QlikView DAS Technical Lead: Driving Business Impact Through Data Analytics
As enterprises seek to gain a competitive edge through data-driven insights, the demand for skilled QlikView technical leaders is on the rise. Mindtree, a leading global IT services company, is actively hiring for a QlikView DAS Technical Lead in their Bangalore and Chennai offices. If you have 6+ years of experience working with QlikView, including developing reports and dashboards, optimizing performance, and managing projects, this could be the perfect opportunity to take your career to the next level.
In this article, we‘ll explore what it takes to excel as a QlikView DAS Technical Lead at Mindtree, including the key responsibilities, technical skills, and leadership qualities required for success. As an AI and Machine Learning expert, I‘ll also share my insights on the future of data analytics and how QlikView Technical Leads can stay ahead of the curve in this dynamic field.
The Demand for QlikView Expertise in IT Services
According to a report by MarketsandMarkets, the global data visualization market size is expected to grow from $8.85 billion in 2021 to $19.2 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 10.2% during the forecast period[^1^]. As a leader in the Gartner Magic Quadrant for Analytics and Business Intelligence Platforms for over a decade, QlikView is well-positioned to capture a significant share of this market growth[^2^].
| Year | Global Data Visualization Market Size |
|---|---|
| 2021 | $8.85 billion |
| 2027 | $19.2 billion (projected) |
Source: MarketsandMarkets, 2022
For IT services companies like Mindtree, QlikView expertise is a key differentiator in delivering high-impact data analytics solutions to their enterprise clients. Mindtree has invested heavily in building a robust QlikView practice, with a team of over 200 QlikView professionals delivering over 100 projects globally[^3^].
As a QlikView DAS Technical Lead at Mindtree, you‘ll have the opportunity to work on cutting-edge data analytics projects across industries, from healthcare and financial services to retail and manufacturing. Mindtree‘s clients include leading Fortune 500 companies looking to harness the power of their data to drive business outcomes.
Key Responsibilities of a QlikView DAS Technical Lead
As a QlikView DAS Technical Lead at Mindtree, you‘ll play a pivotal role in the end-to-end delivery of QlikView projects. Your primary responsibilities will include:
- Leading the technical design and implementation of QlikView solutions, ensuring adherence to best practices and coding standards
- Collaborating with business stakeholders, data architects, and project managers to translate requirements into QlikView deliverables
- Developing and optimizing QlikView data models, ETL processes, and dashboard designs to meet performance and usability requirements
- Mentoring and overseeing a team of QlikView developers, providing technical guidance and code reviews
- Troubleshooting and debugging QlikView issues, using advanced techniques like set analysis and performance analyzer
- Contributing to presales efforts, including solution architecting, proof of concepts, and RFP responses
- Staying current on QlikView product updates and industry trends, and sharing knowledge with the team
Here‘s an example of what a typical project workflow might look like for a QlikView DAS Technical Lead:
graph LR
A[Requirements Gathering] --> B[Solution Design]
B --> C[Data Modeling]
C --> D[ETL Development]
D --> E[Dashboard Development]
E --> F[Testing & QA]
F --> G[Deployment]
G --> H[Training & Handover]Throughout the project lifecycle, the QlikView Technical Lead acts as the technical authority and point of escalation for the QlikView development team. You‘ll be responsible for ensuring that the solution is delivered on-time, within budget, and to the highest quality standards.
Essential Technical Skills for a QlikView DAS Technical Lead
To succeed as a QlikView DAS Technical Lead at Mindtree, you‘ll need to have a deep understanding of QlikView architecture, data modeling, and scripting. Here are some of the essential technical skills and experience required:
- 6+ years of hands-on experience developing QlikView applications, including data modeling, scripting, and dashboard design
- Strong knowledge of QlikView best practices and optimization techniques, such as incremental loads, set analysis, and data compression
- Experience with data integration and ETL processes, including connecting to various data sources (e.g. SQL Server, Oracle, flat files) and transforming data using QlikView scripts
- Proficiency in writing complex QlikView expressions and functions, including data manipulation, string handling, and date/time calculations
- Understanding of data visualization principles and best practices for designing intuitive and interactive QlikView dashboards
- Familiarity with version control tools (e.g. Git) and collaborative development workflows
- Knowledge of web technologies like HTML, CSS, and JavaScript for embedding QlikView objects and customizing the user interface
- Experience with QlikView Server administration, security, and performance tuning
In addition to these core QlikView skills, experience with complementary technologies like Qlik Sense, Qlik NPrinting, and Qlik GeoAnalytics can be a valuable asset for a QlikView Technical Lead. As Sunil Sankal, Chief Business Officer at Mindtree, notes:
"As enterprises increasingly adopt a multi-tool strategy for their analytics needs, we look for QlikView leaders who can bridge the gaps and leverage the strengths of different platforms. A QlikView Technical Lead who can also guide the integration with Qlik Sense and other modern BI tools will be well-positioned to drive innovation for our clients."
The Future of QlikView and Machine Learning
Looking ahead, the integration of machine learning and AI capabilities into QlikView will be a key trend shaping the future of the platform. Qlik has already introduced several AI-powered features, such as Insight Advisor for natural language querying and Cognitive Engine for autonomous data modeling[^4^].
As a QlikView Technical Lead, staying ahead of the curve with these emerging technologies will be crucial to delivering cutting-edge analytics solutions. Some key areas to watch include:
- Augmented Analytics: Leveraging machine learning to automate data preparation, insight discovery, and natural language interactions with QlikView apps
- Predictive Analytics: Integrating QlikView with predictive modeling tools and languages (e.g. R, Python) to enable advanced forecasting and simulation capabilities
- Conversational Analytics: Enabling natural language querying and generation of insights from QlikView dashboards through AI-powered chatbots and voice assistants
- AutoML: Automating the building and deployment of machine learning models directly within QlikView, empowering business users to leverage predictive insights
As Elif Tutuk, VP of Innovation and Design at Qlik, emphasizes:
"The future of analytics is machine intelligence powering human intuition. The most successful QlikView leaders will be those who can strike the right balance between leveraging AI automation and preserving the power of human exploration and decision-making."
By staying current with the latest AI and machine learning trends and building the skills to implement them in QlikView, Technical Leads can future-proof their careers and deliver unmatched value to their organizations.
Charting Your Path to QlikView Leadership
Becoming a successful QlikView DAS Technical Lead requires a combination of deep technical expertise, strong leadership skills, and a commitment to continuous learning. To excel in this role and position yourself for long-term career growth, consider the following strategies:
- Pursue Qlik certifications, such as Qlik Sense Business Analyst and Data Architect, to validate your skills and stand out to employers
- Join QlikView user groups and participate in community forums to stay connected with peers and share knowledge
- Develop a portfolio of successful QlikView projects that demonstrate your ability to deliver business impact and overcome technical challenges
- Seek out mentorship and guidance from experienced QlikView leaders in your network
- Continuously expand your skills in adjacent areas like data science, machine learning, and cloud technologies to stay ahead of the curve
- Practice your communication and stakeholder management skills to effectively lead projects and influence decision-makers
A career as a QlikView DAS Technical Lead offers the opportunity to work at the forefront of data analytics and drive tangible business outcomes. By combining your passion for data with your technical expertise and leadership capabilities, you can position yourself for a rewarding and impactful career in the field.
If you‘re ready to take the next step in your QlikView journey, explore open Technical Lead opportunities at Mindtree and other leading IT services companies. With the right skills, experience, and mindset, you can chart your own path to success in this exciting and rapidly-evolving field.
[^1^]: MarketsandMarkets. (2022). Data Visualization Market by Component, Solutions, Services, Deployment Mode, Organization Size, Vertical and Region – Global Forecast to 2027. Retrieved from https://www.marketsandmarkets.com/Market-Reports/data-visualization-market-91440613.html [^2^]: Gartner Magic Quadrant for Analytics and Business Intelligence Platforms. (2022). Retrieved from https://www.qlik.com/us/gartner-magic-quadrant-business-intelligence [^3^]: Mindtree QlikView Practice. (2023). Retrieved from https://www.mindtree.com/services/data-analytics-insights/qlikview-practice [^4^]: Qlik Cognitive Engine. (2022). Retrieved from https://www.qlik.com/us/products/qlik-cognitive-engine
