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Experience
5 - 7 Years
Job Location
Education
Bachelor of Science(Computers)
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Responsibilities:
- Data Exploration & Analysis
- Explore and analyze in-house datasets (transactional, sourcing, connectivity, competitive intelligence) to generate meaningful insights
- Conduct deep-dive and ad-hoc analyses to identify trends, patterns, and opportunities that drive revenue and margin improvement
- Design and evaluate test scenarios to validate hypotheses and maximize the value of internal systems.
Insight Generation & Communication
- Translate data findings into clear, concise, and actionable insights and business recommendations
- Present analysis to stakeholders in a compelling narrative, using visualizations and storytelling to support strategic decisions
- Deliver Insights to a wider audience and reiterate to generate impactful results & achieve regular success.
Data Product Support & Continuous Improvement
- Contribute to the development and evolution of Commercial Data Products by providing insights,ntesting hypotheses, and validating assumptions
- Help shape KPIs, reporting metrics, and dashboards aligned with business goals
- Proactively suggest opportunities for optimization and process improvement using data insights
- Stay up to date with industry trends and analytics tools to enhance analytical capabilities
Stakeholder Engagement
- Collaborate closely with cross-functional teams (Sourcing, Revenue Management, Product, Sales & Marketing) to understand their data needs and deliver impactful analytical solutions
- Act as a mutual data partner, and advisor to cross-functional teams and multiple stakeholders
Advanced Analytics & Data Solutions
- Design scalable, automated analytics solutions using tools such as SQL, Python, and cloud- based data platforms to support operational analytics
- Ensure adherence to enterprise data governance and quality standards, working closely with Data Engineering and Governance teams
Collaboration & Data Governance
- Bridge Operations and Data Intelligence to ensure aligned data standards and methodologies
- Drive data literacy and analytical best practices across teams
Desired Candidate Profile
Profile Requirements:
- Bachelor s or Master s degree in STEM, Business Analytics, or related field
- 5+ years of experience as a Data Analyst, preferably in e-commerce, online travel, or digital-first businesses
- Proficiency in SQL, Python or R, and advanced Excel
- Strong experience in Commercial, Digital Products or Data Analytics practices
- Hands-on experience with BI tools such as Tableau, Power BI, Looker, or similar for dashboard development and storytelling
- Excellent stakeholder management and communication skills; English fluency
- Experience building and deploying machine learning models e.g. Pricing & Margin Optimization, Forecasting, Recommendations, Mapping etc
- Familiarity with big data warehouses (Google BigQuery, AWS Redshift, Snowflake)
Department / Functional Area
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