SummaryLogical Data Analyst skilled in requirement analysis, software development and database management. Self-directed and proactive professional with 5 years of vast experience collecting, cleaning and interpreting data sets. Natural problem-solver possessing strong cross-functional understanding of information technology and business processes. SkillsQuery ToolsAnalytical Problem SolvingReporting ToolsData MiningData QualityData AnalysisData Visualization and PresentationsDatabase Programming and SQLLinear and Logistic regressionR and Python Experience01 2022toCurrentData AnalystGranicus Chicago,Il Or Denver,Conducted data analysis to prepare forecasts and identify trends.X-13ARIMA-SEATS model to seasonal adjustment for time series analysis 2 delinquencies.Generated reports and obtained data to develop analytics on key performance and operational metrics.Partnered with data scientists to support ongoing research and analytics initiatives.Worked with internal teams to understand business needs and changing strategies.Created and designed business intelligence databases, spreadsheets or outputs.Recommended metrics and models based on observed trends.Generated standard or custom reports summarizing business, financial or economic data.Managed diverse projects for data capture, storage and forecast analysis.Developed a new credit scoring matrix to target personal loans using linear and logistic predictive modelsMachine learning using descriptive models in analyzing the internal scoring model for personal loansUse descriptive analytics to implement new credit criteria for personal loans, Debt-to-Income ratio to Free Cash FlowExperience using Yeo-Johnson Transformation and center scale a vector to attempt normalizationImplemented internal reporting using power bi to Forecasting using 2 delinquency comparisonsBuilt compelling data stories and visualizations to influence decision makers.02 2021to12 2021Data SpecialistAscension Health Wichita,KS,Worked with internal processes using various modeling and machine learning in R to analyze inpatient care to hospice.Generated customized reports on client data, providing valuable insights into requested data points.Audited data regularly to guarantee data integrity and quality.Reconciled data to identify anomalies.Corrected data errors and entered missing information into new data parcels being processed for clients, maintaining compliance with guidelines.Reviewed and updated account information in company computer system.Extracted, imported and exported data into various database applications.Gathered data from multiple sources to assimilate meaningful inputs for databases.Created reports and audited charts to maintain concise records.Utilized Microsoft Power BI to create interactive and reporting dashboards used for internal operations.Developed and implemented a new payroll system using SSRS.Imported and implemented new data by creating a linked server with Microsoft SQL Server Management Studio.05 2020to10 2020Report DeveloperCgi Group Inc. Springfield,VA,Monitored and reported on key performance indicators and shared results with management team.Assessed and prioritized departmental reporting needs, functions and strategies and reported findings to management.Streamlined reporting processes by evaluating data sources, compiling data and redesigning output.Drafted and formatted reports in alignment with data quality requirements.10 2017to03 2020Data AnalystGranicus Columbus,OH,Audited internal data and processes to identify and manage initiatives, improving business performance.Generated reports and obtained data to develop analytics on key performance and operational metrics.Created impactful business reports utilizing large datasets and Crystal Reports, SQL, and MS Excel.Worked in a close team to build data support and report generation used for both internal and external reporting.Assisted in the administration and auditing of SQL databases.Created and maintained custom queries, views, and stored procedures using T-SQL for data and driven datasets.Assisted in change management validation and verification to ensure data quality.Managed Crystal to distribute daily, weekly, and monthly reports and dashboards for internal clients.Generated standard or custom reports summarizing business, financial or economic data. Education and TrainingExpected in05 2017totoBachelor of Science Business Administration MISUtah Tech University,St. George, UT,GPA Expected intotoMaster of Science Business AnalyticsUniversity of Utah,Salt Lake City,UTGPA  SEP  Job Role Data Analyst (1 Open Role)Location Dallas, TX (Candidate must be working at onsite) Duration Long Term NOTE Looking for Candidates with Strong SQL and Data warehousingETL experience. Telecom background would be preferred. Job Description Primary responsibilities for the position include This person will be required to discover, analyze, profile and document findings on source data systemsCreate source to target mappings using business rules to transform dataAssist development team during the development phase to resolve data issues and understand data constraintsThe candidate will create and maintain data sets for Data Mining and Predictive AnalyticsOnce development activities are completed the candidate will drive the testing of the final data outputThe ideal candidate will be a self-starting individual who is able to dive into details and quickly provide summary level readouts of the source dataThe position requires very strong communication skills as the candidate will be required to interact regularly with all levels within the organization, including developers, architects, business users and managementAssist with Tableau dashboard developmentSkills - Experience and RequirementsA successful Software Engineer will have Bachelor s degree from four-year College or University or three to four years related experience within an IT Department, preferably within a Data Warehouse andor equivalent combination of education and work experienceThe ideal candidate will have experience in data analysis and creating data sets from multiple source systemsExposure to and experience in data warehousing conceptsStrong SQL skills is a must.Experience working with various data sources (structured, semi structured and unstructured)Experience with AWS (S3 , Athena) is highly desiredExperience with cloud based data warehouses RedshiftSnowflakeExperience working within the TelcoCableSatelliteWireless industry a definite plusExperience with Tableau