Sr BI Analyst / Lead BI Analyst at USEReady · Bengaluru (Bangalore) · 4 - 11 years · ₹8L - ₹12L / yr · Posted 21 Feb 2017

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Hiring: Senior BI Architech
Experience: 5+ Years
Work Mode :- Remote
Notice Period :- Immediate Joiners
( Or Candidate Serving Notice period )
About the Role
We are looking for a seasoned Senior Business Intelligence Architect who can bridge the gap between deep technical engineering and functional business insight delivery. This role demands an architect who doesn't just build dashboards — but designs enterprise-grade BI ecosystems that drive executive decision-making at scale.
4 Mandatory Skills
These are non-negotiable. Candidates without proficiency in all three will not be considered.
- Tableau — Advanced dashboard design, REST API integration, JavaScript SDK embedding, extract optimization, and CI/CD deployment via Git.
- SQL — Expert-level query tuning, complex joins, incremental refresh strategies, and performance optimization for large-scale data models.
- Power BI - with the ability to architect migration paths or co-existence strategies for self-serve and executive reporting.
- ThoughtSpot — with the ability to architect migration paths or co-existence strategies for self-serve and executive reporting.
Key Responsibilities
- Lead end-to-end design and publishing of sophisticated Tableau and Cognos solutions with a focus on interactivity and executive-grade narrative storytelling.
- Own the full optimization lifecycle — advanced query tuning, incremental extract strategies, and dashboard load-time reduction.
- Architect seamless "Analytics as a Service" integrations by embedding BI content into external applications via Tableau REST APIs and JavaScript SDKs.
- Provide expert guidance on Power BI and ThoughtSpot migration strategies and co-existence models for enterprise reporting.
- Elevate data storytelling through UX principles, accessibility standards, and custom visualizations using D3.js for high-impact mapping and charting.
- Implement CI/CD pipelines for BI releases using Git, ensuring rigorous version control and deployment governance for all dashboard assets.
- Define and track performance analytics and usage metrics to measure dashboard ROI and drive organization-wide adoption.
Required Skills & Qualifications
- 5–10 years of hands-on experience in BI development and architecture.
- Deep expertise in Tableau, Power BI, ThoughtSpot, and SQL.
- Proficiency in Tableau REST API and JavaScript SDK for embedded analytics.
- Strong understanding of DataOps frameworks and scalable data pipeline design.
- Experience with Git-based CI/CD workflows for BI asset management.
- Familiarity with D3.js or other custom visualization libraries.
- Excellent communication skills to translate complex data into compelling business narratives for executive stakeholders.
We are looking for a skilled and detail-oriented Data Analyst – Data Scientist (DA-DS) to join our team. This hybrid role involves analyzing large datasets to extract insights, build predictive models, and support data-driven decision-making. You’ll work closely with cross-functional teams to transform raw data into actionable insights using statistical techniques, data visualization, and machine learning tools.
Strong Behavioral Data Analyst Profiles
Mandatory (Experience 1): Minimum 4+ years of experience in user analytics or behavioural data analysis, focusing on user app and web journeys
Mandatory (Experience 2): Experience in analyzing clickstream and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, or Firebase
Mandatory (Skills 1): Hands-on experience in A/B testing, including hypothesis design, experimentation, and result interpretation.
Mandatory (Skills 2): Strong analytical ability to identify behavioral patterns, anomalies, funnel drop-offs, and engagement trends from large datasets.
Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization tools such as Tableau or Power BI for dashboard creation and data storytelling.
Mandatory (Skills 4): Basic understanding of UX principles and customer journey mapping, collaborating effectively with UX/CX teams
Mandatory (Company): B2C product Companies (fintech, or e-commerce organizations with large user behavior dataset is a plus)
Mandatory (Note): Don't want data analysis but business/product/user analysts
Preferred
Preferred (Skills): Ability to create insightful dashboards and reports highlighting user engagement metrics, sentiment trends, and improvement opportunities
- Experience in Developing QlikView / Qlik Sense BI visualizations and dashboards. QlikSense and NPrintiing experience is a must.
- Strong knowledge of building Qlik Sense dashboards applying business rules and data validations.
- In-depth understanding of Qlik Sense Server Architecture, building QVDs and QVFs, applying business rules and data validations.
- Familiarity with charts and graphs, creating complex visualizations for dynamic aggregation Good Knowledge of Incremental data loading concepts and data modeling.
- Additionally, Qlik developers have to troubleshoot issues and provide the necessary solution
Desired Competencies:
Ø Expertise in Azure Data Factory V2
Ø Expertise in other Azure components like Data lake Store, SQL Database, Databricks
Ø Must have working knowledge of spark programming
Ø Good exposure to Data Projects dealing with Data Design and Source to Target documentation including defining transformation rules
Ø Strong knowledge of CICD Process
Ø Experience in building power BI reports
Ø Understanding of different components like Pipelines, activities, datasets & linked services
Ø Exposure to dynamic configuration of pipelines using data sets and linked Services
Ø Experience in designing, developing and deploying pipelines to higher environments
Ø Good knowledge on File formats for flexible usage, File location Objects (SFTP, FTP, local, HDFS, ADLS, BLOB, Amazon S3 etc.)
Ø Strong knowledge in SQL queries
Ø Must have worked in full life-cycle development from functional design to deployment
Ø Should have working knowledge of GIT, SVN
Ø Good experience in establishing connection with heterogeneous sources like Hadoop, Hive, Amazon, Azure, Salesforce, SAP, HANA, API’s, various Databases etc.
Ø Should have working knowledge of different resources available in Azure like Storage Account, Synapse, Azure SQL Server, Azure Data Bricks, Azure Purview
Ø Any experience related to metadata management, data modelling, and related tools (Erwin or ER Studio or others) would be preferred
Preferred Qualifications:
Ø Bachelor's degree in Computer Science or Technology
Ø Proven success in contributing to a team-oriented environment
Ø Proven ability to work creatively and analytically in a problem-solving environment
Ø Excellent communication (written and oral) and interpersonal skills
Qualifications
BE/BTECH
KEY RESPONSIBILITIES :
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You will join a team designing and building a data warehouse covering both relational and dimensional models, developing reports, data marts and other extracts and delivering these via SSIS, SSRS, SSAS, and PowerBI. It is seen as playing a vital role in delivering a single version of the truth on Client’s data and delivering MI & BI that will feature in enabling both operational and strategic decision making. You will be able to take responsibility for projects over the entire software lifecycle and work with minimum supervision. This would include technical analysis, design, development, and test support as well as managing the delivery to production. The initial project being resourced is around the development and implementation of a Data Warehouse and associated MI/BI functions. |
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Principal Activities: 1. Interpret written business requirements documents 2. Specify (High Level Design and Tech Spec), code and write automated unit tests for new aspects of MI/BI Service. 3. Write clear and concise supporting documentation for deliverable items. 4. Become a member of the skilled development team willing to contribute and share experiences and learn as appropriate. 5. Review and contribute to requirements documentation. 6. Provide third line support for internally developed software. 7. Create and maintain continuous deployment pipelines. 8. Help maintain Development Team standards and principles. 9. Contribute and share learning and experiences with the greater Development team. 10. Work within the company’s approved processes, including design and service transition. 11. Collaborate with other teams and departments across the firm. 12. Be willing to travel to other offices when required. |
Location – Bangalore
About the company:
Ketto is Asia's largest tech-enabled crowdfunding platform with a vision - Healthcare for all. We are a profit-making organization with a valuation of more than 100 Million USD. With over 1,100 crores raised from more than 60 lakh donors, we have positively impacted the lives of 2 lakh+ campaigners. Ketto has embarked on a high-growth journey, and we would like you to be part of our family, helping us to create a large-scale impact on a daily basis by taking our product to the next level
Role Overview:
Ketto, Asia's largest crowdfunding platform, is looking for an innovative Product Analyst to take charge of our data systems, reporting frameworks, and generative AI initiatives. This role is pivotal in ensuring data integrity and reliability, driving key insights that fuel strategic decisions, and implementing automation through AI. This position encompasses the full data and analytics lifecycle—from requirements gathering to design planning—alongside implementing advanced analytics and generative AI solutions to support Ketto’s mission.
Key Responsibilities
● Data Strategy & Automation:
○ Lead data collection, processing, and quality assurance processes to ensure accuracy, completeness, and relevance.
○ Explore opportunities to incorporate generative AI models to automate and optimize processes, enhancing efficiencies in analytics, reporting, and decision-making.
● Data Analysis & Insight Generation:
○ Conduct in-depth analyses of user behaviour, campaign performance, and platform metrics to uncover insights that support crowdfunding success.
○ Translate complex data into clear, actionable insights that drive strategic decisions, providing stakeholders with the necessary information to enhance business outcomes.
● Reporting & Quality Assurance:
○ Design and maintain a robust reporting framework to deliver timely insights, enhancing data reliability and ensuring stakeholders are well-informed.
○ Monitor and improve data accuracy, consistency, and integrity across all data processes, identifying and addressing areas for enhancement.
● Collaboration & Strategic Planning:
○ Work closely with Business, Product, and IT teams to align data initiatives with Ketto’s objectives and growth strategy.
○ Propose data-driven strategies that leverage AI and automation to tackle business challenges and scale impact across the platform.
○ Mentor junior data scientists and analysts, fostering a culture of data-driven decision-making.
Required Skills and Qualifications
● Technical Expertise:
○ Strong background in SQL, Statistics and Maths
● Analytical & Strategic Mindset:
○ Proven ability to derive meaningful, actionable insights from large data sets and translate findings into business strategies.
○ Experience with statistical analysis, advanced analytics
● Communication & Collaboration:
○ Exceptional written and verbal communication skills, capable of explaining complex data insights to non-technical stakeholders.
○ Strong interpersonal skills to work effectively with cross-functional teams, aligning data initiatives with organisational goals.
● Preferred Experience:
○ Proven experience in advanced analytics roles
○ Experience leading data lifecycle management, model deployment, and quality assurance initiatives.
Why Join Ketto?
At Ketto, we’re committed to driving social change through innovative data and AI solutions. As our Sr. Product Analyst, you’ll have the unique opportunity to leverage advanced data science and generative AI to shape the future of crowdfunding in Asia. If you’re passionate about using data and AI for social good, we’d love to hear from you!
Someone who has prior experience in Product Analytics/Marketing Analytics/Growth Analytics/Consumer analytics domain.
Has the ability to define success metrics for different initiatives or campaigns, drive ROI analysis & provide recommendations.
Strong analytics acumen and problem solving skills.
Good understanding of Clickstream/App events data, ability to build and understand user journeys across platforms.
Understanding of LTV modelling
Strong SQL skills and comfortable with python programming.
Basic knowledge of different regression models & clustering techniques.
Key Responsibilities:
- Creating and implementing efficient solutions to optimize the customer journey and experience
- Solid experience with customer journey mapping, process optimization, and process improvement
- Owning product implementation and contributing recommendations on product roadmap
- Defines the product vision, strategy, and roadmap.
- Monitor all projects and ensure achievement of all revenue objectives
- Achieve all business objectives and determine an effective strategy
- Coordinate internal resources and third parties/vendors for the flawless execution of projects
- Manage changes to the project scope, project schedule and project costs using appropriate verification techniques
- Measure project performance using appropriate tools and techniques
- Report and escalate to management as needed
- Track project performance, specifically to analyze the successful completion of short and long-term goals
- Campaign Management
Educational Requirements:
- 3+ years’ experience in the FinTech, product / project management
- Education: B Tech (Bachelor of Technology)
Skills:
- Strategy and Planning: Proficient in developing & implementing need-based plans
- Campaign Management
- Excellent organizational and data analysis skills; ability to derive actionable conclusions from
- large data sets and statistical studies
- Maximizing profitability, Client Engagement, Revenue
- Products/promotions / discounts/ Cashback offers for B2C
- Customer Life Cycle Management
- Understanding the product Life cycle and sympathy towards customer pain points
- Works closely with stakeholders to ensure business case and customer satisfaction goals are met
- Measure project performance using appropriate tools and techniques
- Excellent communication and writing skills
- Team player
TECHNICAL SKILLS
- Computer Languages: Data Structure, Algorithms, DBMS (Conceptual), SQL DBA
- Software Packages: CleverTap (Mobile App Analytics Tool), MS office - Excel, PPT, Visio
Platform - Clevertap, Netcore
The incumbent for the position isexpected to deliver but not limited to on following responsibilities:
Set up processes for data management, templatized analytical modules/deliverables.Continuously improve processes with focus on automation and partner with different teams to develop system capability
Understand business briefs clearly and execute new/ad-hoc projects and ensure timely delivery
Keep managers informed about progress on projects and proactively flag gaps on data availability, hiccups on analysis
Develop and enhance statistical model with best in class modelling techniques
Managing the project in Gannt Chart
Deliveron informative and well-organized deliverables
Proactively seek opportunities to help team members by sharing knowledge and expanding skills
Ability to communicate difficult/sensitive information tactfully











