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Strong global brand, mid-level analytics role in Hyderabad with broad data skills attracts high competition.
Core analytics and data engineering skills are transferable, though large-enterprise sales/financial analytics experience is preferred.
Explicit 5–8 years and specific data warehousing, BI, and big-data tool requirements increase shortlisting strictness.
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Lead end-to-end data analytics and visualization projects, including requirement gathering, planning, implementation, and delivery of full-stack data solutions.
Design and implement semantic layers and data models to support self-service analytics and flexible querying for large enterprise use cases.
Develop automation frameworks and solutions for data anomaly detection, validation, and business analytics to improve productivity and data reliability.
Bachelor's degree or higher in Computer/Data Science, Engineering, Mathematics, Statistics, or related quantitative field.
5-8 years of relevant experience in business intelligence/data engineering.
Expertise in SQL, data warehousing concepts (star schemas, ETL/ELT), and big data technologies (Spark, Hadoop, Snowflake).
Experience with BI tools (Looker, Tableau, PowerBI), analytics platforms (Athena, Redshift, BigQuery), and proficiency in a programming language such as Python or Scala.
Experienced in managing large-scale enterprise data analytics projects with complex business logic and multiple stakeholders.
Strong technical skills in data engineering, automation, and analytics combined with good documentation and communication abilities.
Capabilities in independently handling ambiguous problems, managing multiple projects, and working in agile environments focusing on financial and sales analytics.