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Benchmark Solutions India jobs in Gurugram, Haryana
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- SaartheeGurugram, Haryana
- Translate business challenges into data-driven solutions.
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- McKinsey & CompanyGurugram, Haryana
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- Maruti Suzuki India LtdGurugram, Haryana
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- BarclaysGurugram, Haryana
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- NVIDIAGurugram, Haryana
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- Shubhashray Housing IndiaGurugram, Haryana
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Job details
Pay information not provided
Health insurance, Life insurance
Gurugram, Haryana
Full job description
About Saarthee:
Saarthee is a Global Strategy, Analytics, Technology and AI consulting company, where our passion for helping others fuels our approach and our products and solutions. Our diverse and global team work with one objective in mind: Our Customers’ Success. At Saarthee, we are passionate about guiding organizations towards insights fueled success. That’s why we call ourselves Saarthee–inspired by the Sanskrit word ‘Saarthi’, which means charioteer, trusted guide, or companion. Cofounded in 2015 by Mrinal Prasad and Shikha Miglani, Saarthee already encompasses all the components of Data Analytics consulting. Saarthee is based out of Philadelphia, USA with office in UK and India.
About the Role
We are looking for analytical thinkers who are passionate about transforming raw data into powerful insights. If you love solving complex business problems, crafting compelling data stories, and being part of a team that breathes data—this role is for you.
The incumbent will be responsible for deploying analytics algorithms and tools on chosen tech stack for efficient and effective delivery. Responsibilities include delivering insights and targeted action plans, address specific areas of risk and opportunity, work cross-functionally with business and technology teams, and leverage the support of global teams for analysis and data.
Roles & Responsibilities
Analytics (Data & Insights)
- Collect, clean, and integrate large datasets from diverse sources
- Translate business challenges into data-driven solutions
- Create the requirement artefacts e.g., Functional specification document, use cases, requirement traceability matrix, business test cases and process mapping documents, user stories for analytics projects
- Build highly impactful and intuitive dashboards that bring the underlying data to life through insights
- Generate ad-hoc analysis for leadership to deliver relevant, action-oriented, and innovative recommendations
Operational Excellence
- Improve data quality by using and improving tools to automatically detect issues
- Study industry/organization benchmarks and design/develop analytical solutions to monitor or improve business performance across retail, marketing, and other business areas
Stakeholder Management
- Work with high-performing Functional Consultants, Data Engineers, and cross-functional teams to lead / support the complete lifecycle of visual analytical applications, from development of mock-ups and storyboards to complete production ready application
- Provide regular updates to stakeholders to simplify and clarify complex concepts, and communicate the output of work to business
- Create compelling documentation or artefacts that connects business to the solutions
What We’re Looking For
- Bachelor’s degree in Mathematics, Economics, Computer Science, Statistics, or a related field
- Working understanding of Statistical modelling using Analytical tools (Python, PySpark, R, etc.)
- Enterprise reporting systems, relational (MySQL, Microsoft SQL Server, etc.), and non-relational (MongoDB, DynamoDB) database management systems
- Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)
- Cloud computing services in Azure/AWS/GCP for analytics
- Relevant working experience in a quantitative/applied analytics role
What we Offer
- Competitive compensation tied to performance and potential
- Fast-track growth opportunities in a high-impact environment
- Mentorship by industry leaders and access to a knowledge-rich, collaborative ecosystem
- Comprehensive benefits including Health Insurance and Term Life Coverage
- Global exposure and opportunity to work across industries and geographies.
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