Back
Tier-1 brand, mid-level generalist data title, metro location, and broad toolset create high applicant competition.
Core analytics, SQL, and modeling skills are broadly transferable across industries, so sensitivity is low.
Explicit 2–5 year requirement plus mandatory big-data and tooling experience makes shortlisting highly strict.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Define data requirements and develop predictive models to support business decisions and performance measurement.
Query and analyze large datasets across platforms like Teradata, SQL Server, Hadoop, and AWS to generate actionable insights.
Ensure compliance with data governance policies while collaborating with stakeholders to enhance analytics capabilities.
Bachelor's degree or equivalent combination of coursework and experience.
2-5 years of relevant work experience in data analytics or related field.
Proficient in querying big data platforms including Teradata, SQL Server, Hadoop, and AWS.
Must be able to work nights and weekends with variable schedules as necessary.
Experienced in translating business needs into technical specifications for data analysis and modeling.
Skilled in merging diverse data sources and conducting exploratory data analysis, hypothesis testing, and predictive modeling.
Comfortable exercising independent judgment and managing analytics projects with adherence to data governance and compliance standards.