Senior Data Analyst I | US Fortune 500 Multinational Consulting Company | 5-8 years (BB-68759)

Found in: Neuvoo Premium IN


US Fortune 500 Multinational Consulting Company is hiring for one of its Fortune500 clients
-Build and deploy forecasts and report business key performance indicators (KPIs) for senior leadership and partner with the stakeholders to deliver relevant analysis and insights.
-Write, drive, and prioritize thoughtful and detailed functional specifications for real-time operational and performance analytics using open source streaming technologies
-Deploy reporting and analytics within a focused area of the company’s business value stream to enable data driven business decisions that will drive performance and lead to the accomplishment of annual goals
-Deploy quantitative research, causal inference and predictive models to understand and optimize drivers of growth and performance
-Project manage and deliver large analytics projects with multiple business stakeholders on firm deadlines
-Utilize expertise with business partners to collaborate with key partners to understand requirements, drive knowledge into action and support data driven decision making
-Document and communicate systems/analytics changes to the business, translating complex functionality into business relevant language
-Support and troubleshoot issues (process & system), identify root cause, and proactively recommend sustainable corrective actions
-Bachelor’s Degree in Computer Science, MIS, other quantitative disciplines, or related fields
-7+ years of relevant analytical experiences that can translate into defining strategic vision into requirements and working with the best engineers, product managers, and data scientists
-Ability to conduct data analysis, develop and test hypothesis and deliver insights with minimal supervision
-Experience identifying and define KPI’s and cohorts for apps, traffic, user retention
-Exceptional SQL skills
-Experience with modern visualization tool stack, such as: Kibana, Tableau, Power BI, d3js
-Hands-on experience working with streaming data sources such as Kafka, Kinesis
-Experience with open-source, big data and cloud infrastructure such as AWS
-Experience writing detailed technical specifications describing requirements for data movement, transformation, storage, quality checks, and access latency
-Incredible attention to detail, with structured problem-solving approach
-Excellent communications skills (written and verbal)
-Experience with clickstream data
-Experience with agile development methodologies
-Experience with data transformation and BI tools
-Experience with retail or ecommerce domains is a plus


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