Specialist Data Analytics Alteryx

Full-time
Bengaluru, KA, in 路 Gurugram, HR, in 路 Hyderabad, TS, invia Workable ATSPosted Oct 26, 2026
Match with my CV

Technical skills

PythonAPI developmentData engineeringData analysisBusiness intelligenceData scienceTechnical writing

About this role

饾棫饾椀饾椂饾榾 饾椏饾椉饾椆饾棽 饾椂饾榾 饾棾饾椉饾椏 饾椉饾椈饾棽 饾椉饾棾 饾榿饾椀饾棽 饾棯饾棽饾棽饾椄饾棻饾棶饾槅'饾榾 饾棸饾椆饾椂饾棽饾椈饾榿饾榾

饾棪饾棶饾椆饾棶饾椏饾槅 饾椏饾棶饾椈饾棿饾棽: 饾棩饾榾 饾煷饾煬饾煬饾煬饾煬饾煬 - 饾棩饾榾 饾煭饾煵饾煬饾煬饾煬饾煬饾煬 (饾椂饾棽 饾棞饾棥饾棩 饾煷-饾煭饾煵 饾棢饾棧饾棓)

Experience: 5+ yrs

Location: Hyderabad, Telangana, India, Bengaluru, Karnataka, India, Gurgaon, Haryana, India

As a Specialist Data Analytics Alteryx, you will design, develop, and optimize end鈥憈o鈥慹nd analytical workflows to transform raw data into actionable insights, driving business decisions across multiple domains. Leveraging your deep expertise in Alteryx, you will build reusable data pipelines, perform advanced statistical modeling, and integrate external data via APIs and web services to create comprehensive data ecosystems.

You will collaborate closely with data science, engineering, and business stakeholders to define problem statements, select appropriate modeling techniques, and present findings through interactive dashboards and automated reports. Your role will also involve staying abreast of emerging technologies such as Generative AI, and evaluating how these can be embedded into existing workflows to enhance predictive capabilities and streamline data processing.

Requirements

  • 饾棡饾棽饾槅 饾棩饾棽饾榾饾椊饾椉饾椈饾榾饾椂饾棷饾椂饾椆饾椂饾榿饾椂饾棽饾榾
  • Design, develop, and maintain scalable Alteryx workflows for data extraction, transformation, and loading (ETL).
  • Build and validate statistical and machine learning models in Python and integrate them within Alteryx environments.
  • Create and manage API connections to ingest data from internal and external sources, ensuring data integrity and security.
  • Implement Gen AI techniques to generate synthetic data and augment training datasets, improving model robustness.
  • Automate repetitive data tasks and reporting processes using Alteryx Scheduler and custom scripts.
  • Collaborate with data engineers to establish data quality standards, perform profiling, and create documentation.
  • Conduct performance tuning of data models and workflows to optimize run times and resource utilization.
  • Design visual analytics dashboards using Alteryx, Tableau or Power BI for stakeholder consumption.
  • Mentor junior analysts and provide technical guidance on best practices in data modeling and analytics.
  • Stay updated on industry trends and emerging tools, proposing continuous improvement initiatives for analytics capabilities.
  • 饾棯饾椀饾棶饾榿 饾棤饾棶饾椄饾棽饾榾 饾棳饾椉饾槀 饾棶 饾棜饾椏饾棽饾棶饾榿 饾棛饾椂饾榿
  • 5+ years of hands鈥憃n experience in data analytics, with a strong focus on Alteryx platform.
  • Proficiency in Python, including libraries such as pandas, scikit鈥憀earn, and PySpark for advanced modeling.
  • Demonstrated expertise in designing robust data models and building end鈥憈o鈥慹nd data pipelines.
  • Experience integrating APIs (REST, SOAP) and handling various data formats (JSON, XML, CSV).
  • Familiarity with Generative AI concepts and practical application in data augmentation or predictive modeling.
  • Strong problem鈥憇olving skills with a track record of delivering data solutions that drive business value.
  • Excellent communication abilities, able to translate complex technical findings into clear, actionable insights for non鈥憈echnical stakeholders.
  • Proven ability to work collaboratively in cross鈥慺unctional teams across multiple geographies (Hyderabad, Bengaluru, Gurgaon).
  • Strong documentation practices, ensuring reproducibility and maintainability of analytical solutions.
  • Passion for continuous learning and staying current with evolving analytics technologies and industry best practices.

Before you apply

  • 1Which parts of your CV prove experience with Python, API development, and Data engineering?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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