Data Analytics & Business Intelligence - Senior Manager
State Street is hiring a Data Analytics & Business Intelligence - Senior Manager in Hyderabad, India. Level rates it ; you can apply on Level.
AI in this role
Senior manager role leading enterprise analytics and driving AI-powered business intelligence solutions across reporting platforms.
Position Summary:
We are seeking a highly motivated and technically strong Data Analytics & Business Intelligence with 10-14 years of experience in enterprise analytics, reporting, and business intelligence solutions. The ideal candidate will possess deep expertise in database technologies, data analytics, data visualization, and reporting platforms such as Qlik Sense, Qlik NPrinting, Tableau, and Power BI. The candidate should demonstrate exceptional communication skills, strong leadership capabilities, and a passion for driving innovation through Artificial Intelligence (AI) and data-driven solutions.
Key Responsibilities:
Data Analytics & Business Intelligence
- Design, develop, and maintain enterprise-scale dashboards, reports, and analytics solutions.
- Translate business requirements into scalable and efficient BI solutions.
- Deliver actionable insights through data visualization and advanced analytics techniques.
- Partner with business users to identify opportunities for process optimization and performance improvement.
Qlik & Reporting Technologies
- Develop and maintain applications using Qlik Sense and Qlik NPrinting.
- Design and support enterprise reporting frameworks and automated report distribution.
- Optimize dashboard performance, usability, and scalability.
- Implement governance, security, and best practices for BI platforms.
Data Engineering & Database Management
- Demonstrate strong expertise in SQL and relational databases.
- Design data models, ETL processes, and data integration solutions.
- Ensure data quality, accuracy, performance, and reliability across reporting environments.
- Work with large-scale datasets across multiple data sources and platforms.
Analytics Architecture
- Define and implement BI architecture standards and best practices.
- Provide technical leadership on Qlik, Tableau, and Power BI platforms.
- Support cloud, hybrid, and on-premises analytics environments.
- Evaluate emerging technologies and recommend strategic improvements.
AI & Innovation
- Identify opportunities to leverage AI, machine learning, and automation within analytics solutions.
- Lead proof-of-concepts and implementation of AI-powered reporting and decision-support capabilities.
- Drive innovation through data-driven initiatives and emerging technologies.
- Promote adoption of AI-enabled analytics across business functions.
Leadership & Collaboration
- Lead technical discussions and mentor team members.
- Collaborate effectively with business, technology, and executive stakeholders.
- Drive project execution with strong ownership and accountability.
- Foster a culture of innovation, collaboration, and continuous improvement.
Required Qualifications:
Education:
- Bachelor's or Master's degree in Computer Science, Information Technology.
Experience:
- 10-14 years of experience in Business Intelligence, Data Analytics, Reporting, or Data Engineering.
- Proven experience delivering enterprise-level analytics solutions.
Technical Skills:
Mandatory:
- Advanced SQL and Database Management
- Data Modeling and Data Warehousing
- Qlik Sense Development & Administration
- Qlik NPrinting
- Tableau
- Microsoft Power BI
- ETL/Data Integration
- Data Visualization & Storytelling
- Analytics Solution Design
- Performance Optimization & Troubleshooting
Preferred:
- Python/R for Analytics
- Machine Learning & Predictive Analytics
- AI/GenAI technologies
- Cloud Analytics Platforms (Azure/AWS)
- API Integration
- Data Governance & Security
Behavioral Competencies:
Communication:
- Exceptional verbal and written communication skills.
- Ability to present complex technical concepts to senior leadership and non-technical stakeholders.
Leadership:
- Strong leadership presence with the ability to influence without authority.
- Experience mentoring teams and driving cross-functional initiatives.
Teamwork:
- Excellent collaboration and stakeholder management skills.
- Strong customer-focused and solution-oriented mindset.
Innovation:
- Demonstrated ability to generate innovative ideas and successfully implement them.
- Passion for leveraging AI and emerging technologies to solve business challenges.
Are you the right candidate? Yes!
We truly believe in the power that comes from the diverse backgrounds and experiences our employees bring with them. Although each vacancy details what we are looking for, we don’t necessarily need you to fulfil all of them when applying. If you like change and innovation, seek to see the bigger picture, make data driven decisions and are a good team player, you could be a great fit.
Why this role is important to us:
Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We’re driving the company’s digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.
We offer a collaborative environment where technology skills and innovation are valued in a global organization. We’re looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.
Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
Discover more information on jobs at StateStreet.com/careers
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How we rate this
Data Analytics & Business Intelligence - Senior Manager at State Street rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where business intelligence was part of your work. What did you do?
- Tell me about a project where data analytics was part of your work. What did you do?
- Tell me about a project where data engineering was part of your work. What did you do?
- Tell me about a project where ai integration was part of your work. What did you do?
- Tell me about a project where leadership was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Business Intelligence, Data Analytics, Data Engineering, AI Integration, and Leadership. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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