Sr BI Analyst / Lead BI Analyst

Description:

-> Work on full-stack development projects, handling both front-end and back-end development tasks.

-> Gain practical experience in designing, developing and deploying scalable web and application solutions.

-> Collaborate with teams to build efficient, secure, and user-friendly applications using modern technologies.

-> Work with a wide range of technologies and domains, including:

  Java Application Programming

  Web Development

  Python Application Programming with Django

  Machine Learning

  Data Science

  Artificial Intelligence

  Cyber Security

  Data Analytics

-> Develop problem-solving, analytical, and technical skills by working on projects.

Duration: 1 - 6 months

Mode: Online/Offline

Eligibility: Any BE/BTech pursuing Students can apply.

Perks:

-> Internship Certificate

-> Letter of Recommendation.

Product Manager (Data & Operations)

Experience: 2+ years

Must-Have: Candidate must have prior experience in a product-based company

Role Summary

We are looking for a highly analytical Product Manager to drive business growth through data analysis, operational efficiency, and structured experimentation.

This role will focus on identifying growth opportunities, reducing operational inefficiencies, improving unit economics, and building strong reporting systems across the ecommerce and AI-led product ecosystem.

You will work closely with Engineering, Marketing, Catalog, Operations, Finance, and Data teams to ensure decisions are backed by data and execution is operationally strong.

Key ResponsibilitiesData Analysis & Business Insights

• Own end-to-end funnel analysis (Impressions → CTR → ATC → Checkout → Purchase → Repeat)
• Identify drop-offs, leakages, and revenue gaps using SQL, GA, Clevertap
• Perform cohort analysis (new vs repeat, prepaid vs COD, personalized vs non-personalized users)
• Track and improve core metrics:
• Conversion Rate
• GMV & Revenue
• AOV
• Repeat Rate
• Cancellation & RTO %
• Margin contribution
• Build and maintain weekly/monthly dashboards for leadership visibility
• Translate raw data into clear, actionable insights

Operational Excellence

• Identify operational bottlenecks impacting conversion and fulfillment
• Analyze cancellation drivers & reduce COD RTO risk
• Improve payment success rates and checkout efficiency
• Work with logistics teams to optimize delivery timelines
• Collaborate with catalog & brand teams to improve SKU performance
• Monitor inventory health, sell-through rate, and stock rotation
• Drive pricing and margin optimization initiatives

Experimentation & Performance Improvement

• Run structured A/B tests to improve funnel performance
• Define clear hypotheses, success metrics, and impact measurement
• Analyze experiment results and recommend rollouts
• Build scalable processes for experimentation cadence

Cross-Functional Execution

• Convert insights into PRDs and operational roadmaps
• Partner with engineering for sprint-based delivery
• Align marketing, catalog, and operations on metric ownership
• Ensure every feature launch has measurable business KPIs

Must-Have Skills

• Strong analytical mindset and comfort with large datasets
• Advanced Excel / Google Sheets
• Strong SQL proficiency (mandatory)
• Experience with GA, Clevertap, Mixpanel or similar tools
• Experience working on ecommerce funnels
• Understanding of unit economics (GMV, margins, CAC, LTV)
• Strong problem-solving and structured thinking

Bonus Skills

• Experience in ecommerce marketplace or D2C
• Experience working with logistics, payments, or inventory systems
• Exposure to AI-led recommendation systems
• Experience building business dashboards

What Success Looks Like (First 6 Months)

• Clear dashboard visibility across all core business metrics
• 10–15% improvement in funnel conversion
• Reduction in cancellation & RTO rates
• Improved operational turnaround time
• Data-backed roadmap prioritization

Role Overview:

This position will own company's digital and social media ecosystem in India. This role sits at the intersection of creative storytelling, cultural relevance, and performance-driven digital marketing, ensuring the brand remains distinctive and engaging across platforms while supporting key business objectives like customer acquisition, store launches, and frequency.

This role will be responsible for driving company's digital storytelling, social media presence, and influencer collaborations while working closely with creative and media agencies to build engaging campaigns that drive both brand love and restaurant traffic.

Key Performance Areas and Tasks:

Social Media & Content Strategy:

• Develop and lead the social media strategy for company's India across platforms including Instagram, YouTube, LinkedIn and X.

• Build engaging content calendars that reflect company's distinctive tone of voice, humour and cultural relevance.

• Ensure social media supports both brand engagement and business outcomes such as store traffic and campaign awareness.

Content Creation & Production:

• Own the planning and execution of photo and video shoots for digital campaigns and social media.

• Collaborate with creative agencies and production partners to produce high-quality visual content.

• Ensure a strong pipeline of always-on content showcasing the brand, food and culture.

Influencer & Creator Partnerships:

• Develop and execute the brand’s influencer and creator collaboration strategy.

• Identify and build long-term relationships with creators across food, lifestyle and culture.

• Drive collaborations that feel authentic to the company's brand and community.

Digital Media Planning & Performance:

• Work with the media agency to plan and manage digital advertising campaigns across social and digital platforms.

• Oversee digital media budgets, campaign execution and optimization.

• Track and report campaign performance against key metrics such as reach, engagement and traffic.

Campaign Development:

• Partner with the Head of Marketing to support development of campaign key visuals and creative assets.

• Translate campaign ideas into digital-first storytelling and content.

Agency Management:

• Lead day-to-day coordination with social, creative and media agencies.

• Ensure agency deliverables meet timelines, brand standards and campaign objectives.

• Act as the internal owner of digital strategy while agencies function as execution partners.

Store & Launch Support:

• Collaborate with the store marketing team to amplify new restaurant launches and local activations through digital and influencer campaigns.

Analytics & Insights:

• Monitor social and campaign performance to derive insights and optimize future content and campaigns.

• Provide regular reporting on metrics including follower growth, engagement, campaign reach and store traffic impact.

What Success Looks Like:

• Company's builds a distinctive and culturally relevant digital presence in India.

• Social media consistently drives engagement, brand buzz and customer interest.

• Influencer collaborations feel authentic and impactful.

• Digital campaigns effectively support store launches, product launches and brand campaigns.

• The digital ecosystem contributes to new customer trials and brand awareness.

Experience:

• 4-6 years of experience in digital marketing, social media or content-led brand roles.

• Experience with consumer brands, QSR, food, lifestyle or hospitality brands preferred.

• Strong understanding of social media culture, trends and creator ecosystems.

• Experience managing digital media campaigns and agency partnerships.

• Ability to balance creative thinking with performance-driven marketing.

• Comfortable leading content production including photo and video shoots.

• Strong project management and collaboration skills.

Strong UX Researcher Profile

Mandatory (Experience 1) - Must have 3+ YOE hands-on UX Research / User Research for B2C Products

Mandatory (Experience 2) - Should have hands-on experience in User Research, Persona's, User Stories, Work-Flows, and Usability Testing

Mandatory (Experience 3) - Must have worked on both qualitative and quantitative research methodologies

Mandatory (Portfolio) - Portfolio showcasing UX Research works for Good B2C Apps / Website / Product Companies

Mandatory (CTC) - The CTC breakup offered will be 80% fixed, and 20% variable, as per Company policy.

Preferred

Preferred (Company) - Product Company

Position Overview: We are seeking a talented Data Engineer with expertise in Power BI to join our team. The ideal candidate will be responsible for designing and implementing data pipelines, as well as developing insightful visualizations and reports using Power BI. Additionally, the candidate should have strong skills in Python, data analytics, PySpark, and Databricks. This role requires a blend of technical expertise, analytical thinking, and effective communication skills.

Key Responsibilities:

1. Design, develop, and maintain data pipelines and architectures using PySpark and Databricks.
2. Implement ETL processes to extract, transform, and load data from various sources into data warehouses or data lakes.
3. Collaborate with data analysts and business stakeholders to understand data requirements and translate them into actionable insights.
4. Develop interactive dashboards, reports, and visualizations using Power BI to communicate key metrics and trends.
5. Optimize and tune data pipelines for performance, scalability, and reliability.
6. Monitor and troubleshoot data infrastructure to ensure data quality, integrity, and availability.
7. Implement security measures and best practices to protect sensitive data.
8. Stay updated with emerging technologies and best practices in data engineering and data visualization.
9. Document processes, workflows, and configurations to maintain a comprehensive knowledge base.

Requirements:

1. Bachelor’s degree in Computer Science, Engineering, or related field. (Master’s degree preferred)
2. Proven experience as a Data Engineer with expertise in Power BI, Python, PySpark, and Databricks.
3. Strong proficiency in Power BI, including data modeling, DAX calculations, and creating interactive reports and dashboards.
4. Solid understanding of data analytics concepts and techniques.
5. Experience working with Big Data technologies such as Hadoop, Spark, or Kafka.
6. Proficiency in programming languages such as Python and SQL.
7. Hands-on experience with cloud platforms like AWS, Azure, or Google Cloud.
8. Excellent analytical and problem-solving skills with attention to detail.
9. Strong communication and collaboration skills to work effectively with cross-functional teams.
10. Ability to work independently and manage multiple tasks simultaneously in a fast-paced environment.

Preferred Qualifications:

• Advanced degree in Computer Science, Engineering, or related field.
• Certifications in Power BI or related technologies.
• Experience with data visualization tools other than Power BI (e.g., Tableau, QlikView).
• Knowledge of machine learning concepts and frameworks.

• Be the analytical expert in Kaleidofin, managing ambiguous problems by using data to execute sophisticated quantitative modeling and deliver actionable insights.
• Develop comprehensive skills including project management, business judgment, analytical problem solving and technical depth.
• Become an expert on data and trends, both internal and external to Kaleidofin.
• Communicate key state of the business metrics and develop dashboards to enable teams to understand business metrics independently.
• Collaborate with stakeholders across teams to drive data analysis for key business questions, communicate insights and drive the planning process with company executives.
• Automate scheduling and distribution of reports and support auditing and value realization.
• Partner with enterprise architects to define and ensure proposed.
• Business Intelligence solutions adhere to an enterprise reference architecture.
• Design robust data-centric solutions and architecture that incorporates technology and strong BI solutions to scale up and eliminate repetitive tasks.

• Experience leading development efforts through all phases of SDLC.
• 2+ years "hands-on" experience designing Analytics and Business Intelligence solutions.
• Experience with Quicksight, PowerBI, Tableau and Qlik is a plus.
• Hands on experience in SQL, data management, and scripting (preferably Python).
• Strong data visualisation design skills, data modeling and inference skills.
• Hands-on and experience in managing small teams.
• Financial services experience preferred, but not mandatory.
• Strong knowledge of architectural principles, tools, frameworks, and best practices.
• Excellent communication and presentation skills to communicate and collaborate with all levels of the organisation.
• Preferred candidates with less than 30 days notice period.

Sr Product Manager / Lead Product Manager – Data Platform

Description:

At Amagi we are looking for a product leader to build world class big data and analytics platform to help our teams in making data driven decisions and to accelerate our business outcomes.

We are looking for someone who is innovative and experienced in end-to-end product management to drive our long-term data and analytics strategy.

The ideal candidate would be responsible for owning product roadmap and KPIs, driving product operational tasks to ensure configurable and scalable solutions.

Primary Responsibilities:

• Lead the product requirements to build real time, highly scalable, low latency data platform.
• Author PRD and define the strategic roadmap.
• Lead the Product design, MVPs and POCs and fast track deliveries
• Collaborate with various functions and design the most effective solutions.
• Understand customer needs and define the data solutions and insights to drive business outcomes
• Define key product performance metrices to drive business and customer outcomes

Basic Qualification

• 12+ years of overall SDLC experience with 7+ years of product management experience in fast paced company.
• Proven experience delivering large scale highly available big data processing systems.
• Knowledge of data pipeline design, data transformation and integration methodologies.
• Technically savvy with experience in big data systems like AWS, RedShift, Athena, Kafka and related technologies
• Demonstrate collaborative approach and ability to work with distributed, cross functional teams.
• Experience in taking products through full life cycle, from proposal to launch
• Strategic thinking capabilities to define the product roadmap and right prioritization of the backlog in line with the long-term vision
• Strong communication and stakeholder management skills with the ability to coordinate across a diverse group of technical and non-technical stakeholders.
• Ability to deal with ambiguity and use data to solve ambiguous problems
• Technical ability to understand and discuss software architecture, product integration, non-functional requirements etc. with the Engineering team.

Preferred Qualification:

• Technically savvy with good understanding of cloud application development.
• Software development experience building Enterprise platforms
• Experience in third-party vendor assessments
• Experience working with AI , ML , Bigdata and analytics tools
• Understanding of regulations such as data privacy, data security and governance