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Rf Execution Specialist Resume

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NJ

SUMMARY:

  • Forward - thinking, multifaceted, and goal-oriented professional, offering diverse experience encompassing business analysis, data governance and analytics, quality assurance, and risk mitigation. Adept at designing, modifying, and upgrading technical systems by identifying trends, client needs, and business patterns. Knowledgeable of various strategies, practices, and processes for data quality optimization and integration. Equipped with excellent communication and interpersonal skills in collaborating with stakeholders, partners, and team members to ensure teh of set-forth goals and objectives. Core competencies include:
  • Continuous Process Improvement | Statistical Analysis | Data Migration
  • Root Cause Analysis | Project Coordination | Data Mining and Warehousing | Technical Support
  • Rapid Conflict Resolution | Tableau Dashboarding | Data Integration

PROFESSIONAL EXPERIENCE:

Confidential, NJ

Rf Execution Specialist

Responsibilities:

  • Primary point of contact to execute/facilitate business requests(RFP/RFI/eAuction) using Coupa CSO for ALL(global and regional) Tail and Mid Range events and optimization of cost TEMPeffectiveness
  • Trainer of team members on creation, deployment, modification of events(excluding buyer decisions)
  • Analysis, decision making, data presentation, event deployment and supplier technical assistance leveraging Tableau
  • Collaboratively worked with data scientists in guaranteeing efficient cost savings using ‘tail spend’ initiatives by aligning with portfolio requirements
  • Utilized SAP Ariba in contacting prospective bidding suppliers to product for procurement
  • Globally responsible(solely) for initiating and deploying eAuctions, RFPs(request for product), RFIs(request for information) within Coupa CSO(Spend Optimization)
  • Worked closely with data science and IT to configure data framework for data completeness and synergy
  • Automated data cleansing to assist data science via Blue Prism and MS Power Apps
  • Rolled out Tableau dashboard visualization to allow buyers to make quick decisions on ing material spend, as well as data configuration specific to category and subcategory buyer needs
  • Acted as key contact person for all for all data, integration, business practice, and processes
  • Developed SQL server master data environment to import data, configure data feed, and homogenize data types and sets
  • Assisted with tail spend optimization analysis, and material code configuration/mapping, along with business support for ad hoc datasets
  • Optimized business processes through keen assessment of risk mitigation procedures
  • Assumed responsibility in organizing incoming data and developing data warehouse to support buyers and managers in providing business insights as team database administrator
  • Served as connection to Shared Services Team with RPA through Blue Prism robotization, data analytics, business insights, and data governance
  • Regularly interfaced with stakeholders on technology implementation, software customization, and data migration

Confidential

Network Operations Analyst III

Responsibilities:

  • Partook in addressing data and business analysis needs of network operations by applying knowledge of both business process and intermediate technical capabilities of industry standard tools used to provide analytical insights
  • Assessed operations of business partner to gain understanding of their strengths and weaknesses and determine opportunities to improve processes and functions
  • Produced high-quality graphs, reports, and presentations of data results and conducted statistical analyses for Network Operations business units
  • Initiated translation of business requirements into functional specifications for teh network operations organization and administered associated changes to specifications
  • Prepared complex ad hoc reports, along with development and presentation of quality dashboards dat provided operational visibility to teh business units
  • Participated in and completed special projects as team member or project leader
  • Thoroughly analyzed and interpreted trends and patterns in complex data sets
  • Facilitated statistical analysis using a complex set of key data points to enhance network performance
  • Fulfilled key functions including Tableau Dashboarding, Postgres SQL, and Crystal Reporting

Confidential, New York, NY

Marketing Analytics Manager

Responsibilities:

  • Administered direct marketing analysis and production from Unica, SQL, BusinessObjects, and CIM to support loyalty marketing which entailed work prioritization, quality control, and process improvement within strict timelines
  • Collaborated with other teams in developing products and processes using database analysis tools
  • Prioritized key functions which involved user requirements elicitation, implementation testing, and production integration of CIM system enhancements
  • Carried out ad hoc analysis and reporting through SAS, SQL, and other tools to support loyalty and portfolio analysis for marketing and other business areas
  • Supervised a team of four to five analysts, responsible for monitoring stable timelines, providing technical support, and engaging with employees within other teams in marketing space
  • Optimized marketing TEMPeffectiveness analysis of campaigns through modeling and segmentation analysis using SQL, SAS, R, and other database analysis tools
  • Built a match rate analysis in retail consumer space, thus boosting efficiency by 22%

Confidential

Integration Specialist II

Responsibilities:

  • Closely coordinated with members of teh Integration and Implementation Team in ensuring data quality during and after implementation
  • Set strategic direction on teh deployment of data migration and integration tools to fulfill teh needs of a growing client base
  • Completed teh migration and integration of customer data into teh iCIMS platform
  • Held accountability in mapping required data elements from teh source data system into a customized layout to document all required transformations
  • Drove efficient integration of client information which encompassed background checks, assessments, HRIS, payroll, ERP, and job postings
  • Made use of systematic GETs, POSTs, and PATCHs in implementing API integrations
  • Created and executed onboarding efficiencies such as SharePoint procedural documentation, internal cookbooks, and process documentation, thus reducing ramp-up time to three months
  • Achieved a 14.3% faster turnover to completion for iCIMS by decreasing projected completion times by four days

Confidential

Data Quality Analyst

Responsibilities:

  • Partnered with teh pool managers, data managers, and teh EDI Team in teh capacity to pre-stage teh data for readiness to load into systems. These tasks involved formatting, data cleansing, and standardizing values/fields.
  • Employed keen attention to detail in checking transaction volumes for various originators and transaction completeness to be relayed after determining variances
  • Demonstrated problem-solving skills in addressing data and data process-related issues, including ensuring teh completion of PL/SQL queries and fields were populated in teh transactions received
  • Distributed financial responsibility to correct customers through root cause analysis (RCA) which included ‘match rate analysis’ and ‘unknown-bill-to to diagnose missing data from highest offender locations
  • Directly assisted stakeholders in making decisions and identifying inefficiencies using flat file/ASCII file, FTP data migration, and reporting tools
  • Took charge of cloning environments through Microsoft Excel spreadsheets and PL/SQL
  • Played an integral role in decreasing a fiscally high rate of offenders by 17% by ETL processes to assist in self-cleaning data streams via automation

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