Data science internship jobs in Tuscaloosa, AL - 44 jobs

O'Neal Steel is looking for a Data Analytics Intern for the Summer 2026 semester at our Birmingham, AL corporate office. As our Data Analytics Intern, you will work on various projects relating to our data structures and platforms. Every day, you will work with members of the data team and various business leaders to help solve problems, streamline workflows across multiple platforms, and build dashboards to help visualize processes. You'll also get to visit our warehouse to see some of the machinery in action; this will help you understand the business better and bring the words on paper to real life. You should have a basic understanding of the Microsoft suite of products (Outlook, Excel, Word), proficiency in SQL, familiarity with Python, and have completed coursework in data modeling, data visualization, and ETL frameworks. You must have strong time management skills, the ability to work within a professional environment, a deep sense of curiosity to drive continuous learning, and a desire to produce actual results as this is not a job shadow opportunity. O'Neal Steel has been a leader in the steel distribution business for 105 years, yet we have continued to bring the steel industry into the 21 st century with innovations in technology and automation. When you think of the steel industry, you may think of an outdated, stale environment, but O'Neal Steel brings growth, progress, and change while standing on our legacy and history. Come join us this summer and see where you could make an impact! Candidates should be pursuing a degree in Computer Science, Management Information Systems, Business, or related fields. *Upon offer of employment, candidates must pass a criminal background check and drug test (excludes THC).

O'Neal Steel is looking for a Data Analytics Intern for the Summer 2026 semester at our Birmingham, AL corporate office. As our Data Analytics Intern, you will work on various projects relating to our data structures and platforms. Every day, you will work with members of the data team and various business leaders to help solve problems, streamline workflows across multiple platforms, and build dashboards to help visualize processes. You'll also get to visit our warehouse to see some of the machinery in action; this will help you understand the business better and bring the words on paper to real life. You should have a basic understanding of the Microsoft suite of products (Outlook, Excel, Word), proficiency in SQL, familiarity with Python, and have completed coursework in data modeling, data visualization, and ETL frameworks. You must have strong time management skills, the ability to work within a professional environment, a deep sense of curiosity to drive continuous learning, and a desire to produce actual results as this is not a job shadow opportunity. O'Neal Steel has been a leader in the steel distribution business for 105 years, yet we have continued to bring the steel industry into the 21st century with innovations in technology and automation. When you think of the steel industry, you may think of an outdated, stale environment, but O'Neal Steel brings growth, progress, and change while standing on our legacy and history. Come join us this summer and see where you could make an impact! Candidates should be pursuing a degree in Computer Science, Management Information Systems, Business, or related fields. * Upon offer of employment, candidates must pass a criminal background check and drug test (excludes THC).

Plans, organizes and maintains an efficient operation of the tumor registry. Responsibilities to include: abstracting, registration/data entry, disease indexing and follow-up of patients who meet State Registry and American College of Surgeons inclusion guidelines and criteria. Organize and prepare minutes for Tumor Board Conference and Cancer Committee. Assist with retrieval and analysis of tumor registry data. Prepare reports for Medical Staff, Administration and performance Improvement. Eligible for consideration of remote opportunity after 90 days on site and proficiency level for remote abstracting has been met. Responsibilities Meets productivity and QA standards for abstracting of information from the patient's medical records for demographics, history, procedures, stage and extent of disease and treatment for all reportable disease sites. Reviews all pathology, cytology and daily indices reports to correctly identify cancer cases diagnosed and/or treated at DCH Regional and Northport DCH to build suspense file. Assists in maintaining follow-up rate at the required Commission on Cancer rate as stated in the American College of Surgeons Program Standards 5.3 and 5.4. Prepare and submit eligible cases for Rapid Quality Reporting System as required by the American College of Surgeons Program Standard 5.2. Organize and perform required process for assigned weekly Tumor Board Conferences to include printing of charts, staging and finalization documents for the conference. Take minutes and present quarterly Cancer Committee meeting data as needed. Assist in the timely submission of cases to the State Registry and NCDB as required. Retrieves, analyzes and prepares a variety of special reports and recurring reports in accordance with professional ethics utilizing registry data. Assists with establishing the area's performance improvement activities. DCH Standards: Maintains performance, patient and employee satisfaction and financial standards as outlined in the performance evaluation. Performs compliance requirements as outlined in the Employee Handbook Must adhere to the DCH Behavioral Standards including creating positive relationships with patients/families, coworkers, colleagues, and with self. Requires use of electronic mail, time and attendance software, learning management software and intranet. Must adhere to all DCH Health System Policies and Procedures. All other duties as assigned. Qualifications Oncology Data Analyst must have a CTR certification awarded by the National Cancer Registrar's Association and 1 year (minimum) of experience working within a Tumor Registry. Proven work experience abstracting reportable cancer sites. Must be able to read, write legibly, speak, and comprehend English. Must be detail oriented and have good verbal communication skills. Must have the ability to focus on a variety of tasks for extended periods of time. WORKING CONDITIONS Environmental: Requires the ability to work 8 hours quietly in a cubicle setting with a computer screen, keyboard and mouse. Physical: Sedentary work - Exerting up to 10 pounds of force frequently. Requires sitting most of the time, but may involve walking or standing for brief periods of time. Must have good manual dexterity. Physical presence on-site is essential. Hearing and vision must be normal or corrected to within normal range. Ability to perform all duties with or without reasonable accommodation. Psychological: Must have the ability to communicate verbally and maintain confidentiality. Requires the ability to withstand pressures of constant deadlines, audits, educational demands, and changing healthcare environment. Must be able to multitask and meet deadlines as assigned. Must have the ability to interact with others on a daily basis by phone, computer and in person. Must be able to perform the duties with or without reasonable accommodation. Hearing and vision must be normal or corrected to within normal range. Physical presence onsite is essential. OTHER JOB FACTORS Must have the ability to apply general rules to specific problems to produce answers that make sense. Must have the ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events). Must have the ability to arrange things or actions in a certain order or patterns according to a specific rule or set of rules (e.g., patters of numbers, letters, words, pictures, mathematical operations. The ability to listen to and understand information and ideas presented through spoken words and sentences. The ability to concentrate on a task over a period of time without being distracted.

The Data Analyst is responsible for collecting, cleansing, and interpreting information from complex, large-scale data sets to deliver actionable insights that support business strategy and improve decision-making, efficiency, and profitability. This role involves gathering data from various sources, performing statistical analysis, creating reports and dashboards, and collaborating with cross-functional teams to provide meaningful recommendations. The Data Analyst also develops deep knowledge of the business and industry to enhance data analysis and predictive modeling capabilities that drive strategic initiatives. Minimum Qualifications * Must exhibit a bachelor's degree in Data Analytics, Computer Science, Engineering, Information Technology or Information Systems, or an equivalent degree from an accredited four-year college or university. Proof of degree required. A transcript or diploma would be acceptable and must be provided. * Must exhibit proficient knowledge of statistical methods and tools. * Must exhibit proficient knowledge of databases, data warehouse, data lakes, extracting data using queries, and Extract, Transform, Load (ETL) processes. * Must exhibit excellent reasoning and analytical skills for identifying and resolving problems. * Must exhibit exceptional technical writing skills. * Must exhibit excellent attention to detail and excellent organizational skills. * Must exhibit excellent oral and written communication skills with all levels of the Company (i.e., excellent command of grammar and spelling). Must exhibit the ability to communicate in a courteous, polite, and effective manner, both verbally and in written format. * Must exhibit excellent interpersonal skills and the ability to interact with persons of different socio-economic, cultural, and educational backgrounds. Must exhibit the ability to cooperate well with other individuals and establish and maintain effective working relationships. * Must be physically able to perform the essential functions of the job, with or without reasonable accommodations. * Must be able to work extra hours on weekdays, weekends, and holidays as required to fulfill job duties. * Must exhibit a working knowledge of word processing, spreadsheet, presentation, and database software, such as Word, Excel, PowerPoint, Outlook, etc. * Must possess a valid state issued driver's license. * Must exhibit the ability to develop and maintain professional reports, dashboards, and visualization using various platforms. Preferred Qualifications * Exhibit a master's degree in Statistics, Computer Science, Mathematics, or similar. Proof of degree required. A transcript or diploma would be acceptable and must be provided. * Exhibit experience in statistical analysis, artificial intelligence, and machine learning. * Prior experience with programming languages, such as R, Python, SAS, Java, C++, Excel/VBA. * Prior experience with distributed data/computing tools, such as MapReduce, Hadoop, Hive, Kafka, and MySQL. * Prior experience with cloud-based platforms, such as AWS, Databricks, Fabric, MongoDB, and Snowflake. * Prior experience with business intelligence and data visualization tools such as Power BI. * Must exhibit previous work experience in statistical analysis, artificial intelligence, and machine learning. AMERICAN Benefits * 401(k) Plan * Profit Sharing Bonus Plan * Eagan Center for Wellness * Medical, Dental and Supplemental Vision * Tuition Reimbursement * Paid Vacation and Holidays * Employee Assistance Program About AMERICAN Founded in Birmingham, Alabama in 1905, AMERICAN is a manufacturer of fire hydrants, valves, ductile iron and spiral-welded steel pipe for the waterworks industry, and high-frequency-welded steel pipe for the oil and natural gas industries. AMERICAN's diversified product line also includes fire pumps, structural casing and piling, castings for waterworks products and large machinery, and specialty rubber products. For more than a century, AMERICAN has been committed to doing things The Right Way by applying the Golden Rule in life and in business, always exceeding customer expectations, by empowering and supporting our team members, and by being a good neighbor in our communities. EOE/VETS/DISABILITY

The Business Intelligence Data Analyst designs and develops software-based data modeling and visualizations with Business Intelligence (BI) tools. This role utilizes various analytical and programming skills to develop BI solutions and supports leadership by designing proactive, value-added data models to provide insight into data driven decision-making JOB DUTIES: • Responsible for end-to-end design and maintenance of BI tool data sets, data models, reports, dashboards and visualizations in support of all department functions, • Designs, develops and optimizes data models for the business unit and other departments. • Routinely meets with various stakeholders to understand their data needs. Develops solutions and processes to fulfill requirements. This typically includes BI dashboards, Python programs, or Excel/VBA reports. • Enhances business insights and decision making with robust, intuitive data visualizations. • Leverages transactional data from enterprise resource planning (ERP) applications to extract, transform and model into reporting and analytics solutions. • Coordinates incremental creation and structure of QVD files from disparate data sources. • Identifies the most impactful layout and presentation of key performance metrics in easy to use self-service dashboards. • Partners with the IT team to develop security standards for BI applications and usage of QVD files containing sensitive financial information. • Partners and develops relationships with cross-functional leaders to improve processes and documentation, and recommends changes that lead to the adoption of world class processes. • Proactively seeks out opportunities to increase business knowledge and create visibility within the organization. • Generates new ideas to streamline processes and collaborates with other departments to create operational efficiencies. • Establishes and implements best practices for data modeling & visualization. Ensures data accuracy. • Performs other duties as assigned. EDUCATION & EXPERIENCE: Typically requires a bachelor's degree in information systems and three (3) to five (5) years of related work experience or an equivalent combination. KNOWLEDGE, SKILLS, ABILITIES: • Proficient with Microsoft Office Suite. • Advanced SQL and experience with a variety of relational databases. • Strong analytical skills and the ability to propose positive business solutions. • Reliability, organization and attention to detail. • Excellent written and oral communication, including presentation skills. • Knowledge of database design techniques and advanced SQL skills required. • Proficiency in Python, R, or other statistics platform preferred. • Professional presence with excellent interpersonal skills, including the ability to interact with management at corporate and department levels. • Forward-thinking in implementing tools and techniques to improve analytics, driving better business decisions. Self-motivated and able to independently manage multiple responsibilities concurrently • Ability to collaborate within a team, managing team dynamics and relationships. • Strong partnership skills, across all levels of management, with ability to influence and challenge decisions and processes. • Driver of results, developer and influencer of peers. LICENSES & CERTIFICATIONS: BI tool certification preferred. COMPANY INFORMATION: Motion Industries offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition, reimbursement, vacation, sick, and holiday pay. Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest! GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

Job Description Job Title :: Data Analyst 2 Contract :: 6-Months Skills and Responsibilities · 3-5 Years Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights effectively. · Data Integration and ETL: Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis. · Statistical Analysis: Proficiency in statistical analysis and hypothesis testing to draw · meaningful conclusions from data, as well as the ability to apply machine learning techniques for predictive modeling. Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra ********************************* ***************

Job Responsibilities: Determining organizational goals. Mining data from different sources. Managing master data by creating, updating, cleaning, and trimming data. Grant technical expertise on cleaning, trimming, and storage of data. Analyze and interpret results. Identify trends, correlations, and patterns in complicated data. Present findings and concise data reports which include management of data sources, security, and metadata. Design relational databases and data systems. Work with higher officials and the management teams to set up business and information needs. Come up with new process improvement opportunities. Promoting data integrity and normalization. Pay attention to the confidentiality of the data. Evaluating changes and updates. Job Skills: Bachelor's degree in Computer Science and other related courses. Proven work experience as a data analyst. Good analytical skills. Good interaction with the higher officials and colleagues. Ability to handle large data sets and relational databases. Good communication skills include the ability to speak clearly and be able to communicate complex ideas into an easily understandable form. Critical thinking skills. Great attention to detail for the desired accuracy. Statistical and Mathematical knowledge. Acquaintance with technical tools in the industry.

By joining Sedgwick, you'll be part of something truly meaningful. It's what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there's no limit to what you can achieve. Newsweek Recognizes Sedgwick as America's Greatest Workplaces National Top Companies Certified as a Great Place to Work Fortune Best Workplaces in Financial Services & Insurance Data Analyst Manager **PRIMARY PURPOSE OF THE ROLE:** To manage a staff of data analysts; to develop complex reports and analyze company data including Corporate or client specific data; to serve as a technical resource for company staff on data analysis and benchmarking issues; to meet with clients on such issues as necessary; to provide training and data analysis education for program staff; and to provide technical oversight and guidance to client dedicated analysts located in multiple field offices. **ARE YOU AN IDEAL CANDIDATE?** We are looking for enthusiastic candidates who thrive in a collaborative environment, who are driven to deliver great work, are customer-oriented and are naturally empathetic. **ESSENTIAL RESPONSIBLITIES MAY INCLUDE** + Project Management experience preferred + Manages a staff of data analysts including project assignment and workflow. + Develops comprehensive, complex and accurate information reports including OSHA reporting for a specific client. + Creates complex data reports and provides analysis for forecasting and/or benchmarking used by senior management. + Reports directly to senior management and communicates data findings for forecasting and client needs. + Obtains, analyzes and provides appropriate feedback on company or client specific information needs. + Provides complex data analysis functions to meet client specific, program or company senior management needs. + Serves as a resource for colleagues on data analysis and benchmarking issues. + Provides technical oversight and guidance to client dedicated analysts located in multiple field offices. + Provides training and data analysis education for colleagues. **QUALIFICATIONS** Bachelor's degree with major in Business Administration, Statistics, or Quantitative Analysis from an accredited college or university preferred. Computer Science courses preferred. Eight (8) years of related experience or equivalent combination of education and experience required to include four (4) years business experience in an insurance related field and four (4) years statistical analysis required. Supervisory experience preferred. Skills & Knowledge + Project Management + Knowledge of risk management information systems including utilization and functionality + Excellent oral and written communication, including presentation skills + PC literate, including Microsoft Office products + Analytical and interpretive skills + Strong organizational skills + Strong time management skills + Excellent interpersonal skills + Excellent negotiation skills + Ability to work in a team environment + Ability to meet or exceed Performance Competencies Credit Check required Project Management, SQL, and Python Experience desired. **TAKING CARE OF YOU** + Career development and promotional growth opportunities. + A diverse and comprehensive benefits offering including medical, dental vision, 401k, PTO and more. \#IT \#informationtechnology Work environment requirements for entry-level opportunities include - Physical: Computer keyboarding Auditory/visual: Hearing, vision and talking Mental: Clear and conceptual thinking ability; excellent judgement and discretion; ability to meet deadlines The statements contained in this document are intended to describe the general nature and level of work being performed by a colleague assigned to this description. They are not intended to constitute a comprehensive list of functions, duties, or local variances. Sedgwick retains the discretion to add or to change the duties of the position at any time. Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. **If you're excited about this role but your experience doesn't align perfectly with every qualification in the , consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the** **right candidate for this or other roles.** Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace. **If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.** **Sedgwick is the world's leading risk and claims administration partner, which helps clients thrive by navigating the unexpected. The company's expertise, combined with the most advanced AI-enabled technology available, sets the standard for solutions in claims administration, loss adjusting, benefits administration, and product recall. With over 33,000 colleagues and 10,000 clients across 80 countries, Sedgwick provides unmatched perspective, caring that counts, and solutions for the rapidly changing and complex risk landscape. For more, see** **sedgwick.com**

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on January 31, 2026 Work You'll Do Client Engagement & Solution Scoping + Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. + Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). + Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. + Solution Architecture & Design + Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). + Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). + Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization + Lead model fine-tuning, prompt engineering, and customization for client-specific needs. + Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. + Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management + Manage solution rollout, including cloud setup, configuration, and production deployment. + Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance + Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. + Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication + Prepare executive-level reports, dashboards, and demos to summarize progress and impact. + Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership + Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. + Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: + Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. + 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. + Independent thinker who can create the vision and execute on transforming data into high end client products. + Demonstrated accomplishments in the following areas: + Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). + Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). + Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. + Knowledge of solution architecture, risk assessment, and mapping technology to business goals. + Familiarity with agile methodologies and iterative delivery. + Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available. Preferred: + Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. + Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

COMPANY PROFILE Diversified Gas & Oil Corporation ("DGOC") is a wholly-owned subsidiary of Diversified Energy Company PLC, a US-based company listed on the New York Stock Exchange (NYSE) and London Stock Exchange (LSE) under the ticker symbol "DEC". Diversified Gas & Oil Corporation (DGOC) is an established owner and operator of producing conventional and unconventional natural gas & oil wells and midstream pipelines and compression stations concentrated in the Appalachian Basin in the United States. Headquartered in Birmingham, AL, our field operations are located throughout the Appalachian Basin in the states of Tennessee, Kentucky, Virginia, West Virginia, Ohio, and Pennsylvania. In 2021, Diversified announced our expansion into our Central Regional Focus Area, which includes producing areas within Louisiana, Texas, Oklahoma, and Arkansas. & RESPONSBIBILITIES: The Production Data Analyst (PDA) will work closely with upstream and downstream business groups to ensure timely closeout and complete transfer of required measurement data. Subsequently will perform variety of critical volume processing, balancing, and allocating duties within but not limited to FDC, FlowCal, and Enertia. The PDA will use skills, knowledge and abilities to identify measurement and allocation inaccuracies and applies critical thinking skills to resolve problems and accurate measurement and allocation data. Special focus to be placed on: * Analyst is accountable for daily transactional support of the Measurement and Allocation (MA) process, as well as providing business analyst support to ensure the accurate and complete data capture within the MA process * Key responsibilities include the validation of the production data, data entry to the corporate accounting system (Enertia), reconciliation of data quality and integrity issues, and reporting of key process outputs and measures * Work collaboratively to obtain well/meter data capture from Operations and other sources * Reconcile daily validation and approval of production data into the corporate volume reporting systems, including the resolution of inaccurate/incomplete data * Reconcile the necessary functions to input production data of assigned area assets into the system including the resolution of all upload errors * Reconcile all theoretical and allocations errors of assigned area to allocate an accurate daily and monthly production allocation within Enertia * Verify and ensure the accuracy of all production reporting for the asset that may include the creation of requested reports on a weekly, monthly, quarterly and annual basis POSITION REQUIREMENTS: * Associate Degree from an Accredited College; Previous experience in a related field/industry will be considered in lieu of a degree * Strong analytical skills and strong ability to communicate effectively in both verbal and formal written correspondence * Well-developed math skills including the ability to understand and apply mathematical equations, formulas, fractions, percentages, etc. * Comfort in calculating and computing formulas, quantitative results and challenging anomalous trends. Ability to manage multiple/conflicting priorities and deliver under pressure * Experience with SQL script writing and SQL databases is a plus. * Background in Data, analytics, mathematics, and accounting is a plus * Software: Any previous experience with FlowCal, Enertia, FDC, Power BI Intermediate to advance proficiency levels for Microsoft Applications (Outlook, Excel, Word, Teams, etc.) Physical Requirements and Working Conditions: * Prolonged periods working at a desk in front of a computer. Additional Requirements: * Must be able to lift up to 15 pounds at a time.

Data Scientist - Advanced Metering Infrastructure (AMI) Analytics Alabama Power Company Corporate Headquarters - Birmingham, AL Georgia Power Company Corporate Headquarters - Atlanta, GA Mississippi Power Corporate Headquarters - Gulfport, MS Job Summary: The Data Scientist within APC Power Delivery's AMI Analytics team plays a strategic role in advancing data-driven decision-making and operational efficiency across business units. This position blends analytical depth, technical expertise, and business insight to deliver scalable AI solutions that support AMI initiatives. The successful candidate will lead data science efforts, assess feasibility of advanced analytics use cases, and establish robust frameworks for AI deployment and monitoring within the AMI data domain. Key Responsibilities: AI/ML Strategy & Use Case Development - Identify and evaluate AI/ML opportunities aligned with AMI business objectives. - Stay current on emerging technologies and educate the team on their practical applications. Algorithm Design & Model Optimization - Develop and refine machine learning models to solve complex problems using enterprise-scale data. - Continuously adopt new tools and techniques to enhance model performance and scalability. Framework Development & MLOps Integration - Architect and implement an AMI-specific AI development framework under the AMI Governance Committee. - Integrate MLOps practices for seamless cloud deployment, monitoring, and lifecycle management. - Collaborate with cross-functional teams to provision ETL workflows and CI/CD pipelines. Documentation & Reporting - Produce clear, comprehensive documentation to support transparency, reproducibility, and stakeholder communication. Collaboration & Mentorship - Partner with end-users to understand analytical needs and co-create data-driven solutions. - Mentor team members to foster skill development and promote a culture of continuous learning. Job Requirements: Education & Experience - Master's degree in Computer Science, Mathematics, Statistics, Data Analytics, Data Science, Machine Learning, or Artificial Intelligence. - Minimum 5 years of experience in a technically focused, data-driven environment building supervised and unsupervised Machine Learning models. Knowledge, Skills & Abilities: - Programming & Data Engineering: Proficient in Python and R; working knowledge of Spark, Pandas, T-SQL, and PL-SQL. - Model Development: Skilled in building predictive and prescriptive models, feature engineering, and ML algorithms. - Cloud & Integration: Experience with Azure-based ML deployment, data migration, and integration across diverse datasets. - Generative AI & LLMs: Familiarity with Generative AI and Large Language Models; hands-on experience is a plus. - Debugging & Optimization: Strong analytical skills for monitoring and troubleshooting data pipelines and solutions. - Communication & Influence: Ability to translate technical concepts into actionable business insights and influence decisions across organizational levels. - Consulting & Collaboration: Proven ability to work cross-functionally and deliver strategic recommendations through data storytelling. - Learning & Adaptability: Self-driven learner with awareness of industry trends and emerging technologies. - Multitasking & Prioritization: Capable of managing multiple projects, adapting to shifting priorities, and delivering results in a dynamic environment. Behavioral Attributes: The ideal candidate will embody Southern Company's core behaviors of Unquestionable Trust, Superior Performance, and Total Commitment, and demonstrate: - Innovation and results orientation - Strategic thinking with an enterprise mindset - Commitment to continuous improvement and development of others - Strong partnership-building skills - Ability to work independently and collaboratively - Decisiveness and agility - High ethical standards - Being on-site at the HQ office 4 days a week.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Analyse and identify the linkages and interactions between the component parts of an entire system. * Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. * Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. * Develop skills outside your comfort zone, and encourage others to do the same. * Effectively mentor others. * Use the review of work as an opportunity to deepen the expertise of team members. * Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach * Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps * Structuring, write, communicate and facilitate client presentations; and, * Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

At Jack Henry, we deliver technology solutions that digitally transform and empower community banks and credit unions to provide enhanced, streamlined experiences for their customers and members. Our best-in-class products are just the beginning as we lay the groundwork for the future of digital banking and payments. We hope you'll join us. The Operations Business Analyst Intern will play a key role in ensuring the smooth and accurate execution of core business processes for the EPS Operations team. You'll be the linchpin connecting Sales, Implementation, and Billing, ensuring our critical Remit platform projects move efficiently from contract to revenue. Your work will include reviewing customer contracts, setting up implementation projects, maintaining data integrity within our CRM system, and triaging incoming operational cases. You'll also contribute to special projects focused on improving overall operational efficiency and effectiveness. If you're passionate about process improvement and thrive in an upbeat, supportive atmosphere, this is the role for you! Interns at Jack Henry earn $25.00 per hour and work a full-time schedule of 40 hours per week, Monday through Friday. The Summer 2026 Internship Program will run from June 1 through August 7, 2026. This position is based out of one of our designated hub locations: Charlotte, NC · Allen, TX · Springfield/Monett, MO · Louisville, KY · Cedar Falls, IA · Birmingham, AL What You'll Be Responsible For * Streamlining the Sales-to-Implementation handoff for Remit platform projects, including a meticulous review of executed customer contracts for accuracy and completeness. * Conducting a CRM data audit to ensure implemented Remit products are accurately marked within the Customer Relationship Management system, maintaining data integrity. * Liaising with Implementation and Billing teams to confirm customers are invoiced correctly and promptly once project implementations are complete. What You'll Need to Have * Pursuing a degree in Business Administration, Project Management, or Business Analytics. * Demonstrated foundational knowledge or early experience in relevant areas (e.g., researching and writing reports, documenting processes, project or event execution). * Must be a U.S. citizen and not require sponsorship for employment authorization now or in the future. What Would Be Nice for You to Have * A process-driven mindset with a passion for continuous improvement. * Exceptional communication skills (written and verbal) for clear cross-functional collaboration. * Strong attention to detail and a commitment to data accuracy. * Proven ability to manage changing priorities and work effectively under strict deadlines. Why Jack Henry? At Jack Henry, our culture is built on a simple but powerful motto: "Do the right thing, do whatever it takes, and have fun." This isn't just a tagline-it's the foundation of how we work, collaborate, and grow together. As an intern, you'll have the opportunity to launch your career in a meaningful way. Our 10-week summer internship program* offers hands-on experience with real projects that align with our business priorities and shape the future of financial technology. You'll work alongside innovative teams, gain exposure to executive leadership, and receive mentorship designed to support your personal and professional development. From strategic insights to impactful solutions, your contributions will matter-and you'll be part of a company that values integrity, curiosity, and connection. Culture of Commitment Ask our associates why they love Jack Henry, and many will tell you it's because our culture is exceptional. We do great things together. Our culture empowers us to rise to challenges, seek new opportunities, and support one another through change. It's this shared commitment that drives our success. We're proud to foster an environment where inclusion, sustainability, and community impact are more than values-they're how we operate. Visit our Corporate Sustainability site to learn more about our culture and commitment to our people, customers, community, environment, and shareholders. Equal Employment Opportunity At Jack Henry, we know we are better together. We value, respect, and protect the uniqueness each of us brings. Innovation flourishes by including all voices and makes our business-and our society-stronger. Jack Henry is an equal opportunity employer and is committed to providing equal opportunity in all employment practices, including selection, hiring, performance management, promotion, transfer, compensation, benefits, education, training, social, and recreational activities. We welcome all persons regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, genetic information, pregnancy, marital status, sex, gender, gender identity, gender expression, age, sexual orientation, and military or veteran status, or any other status protected by local, state, or federal law. No one will be subject to-and Jack Henry prohibits-any form of discipline, reprisal, intimidation, or retaliation for good faith reports or complaints of discrimination, pursuing any discrimination claim, or cooperating in related investigations. Requests for full corporate job descriptions may be made during the interview process at any time.

The purpose of this classification is to perform technical and analytical work functions associated with identifying, capturing, analyzing, and interpreting enterprise data across all city departments that contribute to better data-driven systems for decision-making, open government operations, cost reduction measures, quality of service improvements, and greater digitization, automation and planning. Employees in this classification serve as a resource to departments in the planning, development, and control of data systems, data analysis, and statistical and data reporting. Essential Functions The following duties are normal for this classification. The omission of specific duties does not exclude them from the classification if the work is similar, related, or a logical assignment for this classification. Other duties may be required and assigned. Specific duties listed may not be required for all positions within this classification, but are determined by the normal requirements for the particular position. Develops and implements custom data capturing and analyzing programs; performs statistical analysis to include designing and producing numerical and descriptive information and reports for program reviews, departmental operations assessments, and activity efficiency and effectiveness. Provides customer service and expert guidance to educate and advise city personnel on issues related but not limited to data creation, collection, and maintenance and formulation of data resources and systems. Prepares analytical reports, summaries, and policy analyses as requested. Independently creates, analyzes, modifies, and maintains data systems; monitors and assures quality of data; audits data systems and works with departments to correct errors and future problems. Works closely with departments to gather requirements for key performance indicators and identify corresponding data sets and calculations needed. Provides and fulfills requests for ad-hoc reports and analysis; performs data mining and analysis in order to extract and identify key trends and insights. Reviews and validates data for accuracy; conducts research for data and reporting issues as required; performs cleansing of data to ensure sources are accurate for analysis and reporting. Identifies opportunities to increase data quality to include automation and data entry procedural training. Extracts and manages multiple sets of data from various databases and sources to bring together data from several areas for comparative analysis and reporting. Designs reporting dashboards to translate data to an understandable illustrative format. Documents all data management procedures and specifications; prepares and distributes correspondence, memoranda, and reports. Trains as necessary on analytics platforms to enable self-service reporting by departments; serves as a subject matter expert and administrator for business intelligence tools. Answers the telephone; provides information, guidance and assistance; takes and relays messages and/or directs calls to appropriate personnel; responds to questions, problems, and requests for information/assistance from employees, officials or other persons. Communicates with supervisor, co-workers, users, departments, vendors, and outside agencies to discuss work in progress, exchange information, resolve problems, provide operational support, and project management. Understands the functions, procedures, and workflow of city departments as they relate to the collection and analyzing of data. Maintains knowledge of operating systems and platforms and software programs to operate a computer in an efficient and effective manner. Maintains an awareness of new products, trends, and advances in the profession; reads professional literature; attends workshops, conferences, and training sessions. Must possess and maintain strong analytical, mathematical, and critical thinking skills with attention to detail and organization. Must possess and maintain a foundational understanding of statistical analysis and reporting. Must possess and maintain working knowledge of Extraction, Translate & Load (ETL) Tools and experience using such tools to manipulate data sets. Must have experience with relational databases and a working knowledge of Structured Query Language (SQL) to query and manipulate data. Must have demonstrated abilities to understand and address client data requests and to use reporting tools to provide desired information. Must have experience with scripting tools such as Visual Basic/VBScript, Python, JavaScript, Perl, PHP. Must have experience with search and analysis tools such as ElasticSearch, Kibana, Logstash, ELK Stack, Google Analytics, etc. Must have experience utilizing Application Programming Interfaces (API's). Must have the ability to understand and utilize geospatial data. Must possess and maintain knowledge of business intelligence and data visualization tools and quality control, analytic and reporting software systems. Recommends policies and procedures that guide and support the provision of quality services by the department. Incorporates continuous quality improvement principles in day to day activities. Must accomplish the essential functions of the job, with or without reasonable accommodations, in a timely manner. Must meet regular attendance requirements. Must be able to maintain good interpersonal relationships with staff, co-workers, managers and citizens. Performs other related duties as required. Minimum Qualifications Bachelor's degree in Statistics, Mathematics, Computer Science, Management Information Systems, or related field required; two years of experience in business intelligence, statistical operations and analysis, database management, data analysis, data system design, or related field; or any equivalent combination of education, training, and experience which provides the requisite knowledge, skills, and abilities for this job. Must possess and maintain a valid driver's license. Minimum Requirements to Perform Essential Job Functions The following requirements are normal for this classification. Specific requirements may not apply to all positions within this classification, but are determined by the normal requirements for the particular position. PHYSICAL REQUIREMENTS: Must be able to operate a variety of equipment, machinery and tools which may include a personal computer, terminal, terminal server, printer, tape/disk drives, uninterruptable power source, optical disk reader, scanner, modem, copy machine, facsimile machine, calculator, telephone, data scope, volt ohmmeter, crimper, wire cutter, etc. Physical demand requirements are at levels of those for light work. DATA COMPREHENSION: Requires the ability to compare and/or judge the readily observable functional, structural, or compositional characteristics (whether similar to or divergent from obvious standards) of data, people, or things which may include forms, reports, logs, catalogs, flow charts, technical manuals, operational manuals, policy manuals, procedural manuals, and reference materials. INTERPERSONAL COMMUNICATION: Requires the ability to speak with and/or signal people to convey or exchange technical information, including giving/receiving assignments and/or directions to/from co-workers, assistants, managers, or supervisors as well as communicating with elected officials and the general public. LANGUAGE ABILITY: Requires ability to read a variety of technical documentation, directions, instructions, and methods and procedures. Requires the ability to write job related documentation and reports with proper format, punctuation, spelling and grammar, using all parts of speech. Requires the ability to speak with and before others with poise, voice control, and confidence using correct English and well-modulated voice such as in public speaking situations. INTELLIGENCE: Requires the ability to learn and understand complex computer programming/operation principles and techniques, to understand departmental policies and procedures, to make independent judgments in absence of supervision, and to acquire and be able to expound on knowledge of topics related to primary occupation. VERBAL APTITUDE: Requires the ability to record and deliver information, such as in a public speaking situation, to explain procedures, and to follow verbal and written instructions. NUMERICAL APTITUDE: Requires the ability to add and subtract, multiply and divide, calculate decimals and percentages, determine time and weight, perform college level algebra, perform high school level trigonometry, perform statistical calculations, and perform Boolean algebra. FORM/SPATIAL APTITUDE: Requires the ability to visually inspect items for proper length, width, and shape using job related equipment. MOTOR COORDINATION: Requires the ability to coordinate hands and eyes in using job related equipment. MANUAL DEXTERITY: Requires the ability to handle a variety of items, computer equipment, control knobs, switches, etc. Must have the ability to use one hand for twisting motion or turning motion while coordinating other hand with different activities. Must have minimal levels of eye/hand/foot coordination. COLOR DIFFERENTIATION: May require the ability to discern color. INTERPERSONAL TEMPERAMENT: Requires the ability to deal with and relate to people beyond giving and receiving instructions. Must be able to adapt to and perform under considerable stress when confronted with an emergency. PHYSICAL COMMUNICATION: Requires the ability to talk, express, or exchange ideas by means of spoken words and/or hear and perceive nature of sounds by ear.

In collaboration with the data analytics team and under the direction of the Chief Member Experience Officer, the Data Analyst will create dynamic, interactive and intuitive business intelligence reports, dashboards and visualizations to support business decisions, and assure the accuracy and integrity of data. This position can be remote. Requirements Experience: Three to five years of similar or related experience Education: (1) A bachelor's degree, or (2) achievement of formal certifications recognized in the industry as equivalent to a bachelor's degree (e.g., information technology certifications in lieu of degree) Other Skills General Knowledge and Skills: Ability to write effectively in English using correct spelling and grammar, including reports, business correspondence, and procedure manuals Ability to learn quickly and adapt to change Excellent oral and written communication skills Ability to work effectively with others Problem- solving and problem resolution skills Strong listening skills and the ability to comprehend member, co-worker, and senior leadership team needs Technical: Working knowledge of programming languages such as SQL or R/and or python to develop ad-hoc tools and queries/reports. Demonstrated knowledge of automated data analysis tools and techniques Ability to create effective presentations using software Working knowledge of bank technology platforms (Advanced knowledge of Spectrum) BranchSuite, Prism, and LoansPQ preferred Working knowledge of data visualization tools such as Tableau, Power BI or equivalent is required Leadership: Works well with others and ensures understanding by others of technical terms, jargon, and work scope. Ability to effectively communicate and present technical results and their business impact. Ability to comprehend and apply rules and guidelines appropriately within position. Physical Requirements: This position requires the ability to see, hear, balance, and use fine motor coordination for the purposes of communicating with members, co-workers, and outside entities using business machines, and conducting basic office-environment work functions such as filing. Must be able to travel independently, sometimes overnight. Salary Description Min: $27.65 Mid: $34.56 Max: $41.47

Plans, organizes and maintains an efficient operation of the tumor registry. Responsibilities to include: abstracting, registration/data entry, disease indexing and follow-up of patients who meet State Registry and American College of Surgeons inclusion guidelines and criteria. Organize and prepare minutes for Tumor Board Conference and Cancer Committee. Assist with retrieval and analysis of tumor registry data. Prepare reports for Medical Staff, Administration and performance Improvement. Eligible for consideration of remote opportunity after 90 days on site and proficiency level for remote abstracting has been met. Responsibilities Meets productivity and QA standards for abstracting of information from the patient's medical records for demographics, history, procedures, stage and extent of disease and treatment for all reportable disease sites. Reviews all pathology, cytology and daily indices reports to correctly identify cancer cases diagnosed and/or treated at DCH Regional and Northport DCH to build suspense file. Assists in maintaining follow-up rate at the required Commission on Cancer rate as stated in the American College of Surgeons Program Standards 5.3 and 5.4. Prepare and submit eligible cases for Rapid Quality Reporting System as required by the American College of Surgeons Program Standard 5.2. Organize and perform required process for assigned weekly Tumor Board Conferences to include printing of charts, staging and finalization documents for the conference. Take minutes and present quarterly Cancer Committee meeting data as needed. Assist in the timely submission of cases to the State Registry and NCDB as required. Retrieves, analyzes and prepares a variety of special reports and recurring reports in accordance with professional ethics utilizing registry data. Assists with establishing the area's performance improvement activities. DCH Standards: Maintains performance, patient and employee satisfaction and financial standards as outlined in the performance evaluation. Performs compliance requirements as outlined in the Employee Handbook Must adhere to the DCH Behavioral Standards including creating positive relationships with patients/families, coworkers, colleagues, and with self. Requires use of electronic mail, time and attendance software, learning management software and intranet. Must adhere to all DCH Health System Policies and Procedures. All other duties as assigned. Qualifications Oncology Data Analyst must have a CTR certification awarded by the National Cancer Registrar's Association and 1 year (minimum) of experience working within a Tumor Registry. Proven work experience abstracting reportable cancer sites. Must be able to read, write legibly, speak, and comprehend English. Must be detail oriented and have good verbal communication skills. Must have the ability to focus on a variety of tasks for extended periods of time. WORKING CONDITIONS Environmental: Requires the ability to work 8 hours quietly in a cubicle setting with a computer screen, keyboard and mouse. Physical: Sedentary work - Exerting up to 10 pounds of force frequently. Requires sitting most of the time, but may involve walking or standing for brief periods of time. Must have good manual dexterity. Physical presence on-site is essential. Hearing and vision must be normal or corrected to within normal range. Ability to perform all duties with or without reasonable accommodation. Psychological: Must have the ability to communicate verbally and maintain confidentiality. Requires the ability to withstand pressures of constant deadlines, audits, educational demands, and changing healthcare environment. Must be able to multitask and meet deadlines as assigned. Must have the ability to interact with others on a daily basis by phone, computer and in person. Must be able to perform the duties with or without reasonable accommodation. Hearing and vision must be normal or corrected to within normal range. Physical presence onsite is essential. OTHER JOB FACTORS Must have the ability to apply general rules to specific problems to produce answers that make sense. Must have the ability to combine pieces of information to form general rules or conclusions (includes finding a relationship among seemingly unrelated events). Must have the ability to arrange things or actions in a certain order or patterns according to a specific rule or set of rules (e.g., patters of numbers, letters, words, pictures, mathematical operations. The ability to listen to and understand information and ideas presented through spoken words and sentences. The ability to concentrate on a task over a period of time without being distracted.

Provides technical expertise and supports activities related to data architecture for reporting services, and design expertise in data warehouses, data marts, and business intelligence enterprise reporting. Works with large and moderately complex data sets to evaluate, recommend, and support the implementation of business strategies. Identifies and compiles data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes. Develops tools and processes to maintain a common, firm-wide data standard. Implements norms for creation and maintenance of common data dictionaries. Supports and maintains strategies to reduce data redundancy, increasing the consistency, quality, and confidence of data used for decision making. Works closely with team members on the daily execution of deliverables and assists less experienced team members as needed. Job Duties and Responsibilities * Provides technical expertise and supports activities related to data architecture for reporting services, and design expertise in data warehouses, data marts, and business intelligence enterprise reporting. Identifies ways to increase the use of business intelligence within the firm, designing end-to-end business intelligence solutions that provide insights and information for key decision-makers. * Ensures alignment with Synovus business architecture and strategy. Participates in and supports new business intelligence initiatives related to supported business area. Participates in meetings with managers and subject matter experts to define and gather requirements and overall objectives. * Works cross functionally with varying data owners across the organization to support the implementation of processes and procedures to ensure that governance, stewardship, transparency and control of Synovus data assets is maintained at all times. * Participates in testing of appropriate toolsets for data governance processes. Builds an enterprise data asset map and data dictionary. Works with Engineering to establish gating, data utilization policies, and external agency guidelines. * Executes system testing. Participates in the analysis and reconciliation of data and reporting projects and initiatives delivery. Maintains and reports all relevant product, site and customer metrics and applies findings to develop appropriate goals and projections. Creates documentation on data requests as they are fulfilled to include validation, testing and user acceptance. * Identifies opportunities for Master Data Management to standardize data definitions. Implements accurate and complete metadata. Identifies and exploits opportunities for enhanced Business Intelligence that align with the company's business architecture and strategy * Serves as a liaison between internal business customers and Information Technology on tactical projects building a close working relationship with all partners. Participates in new business intelligence initiatives related to the supported business area. Participates in meetings with managers and other subject matter experts to define and gather requirements and objectives. * Each team member is expected to be aware of risk within their functional area. This includes observing all policies, procedures, laws, regulations and risk limits specific to their role. Additionally, they should raise and report known or suspected violations to the appropriate Company authority in a timely fashion. * Performs other related duties as required. The information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. Synovus is an Equal Opportunity Employer committed to fostering an inclusive work environment. Minimum Education: * Bachelor's degree in computer science, information systems, or a related field or an equivalent combination of education and experience. Minimum Experience: * Five years of experience in Information technology including collecting business requirements related to usage of data, performing data mapping and conducting data quality assessments and developing, utilizing and writing new automation. Required Knowledge, Skills, & Abilities: * Understanding of reporting and/or visualization tools (e.g., Tableau, SSRS, SQL Server) * Knowledge of a variety of technologies, data models, and insights across all relevant data sources * Understanding of Governance principles * Understands concepts like data mining, extraction and analysis as it pertains to a specific bank pillar (e.g., Commercial, Retail, Wealth) * Analytical and critical thinking skills * Ability to quickly shift between technology stacks * Ability to mentor and train team members * Strong verbal and written communication skills Preferred Knowledge, Skills, & Abilities * Experience in one or more Synovus lines-of-business * Experience in the banking/financial services industry * Data Governance Expertise * Knowledge of data governance frameworks (e.g., DAMA-DMBOK). * Experience with data quality management (accuracy, completeness, timeliness). * Familiarity with metadata management and data lineage tools (Collibra, Informatica, Alation). Regulatory Reporting Knowledge * Understanding of Category 4 LFI requirements (FR Y-9C, FFIEC, Basel principles). * Ability to map data to regulatory reporting schemas. * Awareness of data privacy and compliance standards (GDPR, GLBA). Technical Skills * SQL proficiency for data validation and extraction. * Experience with data platforms (Databricks, Snowflake, or similar). * Knowledge of ETL/ELT processes and pipeline development. Risk & Controls * Ability to design and monitor data controls for regulatory compliance. * Familiarity with audit and exam processes for financial institutions. Communication & Collaboration * Strong ability to translate technical concepts into business language. * Experience working with cross-functional teams (Risk, Finance, IT). #LI-SR1

The Product Information Management (PIM) Data Analyst is responsible for managing and enhancing the quality of product data within the organization's PIM system. This role executes a structured approach to the collection, creation, maintenance and distribution of master product data through product information management. This role is responsible for the integrity of the organization's master product data systems. JOB DUTIES Creates, inputs, reviews, approves and distributes product master data using various tools and workflows. Works with vendors and third parties to collect and update data. Manages data requests in support of business processes, new product sales initiatives, and mergers and acquisitions. Drives excellence and ensures continuous improvement in quality of data through cleansing and best practices for data construction. Provides input into the development of PIM data collection templates and workflows. Works collaboratively as a data steward within teams to ensure clear understanding of business requirements that are managed in concert with PIM data. Identifies opportunities to gain efficiencies, automate, and improve data quality. Partners with cross functional stakeholders to support business needs. Ensures data output feeds are successful, troubleshooting and/or updating as required. Performs other duties as assigned. EDUCATION & EXPERIENCE Typically requires a bachelor's degree in business, operations, marketing or a related field and zero (0) to two (2) years of related experience or an equivalent combination. KNOWLEDGE, SKILLS, ABILITIES Ability to work in a team environment. Strong Microsoft Office skills (Word, Excel, PowerPoint, Outlook). Excellent written, verbal, and interpersonal communication skills. Desire to understand how things work and provide ideas for improvement. Strong analytical problem solving skills. Knowledge of workflow management techniques such as Lean Six Sigma, Kanban, etc. Experience with product information management tools (Stibo, Salsify, in River, Oracle, etc). Experience with data BI tools (Tableau, Power BI, Qlik, etc.). Positive attitude. PHYSICAL DEMANDS: LICENSES & CERTIFICATIONS: None required. SUPERVISORY RESPONSIBILITY: No Supervisory Responsibility BUDGET RESPONSIBILITY: No COMPANY INFORMATION: Motion Industries offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition, reimbursement, vacation, sick, and holiday pay DISCLAIMER: This job description illustrates the general nature and level of work performed by employees within this job classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and skills required. Management retains the right to add or modify duties at any time. Not the right fit? Let us know you're interested in a future opportunity by joining our Talent Community on jobs.genpt.com or create an account to set up email alerts as new job postings become available that meet your interest! GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic. GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

Data Scientist 3 Client- Alabama Power Contract- 1 Year We are seeking an experienced Data Scientist (Level 3) with 5-10 years of advanced data analytics experience to join our team. This role requires a strong foundation in statistics, machine learning, and data engineering. The successful candidate will leverage big data tools, programming expertise, and statistical modeling to develop insights and support critical decision-making in the utilities industry. Key Responsibilities Data Wrangling & Exploration Acquire, clean, and process large, complex datasets from multiple sources, including smart meters, grid sensors, customer systems, and financial platforms. Explore data for anomalies, trends, and correlations to support operational, engineering, and business use cases. Model Development Build, validate, and deploy machine learning and statistical models for applications such as predictive maintenance, outage prediction, customer load forecasting, and energy demand analysis. Evaluate and apply appropriate ML algorithms including regression, classification, clustering, and time-series forecasting. Visualization & Reporting Develop intuitive data visualizations and dashboards using tools like Power BI, Tableau, or Python libraries (Matplotlib, Seaborn, Plotly). Translate complex results into clear business insights for engineering, operations, and leadership teams. Big Data & Advanced Analytics Utilize big data frameworks such as Spark, Hadoop, or Databricks to process and analyze large-scale structured and unstructured datasets. Support integration of analytics into operational systems, ensuring scalability and performance. Collaboration Partner with cross-functional stakeholders in grid operations, transmission, distribution, and customer solutions to identify high-value data science opportunities. Work closely with data engineers, business analysts, and domain experts to align models with business and regulatory needs. Experience: 5-10 years of applied data science experience in an enterprise setting. Proven success in designing, deploying, and scaling advanced analytics models. Utilities or energy-sector experience strongly preferred (e.g., transmission, distribution, smart grid, AMI/MDM, renewable integration). Technical Skills: Proficient in Python or R (statistical programming). Strong statistical knowledge and experience applying the scientific method. Hands-on experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch). Skilled in SQL and database querying. Experience with big data tools (Spark, Hadoop, Databricks) is highly desirable. Familiarity with cloud platforms (Azure, AWS, or GCP). Soft Skills: Strong problem-solving and analytical abilities. Ability to present technical findings to non-technical stakeholders. Self-motivated, with capacity to work independently and collaboratively. Work Environment Hybrid work arrangement with periodic travel to company sites, data centers, or field locations. Must be able to balance multiple concurrent projects in a fast-paced, results-driven environment.