Data Analyst (staff Developer) Resume
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San, FranciscO
SUMMARY:
- 5 years of mobile app analytics experience.
- 3 years of experience with Hadoop systems.
- 1 year of experience with Spark streaming /Spark SQL.
- Fluency in SQL.
- Python project development experience.
- Moderate experience with R.
- Proven track record of leveraging analytics and large amount of data to drive significant business impact.
- Solid understanding of statistical principals and experimentation design.
- Self - driven and passionate about data science.
TECHNICAL SKILLS
- Oracle DB, Confidential DW.
- Hadoop, Hive, Pig, Spark, Spark Streaming, Spark SQL
- OBIEE, SAS Enterprise Guide, Confidential, Tableau, Excel/ Excel pivot
- SQL,SAS, Python, R, Scala
- SAS Business Intelligence Platform Administration, SAS EG,SAS base, SAS Macro, SAS ODS
- Mobile App Analytics
- Statistical Analysis
PROFESSIONAL EXPERIENCE
Data Analyst (Staff Developer)
Confidential, San Francisco
Responsibilities:- Performed big data analyses to provide insight for product (or feature) design or improvement using tools such as SQL/ SAS/ Excel etc.
- Contributed to the company's efforts of building modernized analytical data infrastructure in scrum agile development using tools such as spark streaming/ bash shell/ python / Scala / SparkSQL/
Confidential
SQL
Responsibilities:
- Performed security analysis from defining the problem scope, collecting data from different sources, processing data, generating segmented targeting and monitoring campaign progress.
- Awarded for outstanding performance.
- Provided statistical analysis of the impact of new feature introduction on user engagement, including experimentation design.
- Provided automated extensive customer segmentation reports to monitor adoption of the new feature.
- Built real-time data pipelines using kafka / spark streaming/ Cassandra.
- Created type 2 SCDs ETL in cloud Confidential data warehouse.
- Verified new deployments in Confidential and pinpointed causes of data quality issues.
- Built python- Flask user authentication web application and responsible for integrating Flask applications of team works.
- Built LookML dashboards using Confidential .
Data Analyst (Senior Developer)
Confidential, San Francisco
Responsibilities:
- Performed ad-hoc data analyses and data extraction requests using SQL/ SAS / Excel.
- Built processes and metrics dashboards to make data more accessible using SQL/ SAS /Excel/
- Extracted insights from mobile app behavior data and third-party customer data by statistical analysis, segmentation analysis, cohort analysis to drive engagement, improve user experience and increase revenues.
- Developed user analytic data marts to facilitate ad-hoc big data analysis, reducing reporting turnaround time from days to hours and greatly improving business users’ productivity.
- Built rich, high-visibility, automated reports / dashboards used by a diverse set of teams across the company.
- Refactored code for legacy SAS/ Excel dashboards for external formulary clients, reducing reports’ running time from a week to 2 days and improving accuracy.
- Built custom third-party data sharing products for the sales team, increasing sales by 5%.
- Developed python MapReduce ETL jobs to ingest common logging event JSON data into HDFS/ Hive using Hadoop streaming.
- Earned Confidential ’s annual ‘Extra Mile Award’.
Data Analyst
Confidential, San Francisco
Responsibilities:
- Extracted actionable insights from mobile app behavior data and third-party physician datasets by statistical analyses, segmentation analyses, cohort analyses to drive engagement, to improve user experience and to increase revenues.
- Performed homescreen click density analysis, leading to the development of 40 million homescreen messaging commercial product.
- Improved user account linkage by linking users with associated device, enhancing accuracy of customer analysis.
- Provided data extraction for effective and efficient campaign targeting.
- Developed monthly NPS (net promotor score) survey stratified sampling algorithm.
- Tuned SAS ETL, leading to implementation of daily refresh instead of previous weekly refresh of data marts.
- Upgraded SAS Business Intelligence Platform from 9.2 to 9.4.
Postdoctoral Researcher
Confidential