Data Engineer - Data Analyst
Technical Skills: Data Analysis, BI, SQL Reports, Dashboards, Reporting tools, Data Sets, Databases.
Preferred Skills: AWS-Redshift-SQL.
Client need expert in Data Analyst and other TIBCO products as well.
Develop and maintain databases in order to obtain outcome data and create dashboards and other reports.
Strong hands-on skills in SQL development and be able to create ad-hoc queries to meet business needs.
Experience working with large data sets, producing and clearly explaining data analysis findings to clients and managers.
A strong track record of on-time project delivery for large, cross-functional projects.
Own data analysis and visualization, and communicate the outcomes/insights to various stakeholders to aid strategic decisions for improvements in support experience for drivers and riders.
Coordinate with other members of the Community Operations Team to measure the impact and efficiency of new products and business processes.
Business Objects/Business Intelligence experience is required at least at basic level.
Excellent written and oral communication skills, especially in conveying technical concepts to non-technical audiences.
Strong attention to detail to ensure accuracy and provide validation of results.
Strong analytical skills and ability to identify appropriate analytical approaches depending on the business need.
Work closely with teams and internal customers to meet client data reporting needs.
Create proactive analyses comparing our results to industry data to evaluate program performance for internal management and external clients.
Participates in high level business initiatives and assist with all levels of metric reporting.
Report Automation- work with IT to publish canned reports based on business needs/requests.
Performs the analysis, exploring all appropriate options, and performing constant validation against existing data/reporting throughout.
Serves as data steward to validate high profile or external data to ensure accurate reporting.
Monitor and perform trend analysis for the company and research report on anomalies.
Proactively manage report development meeting the expectations of format and delivery timeframe.
Develop optimal data management and reporting practices, including best practice identification, Client network usage analysis, and missed opportunity/leakage analysis.