.
- Work with data teams to ensure smooth data ingestion and transformation for visualization.
4. End-to-End Data Pipeline Understanding
- Collaborate with data engineers to understand and optimize data flows from source to visualization.
- Ensure data consistency, integrity, and performance in reporting solutions.
5. Scripting & Automation
- Utilize Python for data manipulation, automation, and minor custom integrations.
- Improve reporting workflows through automation scripts and process optimizations.
Technical Expertise Required:
- 2 to 4 years of experience in Data Visualization or BI Reporting roles.
- Strong experience with Qlik Sense (QVF & QVD structures, scripting, visualization).
- Hands-on experience with PowerBI, Tableau, Looker.
- Basic understanding of HTTP APIs for data integration.
- Understanding of end-to-end data pipelines.
- Knowledge of Python for automation and data transformation.
- Experience in performance optimization of dashboards and reports.
- Strong analytical and problem-solving skills.
Preferred Qualifications:
- Experience in data modeling and ETL concepts.
- Familiarity with cloud-based data visualization solutions.
- Understanding of data governance and security best practices.

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small retailers, domestic help, gig workers, employees of micro-enterprises and daily-wage
earners are not eligible for pension or other social protection benefits. Without an urgent
and effective response to pension exclusion, they face the grim prospect of extreme
poverty for over 20 years once they are too old to work.
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and a simple and intuitive UI/UX to make access to regulated pension, savings and
insurance products easy and simple for non-salaried informal sector workers. We're
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financial inclusion stakeholders in Asia and Africa. The pinBox model is already operating
in Rwanda, Kenya and India. We will expand to Bangladesh, Uganda, Chile, Indonesia and
Nigeria by 2023.
Governments and pension regulators use the our pensionTech to jumpstart digital micropension and insurance inclusion among informal sector workers. Pension funds and
insurers use our pensionTech to build a mass market for their products beyond their
traditional agent-led customer base. Banks, MNOs, MFIs, fintechs, agritechs, gigplatforms and staffing companies can easily embed our plug-and-play pensionTech onto
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solution to their clients, members and employees without any new investments in IT or
capacity enhancement.
We’ve recently completed our first equity fundraise to enhance our engineering, business
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passionate about digital finance and is eager to build from scratch. The business head for
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individual who will develop and own short and long-term strategies and goals for this
model.
This is a senior business partnerships development role that requires proactive interactions
with the senior management of a range digital stakeholders including staffing platform
companies, gig-platforms, fintechs, agritechs, payment solution providers and other digital
“aggregators”.
The business head for the embedded partnerships model will be expected to optimize
voluntary micro-pension coverage expansion in India by embedding the pinBox platform
onto the web / mobile apps of a large number of digital aggregators.
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persistency is optimized through effective and sustainable collaborations with a large
number of credible and committed tech partners, and working closely with the pinBox
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The Business Head for Embedded Solutions will be expected to
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implementation and governance strategy for partnerships with multiple entities,
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commercial negotiations, product choice, implementation process, and time-bound
coverage and persistency targets,
5. Work closely with the pinBox product, delivery, analytics, communications, customer
protection and IT teams to continually improve efficacy and retail traction based on
partner and client needs and implementation experience,
6. Establish a system for periodic review meetings with partners to regularly monitor
outcomes including enrollments, subscriber knowledge, savings persistency and
adequacy; Work with the pinBox IT and MIS teams to provide partners with real-time
data insights and dashboards to help monitor efforts and optimize outcomes,
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10. Periodically monitor the efforts of the pinBox delivery team responsible for partner
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