Highlights

We are seeking a proficient Senior BI Analyst to enhance our team of professionals who steer data-driven digital transformation across international projects spanning oil & gas, finance, retail and distribution, e-commerce, life sciences & healthcare, and more. In this role, you will lead the planning and execution of elicitation activities, collaborating closely with business and IT stakeholders, while independently driving the creation of high-quality deliverables that ensure clarity, accuracy, and reliability in all documentation and analysis.

Numbers & Facts

LocationAtlanta, GA

Description

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Senior BI Analyst

Remote in Georgia, & 4 others

BI Analysis

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We are seeking a proficient Senior BI Analyst to enhance our team of professionals who steer data-driven digital transformation across international projects spanning oil & gas, finance, retail and distribution, e-commerce, life sciences & healthcare, and more. In this role, you will lead the planning and execution of elicitation activities, collaborating closely with business and IT stakeholders, while independently driving the creation of high-quality deliverables that ensure clarity, accuracy, and reliability in all documentation and analysis.

Responsibilities

  • Participate in the design, development, and maintenance of dashboards, interactive charts, and reports following visualization best practices

  • Collaborate with the development team in end-to-end data migration and modernization projects, including ETL processes, data extraction, transformation, and loading

  • Lead meetings and workshops with clients and stakeholders to define and prioritize business needs

  • Translate requirements into actionable insights, fostering seamless collaboration with the delivery team throughout the project lifecycle

  • Perform data discovery, data assessment, and data profiling using SQL queries

  • Prepare source-to-target mappings, data models, data flows and related requirements documentation

  • Define and organize backlogs with epics, features, and stories

  • Participate in and drive Agile ceremonies including Sprint Reviews, Daily Stand-Ups, Planning, Refinements, and Retrospectives

  • Conduct User Acceptance Testing with customer stakeholders

  • Prepare high-quality post-development and post-production materials

  • Monitor and ensure the quality and reliability of deliverables, working independently and in collaboration with the development team and customer stakeholders

Requirements

  • 5+ years of experience in data-related projects such as data migration, data transformation, data governance, BI, and AI

  • 3+ years of expertise in handling BI, DWH, Data and Analytical project requirements including gathering, documenting, presenting, estimating, and prioritizing

  • Proficiency in end-to-end data and analytics project delivery using Agile and Waterfall methodologies

  • Proven experience in working with large datasets and performing data profiling using SQL queries

  • Strong understanding of DWH fundamentals, Data Modeling and Data Quality

  • Proficiency in preparing source-to-target mappings for data ingestion, curation, and related processes

  • Experience in BI tools such as Power BI and Tableau for data transformation, modeling, and visualization

  • Excellent written and verbal communication skills in the customers communication language

  • Ability to produce high-quality documentation and reports

  • Self-motivated, able to work with minimal supervision and lead client interactions

  • English proficiency at B2 level or higher

Nice to have

  • Experience with data on cloud platforms like Azure, AWS and GCP

  • Ability to create prototypes and mock-ups

  • Familiarity with the Data Governance framework

  • Experience collaborating with data scientists and defining requirements for AI-focused features

  • Familiarity with AI tools for BI analysis, information elicitation, documentation, agile workflows and data analysis

  • Industry knowledge in oil and gas, finance, insurance, supply chain or marketing

  • Ability to act as a Data Product Owner in analytical projects

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