Requisition ID:  86659 Florida Power &amp; Light Company is the largest electric utility in the U.S., providing reliable energy to nearly 12 million Floridians. With one of the nation’s most fuel-efficient, cost-effective power generation fleets and industry-leading reliability, we’re redefining what’s possible in energy. Want to be part of something powerful? Join our outstanding team and help shape the future of energy. Position Specific DescriptionAs an SAP Supply Chain Data Analyst with Enterprise Systems, you will be responsible for the process of transforming raw data into a usable format for analysis. This role involves cleaning, organizing, and structuring data from various sources to ensure its accuracy and quality.  You will work closely with data scientists, analysts, and other stakeholders to prepare data that supports our business objectives and analytical projects.   You will work in various SAP environments to be used for analysis, reporting, and integration with other non-SAP enterprise systems. Key Responsibilities:<ul><li>Data Collection: Gather raw data from multiple data sources, including databases, APIs, and external sources.</li><li>Extract data from various SAP modules such as SAP HANA, SAP BW, SAP ECC, and SAP S/4HANA.</li><li>Utilize tools like SAP Data Services, SAP HANA Smart Data Integration, or custom ABAP programs for data extraction.</li><li>Data Cleaning: Identify and rectify errors, inconsistencies, and missing data to ensure data quality.</li><li>Handle missing, duplicate, and inconsistent data arising from different SAP modules.</li><li>Use SAP Data Services or custom scripts to automate the data cleaning process and ensure data accuracy.</li><li>Data Structuring: Convert raw data into structured formats suitable for analysis, such as tables, databases, or dataframes.</li><li>Data Enrichment: Integrate additional relevant information to enhance datasets and provide more context.</li><li>Data Validation: Conduct rigorous checks to verify the accuracy and integrity of the data.</li><li>Use Data Validation tools within SAP Data Services or custom validation scripts to verify the quality of the transformed data.</li><li>Data Transformation: Normalize, aggregate, and transform data to meet analysis requirements, creating new variables or features as necessary.</li><li>Handle missing, duplicate, and inconsistent data arising from different SAP modules.</li><li>Use SAP Data Services or custom scripts to automate the data cleaning process and ensure data accuracy.</li><li>Data Integration: Integrate SAP data with non-SAP external systems or data sources (e.g., combining SAP transactional data with CRM data).</li><li>Leverage SAP HANA and SAP Data Services to facilitate smooth data integration across multiple platforms.</li><li>Load prepared data into target systems such as SAP BW for reporting, data lakes for big data analysis, or BI tools like SAP BusinessObjects and SAP Analytics Cloud.</li><li>Collaboration: Work closely with data scientists, analysts, and other team members to understand data needs and ensure data availability for analytical projects.</li><li>Documentation: Maintain clear documentation of data wrangling procedures and transformations to ensure reproducibility and transparency.</li><li>Continuous Improvement: Stay updated with data wrangling techniques and tools, and continuously improve data processes.</li></ul> Qualifications:<ul><li>Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.</li><li>Proven experience in data wrangling, data cleaning, and data transformation.</li><li>Preferred experience in SAP Solutions including:<ul><li>SAP Data Services</li><li>SAP HANA</li><li>SAP BW/4HANA</li><li>SAP BusinessObjects</li><li>SAP Cloud Platform Integration</li></ul></li><li>Proficiency in programming languages commonly used for data wrangling, such as Python or R.</li><li>Strong knowledge of SQL for database querying and manipulation.</li><li>Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Ability to work both independently and collaboratively in a team environment.</li><li>Strong communication and documentation skills.  </li></ul>

NextEra Energy, Inc. (NYSE: NEE) is a leading clean energy company headquartered in Juno Beach, Florida. NextEra Energy owns two electric companies in Florida: Florida Power &amp; Light Company, which serves more than five million customer accounts in Florida and is the largest rate-regulated electric utility in the United States as measured by retail electricity produced and sold; and Gulf Power Company, which serves more than 460,000 customers in eight counties throughout Northwest Florida. NextEra Energy also owns a competitive energy business, NextEra Energy Resources, LLC, which, together with its affiliated entities, is the world&rsquo;s largest generator of renewable energy from the wind and sun and a world leader in battery storage. Through its subsidiaries, NextEra Energy generates clean, emissions-free electricity from eight commercial nuclear power units in Florida, New Hampshire, Iowa and Wisconsin. A Fortune 200 company and included in the S&amp;P 100 index, NextEra Energy has been recognized often by third parties for its efforts in sustainability, corporate responsibility, ethics and compliance, and diversity. NextEra Energy is ranked No. 1 in the electric and gas utilities industry on Fortune&rsquo;s 2019 list of &ldquo;World&rsquo;s Most Admired Companies&rdquo; and ranked among the top 25 on Fortune&rsquo;s 2018 list of companies that &ldquo;Change the World.&rdquo;

Senior IT ERP Business Systems Analyst

Requisition ID:&nbsp; 86659&nbsp;Florida Power &amp; Light Company is the largest electric utility in the U.S., providing reliable energy to nearly 12 million Floridians. With one of the nation’s most fuel-efficient, cost-effective power generation fleets and industry-leading reliability, we’re redefining what’s possible in energy. Want to be part of something powerful? Join our outstanding team and help shape the future of energy.&nbsp;Position Specific DescriptionAs an SAP Supply Chain Data Analyst with Enterprise Systems, you will be responsible for the process of transforming raw data into a usable format for analysis. This role involves cleaning, organizing, and structuring data from various sources to ensure its accuracy and quality.&nbsp; You will work closely with data scientists, analysts, and other stakeholders to prepare data that supports our business objectives and analytical projects. &nbsp;&nbsp;You will work in various SAP environments to be used for analysis, reporting, and integration with other non-SAP enterprise systems.&nbsp;Key Responsibilities:<ul><li>Data Collection: Gather raw data from multiple data sources, including databases, APIs, and external sources.</li><li>Extract data from various SAP modules such as SAP HANA, SAP BW, SAP ECC, and SAP S/4HANA.</li><li>Utilize tools like SAP Data Services, SAP HANA Smart Data Integration, or custom ABAP programs for data extraction.</li><li>Data Cleaning: Identify and rectify errors, inconsistencies, and missing data to ensure data quality.</li><li>Handle missing, duplicate, and inconsistent data arising from different SAP modules.</li><li>Use SAP Data Services or custom scripts to automate the data cleaning process and ensure data accuracy.</li><li>Data Structuring: Convert raw data into structured formats suitable for analysis, such as tables, databases, or dataframes.</li><li>Data Enrichment: Integrate additional relevant information to enhance datasets and provide more context.</li><li>Data Validation: Conduct rigorous checks to verify the accuracy and integrity of the data.</li><li>Use Data Validation tools within SAP Data Services or custom validation scripts to verify the quality of the transformed data.</li><li>Data Transformation: Normalize, aggregate, and transform data to meet analysis requirements, creating new variables or features as necessary.</li><li>Handle missing, duplicate, and inconsistent data arising from different SAP modules.</li><li>Use SAP Data Services or custom scripts to automate the data cleaning process and ensure data accuracy.</li><li>Data Integration: Integrate SAP data with non-SAP external systems or data sources (e.g., combining SAP transactional data with CRM data).</li><li>Leverage SAP HANA and SAP Data Services to facilitate smooth data integration across multiple platforms.</li><li>Load prepared data into target systems such as SAP BW for reporting, data lakes for big data analysis, or BI tools like SAP BusinessObjects and SAP Analytics Cloud.</li><li>Collaboration: Work closely with data scientists, analysts, and other team members to understand data needs and ensure data availability for analytical projects.</li><li>Documentation: Maintain clear documentation of data wrangling procedures and transformations to ensure reproducibility and transparency.</li><li>Continuous Improvement: Stay updated with data wrangling techniques and tools, and continuously improve data processes.</li></ul>&nbsp;Qualifications:<ul><li>Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.</li><li>Proven experience in data wrangling, data cleaning, and data transformation.</li><li>Preferred experience in SAP Solutions including:<ul><li>SAP Data Services</li><li>SAP HANA</li><li>SAP BW/4HANA</li><li>SAP BusinessObjects</li><li>SAP Cloud Platform Integration</li></ul></li><li>Proficiency in programming languages commonly used for data wrangling, such as Python or R.</li><li>Strong knowledge of SQL for database querying and manipulation.</li><li>Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.</li><li>Excellent problem-solving skills and attention to detail.</li><li>Ability to work both independently and collaboratively in a team environment.</li><li>Strong communication and documentation skills. &nbsp;</li></ul>

Senior IT ERP Business Systems Analyst

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About the Company

NextEra Energy

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