Data Analyst- Measurement & Analytics

Location: Tampa, FL - Remote
Category: Learning & Development
Employment Type: Contract
Job ID: 15915
Date Added: 10/16/2023

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**NO C2C Arrangements at this time!!!!** 

Our Big 4 Client is looking for a Data Analyst (Measurement & Analytics) professional to join their team remotely. 

Team: Measurement & Analytics Reporting Team
Location: Fully Remote
Duration: Contract- starts at 6 month, very likely to get extended

Overall Job Description:

The Measurement & Analytics reporting team partners closely with L&D stakeholders, crafting insightful operational reports, leadership dashboards, and reporting metrics. We excel in developing innovative solutions, automating manual tasks, and enhancing efficiency within their Learning & Development department.

  • Collaborate closely with stakeholders to comprehend business needs; create and execute diverse reporting solutions, ensuring accuracy and relevance.
  • Manage extensive datasets, generating detailed reports for learning programs, monitoring learner progress, and evaluating learning impact.
  • Validate reports and data against source systems, guaranteeing quality and precision.
  • Implement data cleansing and update routines, utilizing standard data quality functions to maintain accuracy and leverage expertise in data and technology management.

Top 4 Skills:
  1. Data Analytics Tool (Tableu, PowerBi, etc.)
  2. Stakeholder management
  3. Attention to detail
  4. Time management and managing of projects simultaneously
  5. SQL

  • 3-5 years of experience in a Reporting, Data Analytics Role.  
  • Proficiency in Microsoft 365, Power BI, Alteryx, and Azure cloud-based tools.
  • Familiarity with Scrum or project management methodologies, including sprint planning, backlog grooming, and team collaboration.
  • Experience in coordinating cross-functional teams and managing project timelines
  • Proficiency in data analysis such as data visualization, data cleaning and preparation.
  • Strong knowledge of SQL such as data retrieval, data manipulation, performance tuning, Indexing, functions, stored procedures.
  • Experience working with large datasets and the ability to create and maintain complex reports.
  • Ability to validate reports and data sets against source systems to ensure accuracy and quality.
  • Familiarity with BI (Business Intelligence Tools) tools like Alteryx, Power BI, Power Automate, Microsoft Profisee, Microsoft Purview, Azure Data Factory, MicroStrategy Business Intelligence, or other similar business intelligence and data warehouse tools.
  • Familiarity with Human Capital Management (HCM) systems like Human Capital Management (HCM), Learning Management System (LMS), Master Data Management (MDM), Databricks, Data Lakes, Apache Spark

Skills Preferred
  • Advanced SQL Proficiency: Ability to analyze and manipulate data, create and troubleshoot tables, queries, functions, and stored procedures, as well as create reporting visualizations using tools like PowerBI or MicroStrategy.
  • Data Analysis in Alteryx and Excel: Proficiency in leveraging advanced features, creating, and manipulating data effectively using Alteryx and Excel.
  • Reporting and Data Validation: Ability to build insightful reporting dashboards, packages, and ad hoc reporting requests for stakeholders.
  • Data Validation: Skill in validating reports and datasets against source systems to ensure accuracy and quality.
  • Collaboration and Stakeholder Engagement: Ability to work closely with project managers and stakeholders to understand business requirements and translate them into effective data solutions.
  • Problem-solving: Strong troubleshooting skills to identify and resolve issues related to data manipulation, reporting, and visualization.
  • Attention to Detail: Meticulousness in data analysis, validation, and reporting to ensure precision and accuracy.
  • Learning and Adaptability: Willingness to learn new tools and techniques, staying updated with the latest advancements in data analytics and visualization technologies.
  • A bachelor’s degree or equivalent experience is preferred. An undergraduate degree in Computer Science or a related field, with coursework in statistics, analysis, data modeling, etc., is preferable.