Data analyst jobs in Georgia - 2,960 jobs

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision‑making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision‑making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high‑performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross‑functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in at least one key financial services domain (e.g., credit/lending, fraud/risk modeling, or customer growth/engagement). Technical Fluency: Expert‑level proficiency in Python and its scientific computing stack (Pandas, Scikit‑learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real‑world datasets. Data Ecosystem Experience: Hands‑on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast‑paced environment, attract high‑quality talent, and drive a data‑informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US‑based roles based on function, level, and geographic location, benchmarked against similar‑stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all‑digital, mission‑driven, FDIC‑insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer‑first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - ********************************** Instagram - ************************** LinkedIn - ***************************************** Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e‑mail ********************* with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: **************************************** #J-18808-Ljbffr

We are looking for a Data Scientist with expertise in optimization and forecasting to help improve how we manage labor, staffing, and operational resources across our retail locations. This role is critical in building models and decision-support tools that ensure the right people, in the right place, at the right time - balancing customer service, efficiency, and cost. You will work closely with Operations, Finance, and Store Leadership teams to deliver practical solutions that improve labor planning, scheduling, and demand forecasting. The right candidate will be confident, resourceful, and excited to own both the technical and business-facing aspects of applying data science in a fast-paced retail environment. Responsibilities Build and maintain forecasting models (time-series, machine learning, and statistical) for sales and transactions. Develop and deploy optimization models (linear/mixed-integer programming, heuristics, simulation) to improve workforce scheduling and labor allocation. Partner with operations and finance to translate forecasts into actionable staffing and labor plans that reduce costs while maintaining service levels. Build dashboards and automated tools to track forecast accuracy, labor KPIs, and staffing effectiveness. Provide insights and “what-if” scenario modeling to support strategic workforce and budget planning. Knowledge, Skills, And Abilities Strong foundation in forecasting techniques (time-series models, regression, machine learning) and optimization methods (linear/mixed-integer programming, heuristics, simulation). Proficiency in Python or R for modeling and analysis, along with strong SQL skills for working with large-scale datasets. Knowledge of statistics, probability, and applied mathematics to support predictive and prescriptive modeling. Experience building and deploying predictive models, optimization tools, and decision-support solutions that drive measurable business outcomes. Strong data storytelling and visualization skills using tools such as Power BI, Tableau, or Looker. Ability to translate analytical outputs into clear, actionable recommendations for non-technical stakeholders. Strong collaboration skills with the ability to partner cross-functionally with Operations, Finance, and Store Leadership to drive adoption of data-driven approaches. Ability to work independently and resourcefully, combining technical depth with practical problem-solving to deliver results in a fast-paced environment. Education And Requirements Required: Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Industrial Engineering, Operations Research, or related field. Minimum 2-3 years of professional experience in Data Science or a related area. Strong skills in time-series forecasting (e.g., ARIMA, Prophet, ML-based approaches). Proficiency in optimization techniques (linear programming, integer programming). Strong Python or R programming skills. SQL expertise for large, complex datasets. Strong communication skills with the ability to partner with business stakeholders. Preferred Experience in Retail, Restaurant, and/or Convenience Stores a plus. Experience with cloud platforms (Snowflake, AWS, GCP, Azure). Knowledge of BI tools (Tableau, Power BI, Looker). Physical Requirements Prolonged periods sitting/standing at a desk and working on a computer Must be able to lift up to 50 pounds Parker's is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Parker's does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state, or local laws.

Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance‑driven individuals a place where they can build a career --- a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice. At Regions, the Principal Data Scientist is a visionary and hands‑on practitioner that supports the Data Science team by deepening technical bench strength across Machine Learning (ML), MLOps and GenAI. This position will drive the development of scalable, efficient, and reliable data‑science capabilities that elevate the entire team's productivity and impact. This includes advancing model lifecycle management, establishing best‑in‑class practices, designing ML pipelines, and guiding the adoption of emerging technologies like Large Language Models (LLMs) and Generative‑AI. The candidate should have comprehensive knowledge of end‑to‑end data science modeling lifecycles and strong track record of successfully delivering complex data science projects. Primary Responsibilities Develops and leads execution of the research roadmaps for advanced AI Capabilities such as LLM, GenAI, Retrieval‑Augmented Generation(RAG), Agents and Computer Vision etc. Stays at the cutting edge of ML/AI literature and practices Periodically evaluates the design of existing modeling and MLOps and identifies opportunities for improvement Serve as a technical Subject Matter Expert (SME) on modeling techniques, feature engineering, pipeline orchestration, performance optimization and testing Partners with other data scientists, engineers and product teams to define technical standards, influence solution‑design decisions, and raise the bar on solution quality Champions MLOps excellence across the team, including CI/CD for ML, automated testing, monitoring, model versioning and rollback strategies Designs and promotes implementation of reusable codes, tools and frameworks for model development, training, deployment, monitoring and governance Drives complex, high‑impact modeling projects from ideation to production, especially where advanced techniques (e.g. NLP, GenAI, LLMs) can drive strong business value Leverages statistical analysis, machine learning (ML) and deep learning (DL) techniques, collaborating with various lines of businesses to design data products that enhance profitability, mitigate risks, and drive customer engagement across all touchpoints Leverages cloud‑based analytical platforms to build data analytics solutions Extracts actionable insights from data to support data‑driven decision‑making processes Collaborates with risk management and compliance teams to ensure compliance with internal and external regulatory requirements Fosters a culture of innovation and continuous improvement within the team This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay. This position is incentive eligible. Requirements PhD degree in a quantitative or analytical field such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and our (4) years of relevant experience Or Master's degree in a quantitative or analytical field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and six (6) years of relevant experience Or Bachelor's degree in a quantitative or analytical field, such as Statistics, Mathematics, Physics, Computer Science, Engineering, or a related discipline and eight (8) years of relevant experience Eight (8) years of experience in Machine Learning, with experience in GenAI, LLMs and frameworks such as Hugging Face Transformers and LangChain. Eight (8) years of programming experience in Python, PySpark, SQL and modern ML Libraries (e.g. Scikit‑learn, TensorFlow, PyTorch) Six (6) years of hands‑on experience with Big Data tools and platforms such as Hadoop, Spark, Hive, MLFlow or Kafka Six (6) years of hands‑on experience with cloud‑based analytics platforms such as Amazon Web Services (AWS) SageMaker, Azure Machine Learning Studio, Google Cloud AI Platform, Snowflake or Databricks Preferences Five (5) years of experience in Agile Software Development Lifecycle Five (5) years of experience influencing, guiding, or providing technical direction to other data scientists or cross‑functional team members. Background in banking and/or other financial services Experience in RAG and integrating frontier models such as LangChain, llama Index, Anthropic, Bedrock, GPT, or Ollama Experience with Docker/Kubernetes Hands‑on experience with techniques for text parsing, sentiment analysis, and the use of generative models such as Generative Pre‑trained Transformer (GPT), Variational Autoencoders (VAE), and Generative Adversarial Networks (GANs) Skills and Competencies Ability to continue research and learn new systems as needed Ability to partner with stakeholders to identify business challenges and design solutions Ability to research, analyze data, and derive facts Ability to work under pressure and meet deadlines Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, or recommendation and optimization algorithms Experience delivering and scaling models in production Experience planning, managing, and delivering data science projects, including risk identification and mitigation Strong verbal, written communication, and organizational skills Strong work ethic and self‑motivation This position is intended to be onsite, now or in the near future. Associates will have regular work hours, including full days in the office three or more days a week. The manager will set the work schedule for this position, including in‑office expectations. Regions will not provide relocation assistance for this position, and relocation would be at your expense. The locations available for this role are Birmingham, AL, Atlanta, GA or Charlotte, NC. Regions will not sponsor applicants for work visas for this position at this time. Applicants for this position must currently be authorized to work in the United States on a full‑time basis. Compensation Details Pay ranges are job specific and are provided as a point‑of‑market reference for compensation decisions. Other factors which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job. The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position. Job Range Target: Minimum: $144,158.30 USD 50th Percentile: $191,230.00 USD Incentive Pay Plans: This role is eligible to participate in the annual discretionary incentive plan. Employees are eligible to receive a discretionary award based on individual, business, and/or company performance. Opportunity to participate in the Long Term Incentive Plan. Location: Atlanta, Georgia Equal Opportunity Employer/including Disabled/Veterans Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher‑volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company. #J-18808-Ljbffr

Job Title: FP&A Analyst / Senior Analyst Report To: Vice President, Strategic Finance FLSA Status: Exempt We are seeking a dynamic and experienced FP&A Senior Analyst to join our finance team at a private equity-backed company experiencing record demand and rapid capacity expansion. Reporting to the Vice President, Strategic Finance, the position offers significant visibility to executive leadership, the Board, our private equity sponsor, and lenders. The ideal candidate will excel in building robust financial models, delivering actionable insights, and managing recurring reporting processes that directly support both day-to-day operations and long-term strategic decision-making. This is a unique opportunity to gain PE portfolio company experience in a fast-paced, entrepreneurial environment. Key Responsibilities The core responsibilities of this role include: Budgeting and forecasting: Participate in the development of annual budgets, quarterly forecasts, and long-range financial plans, ensuring alignment with organizational goals and incorporating historical data, trends, and business drivers. Sponsor & lender reporting: Prepare monthly reporting packages for the private equity sponsor, support quarterly Board presentations, and manage lender reporting requirements including covenant calculations and compliance schedules. Develop and maintain financial models: Build sophisticated models for scenario analysis, ROI evaluations, investment opportunities, and variance analysis to forecast financial performance and identify risks/opportunities. Conduct in-depth financial analysis: Analyze financial data, performance metrics, and KPIs to provide insights on manufacturing performance, revenue drivers, and operational efficiencies, including variance analysis and commentary on business trends. Prepare and present reports: Generate daily/monthly/quarterly management reports, dashboards, and ad-hoc analyses to support executive decision-making and strategic planning. Collaborate across teams: Partner with cross-functional departments, executive leadership, and business units to gather financial inputs, evaluate initiatives, and drive performance improvements. Monitor performance and risks: Track key financial metrics, identify emerging trends or issues, and recommend solutions to optimize assets, investments, and cost-saving opportunities. Drive process improvements: Evaluate and implement enhancements to FP&A tools, systems, and methodologies to increase efficiency and accuracy. Qualifications Bachelor's degree in Finance, Accounting, or a related field (Master's or CFA/CPA preferred). 3-7+ years of progressive experience in FP&A, financial analysis, or related roles. Proven track record in a fast-paced environment. Required Skills Advanced proficiency in Microsoft Excel and BI tools (e.g., Tableau, Power BI, or similar). Strong analytical and problem-solving abilities, with attention to detail. Excellent communication and presentation skills for conveying complex financial information to non-financial stakeholders. Leadership and collaboration skills to manage projects and work cross-functionally. Ability to multitask in a dynamic setting and adapt to changing priorities.

Full Time/Perm Opportunity Marietta, GA Hybrid Work Schedule: 4 days onsite / 1 days remote Are you in search of a new career opportunity with one of Georgia's largest not-for-profit healthcare organizations? Would joining a team that focuses on the support and well-being of their clinical workforce also be of interest? We are in search of an Analyst who can help manage the data extraction, tracking, and reporting of key indicators that support the overall health and well-being of the clinical workforce including physicians, nurses, practice providers and beyond. This Analyst will work across multiple teams including clinical and operational leaders, SME's, Data & Insights Teams, and IT to ensure the overall success of the Clinician Well-being program. Specific Areas of focus will include: Analytics & Visualization Development Extracts data from a variety of sources, including Epic, Epic Signal, internal platforms, etc. Extracts data using methodology that ensures accuracy and alignment with specified project aims and ensure Analyzes multi-source data trends and uses data to identify potentially at-risk clinicians, groups of clinicians, etc. Works directly with stakeholders to understand the business requirements for information needs Selects the most appropriate visualization tool and delivery mechanism for requests Designs, develops, documents and distributes the selected visualization while working with stakeholder guidelines Planning & Process Acts as a liaison with stakeholders to communicate data structure or metric needs for appropriate data model build, including IT responsible for data warehousing Develops a working knowledge of the lineage, meta-data, and overall meaning of data being analyzed Identifies and sources (where possible), data quality issues impacting analyses and brings issues to leadership and other appropriate individuals attention Understands benchmarking and comparative analysis techniques and interpretation Develops an excellent understanding of data transformed, managed, and reported specifically by the EI team (e.g., cost accounting, operational benchmarking, quality benchmarking, patient satisfaction, etc.) Participates in the planning process of new initiatives/projects to identify data needs Develops and standardizes processes to conduct thorough needs assessments Develops surveys and other accessible methods of data collection when needed Works with behavioral health team members to make needed data accessible Consults with leadership to develop databases with optimal ability to track data over time Interpretation & Reporting Maintains an understanding of relational databases in concept and how to practically work data housed within Maintains an understanding of a variety of technology tools to present information (e.g., SQL, SSRS, Power BI, Advanced MS Excel, MS SharePoint, SAS, etc.) Schedules times to review findings of analyses with project leads Provides statistical findings related to priority initiatives/aims to project leads Provides on-time visual summaries and reports to team members and prepares summaries for newsletters and other communication streams Required Minimum Education: Bachelors Degree - Information Systems or Bachelors Computer Engineering or Bachelors Applied Mathematics (a plus) Required Minimum Experience: Minimum 6 years working directly with customers from requirements gathering, functional design, development, and delivery of interactive data visualization. 6 years working with complex data sets in a relational database environment with tools such as SQL Server, MS Access, SAS, MS Excel, and other 3rd party visualization tools such as Tableau and Power BI. Previous clinical background/experience and familiarity working with healthcare specific data, concepts, and terminology. Significant experience in data analytics and visualization. Strong background in designing and building publication-ready interactive and self-guided data visualizations using Tableau, Power BI and/or other BI tools along with diverse sets of structured and unstructured data. Excellent analytical and problem-solving skills and strong attention to detail and accuracy and a sense of personal accountability.

The IT Data Senior Scientist will leverage advanced analytics, machine learning, and statistical methods to extract meaningful insights from complex datasets. In this role, they will develop and implement data models, conduct in-depth analysis, and collaborate with cross-functional teams to drive data-driven decision-making. They will work with large datasets to identify patterns, build predictive models, and provide actionable recommendations that support business strategies. This position offers the opportunity to work with cutting-edge technologies and mission-critical AI-based business cases, and solve key challenges through data innovation. Must have skills: -Machine Learning Model Development and Deployment -Industrial Data Science and IoT/Time Series (Critical for working with sensor data from manufacturing sources (IoT/Industry 4.0) -Computer Vision (CV): Specific experience with AI-driven solutions like computer vision for automate product inspection and identifying defects, which requires technical familiarity with CV libraries like OpenCV and deep learning frameworks like TensorFlow/PyTorch. -Working with "large datasets" and deploying cutting-edge AI requires a scalable, cloud-based infrastructure. Key Responsibilities Gather, preprocess, and clean data from various manufacturing sources (e.g., sensors, production systems) to ensure high-quality, accurate datasets for analysis. Develop machine learning models to predict equipment failures, enabling proactive maintenance and minimizing downtime on the manufacturing floor. Implement AI-driven solutions such as computer vision and statistical models to automate product inspection, identify defects, and maintain product quality. Analyze production processes to identify inefficiencies, bottlenecks, and opportunities for optimization, recommending data-driven strategies to improve throughput and reduce costs. Use data analytics to optimize supply chain operations by forecasting demand, improving inventory management, and enhancing logistics to reduce lead times and costs. Build and refine predictive models to forecast production schedules, optimize resource allocation, and improve capacity planning based on historical data and trends. Design and deploy anomaly detection algorithms to monitor production systems, identifying unusual patterns or failures in real-time to prevent costly errors. Work closely with production, engineering, and IT teams to understand business needs, develop solutions, and integrate data science tools into manufacturing workflows. Create dashboards, visualizations, and reports to effectively communicate insights and trends to stakeholders and support data-driven decision-making. Stay updated on emerging data science techniques and technologies, driving continuous improvements in manufacturing processes and introducing innovative solutions to enhance productivity. Required Education, Experience, and Skills Minimum Education Level: Bachelor's Specialized Degree: Software Engineering, Applied Computer Science, Statistics. Years of Experience: 5-7 years Field of Expertise: Manufacturing, ioT, Industry 4.0, Cybersecurity, Preferred Education, Experience, and Skills Minimum Education Level: Master's Certificates: GCP, AW, S, or Azure certified Years of Experience: 8-11 years Preferred Field of Expertise: Manufacturing in Wire & Cable

*Role is Onsite 4 days a Week, Monday - Thursday in Atlanta* *Role is an Ongoing Contract* This position is hiring a Data Engineer with experience focused on testing data in a software engineering capacity. Some of that data might live in relational systems, this role focuses on monitoring data quality as it moves through a data lake. This role is specifically focusing on implementing QA testing for AI analytical models. A strong knowledge of machine learning processes and frameworks is required. As a Quality Assurance Data Engineer, you will play a crucial role in ensuring the integrity, reliability, and high performance of our decision-making data platform. Your expertise will be pivotal in enforcing data quality standards, performing rigorous testing, detecting, and resolving data issues, and supporting the continuous improvement of our software development processes. With strong analytical and communication skills, this role brings attention to detail and technical expertise to the testing process, ensuring the delivery of robust and error-free data analytical solutions through both manual and automated testing. In this role, you will ensure the quality and reliability of our AI models and systems, playing a critical part in the development and improvement of our AI-driven products. *role can pay $50-$80 an hour based on YOE*

Excellent opportunity to build your career with a large, well-established company. We're seeking a proactive, detail-oriented professional to join a fast-paced and collaborative team environment. In this role, you'll support incoming requests from cross-functional partner teams. You will spend most of your time working in the Qualtrics platform. RESPONSIBILITIES: Design, build, launch, and manage online surveys using the Qualtrics platform Develop dashboards and deliver actionable reporting and insights to leadership Collaborate with cross-functional partners to gather requirements and support business objectives You will be contributing to building a best-in-class customer experience to improve conversion, drive traffic, and grow sales. Enjoy a casual dress code, dynamic and high-energy team members, and the ability to learn and execute business skills from an industry leader! This is a 10 month contract position in Atlanta with the possibility to extend or convert to associate. In this role you will be working in a hybrid model. REQUIRED SKILLS: 2+ years of professional experience using the Qualtrics platform, including survey creation and dashboarding Retail or E-commerce or another customer-facing industry experience Proficiency in basic Excel functions Strong written and verbal communication skills Bachelor's degree required Must be authorized to work in the U.S./Sponsorships are not available

Essential Functions: •Continuous Improvement - collaborate with cross functional teams to optimize warehouse systems for improved efficiency and operational service levels •Create processes and standard operating procedures leveraging current procedures from Lowe's •Lead or participate in (depending on project size) the documentation of functional requirements for approved projects. Interface with other groups in Supply Chain as needed to determine cross functional impacts. •Train leadership and hourly associates on Distribution or order fulfillment process and system enhancements •Provide support for the implementation and execution of action plans related to Warehouse management systems for new and existing Distribution Centers •Manage and proactively monitor all time sensitive fulfillment issues impacting Stores and Cross Dock Delivery Terminals. Collaborate with business stakeholders to understand all components of order fulfillment and refine warehouse management system requirements to meet customer needs. •Prioritize mission-critical work activities - identify root cause for exceptions and escalate as necessary to prevent customer impacts. •Evaluate, verify, and monitor new item configuration. Resolve item setup and allocation exceptions, ensure consistency across the network. •Actively monitor Distribution Center storage space and prescribe actions to maintain adequate capacity. •Maintains, triages, and supports Lowe's Warehouse Management System requiring weekend, overnight, and evening support Minimum Requirements: •Bachelor's Degree •3-5 years' experience handling store/field support questions and solving business problems. •3-5 years' Supply Chain or Store Operations experience and project management and inventory process management experience. Preferences: •Experience in a role that builds knowledge of distribution facility processes, responsibilities, functions, limitations, controls and common problems. •Experience with Blue Yonder Warehouse Management System. •Experience with training and presenting new information to associates. •Experience supporting or managing a third party provider. Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit

Corporate or DC / Hybrid The IS Application Support Analyst - Supply Chain is responsible for supporting and maintaining critical supply-chain applications and technologies within the Distribution Center (DC) environment. This role ensures the stability, performance, and security of systems such as WMS, TMS, LMS, and related hardware including RF scanners, automation equipment, and printers. The analyst provides daily operational support, troubleshoots system and hardware issues, analyzes data to drive process improvements, and collaborates with cross-functional teams and vendors to enhance system functionality. DUTIES/RESPONSIBILITIES: Install, configure, maintain, and support supply-chain-related applications, hardware, ensuring stable and secure system operations. Provide day-to-day application support for Distribution Center (DC) systems including WMS, TMS, LMS, and related technologies (RF scanners, automation, Put-to-Light, printers, etc.). Troubleshoot and resolve technical issues such as WMS/TMS/LMS errors, integration failures, hardware malfunctions, and network/connectivity problems, escalating to IT teams or vendors as needed. Analyze operational and system data to identify inefficiencies, perform root-cause analysis, and recommend/implement process or system improvements. Collaborate with business users, IT teams, and vendors to assess requirements, validate data accuracy, and ensure optimal application performance. Participate in system upgrades, enhancements, testing, and implementations; document functional requirements, test results, procedures, and support materials. Train and support end users on applications, system processes, and security best practices. Monitor application and system performance, create and analyze reports/logs, and track performance metrics to ensure high availability and operational throughput. Coordinate vendor activities during system outages, updates, and upgrades, ensuring issues are documented, tracked, and resolved. Execute assigned tasks with accuracy and timeliness; manage priorities and select appropriate methods to complete work efficiently. Participate in business continuity and disaster recovery planning, testing, and event execution. Provide support coverage during night, weekend, or on-call rotations as required. Perform additional duties as assigned to support supply chain operations and technology initiatives. REQUIRED SKILLS/ABILITIES: Strong analytical, troubleshooting, and root-cause problem-solving abilities. Effective written and verbal communication skills, with the ability to support and train end users. Ability to learn and apply new technologies quickly in a fast-paced DC environment. Experience with SQL and relational databases; proficiency with Excel and reporting tools. Ability to document processes, requirements, and test results for system changes. Ability to work independently, collaborate across teams, and drive resolution through obstacles. Strong organizational skills with the ability to prioritize and manage multiple tasks. Flexibility to support night, weekend, or on-call needs. This position requires travel as needed. EDUCATION/EXPERIENCE: Bachelor's Degree in Information Technology, Computer Science or related field Minimum of 3 years' experience PHYSICAL REQUIREMENTS: While performing the duties of this job, the employee is regularly required to sit. The employee must frequently use their hands to handle or feel objects and must be able to speak and hear clearly. The employee may occasionally need to lift and/or move up to 25 pounds. Specific vision abilities required for this job include close vision, distance vision, and depth perception. The employee must be able to work effectively in a fast-paced environment. GENERAL INFORMATION: The above statements are intended to describe the general nature and level of work being performed by individuals assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required of personnel so classified. Equal employment opportunities are provided to all employees and applicants for employment. Discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. is prohibited.

Title: Data Analyst Team Manager Full-Time or Part-time: Full-Time Department: Information Technology Reports To: Director of Information Technology Employment Category: Exempt, Salary The Data Analyst Team Manager will lead a team focused on leveraging data and artificial intelligence (AI) to drive data-informed decision-making across the organization. This role will oversee the development of predictive models, AI-powered dashboards, and scalable data solutions that support mission-critical functions including conservation, fundraising, outreach, and membership engagement. Supervisory Responsibilities: Recruits, interviews, hires, and trains new staff. Oversees the daily workflow of the department. Provides constructive and timely performance evaluations. Handles discipline and termination of employees in accordance with company policy. Performs other related duties as assigned. Duties and Responsibilities: Lead and mentor a team of data analysts and data scientists in designing and implementing AI-driven analytics solutions. Oversee the development of machine learning models for predictive insights (e.g., donor behavior, engagement propensity, habitat usage). Collaborate with cross-functional teams to identify opportunities for AI integration in operational workflows, including GIS, marketing, and volunteer management. Ensure the delivery of high-quality PowerBI dashboards and automated reporting tools tailored to business needs. Drive experimentation and statistical analysis to evaluate the effectiveness of AI initiatives and marketing campaigns. Maintain data governance standards, ensuring compliance with privacy and security protocols. Stay current with emerging AI technologies and trends and assess their applicability within the organization. Attend annual NWTF Convention, regional meetings and training opportunities, as necessary. Requirements Required Skills/Abilities: Proven experience with AI/ML tools and platforms (e.g., Python, R, TensorFlow, Azure ML). Strong proficiency in Microsoft Power Platform (Power BI, Power Apps, Power Automate). Hands-on experience with data lakes, including architecture, ingestion, and querying strategies. Excellent communication and stakeholder engagement skills. Experience in nonprofit or conservation sectors is a plus. Preferred Skills: Familiarity with GIS data and spatial analytics. Experience managing AI initiatives in cross-functional environments. Knowledge of Copilot and generative AI applications for internal productivity. Education and Experience: Bachelor's or master's degree in data science, Computer Science, Statistics, or related field. 5+ years of experience in data analytics, with at least 2 years in a leadership role. Physical Requirements: Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 15 pounds at times. Salary Description $100,000.00 Minimum Annual Salary Remote or Telecomm Status: Position is Hybrid remote - four days in office. Salary Description $100,000.00 Minimum Annual Salary

We are seeking a highly motivated Entry Level Data Analyst to join us. As an Entry Level Data Analyst, you will be responsible for collecting, analyzing, and interpreting to help our clients make informed decisions. You will work closely with our team of data analyst to identify trends, patterns, and insights from data, and present them in a clear and concise manner. Key Responsibilities: - Collect, clean, and organize large datasets from various sources - Use statistical methods to analyze data and identify trends, patterns, and insights - Create data visualizations and reports to present findings to clients - Collaborate with team members to develop and implement data-driven strategies - Continuously monitor and improve data quality and accuracy - Stay up-to-date with industry trends and advancements in data analytics Requirements: - Strong analytical and problem-solving skills - Proficiency in SQL and data visualization tools (e.g. Tableau, Power BI) - Knowledge of statistical analysis and data mining techniques - Excellent communication and presentation skills - Ability to work in a fast-paced and dynamic environment - Attention to detail and ability to handle multiple tasks simultaneously Why work with us? - Collaborative and supportive work environment - Competitive salary and benefits package - Professional development and growth opportunities - Chance to make a real impact and contribute to the success of our clients If you are passionate about data and have a strong desire to learn and grow in the field of data analytics, we would love to hear from you.

**Product Data Analyst** Digital products play a central role in how we create value for customers, support the teams who serve them, and shape the consumer experience. Our product organization brings together small, empowered teams that move with clarity, speed, and purpose, enabling digital to be a meaningful source of advantage across our operating unit. Our work touches on the experiences that keep the business running, including customer journeys, service delivery, sales workflows, and the systems that connect them. We are raising our standards for product craft and rebuilding the platforms behind these experiences. We are hiring multiple Product Data Analysts to join our growing Product Data & Analytics function. Analysts are embedded within empowered product teams and partner closely with Product Managers, Designers, Engineers, and Researchers to bring data and evidence into everyday product decisions. **About the Role** Product Data Analysts are core members of empowered, cross-functional product teams. In this role, you will help teams deeply understand user behavior, evaluate opportunities, and measure progress toward meaningful outcomes. You will use data to shape discovery, define success metrics, evaluate ideas, and inform prioritization. Your work will influence day-to-day product decisions as well as broader strategy by turning complex behavioral data into clear, actionable insight. This role is a strong fit for analysts who enjoy working close to product teams, are curious about how users behave, and are motivated by helping teams learn faster and make better decisions. **What You'll Do for Us** **Responsibilities** : **Product Analytics & Insight** : + Build a deep understanding of user and customer behavior by analyzing product usage, funnels, journeys, and segments + Identify friction points, opportunities, and trends that inform product discovery and iteration + Monitor key metrics and diagnose changes in performance across adoption, engagement, and retention **Discovery, Measurement & Experimentation** : + Partner with Product Managers, Designers, and Engineers to define success metrics, KPIs, and guardrails + Design and execute analyses, experiments, and tests (A/B tests, pilots, prototypes) to evaluate product ideas and measure impact + Help teams move from output-based tracking to outcome-based measurement **Instrumentation & Data Quality** : + Define and improve product instrumentation, event tracking, and data structures that reflect real user behavior + Partner with engineering to ensure products are instrumented correctly and data is reliable, accurate, and usable + Maintain documentation and shared understanding of metrics and definitions **Insight Communication & Influence** : + Create dashboards, visualizations, and narratives that make insights accessible and actionable + Synthesize quantitative findings into clear recommendations that influence product decisions and prioritization + Contribute to a data-informed culture by helping raise analytical fluency across product teams **What You'll Need** **Key Qualifications** : + 4-7 years of experience in product analytics, data analysis, business intelligence, or a related role supporting digital products + Strong proficiency in SQL and comfort working with large, complex datasets + Experience analyzing behavioral data, including funnels, cohorts, and segmentation + Demonstrated ability to design and interpret experiments and data-driven evaluations + Ability to translate complex quantitative findings into clear, actionable insights for non-technical audiences + Strong collaboration skills and experience working within cross-functional product teams **Education** : Bachelor's degree in analytics, statistics, economics, computer science, or a related quantitative field, or equivalent practical experience **Preferred Qualifications** : + Experience supporting B2B, multi-sided, or ecosystem products with complex workflows + Familiarity with product analytics and instrumentation tools (e.g., Amplitude, Mixpanel, FullStory, GA4) + Experience with dashboarding and visualization tools (e.g., Tableau, Looker, Sigma) + Exposure to statistical methods such as hypothesis testing, regression, or clustering + Experience partnering closely with data science or applied analytics teams **Skills** : + **Analytical Rigor** : Breaks down complex questions into clear analyses and surfaces patterns that guide decisions. + **Product Thinking** : Connects insights to user needs, business outcomes, and product strategy. + **Measurement & Experimentation** : Defines meaningful metrics, tests hypotheses, and evaluates impact with evidence. + **Data Storytelling** : Communicates insights with clarity and influence through narratives and visualizations. + **Collaboration & Influence** : Builds trust across disciplines and helps raise analytical fluency within product teams. **What We Can Do For You** + Iconic & Innovative Brands: You'll have the opportunity to work with over 20 different billion-dollar brands such as Coca-Cola, Sprite, Fanta, Powerade, and more. + Creative Team Culture: Be inspired by the best brand leaders and agencies in the world, fostering a creative culture that supports taking risks and innovation. + Global Exposure to World Class Leaders: You'll have access to global marketing leaders that will expand your network and expose you to emerging digital platforms and marketing insights. The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. Pay Range:$138,300 - $163,300 Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered. Annual Incentive Reference Value Percentage:15 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.

Full-Time We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions. Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will also monitor performance and quality control plans to identify improvements. Responsibilities • Interpret data, analyze results using statistical techniques and provide ongoing reports • Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality • Acquire data from primary or secondary data sources and maintain databases/data systems • Identify, analyze, and interpret trends or patterns in complex data sets • Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems • Work with management to prioritize business and information needs • Locate and define new process improvement opportunities Requirements And Skills • Proven working experience as a Data Analyst or Business Data Analyst • Technical expertise regarding data models, database design development, data mining and segmentation techniques • Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL, etc), programming (XML, Javascript, or ETL frameworks) • Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS, etc) • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy • Adept at queries, report writing and presenting findings • BS in Mathematics, Economics, Computer Science, Information Management or Statistics Skills: SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine learning, data warehousing, data modeling, data architecture, data management, statistics, business intelligence, data quality Additional Information Full-time

Seeking a highly skilled and motivated Data Analyst to support the Procurement and Supply Chain Operations organization. This position is ideal for a self-driven individual who is inquisitive, precise, and thrives in a fast-paced, results-oriented environment. This role will serve as the technical backbone of the team-owning data systems, dashboards, and process automation that enable smarter, faster decision-making across the enterprise. This is not a "heads-down" data entry role; it's a hands-on opportunity to lead the analytics that shape how the team buys, pays, and performs. The ideal candidate enjoys working in a collaborative environment but can independently drive results with minimal supervision, challenge inefficiencies, propose better solutions, and back up recommendations with data. **Responsibilities** + Tableau Ownership: Partner with IT and functional leaders to develop, maintain, and continuously improve Tableau dashboards that drive procurement insights and executive visibility. + Coupa System Support: Collaborate with IT and cross-functional users to resolve backend Coupa issues, enhance reporting, and identify process improvements within our Procure-to-Pay ecosystem. + Vendor Master & Supplier Enablement: Provide backend support for supplier onboarding, banking/wire verification, and supplier issue resolution to ensure smooth integration into our systems. + Process Improvement: Analyze workflows, identify bottlenecks, and recommend automation or analytical solutions that improve efficiency, accuracy, and visibility across procurement operations. + Cross-Functional Collaboration: Partner with Finance, IT, and Sourcing teams to align data governance and ensure consistency across systems. + Ownership of procurement-related technology as needed **Qualifications** + Bachelor's degree in Data Analytics, Computer Science, Supply Chain, Engineering, or related field. + 2-5 years of experience in data analysis or business analytics roles supporting Procurement, Supply Chain, or Finance. + Advanced proficiency in SQL and Python (experience building data models, scripts, and automations). + Strong hands-on experience with Tableau (dashboard creation, calculated fields, and data blending). + Proven ability to translate complex data into actionable insights for business users. + Excellent attention to detail and organizational skills. + Exceptional communication skills and a proactive mindset-someone who anticipates needs, not just responds to requests. Preferred: + Experience with Coupa, Smartsheet, or other Procure-to-Pay and workflow tools. + Familiarity with APIs, data connectors, and system integration techniques. + Knowledge of data governance and master data management principles. Work Environment: + This position is on-site Monday through Friday at our Alpharetta, GA headquarters. Occasional remote work may be approved based on project needs and performance. This position requires work to be performed at the office location in Alpharetta, GA. **EEO Statement** Motrex is an equal opportunity employer where an applicant's qualifications are considered without regard to race, color, religion, sex, national origin, age, disability, veteran status, genetic information, sexual orientation, gender identity or expression, or any other basis prohibited by law. **About Statement** Motrex (motrexllc.com) provides services to industrial manufacturing and recycling businesses. We specialize in Finance and Accounting, Purchasing, EHS Compliance, Quality and Human Resource Management, as well as Information Technology. Our multi-functional approach enables us to exploit synergy potential and thus improve the competitiveness of our clients' businesses. **Job Locations** _GA-Alpharetta_ **Requisition ID** _2025-5369_ **Category** _Supply Chain/Logistics_ **Position Type** _Regular Fulltime_ **Location : Address** _5925 Cabot Parkway_ **_Location : Postal Code_** _30005_ \#motrex

Department Operations Employment Type Full Time Location Accel Research Sites - Decatur, GA Workplace type Onsite Reporting To Adrienne Hilliard Key Responsibilities Skills, Knowledge and Expertise Benefits About Alcanza Clinical Research Alcanza Clinical Research (“Alcanza”) is a national, collaborative network of clinical research sites, founded on the mission to accelerate the development of new therapies by reducing barriers to clinical research participation for all. We conduct research on dozens of conditions in several therapeutic areas including psychiatry, neurology, dermatology, and infectious disease. Our work is important to the patients who participate, the scientists who develop these new therapies, and the entire medical community. Because all approved medications require clinical trials, the impact of your work is exponential, reaching many thousands of future patients and improving their quality of life. Alcanza is a culturally competent organization. We treat each other with dignity, creating an environment where all individuals feel welcome, heard, and respected for their unique perspectives and aspirations. We put considerable effort into finding exceptional employees who mirror the values most important to us: Inclusive, Impactful, Compassionate, and Determined. Alcanza Clinical Research is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, marital status, veteran status, disability, sexual orientation, gender identity or expression, genetic information, or any other category protected by law. We recognize that diversity and inclusion is a driving force in the success of our company.

Applicants who do not complete the personality test accompanying this application will not be considered for the role. We are seeking a Data Analyst to join our tax recovery team, focusing on sales tax refund reviews. The ideal candidate will analyze transaction-level data, identify overpaid taxes, and support the preparation of refund claims. This role requires strong analytical skills, attention to detail, and familiarity with sales tax regulations. If you are driven by the pursuit of excellence, take pride in your work, and value the atmosphere of a private, family-run business that emphasizes work-life balance, we invite you to apply to join our team of dedicated professionals who have a relentless dedication to customer service. Analyze large datasets of purchase transactions to identify overpaid sales tax. Reconcile tax amounts using tax rates, exemptions, and jurisdictional rules. Work closely with tax consultants to prepare refund claims and supporting documentation. Utilize SQL, Excel, and other data analysis tools to extract and manipulate data. Identify trends and patterns in sales tax overpayments. Assist in automating processes to improve data extraction and analysis efficiency. Communicate findings and recommendations to internal teams and clients. Availability: This is an in-office, onsite 5x per week position. Bachelor's degree, preferably in Finance, Accounting, Data Analytics, Business, or a related field. 1-3 years of experience in data analysis, tax compliance, or financial analytics. Proficiency in Excel (VLOOKUP, Pivot Tables, Macros) and data visualization tools (Tableau). Experience with SQL, Python, or other data query languages is a plus. Knowledge of sales tax regulations and exemptions is preferred but not required. Strong problem-solving and analytical skills. Excellent communication and collaboration abilities.

Do you want to change the world? We do, too. Solar penetration is less than 1%, but just one hour of sunlight, if harnessed, could power the entire world for a year. We have the opportunity to change the way energy is produced, distributed and consumed, and we're looking for talented, committed people to help us drive our growth and achieve our goals. SunPower is a solar energy solutions company with a rich heritage of pioneering the best solar technologies in the world. Our solutions are unrivaled in terms of long-term reliability, efficiency, and performance. SunPower offers the only solar + storage solution designed and warranted by one company that gives customers control over electricity consumption. Through design, installation, maintenance, and monitoring, SunPower provides its world-class solar solutions to residential and commercial customers across the U.S. SunPower is changing the way our world is powered every day with a brilliant, passionate, and driven team of more than 2,500 in North America and the Philippines. In an industry that is reshaping the world's energy future, there's no better place to be than SunPower. We believe that our employees create our brand - with each project, each communication, each task completed and each interaction. SunPower welcomes the forward thinkers, the future savers of the world, the freedom chasers and all those demanding better, cleaner energy. Summary of the Role: SunPower is looking for a Data Analyst to join its Energy Analytics team and assist with dashboarding, tracking key metrics, and ad hoc analytical projects. This role will report to the Energy Analytics Data Scientist. The ideal candidate will be very comfortable in SQL with a desire to further their technical and analytical skills, as there will be substantial opportunity to learn and grow professionally in this role. Essential Duties and Responsibilities Build dashboards to track energy production performance and potential reporting anomalies Develop standardized queries to aid future investigations Conduct ad hoc analysis as requested and present key findings Work with our data scientists as they explore solar energy production compared to typical weather, actual weather, and modeled panel performance Related Experience and Education Requirements 1-5 years of professional experience using SQL Experience working with real-world inconsistent or incomplete datasets Experience calculating and tracking metrics or KPIs Natural curiosity to explore complex datasets and connect them to how the business is managed Experience investigating data anomalies and summarizing key learnings and recommended follow-ups Experience building data visualizations and dashboards Optional Qualifications Proficiency with Python or a similar language is a plus but not required Experience building monitoring systems or dashboards is a plus but not required Desire to learn data science topics such as machine learning, anomaly detection, classification, or regression is a plus but not required Equal Employment Opportunity The Company is an equal employment opportunity employer and makes employment decisions, including but not limited to, hiring, firing, promotion, demotion, training, and/or compensation, on the basis of merit. Employment decisions are based on an individual's qualifications as they relate to the job under consideration. The Company's policy prohibits unlawful discrimination based on sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions, the actual sex of the individual, or the gender identity or gender expression), race, color, religion, including religious dress practices and religious grooming practices, sexual orientation, national origin, ancestry, citizenship, marital status, familial status, age, physical disability, mental disability, medical condition, genetic information, protected veteran or military status, or any other consideration made unlawful by federal, state or local laws, ordinances, or regulations. The Company is committed to complying with all applicable laws providing equal employment opportunities. This commitment applies to all persons involved in the operations of the Company and prohibits unlawful discrimination by any employee of the Company, including supervisors and co-workers.

ITQ Consulting Group is a global Staffing and Technology consulting firm serving clients in North America and Africa. Headquartered in metropolitan Atlanta, Georgia - ITQ is focused on delivering business and technology solutions that reduce cost, increase performance and profitability. Job Description Assists in the development of project estimating and tracking policies and procedures, conducts special project and business related studies and cooperates with other departments in the preparation of analyses. Tracks costs and project activity to provide insight into project health. Recommends process and policy improvements. Analyzes data and makes recommendations to improve quality and consistency. All other duties as assigned. Qualifications Bachelor's Degree or equivalent experience required. 5 years of data analysis/reporting. Self-starter with strong initiative. Requires in-depth knowledge and expertise. Uses best practices and knowledge of business issues to improve services. Solves complex problems; takes a new perspective to identify solutions. Advanced user of MS Office applications with proficiency in Excel and SharePoint. Works independently; receives minimal guidance. Additional Information We are an equal opportunity employer. M/F/D/V