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Recruiting Manager at Tiger Analytics
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Tiger Analytics - Senior Business Analyst (2-4 yrs)
Tiger Analytics offers a professional environment for Analytics Consultants, Data Scientists, and Data Engineers to come together, collaborate and solve high value business problems for many Fortune 500 clients across various domains like Financial Services, Insurance, Retail / CPG, Manufacturing, Transportation & Logistics.
If your interest & experience are in:
- Translating business problems into unambiguous analytic problem statements
- Design a plan in collaboration with DS/ML/AI experts to solve those
- Own & drive execution of plan by removing internal / external bottlenecks
- Showcase how analytic results improve clients- business & financial metrics
- we would love to talk to you.
The position offers a unique opportunity to be part of a vibrant, challenging, and entrepreneurial environment, with a high degree of individual responsibility. Significant opportunities for professional development exist, as we continue to grow. Compensation packages among the best in the industry.
Required Experience, Skills & Competencies:
- 2-4 years of relevant experience
- Demonstrated ability to leverage analytics to solve structured or unstructured problems and interpreting results
- Very good appreciation for how analytics is used in one or more functional areas such as Customer / CRM, Marketing, Operations & Planning, Risk, and one or more industry verticals like Retail, CPG, Financial Services, Insurance etc.
- Ability to consult clients by discovering insightful & relevant patterns from data
- Hands-on data handling proficiency: Knowledge of querying data using SQL on traditional RDBMS databases, and/or big data environments such as Hadoop/Hive/Spark
- Hands-on ability to analyse and visualize data one or more tools such as Tableau, PowerBI, Qlikview
- Hands on experience (basic to intermediate) in DS/ML/AI programming tools such as R/Python/SAS
- Basic appreciation of different types of Statistical / Machine Learning / AI techniques, when and why they are used and to interpret results from a business viewpoint (the expectation is not a data scientist expert level proficiency, but a clear conceptual understanding)
- Excellent skills in presenting and communicating with business audience to help them appreciate insights & value from analytics
- Ensure high quality client experience by owning up stakeholder expectation setting, driving project / program governance, and focus on linking analytics to client business value delivered
This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.
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