Data Analyst III

and those authorized to work in the U.S. can be considered as W2 candidates. Job Title: Data Analyst IIILocation: Cupertino, CAStart Date: 08/02/2021End Date: 08/01/2022Description:Data Engineer - ConsultantKey Qualifications •7+ years of experience as a data analyst, data engineer or data scientist•3+ years of experience with Hadoop Ecosystem e.g. Spark, Pyspark, Hive, Presto, HMS•3+ years of experience with a programming language, e.g. Python, Scala•3+ years of experience in developing and optimizing Tableau data sources, dashboards and stories•Technical proficiency with SQL and relational databases•Ability to understand API Specs, identify relevant API calls, extract/transform data and implement SQL friendly data structures•Excellent analytical and problem solving skills•Strong communication and presentation skills•Demonstrated ability working with multiple teams to complete critical achievements under pressure with tight deadlines•Experience with Jupyter Notebook, Airflow preferred•Strong understanding of large-scale content management systems and data modeling strongly preferredDescription•Develop end to end reporting solutions for complex processes.•Gather business requirements, design and build automated reporting solutions in Tableau.•Analyze, inspect and create reports against various data sources in Hadoop, SQL.•Present the report findings to line of business reps to drive actions,•Provide deep analysis on internal data sets and recommend/build aggregates, dashboards and scorecards to be used for reporting at detail and management level. •Provide Tableau reporting expertise and knowledge to implement decision based reporting solutions.•Enhance and maintain existing production Tableau dashboards.•Responsible for incoming reporting requests and liaise between the reporting groups to accomplish monthly release cycles.EducationBS degree, preferably with a technical backgroundSkills: MacOSiOS5 - 10 years of experience.Keywords:Education: Bachelor''s Degree or equivalent work experience preferred.