Business Analyst - Data Analytics - Ahmedabad , India at Qatar Airways - Iraq

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Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Business Analysis, Data Analytics, SQL, Excel, Tableau, Power BI, Data Warehousing, ETL, Documentation, Analytical Skills, Problem-Solving, Data Visualization, Communication, Collaboration, Agile Methodologies, Data Quality

Industry

Airlines and Aviation

Description

About the Role: We are seeking a detail-oriented Business Analyst with a strong background in data analytics to join our team. In this role, you will liaise with Data Product Owners to understand their requirements and translate these into actionable data engineering tasks following agile development process. You will play a crucial role in bridging the gap between business needs and technical solutions, ensuring that data-driven insights are effectively utilized across the organization. Key Responsibilities: Collaborate with Business Data Product Owners to gather and understand business requirements to build new and enhanced data products. Translate business requirements into detailed data engineering specifications. Conduct data validation and quality checks to ensure accuracy and reliability. Create detailed user stories, process flows and other associated documents such as Data Mapping Documents, Data dictionary, etc. required for data analytics projects, such that technical teams can design and carry out development without ambiguity. Work closely with Data Engineers, Data Scientists, and other technical teams throughout the agile development lifecycle to ensure accurate understanding and implementation of requirements. Participate in sprint planning, backlog grooming and sprint review meetings and contribute to continuous improvements to the efficiency and quality of the processes Help prioritize and manage the product backlog Facilitate requirements gathering workshops, interviews, and brainstorming sessions with stakeholders at various levels. Conduct data analysis and profiling to support requirements definition and identify potential data quality issues. Contribute to the testing strategy, including defining test cases and supporting user acceptance testing (UAT) for data products. Maintain clear and concise documentation of data product requirements, designs, and specifications. Stay updated with the latest trends and best practices in data analytics, business intelligence, and agile methodologies. Be part of an extraordinary story: Your skills. Your imagination. Your ambition. Here, there are no boundaries to your potential and the impact you can make. You’ll find infinite opportunities to grow and work on the biggest, most rewarding challenges that will build your skills and experience. You have the chance to be a part of our future, and build the life you want while being part of an international community. Our best is here and still to come. To us, impossible is only a challenge. Join us as we dare to achieve what’s never been done before. Together, everything is possible. Required Skills: Proven experience as a Business Analyst in an IT environment, with a focus on data analytics. Strong proficiency in data analysis tools and software (e.g., SQL, Excel, Tableau, Power BI). Solid understanding of data warehousing, data lakes, ETL/ELT processes, and business intelligence concepts. Demonstrated ability to translate complex business needs into technical requirements for data engineers Proficiency in creating clear and concise documentation, including user stories, process flows, and data mappings. Excellent analytical and problem-solving skills. Ability to interpret and communicate complex data findings to non-technical stakeholders. Experience with data visualization and reporting. Experience with SQL for data querying and analysis Strong attention to detail and accuracy. Excellent communication and collaboration skills. Preferred Skills: Experience with statistical analysis and predictive modeling. Familiarity with programming languages such as Python. Knowledge of data warehousing and ETL processes. Understanding of business intelligence and data governance principles. Experience with cloud platforms (Google Cloud, AWS, Azure). Experience with data modeling tools and techniques. Familiarity with cloud data platforms (e.g., AWS, Azure, GCP) and their data services. Understanding of data governance principles and data quality frameworks. Knowledge of airline domain Certifications in Agile like PSPO, PSM, CSPO, CSM, or similar, is considered a plus Certifications in Business Analysis such as PMI-PBA, CBAP, IIBA-AAC, IIBA-CBDA, or others About you: The applicant should have a bachelor’s degree or equivalent (Degree in engineering, computer applications, commerce, or business administration). You must have minimum 5 years of relevant experience. Should have excellent verbal and written communications skills. Also possess good analytical, interpersonal skills and a proven team player. About Qatar Airways Group: Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before. So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community. How to apply: If you’re ready to join a progressive team and have a challenging and rewarding career, then apply now by uploading your CV and completing our quick application form.

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Responsibilities

The Business Analyst will collaborate with Data Product Owners to gather business requirements and translate them into actionable data engineering tasks. They will also conduct data validation, create documentation, and work closely with technical teams throughout the agile development lifecycle.