Business Intelligence Analyst
Full Time
full time
31 Dec 1969
Chennai
Verified by Turrior
Content + Source + Freshness • 24 Feb 2026 • 95% confidence
68 / 100
Offer value
Moderate value score stemming from the unique combination of programming and analytics, but the ambiguity in job specifics and required work hours may limit its appeal.
- Diverse programming focus in analytics
- Requires experience in multiple technologies
- Ambiguity in job characteristics and hours
Pros
- Diverse programming and data analytics focus
- Exposure to multiple programming frameworks and methodologies
- Opportunity to work in a global company
Cons
- Lack of clarity on job specifics and remuneration
- Ambiguous working hours and potential shifts
- High expectations for versatility in technology use
Who it's for
Mid-level • Remote/Onsite
Good fit
- Mid-level programmers with analytics skills
- Candidates excited about developing automated solutions
- Individuals open to varied project challenges
Not recommended for
- Entry-level candidates without technology experience
- Those preferring stability in job definitions
- Professionals seeking structured work hours
Motivation fit
Interest in building automated solutions for businessesWillingness to engage in continuous learning and technology adaptationDesire to contribute to varied projects
Key skills
Programming and automation developmentDatabase management and visualizationCloud computing proficiency
Score: 68/100 AI verified analysis
About the job
Proficient in multiple programming languages, Automation frameworks and Tools with experience in implementation with a minimum of 5+ years of working experience. Ability to understand a business process and conceptualize it as an automated solution Must be flexible with working hours - may require working in UK or US Shifts depending on the project & business requirement. Programming languages: Python, Java, C# Or JavaScript, Visual basics Automation framework: Selenium Scripting language: VBA , PowerShell, Bash Database management: SQL Cloud Computing platforms: AWS, Azure Data analysis and Visualization tools: Tableau, Power BI, Excel Design and implementation of low-latency, high-availability, and performant applications Implementation of security and data protection
