Sr. Business Analyst at Weekday AI

Mumbai, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

24 Dec, 25

Salary

4000000.0

Posted On

25 Sep, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Stakeholder Management, Business Data Analysis, Documentation, Data Mapping, Project Management, Agile Practices, JIRA, Confluence, Big Data Concepts, Data Pipelines, Data Analysis, Data Architecture, AWS, API Integrations, Analytical Mindset, Communication Skills

Industry

technology;Information and Internet

Description

This role is for one of the Weekday's clients Salary range: Rs 2000000 - Rs 4000000 (ie INR 20-40 LPA) Min Experience; 3 years Location: Mumbai, Thane JobType: full-time We are seeking highly skilled Business Analysts and Senior Business Analysts to join the Central Data Platforms team. In this role, you will bridge the gap between business needs and data-driven solutions, working closely with stakeholders to translate requirements into actionable insights and scalable solutions. The ideal candidate is adaptable, analytical, and comfortable wearing multiple hats—acting as a Business Analyst, Data Analyst, and Project/Program Manager when needed. This opportunity offers exposure to cross-functional teams including Business, Product, Marketing, Analytics, and Operations, while contributing to critical enterprise-wide data programs that directly impact products and services delivered to customers. Key Responsibilities Stakeholder Management: Partner with business teams and product managers to gather, document, and prioritize requirements, ensuring alignment between business and technical stakeholders. Business Data Analysis: Analyze large datasets to identify data sources, design data models, and create source-to-target mappings. Documentation: Develop clear and concise BRDs, FRDs, and functional specifications. Data & Workflow Mapping: Create data flow diagrams (L0, L1), workflow diagrams (As-Is and To-Be), and other process documentation. Project/Program Management: Oversee project timelines, deliverables, and coordinate across teams for smooth execution; lead end-to-end delivery when required. Agile Practices: Actively contribute to Agile ceremonies (stand-ups, sprint planning, releases) and apply Agile principles for project management. JIRA & Confluence: Manage requirements, tasks, and sprint progress in JIRA; maintain documentation in Confluence. Technical Responsibilities Big Data Concepts: Strong understanding of large-scale data processing, distributed storage, and analytics platforms. Data Pipelines: Document and optimize pipelines for efficient and scalable data processing. Data Analysis: Collaborate with Data Analysts to interpret datasets and generate actionable business insights. Data-First Architecture (Nice-to-Have): Understanding of data-first architecture and data-intensive application design. AWS & API Integrations (Nice-to-Have): Familiarity with AWS data services and API-based system integrations. Qualifications Education: B.E./B.Tech (MBA from a Tier-1 institute preferred). Experience Business Analyst: 3–6 years in business/data analysis or related domains. Senior Business Analyst: 6+ years with demonstrated success in managing complex projects and leading business analysis. Skills & Competencies Strong stakeholder management and project management skills. Hands-on experience with Agile methodologies and JIRA. Proficiency in data flow/workflow diagrams and documentation (BRD, FRD, FSD). Knowledge of data platforms, data-first architecture, and cloud-based data solutions (AWS preferred). Analytical mindset with the ability to translate data into business decisions. Excellent verbal and written communication skills, with the ability to explain technical concepts to non-technical stakeholders. Versatility to seamlessly transition between BA, DA, and Program Management responsibilities. Core Skills Python • Agile Methodologies • JIRA • Data Lakes • Data Warehouses • Requirement Gathering • BRD • FRD • FSD

Responsibilities

The role involves bridging the gap between business needs and data-driven solutions, working closely with stakeholders to translate requirements into actionable insights. Responsibilities include stakeholder management, business data analysis, documentation, and project management.