| 100% INTERVIEW || Data Analyst || Plano, TX || Hybrid || at Plano, Texas, USA |
| Email: mdas@vyzeinc.com |
|
https://rb.gy/r1ud0k https://jobs.nvoids.com/job_details.jsp?id=1977642&uid= From: Manendra das, VYZE INC mdas@vyzeinc.com Reply to: mdas@vyzeinc.com Hi Hope you are doing great, Please go through the below job description and provide me your consultant updated resume. Position: Data Analyst Location: Plano, TX (Hybrid) (Local Only) Duration: 6+ Months Visa: No H1B MOI: Video > Job Description: Top skills: ADVANCED WORKING SQL, DATA ANALYSIS SKILLS and a BI tool like Tableau > Summary: > The main function of the Data Analyst is to provide business intelligence support and supporting areas by means of both repeatable and ad hoc reporting delivery reports (charts, graphs, tables, etc) that enable informed business decisions. > Job Responsibilities: > Analyzes performance of process activities, identifies problem areas, and presents findings in clear, concise charts, graphs, tables, or summaries. > Establishes standardized methods of recording, tracking and reporting on activity. > Design, implement, automate and maintain large scale enterprise data ETL processes. > Modify existing databases and database management systems and/or direct programmers and analysts to make changes. > Test programs or databases, correct errors and make necessary modifications. > Conducts research on emerging products, services, approaches, and techniques in the area of data analysis. > Skills: > Strong interpersonal and consultative skills to translate and understand reporting requirements. > Ability to work as part of a team, as well as work independently or with minimal direction. > Excellent written, presentation, and verbal communication skills. > Demonstrated knowledge of one or more key information service standards such as SDLC, ITIL, QA/testing, Project Management, Six Sigma, etc. > Strong PC skills including knowledge of Microsoft SharePoint. > Education/Experience: > Bachelor's degree in a technical field such as computer science, computer engineering or related field required. > 8-10 years of experience required. > Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI. > KEY RESPONSIBILITES/REQUIREMENTS: > Summary: > As a Senior Data Analyst/Data PM for Customer Service Operations, you leverage advanced analytical skills to extract insights from customer service data, identifying trends and areas for improvement, and providing actionable recommendations to optimize customer service processes, ultimately enhancing customer satisfaction and operational efficiency within the organization; this role involves deep analysis of customer interactions, support tickets, and performance metrics to drive data-driven decision making for customer service strategies > Job Responsibilities: > Data: Gathering large volumes of customer service data from various sources (CRM systems, support tickets, surveys) and utilizing statistical methods to identify patterns and trends. Design and support building new data pipelines (or enhancements to existing data pipelines) by partnering with engineering teams. > Performance Metric Monitoring: Tracking key customer service KPIs like response times, resolution rates, customer satisfaction scores, and identifying areas needing improvement. > Reporting and Visualization: Developing comprehensive dashboards and reports to present insights to stakeholders, including leadership and customer service teams, using data visualization tools. > Process Optimization: Analyzing data to identify bottlenecks in customer service workflows and recommending process improvements to streamline operations. > Root Cause Analysis: Investigating customer complaints and identifying underlying issues to address systemic problems impacting customer experience. > Predictive Modeling: Utilizing statistical techniques to forecast customer behavior and potential issues, enabling proactive interventions. > Collaboration: Working closely with customer service teams to understand their needs, translate data insights into actionable strategies, and implement changes. > Data - Responsibilities > Work with different business teams to procure data for the team in timely manner > Ensure data is of good quality > Always looking for avenues for automation in data pipelines wherever applicable > Knowledge in Data governance, Data Bases, ID Mapping, APIs and Reporting > Ensure the Data Product output is interfaced with downstream systems properly and define SLAs. > Ensure Interface documentation is thorough > Core Responsibilities > Use JIRA and Confluence as tools for Agile Project planning > Follow Kanban development principles to develop and deploy cutting edge Data reports, Products and POCs using massive sets of structured and un-structured data. > Ensure the data reports/products are deployed with through testing and is of highest quality > Communicate the results to other members of team in a clear and intuitive manner > Interface with leadership and team members regularly to brain storm ideas, communicate progress and risks. > Communicate the progress and results in clear, concise and timely manner with other stake holders > Must have Soft Skills > Proactive and sometimes Reactive > o "Think and Jump right in" attitude > o Need to be an independent contributor simultaneously valuing feedback from team members > Work Style > o Be analytical and solve problems without losing sight of end goals > o Detail oriented but never lose sight of deadlines > Procedure Oriented - > o Clearly understand and agree on the standards set by the leadership and how they will be evaluated > o Maintain standards most of the time however should voice new procedures and systems > Interpersonal skills- > o Need to be able to empathize with team and be able to control his/her internal state to handle the work load during ambitious targets. > o Given ambitious deadlines be proactive and extract clarity on requirements, deliverables and tasks from PM and leadership > Quality Control > o Constantly check on models and not assume that things are ok. > Should have Knowledge and Experience > o Experience in Telecom/retail/e-commerce/consumer packaged goods (CPG), Mobile or Consumer electronics industries > o Agile Principles/Scrum/Kanban > o Proficient in SQL & Python > o Expert in Tableau or PowerBI > o Proficient in Data Visualizations > o Prior experience in Customer Service is highly preferred. > Education/Experience : > o Bachelor's degree in a technical field such as computer science, computer engineering or related field required. > o 5-7 years of experience required. > o Process certification, such as, Six Sigma, CBPP, BPM, ISO 20000, ITIL, CMMI. > Basic Qualifications > Bachelors in Engineering, Mathematics, or other quantitative field > 5+ years of hands-on experience in Data Analytics or Data Product Management roles > 5+ years of experience in data manipulation using Advanced SQL > Experience in an eCommerce and/or Customer Service domains > Strong problem solving ability along with proven experience in managing multiple tasks simultaneously with a rigid determination to meet deadlines > Excellent communication and data presentation skills Best Regards, Manendra Das Technical Recruiter, VYZE INC. (An E-Verified Company), Phone: 1 571-370-4887 24718 Tribe Square #306, Dulles VA 20166 mads@vyzeinc.com Disclaimer: This communication, along with any documents, files or attachments, is intended only for the use of the addressee and may contain confidential information. If you are not the intended recipient, you are hereby notified that any dissemination, distribution or copying of any information contained in or attached to this communication is strictly prohibited, To remove your email address permanently from future mailings Keywords: quality analyst business intelligence active directory golang Idaho Texas Virginia 100% INTERVIEW || Data Analyst || Plano, TX || Hybrid || mdas@vyzeinc.com https://rb.gy/r1ud0k https://jobs.nvoids.com/job_details.jsp?id=1977642&uid= |
| mdas@vyzeinc.com View All |
| 07:35 PM 03-Dec-24 |