Tredence | Hiring | Senior Business Analyst – Analytics | Bangalore/Bengaluru | BigDataKB.com | 2022-09-28

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Job Location: Bangalore/Bengaluru

The role will include playing an active role in facilitating data usability, data standardisation and user acceptance testing initiatives; development and deployment of standard and non-standard metrics; creating analytical solutions.
As a Senior Business Analyst, you will leverage your technical skills, business acumen, and creativity to extract and analyse massive data sets, build analytics-ready datasets to surface insights and key business metrics, contribute to metadata that improves data usability, and much more.
The ideal candidate is deeply analytical and detailed-oriented, but capable of thinking independently.

 
Roles Responsibilities
  • Possesses strong analytical/logical thinking and communication skills
  • Coordinate with business planners and decision makers to translate business questions into verifiable hypothesis and data models
  • Develop clear, concise, actionable models and recommendations from mountains of data
  • Advocate for exploration of interesting data anomalies or patterns that may provide more explanatory detail about customer behaviours or predictive value to the business
  • Partner closely with business and technical teams to understand their project objectives and provide data-driven solutions and recommendations
  • Ensures solutions are scalable, repeatable, efficient and effective
  • Work hands-on on various analytics problems and provide thought leadership on problems that we are working on
  • Interact with onsite team as well as client on daily/weekly basis to gather requirements/provide updates

Qualification Experience
  • Tech Skills: Databricks, Azure, Spark SQL, Azure ML, Azure Monitor (at least 2 years of hands-on experience – must have), Model Deployments – good to have

  • Data Science Skills: Deep EDA and processing Data for reporting,Regression, Classification, Time Series, NLP (at least 2 years of delivery experience – must have, Deep Learning models >1 year is good to have

  • MLOps Skills: Feature Store, mlflow, model registry, microservices architecture, Flask, Docker, Kubernetes – Combination of these skills not all (need at least 1 year experience in this)

  • Project Management: Client interaction and engagement, identifying future opportunities – must haves, working in product teams, working/leading cross functional teams (DS, DE, FS) – good to have

 

Apply Here

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