Role : Business Data Analyst
Location : Mountain View CA (100% Day 1 Onsite)
Must have : Qlik sense + SQL + AWS(S3, EMR) + Data Analytics experience
Experience in any scripting language such as Bash or Python + Good communication skills.
What You'll Do
Partner with Business Stakeholders and other analytics teams to enable decision support and key customer insights in the Self Analytics space.
Ensure reporting solutions are scalable, repeatable, effective, and meet expectations for a variety of stakeholders.
Define, implement, and standardize metrics, reports and dashboards leveraging state of the art business intelligence tools.
Provide recommendations utilizing statistical model generation using multiple types of data, business knowledge, programmatic insights, and strategic assumptions when data doesn't exist.
Answer ad-hoc analytic questions, contribute to decision-making through opportunity sizing, and train users to self-serve standard reports.
Enforce data quality standards, troubleshoot data validation, identify issues and see them to resolution.
Work in an agile, SCRUM driven environment to deliver new, innovative products
Team Player possessing strong analytical, problem solving, communication skills and be willing to share expertise with others
Troubleshooting issues and migration/publication of Qlik sense applications
End to end engineering design, development, testing, deployment and operations
Analyze, break down pros/cons, and present findings for new business tools beyond Qlik Sense
Expertise You'll Bring
BE in computer science or equivalent work experience
5-8 years of experience working with data and analytics with knowledge of statistics
Highly proficient in SQL, Data Visualization software (e.g. QlikSense is a must, Tableau), and Excel
Excellent problem-solving and logic skills and end-to-end quantitative thinking
Ability to manage multiple projects simultaneously to meet objectives and key deadlines
Outstanding communications skills with both technical and non-technical colleagues
Strong ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on recommendations
Proactive and inquisitive learner who seeks out and capitalizes on opportunities for change that enhance the business, rather than reacting to circumstances
Strong organization, time management and task prioritization skills
Ability to adapt and flex given changing environments and priorities
Experience in a scripting language to automate and reuse code preferred
Experience in defining metrics and instrumenting data tracking preferred
Hands on experience on QlikSense, AWS (S3, EMR)
Advanced SQL skills and experience developing data warehouse and data mart solutions is preferred