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Required Skills: Program Management, Collaboration and Coordination, Analytical and Problem-Solving skills, Excellent cross-functional leadership experience, Strategic Planning & Execution, Leadership & Stakeholder Management
Criteria:
● Experience in Program Management / Strategic Planning / Demand Planning.
● Must be from Tier-1 academic background (IIT, NIT, NSU preferred).
● Need candidate from Ecommerce and Startup only.
● Strong demand-planning and business acumen with the ability to identify growth and whitespace opportunities.
● Candidate should have proven ability to build programs from 0–1 (Scratch - End) and drive initiative execution.
● Excellent stakeholder management & presentation skills, with strong proficiency in MS Excel.
● Experience in forecasting & planning tools, and the ability to thrive in fast-paced, ambiguous environments.
● Candidate must have Leadership ability to execute cross-functional projects, turning strategy into clear, measurable results.
● Candidate having Founder's Office Experience will be an added advantage.
● Candidate having OTA Channel's (Online Travel Agency) working experience will be considered a strong plus.
Description
About the Role
As a Program Manager, you will drive strategic, cross-functional initiatives that improve how we plan, operate, and scale. You’ll lead high-impact programs that bring structure, clarity, and momentum to complex business problems, with a strong focus on data-driven, scalable execution.
You will collaborate closely with teams across Growth, Marketing, Operations, and Tech to align priorities, streamline processes, and ensure our systems evolve with the pace of the business.
Key Responsibilities
- Own and drive high-impact strategic programs from ideation to execution, ensuring each initiative contributes to business growth.
- Break down complex, ambiguous problems into structured, actionable plans and lead execution across teams.
- Collaborate with Product, Marketing, Sales, and Operations to align goals, remove bottlenecks, and deliver scalable outcomes.
- Lead cross-functional project planning, development, and execution, translating strategy into measurable results.
- Partner with Analytics and Business Intelligence teams to ensure data-backed decision-making.
- Identify new business improvement opportunities and co-create strategies with leadership.
- Track key performance metrics, identify trends, and drive course-correction using real data.
- Bring clarity to chaos by defining processes, streamlining operations, and ensuring team alignment.
- Create structured documentation, frameworks, and playbooks to make initiatives repeatable and scalable.
What We Are Looking For
- Graduation from a Tier 1 college (IITs, IIMs, NITs, ISB, or equivalent).
- 3–5 years of experience in Program Management, Strategic Planning, Business Operations, or Demand Planning, preferably in high-growth environments.
- Strong business acumen and understanding of how demand planning impacts growth, revenue, and customer experience.
- A structured problem-solver who can simplify complex challenges into scalable solutions.
- Exceptional stakeholder management and cross-functional collaboration skills.
- Solid understanding of forecasting processes, planning tools, and operational levers.
- Ability to thrive in fast-paced, ambiguous startup environments.
What We Offer
- Opportunity to shape how we scale and operate at the next level.
- A chance to be at the forefront of driving change in a fast-growing startup.
- A collaborative, dynamic work environment.
- Competitive compensation and benefits.
Strong Lead – User Research & Analyst profile (behavioural/user/product/ux analytics)
Mandatory (Experience 1): Must have 10+ years of experience in Behavioral Data Analytics, User Research, or Product Insights, driving data-informed decision-making for B2C digital products (web and app).
Mandatory (Experience 2): Must have 6 months+ experience in analyzing user journeys, clickstream, and behavioral data using tools such as Google Analytics, Mixpanel, CleverTap, Firebase, or Amplitude.
Mandatory (Experience 3): Experience in leading cross-functional user research and analytics initiatives in collaboration with Product, Design, Engineering, and Business teams to translate behavioral insights into actionable strategies.
Mandatory (Skills 1): Strong expertise in A/B testing and experimentation, including hypothesis design, execution, statistical validation, and impact interpretation.
Mandatory (Skills 2): Ability to identify behavioral patterns, funnel drop-offs, engagement trends, and user journey anomalies using large datasets and mixed-method analysis.
Mandatory (Skills 3): Hands-on proficiency in SQL, Excel, and data visualization/storytelling tools such as Tableau, Power BI, or Looker for executive reporting and dashboard creation.
Mandatory (Skills 4): Deep understanding of UX principles, customer journey mapping, and product experience design, with experience integrating qualitative and quantitative insights.
Mandatory (Company): B2C product organizations (fintech, e-commerce, edtech, or consumer platforms) with large-scale user datasets and analytics maturity.
Mandatory (Note): Don’t want data analysts; looking for strategic behavioral insight leaders or research-driven analytics professionals focused on user behavior and product decision-making.
We are seeking a motivated Data Analyst to support business operations by analyzing data, preparing reports, and delivering meaningful insights. The ideal candidate should be comfortable working with data, identifying patterns, and presenting findings in a clear and actionable way.
Key Responsibilities:
- Collect, clean, and organize data from internal and external sources
- Analyze large datasets to identify trends, patterns, and opportunities
- Prepare regular and ad-hoc reports for business stakeholders
- Create dashboards and visualizations using tools like Power BI or Tableau
- Work closely with cross-functional teams to understand data requirements
- Ensure data accuracy, consistency, and quality across reports
- Document data processes and analysis methods
understand and interpret data within the context of the product / business -
solve problems and distill data into actionable recommendations.
Strong communication skills with the ability to confidently work with cross-
functional teams across the globe and to present information to all levels of the
organization.
Intellectual and analytical curiosity - initiative to dig into the why, what & how.
Strong number crunching and quantitative skills.
Advanced knowledge of MS Excel and PowerPoint.
Good hands-on SQL
Experience within Google Analytics, Optimize, Tag Manager and other Google Suite tools
Understanding of Business analytics tools & statistical programming languages - R, SAS, SPSS, Tableau is a plus
Inherent interest in e-commerce & marketplace technology platforms and broadly in the consumer Internet & mobile space.
Previous experience of 1+ years working in a product company in a product analytics role
Strong understanding of building and interpreting product funnels.

Senior Data Scientist
- 6+ years Experienced in building data pipelines and deployment pipelines for machine learning models
- 4+ years’ experience with ML/AI toolkits such as Tensorflow, Keras, AWS Sagemaker, MXNet, H20, etc.
- 4+ years’ experience developing ML/AI models in Python/R
- Must have leadership abilities to lead a project and team.
- Must have leadership skills to lead and deliver projects, be proactive, take ownership, interface with business, represent the team and spread the knowledge.
- Strong knowledge of statistical data analysis and machine learning techniques (e.g., Bayesian, regression, classification, clustering, time series, deep learning).
- Should be able to help deploy various models and tune them for better performance.
- Working knowledge in operationalizing models in production using model repositories, API s and data pipelines.
- Experience with machine learning and computational statistics packages.
- Experience with Data Bricks, Data Lake.
- Experience with Dremio, Tableau, Power Bi.
- Experience working with spark ML, spark DL with Pyspark would be a big plus!
- Working knowledge of relational database systems like SQL Server, Oracle.
- Knowledge of deploying models in platforms like PCF, AWS, Kubernetes.
- Good knowledge in Continuous integration suites like Jenkins.
- Good knowledge in web servers (Apache, NGINX).
- Good knowledge in Git, Github, Bitbucket.
- Working knowledge in operationalizing models in production using model repositories, APIs and data pipelines.
- Java, R, and Python programming experience.
- Should be very familiar with (MS SQL, Teradata, Oracle, DB2).
- Big Data – Hadoop.
- Expert knowledge using BI tools e.g.Tableau
- Experience with machine learning and computational statistics packages.
We are looking for a Business Intelligence (BI)/Data Analyst to create and manage Power Bl and analytics solutions that turn data into knowledge. In this role, you should have a background in data and business analysis. If you are self-directed, passionate about data,
and have business acumen and problem-solving aptitude, we'd like to meet you. Ultimately, you will enhance our business intelligence system to help us make better decisions.
Requirements and Qualifications
- BSc/BA in Computer Science, Engineering, or relevant field.
- Financial experience and Marketing background is a plus
- Strong Power BI development skills including Migration of existing deliverables to PowerBl.
- Ability to work autonomously
- Data modelling, Calculations, Conversions, Scheduling Data refreshes in Power-BI.
- Proven experience as a Power BI Developer is a must.
- Industry experience is preferred. Familiarity with other BI tools (Tableau, QlikView).
- Analytical mind with a problem-solving aptitude.
Responsibilities
- Design, develop and maintain business intelligence solutions
- Craft and execute queries upon request for data
- Present information through reports and visualization based on requirements gathered from stakeholders
- Interact with the team to gain an understanding of the business environment, technical context, and organizational strategic direction
- Design, build and deploy new, and extend existing dashboards and reports that synthesize distributed data sources
- Ensure data accuracy, performance, usability, and functionality requirements of BI platform
- Manage data through MS Excel, Google sheets, and SQL applications, as required and support other analytics platforms
- Develop and execute database queries and conduct analyses
- Develop and update technical documentation requirements
- Communicate insights to both technical and non-technical audiences.
- Proficient with SQL Server/T-SQL programming in creation and optimization of complex Stored Procedures, UDF, CTE and Triggers
- Overall Experience should be between 4 to 7 years
- Experience working in a data warehouse environment and a strong understanding of dimensional data modeling concepts. Experience in SQL server, DW principles and SSIS.
- Should have strong experience in building data transformations with SSIS including importing data from files, and moving data from source to destination.
- Creating new SSIS packages or modifying existing SSIS packages using SQL server
- Debug and fine-tune SSIS processes to ensure accurate and efficient movement of data. Experience with ETL testing & data validation.
- 1+ years of experience with Azure services like Azure Data Factory, Data flow, Azure blob Storage, etc.
- 1+ years of experience with developing Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime.
- Must be able to build Business Intelligence solutions in a collaborative, agile development environment.
- Reporting experience with Power BI or SSRS is a plus.
- Experience working on an Agile/Scrum team preferred.
- Proven strong problem-solving skills, troubleshooting, and root cause analysis.
- Excellent written and verbal communication skills.
Roles and Responsibilities:
- Review training content and assessments. The review parameters include (but are not limited to) the following:
○ Rewrite the training content wherever necessary to simplify it or to make it more age
appropriate.
○ Create engaging learning activities and provide exercises and activities that enhance
the learning process.
○ Devise modes of assessment, such as tests or quizzes, to measure the effectiveness
of course.
○ Analyze and apply trends and best practices in learning technologies and instructional
design.
○ Suggest instructional enhancements to the content and assessments so the learning
experience is superior.
○ Check if all the training assets follow the instructional guidelines.
○ Work with subject matter experts to identify target audience’s training needs
○ Do a thorough language review.
○ Do a thorough formatting check and fixes.
- Brainstorm with the content developer to storyboard the concepts introduced in a lesson/chapter.
- Create guidelines and templates as and when needed.
- Conduct audits of the live classes to check how the content is getting translated into the actual class experience.
- Give inputs for process improvements.
Skill Set:
- General:
- In-depth understanding of activity based teaching-learning methods with a strong knowledge of pedagogies to teach 21st Century Skills.
- At least 3-4 years of experience in instructional design and/or content writing.
- Experience in editing documents with an eye for details.
- Demonstrated ability to meet deadlines, handle and prioritize simultaneous requests, and manage laterally and upwards.
- Creative and analytical thinker with strong problem-solving skills.
- Excellent verbal and written communication skills.
○ Must demonstrate the ability to communicate effectively at all levels of the
organization.
- Technical:
- Understanding of Object-Oriented concepts.
- Basic understanding of core programming concepts with teaching skills will be an asset.
- Good exposure on-
- Object-Oriented Programming language(s) (preferably JavaScript/Python)
- Web Technology (HTML/CSS/JavaScript)- Front End Development
- Block-Based Coding environment like Code.org or Scratch will be a plus
- Knowledge of RDBMS (MySQL, Airtable, Firebase etc.) will be an added advantage
- 4-8 years of experience in BI/DW
- 3+ years of experience with Microstrategy schema, design and development
- Experience in Microstrategy Cloud for Azure and connecting with Azure Synapse as Data Source
- Extensive experience in developing reports, dashboards and cubes in Microstrategy
- Advanced SQL coding skills
- Hands on development in BI reporting and performance tuning
- Should be able to prepare unit test cases and execute unit testing








