Location: Hyderabad
Shift Timings: 11AM to 8PM
Experience: 2 - 4 years
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.
- Equivalent hands on experience in business intelligence, data visualization, Qlik development, or analytics reporting will also be considered.
- Hands-on experience designing, developing, and maintaining dashboards in QlikView / Qlik Sense.
- Strong understanding of Qlik scripting, Data Load Editor, data transformation logic, incremental loads, and reusable QVD layer design.
- Experience building efficient Qlik data models, including fact/dimension design, star schema concepts, synthetic key resolution, circular reference handling, and data model optimization.
- Strong dashboard design skills, including KPI reporting, sheet layout, visual storytelling, usability, and performance-aware visualization design.
- Good SQL skills, including joins, aggregations, subqueries, CTEs, data validation, reconciliation, and query troubleshooting.
- Experience implementing or supporting Qlik security concepts such as Section Access, row-level security, app-level access controls, and governed dashboard access.
- Working knowledge of Qlik Sense Enterprise administration concepts, including apps, streams/spaces, reload tasks, data connections, monitoring, and troubleshooting.
- Ability to troubleshoot dashboard issues related to data refreshes, reload failures, script errors, performance bottlenecks, and user access concerns.
- Strong analytical thinking, problem-solving ability, attention to detail, and ownership mindset.
- Good communication skills with the ability to work directly with business stakeholders, product owners, analysts, and technical teams.
- Ability to manage multiple dashboard development, enhancement, and support priorities in a fast-paced environment.
- Experience with Qlik Cloud, including spaces, data connections, reload management, app publishing, access management, and cloud-based dashboard deployment.
- Exposure to QlikView and experience supporting migration, modernization, or redevelopment of QlikView applications into Qlik Sense.
- Knowledge of Qlik APIs, extensions, mashups, automation, or integration patterns.
- Exposure to Qlik Answers, including AI-assisted search, knowledge discovery, or conversational analytics use cases.
- Exposure to Qlik Predict or predictive analytics concepts within the Qlik ecosystem.
- Familiarity with cloud data platforms or services such as AWS S3, Redshift, Databricks, RDS, or other enterprise data warehouse/lakehouse environments.
- Understanding of data governance, data quality, metadata management, and trusted data practices for enterprise reporting.
- Understanding of Agile delivery practices, release management, version control, and CI/CD concepts for analytics solutions.
Key job responsibilities:
- Design, develop, test, deploy, and maintain interactive dashboards and analytical applications using QlikView / Qlik Sense.
- Gather and analyze business requirements and translate them into data models, KPIs, visualizations, measures, dimensions, and user-friendly reporting solutions.
- Build and maintain Qlik load scripts using the Data Load Editor, including data extraction, transformation, cleansing, incremental reload logic, and QVD layer management.
- Create efficient Qlik data models using best practices such as star schema design, appropriate granularity, reusable QVD layers, and elimination of synthetic keys and circular references.
- Enhance existing Qlik dashboards by improving usability, performance, visualization design, reload efficiency, and overall user experience.
- Implement and validate Section Access, row-level security, and application-level access controls in partnership with platform and security teams.
- Support Qlik environment operations, including monitoring reloads, troubleshooting failed tasks, managing data connections, validating data refreshes, and resolving production support issues.
- Write and optimize SQL queries for source analysis, joins, aggregations, data validation, reconciliation, and dashboard performance tuning.
- Collaborate with business users, product owners, data engineers, QA teams, and infrastructure teams to deliver reliable reporting solutions within agreed timelines.
- Contribute to Qlik modernization initiatives, including QlikView to Qlik Sense migration, Qlik Sense Enterprise enhancements, or adoption of Qlik Cloud capabilities where applicable.
- Prepare and maintain technical documentation, dashboard specifications, data lineage notes, support runbooks, and release documentation for Qlik applications.