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Tier-1 brand, common Data Analyst title, mid-level experience and broad toolset generate high competition.
SQL, Hadoop and cloud analytics skills are highly transferable across industries, so low sensitivity.
Explicit 2–5 years requirement plus listed big-data tools yields medium shortlisting strictness.
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Collaborate with business leaders to define data requirements, develop technical specifications, and extract actionable insights.
Analyze complex datasets using various big data platforms (Teradata, SQL Server, Hadoop, AWS) to develop predictive models and measure campaign effectiveness.
Ensure compliance with data governance policies while independently exercising judgment on significant analytical matters.
Bachelor's degree preferred; relevant combinations of education and experience considered.
2-5 years of related work experience in data analysis or analytics.
Ability to work variable schedules including nights and weekends as necessary.
Experience with big data platforms and predictive modeling explicitly required.
Experienced working directly with business stakeholders to translate data needs into actionable analytical products.
Skilled in handling diverse data sources and big data technologies for comprehensive and predictive analysis.
Capable of independently managing significant responsibilities within data governance and compliance frameworks.