| C2C Requirments Data Analyst-NO H1B-Must have Retail Industry at Charlotte, North Carolina, USA |
| Email: [email protected] |
| Must have Retail Industry Title: Data Analyst Location: Charlotte, NC (Hybrid) VISA: No Sponsorship Software Skills Required: SQL, JIRA, Confleunce, Data Modelling, dbbeaver Key Responsibilities: Responsible to leverage disparate data sources, relevant external data and strong domain expertise, in order to deliver on a need of the business Provides technical skills to analytics projects, performing more advanced project analysis and data modeling, ultimately ensuring that the final deliverable is high-quality and provides impactful insights Translates a business question into an analytical model that can be utilized and executed by the business; Collects, cleans, transforms, and restructures data for statistical analysis; performs statistical summaries and tests for relevant business questions Serves as an analytical subject-matter expert in the analytical team, working with leading analytics and data modeling tools in order to achieve the deliverables.; Communicates analyses and insights to leaders by summarizing conclusions and solutions; translates analytics and statistics into clear, understandable themes for business leaders; identifies specific analytic results that drive actionable insights Performs operational or customer behavior modeling and analysis in order to provide quality insights Creates analytic solutions by exploring innovative data and techniques; conducts exploratory data analysis and modeling Builds predictive and prescriptive models supporting a vast array of customer and business scenarios; performs statistical tests to enhance the predictability of models Maintains consistency in analytic practices by brainstorming and partnering with other areas within the project team as prescribed Develops solid hypotheses, in collaboration with business partners, on how value can be created; builds analytical models, analyses, or tests to validate/disprove these hypotheses and develops actionable recommendations Tracks measures of success and develop dashboard reports that measure customer and operational metrics for one or more to other operations, with actionable insights Translates project requirements into analytical problem(s), sometimes partnering with junior level analysts, validating and understanding of requirements with manager or more senior level analysts Contributes to or builds project plans, ensuring clear understanding of project requirements and timeline; communicates project timelines, scope and expectations to stakeholders Gathers and assimilates information/data, using known tools, techniques, methods and models to ensure an accurate and concise output summarizing findings; discusses analysis and findings with the team before delivering to stakeholders Maintains updated knowledge of evolving technology and methods that can be used for effective data analysis Provides input into the framework for measuring impact of the data analytics function; participates in discussions of impact with stakeholders Digital Analytics Implementation Responsibilities Implements somewhat complex analytic solutions, sometimes with input and direction from more senior level team members Translates business needs into digital tagging specifications so that extracted data can allow for impactful insights used to inform effective business decisions Determines the most effective time and cost-efficient methods for capturing data elements to be utilized in web development Designs and develops analytics tagging specifications customized for digital content and implements those solutions across multiple digital channels Develops digital tagging solutions that measure search, financial results, customer satisfaction, and engagement metrics for somewhat complex digital properties Partners with internal development teams to test and deploy new tracking solutions while monitoring and optimizing existing integrations Reviews the activities on implementation projects (including project discovery, coordination and implementation activities), to ensure that they are executed on time Audits digital tags and publishes the results to ensure that digital tag requests for both internal and external clients are executed accurately and efficiently, maintaining data integrity Maintains up-to-date knowledge on industry trends, emerging technologies, and new methodologies for utilization in finding innovative ways to perform data capture and derive valuable insights for the deliverables. Supports data collection projects, collaborating across functions Competencies: Technical Competencies Data Mining Statistical Analysis and Measurement Data Gathering and Analysis Big Data Computing Business Data Analysis Qualifications Minimum Qualifications: Bachelors Degree in Business, Economics, Engineering, Statistics, Data or Information Sciences, or related field AND 3 years of related experience Master's degree in business, Economics, Engineering, Statistics, Data or Information Sciences, or related field AND 1 year of related experience ALSO 2 years of experience using analytic tools (e.g., Python, SQL, SAS, R, Adobe, Alteryx, Knime, Aster, Base SAS, SAS Enterprise Miner, Enterprise Guide) 1 year of experience working with Enterprise level databases (e.g., Hadoop, Teradata, Aster, GCP, Azure, Oracle, DB2) 2 years of experience using enterprise-grade data visualization tools (e.g., MicroStrategy VI, Power BI, Tableau) 1 year of Functional experience performing predictive analytics at a large scale enterprise Thanks & Regards Shalini Sr. Technical Recruiter SR Talent Solution INC. -- Keywords: business intelligence rlang information technology North Carolina C2C Requirments Data Analyst-NO H1B-Must have Retail Industry [email protected] |
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| Thu Nov 14 02:25:00 UTC 2024 |