Job Description :
Senior Data Analyst, Data Analytics and Reporting
Job Description:
This Senior Data Analyst will support ASI’s Data Strategy and Management Director in servicing ASI’s / AARP’s client with data collection, processing and reporting of several data sources. She or he will also support reporting infrastructure, running processes, support data requests, maintenance & accuracy, as well as new reporting development. For marketing efforts, the Senior Data Analyst will track, report & provide recommendations and oversee monthly client deliverables for client related data needs and campaigns. He or she will also support the development & implementation of automated reporting.
Key Responsibilities Include:
1. Manage/oversee tracking, data capture, storage, usage and reporting of data (including member data, engagement, conversion and other cross products’ data) 2. Generate and post new & ongoing data processing, data insights and reports to ASI Director and ASI Marketing/Client Relationship Managers. 3. Support the agency data needs and platform support.Ad hoc data pulls & analyses supporting insights generation for internal marketing teams, clients and marketing managers 4. Proactively identify issues and recommend resolutions to data, working closely with key stake holders to offer alternatives and enhancements. Technical support to all the deliveries. 5. Work with Marketing & Digital teams to develop reporting requirements and specifications for data projects/requests 6. Mobilize and process data files. Including FTPing, SQL Server data load and analysis of raw data 7. Analyze and report data from SAS datasets, SQL server tables, Cloud systems and work towards automation by using in house tools. 8. Attributes: attention to detail; self-sufficient; self-motivated; hard working; collaborative 9. Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. 10. Work with data and analytics experts to strive for greater functionality in our data systems.

ualifications for Data Engineer

1. Advanced and hands on experience with SAS 9.0 and above and experience with massive data analytics 2. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. 3. Experience building and optimizing ‘big data’ data pipelines, architectures and data sets. 4. Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. 5. Strong analytic skills related to working with unstructured datasets. Build processes supporting data transformation, data structures, metadata, dependency and workload management. 6. Experience supporting and working with cross-functional teams in a dynamic environment. 7. We are looking for a candidate with 5+ years of experience in a Data Engineer or Analyst role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information