Qliksense Developer

About the Role

We are looking for a highly motivated Data Analyst with hands-on experience in Business Intelligence tools (Qlik Sense, Qlik NPrinting, Power BI) and strong exposure to Advanced Machine

Learning & AI using Python. The role requires a balance of data understanding, analytics, dashboarding, and predictive modeling to deliver actionable insights for business decision-making.

Key Responsibilities

- Understand business requirements and translate them into data models, dashboards, and

predictive insights.

- Perform data analysis, profiling, and validation to ensure accuracy and consistency of data.

- Develop and maintain interactive dashboards and reports using Qlik Sense, Qlik NPrinting, and Power BI.

- Automate reporting processes and ensure scalability of BI solutions.

- Design and implement machine learning models and AI solutions using Python for forecasting,

classification, clustering, and recommendation use cases.

- Optimize data pipelines and integrate multiple data sources for seamless analytics.

- Collaborate with cross-functional teams (Business, IT, Data Engineering) to deliver end-to-end

analytics solutions.

- Stay updated with emerging trends in BI, AI/ML, and data visualization.

Required Skills

- Data Understanding & Analysis: Strong analytical thinking, ability to work with

structured/unstructured data.

- BI Tools: Hands-on experience in Qlik Sense, Qlik NPrinting, and Power BI.

- Python (ML/AI): Proficiency in libraries such as Pandas, NumPy, Scikit-learn,

TensorFlow/PyTorch, Matplotlib/Seaborn.

- Data Modeling & Visualization: Strong knowledge of data storytelling and dashboard design

principles.- SQL: Good understanding of querying and optimizing relational databases.

- Problem-Solving: Ability to analyze business problems and propose data-driven solutions.

Preferred Skills

- Exposure to cloud platforms (AWS, Azure, GCP) for data & ML workloads.

- Experience with version control (Git) and collaborative development.

- Knowledge of ETL processes and data pipelines.

- Familiarity with NLP, Deep Learning, or Generative AI techniques will be a plus.

Qualification

- Bachelors degree in Computer Science, Data Science, Information Technology, or a related field.

- 2+ years of relevant experience in Data Analytics, BI, and ML/AI