Senior Systems EngineerÂ Data Analyst Resume

SUMMARY:

3.5 years of IT experience as a Data Analyst skilled in interpreting and analyzing data in a fast - paced environment with certifications in SQL and Base SAS programming
Experienced in SQL queries to manipulate data for data loads and extracts from various databases for data analysis
Experienced in analysis of data sets using SAS 9.4 and data visualization using Tableau
Exposure to the data warehouse applications and data modelling concepts with a sound understanding of relational databases and ETL processes
Advanced proficiency of Excel to generate spreadsheets functionality like pivot tables,V-lookup and VBA scripting
Prepared detailed technical documents and reports while managing complex data analysis responsibilities
Strong analytical, problem solving and statistical analysis skills with efficiency in oral and written communication
Attention to detail & ability to work in a pressurized time sensitive environment

TECHNICAL SKILLS:

Languages: Advanced SQL, PL/SQL, C, C++,JAVA, Unix

Databases: Oracle 11g, SQL Server, MySQL, Teradata

MS Office: Excel, Word, PowerPoint, Outlook, Access, Visio, MS Project

Software: Eclipse IDE, SQL Developer, Tableau, SAS Base, SAS Enterprise Miner, Pentaho Kettle

PROFESSIONAL EXPERIENCE:

Confidential

Senior Systems Engineer Data Analyst

Responsibilities:

Manipulated, cleansed & processed data using Excel, Access and SQL for client activities
Analyzed raw data, drawing conclusions & developing recommendations for the client
SQL programming, including stored procedures, functions, triggers, and other related DML operations
Performed daily data queries using SQL and prepared reports on a weekly, monthly and a quarterly basis
Involved in the collecting, parsing, managing, analyzing and visualizing very large structured data sets using Tableau
Defined data requirements and gathered and validated shipment information, applying judgment and statistical tests to extract patterns and trends in the shipment behavior
Performed quantitative and qualitative analysis of Retail and Medicare data, relating constants and variables, conflicting objectives and their numerical parameters
Analyzed functional requirements and translated them into ETL mapping documents
Interpreted data, analyzed results using SAS and used statistical techniques for providing ongoing reports
Analyzed data analysis requests obtained from management to conceptualize and define operational problems and define data modeling requirements, validation of content and problem solving parameters
Developed, published and maintained periodic reports and dashboards for key design and process metrics
Used and shaped large amounts of data to analyze trends and quickly understand business impact
Conducted training seminars, user acceptance sessions, and presented business value recommendations
Communicated with internal teams and external partners to coordinate reporting and decision-making

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