Data analyst jobs in Sugar Hill, GA - 1,230 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

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

The Staff Data Analyst - Marketing & Revenue Analytics (GTM) acts as the strategic bridge across our entire revenue organization-spanning Marketing, Sales, and the Customer Office. Unlike traditional analyst roles that focus on a single silo, this position demands a holistic thinker who can trace the data thread from the first marketing click to the renewal contract. Our business is pivoting to an Enterprise-first strategy, creating a dynamic, high-growth environment. We need a partner with a Growth Mindset who views complexity as an opportunity to build structure. In this role, you will move beyond reporting numbers to partner with business leaders, driving actionable insights, optimizing resource deployment, and championing process accountability. This role supports the data behind business planning, empowering business leaders to make the final calls. This is a remote-first role and is open to applicants located within Canada and the United States where we comply with our legal hiring entities. In this role, you will report to the Senior Manager, Analytics. WHAT YOU'LL DO: Strategic Partnership & Dynamic Planning: Partner with business teams on continuous planning cycles (moving beyond just annual AOP). Provide the analytical foundations they need to make informed decisions. Reverse Funnel Modeling: Collaborate with leadership to calculate the required inputs (MQLs, Opportunities, Demos) needed to hit revenue targets based on conversion rates. Resource Optimization: Analyze territory balance, account segmentation, and "whitespace" to enable leadership to position the Revenue Team (Sales, AMs, CSMs) for maximum success. Full Lifecycle Analytics: Assess campaign performance and ROI (beyond vanity metrics), monitor sales funnel health/leakages, and track customer retention/health scores to shift from reactive "save plays" to proactive monitoring. Activity Intelligence: Leverage tools like Gong to analyze engagement quality and competitor mentions, answering critical questions like: "Are we talking to the right people? Is the sentiment positive?" Cross-Functional Data Partnership: Leverage Product Adoption Intelligence to identify "At-Risk" signals and partner with Finance to ensure data aligns for accurate reporting. Jira Accountability & Structure: Partner with the Senior Manager of Analytics to bring structure to the team's work. You will help manage backlogs and ensure visibility, ensuring we are building the right things at the right time. Documentation & Best Practices: Partner with the teams on the creation and maintenance of data dictionaries and enablement documentation in Confluence. Partner with the dbt guild to drive best practices and optimize the data warehouse environment. Perform other related duties as assigned WHAT YOU'LL NEED: Strategic GTM Experience: 10+ years in BI/Analytics with the Revenue Ecosystem Acumen to connect the dots between Marketing campaigns, Sales territories, and Customer Success portfolios. You act as a strategic partner, not just support, anticipating needs before they are asked. Technical & Visualization Mastery: Advanced SQL (Redshift) and dbt skills paired with expert-level Tableau mastery. You are tenacious in overcoming data blockers to build trusted, self-service interfaces. The “Enterprise” Stack: Deep familiarity with the full go-to-market landscape including Marketing (Marketo, GA4, Ad Tracking platforms, Content Creation Engines, Goal Cast), Sales & CS Platforms (CRM/Salesforce, Gainsight), and Revenue Intelligence (Gong). Communication & Influence: An exceptional Storyteller and Diplomat who can present complex insights to diverse stakeholders. You understand that context often comes from conversations, not just queries and can deliver high-level strategic insights without getting lost in the details. Agile Execution: Experience with Jira to drive structure. You are Agile & Growth-Oriented, adapting quickly to pivots (like our Enterprise strategy) and focusing on solutions rather than fixed mindsets. WHO YOU ARE: Solution seeker. You're focused on tackling new challenges, solving problems, and moving the business forward-and you don't wait to be asked. Lifelong learner. You have a growth mindset - you're here to learn, experiment, seek, apply, and provide feedback, share what works with your team, and move on from what doesn't. Resilient adapter. In the face of change and challenges, you bring a thoughtful, calm approach, and a focus on finding the new opportunity. Intentional collaborator. You build positive working relationships across the business, bringing people together to foster new opportunities and to facilitate the efficient flow of information. Critical challenger. You have the trust in your team to ask difficult questions in order to get to the best end result. Active communicator. You listen actively and communicate ideas and information clearly, inclusively, and proactively. Integrated thinker. You look beyond your role and responsibilities to understand how your team's work drives broader organizational goals. Accountable owner. You take pride in the work you're responsible for with a mindset of ultimate accountability and reliability for the outcomes. Bar-raiser. You step up to help your team grow and succeed, even when that means going beyond what might be expected. In all we do, our six guiding principles light the way: Step Up: Dare to go beyond the expected to achieve greatness. #StepUp One Team: Make Hootsuite a place we soar together by respecting each other's individuality, building trust, and showing up for the team. #OneTeam #FreeToBeMe Customer Obsessed: Focus relentlessly on helping our customers succeed. #CustomerObsessed Go Fast, Be Agile: Widen our competitive advantage by committing to speed and simplicity over perfection and complexity. #GoFastBeAgile Play to Win: Commit to building an incredible, profitable company for our customers, our employees, and our stakeholders. #PlayToWin #NoExcuses Neighbours & Allies: Give back to our communities and be an ally. #SocialForGood #Allies Accommodations will be provided as requested by candidates taking part in all aspects of the selection process. #LI-AK1, #LI-Remote Canada Pay Range For This Role$100,700-$141,100 CADUS Pay Range For This Role$112,300-$157,300 USD Use of AI in Hiring Hootsuite uses artificial intelligence (AI) to support our recruitment process. These tools may assist with screening and assessing applicants and / or summarizing interview feedback. All final hiring decisions are made by human decision-makers who use their professional judgement to review and evaluate relevant candidate information in addition to AI outputs. For more information about how we use AI and your rights, please see our Careers Privacy Policy.

2-7 years' experience in business and data analytics Bachelor's/Master's degree in Statistics, Math, Engineering, Economics or related field; Advanced degree preferred Proficient with SQL (experience in Hive and Teradata utilities preferred) Proficiency with multiple analytics tools required; Python or R strongly preferred Hands on experience with BI tools; Tableau, power BI etc. Excellent written and verbal communication skills Must be comfortable in ambiguity and constantly evolving environment Thorough understanding of business metrics for customer experience improvement and product performance metrics. Preferred Qualifications: Degree in computer science, information systems, or other technology-related field Prior work experience with Incident analytics projects Exposure to advanced analytics concepts such as predictive analytics and/or machine learning Predictive modeling experience Understanding of Linux systems and automation of jobs Exposure to Hadoop, MapReduce, Spark or other Big Data Platforms Practical knowledge in NLP and text mining Regards, Sai Kumar Senior Recruiter Work: ************ Ext: 104 Fax: ************ Adr: #450, 15 Corporate Pl S Piscataway , NJ , 08857 Additional Information All your information will be kept confidential according to EEO guidelines.

**_Candidates are encouraged to apply to 3 or fewer internship roles during a given internship recruiting cycle_** Overview (2-3 sentences):** As a Summer Data Analyst Intern on the ARTD (Alcohol Ready to Drink) Global Development and Innovation team, you will support the team by analyzing consumer, market, product, and supply chain data to inform strategic decision‑making and innovation within the global ARTD category. You will assist with gathering, cleaning, analyzing, and visualizing data to improve how insights are generated and shared across the team. In addition to innovation and consumer analytics, the intern will also support supply chain by helping with shipment creation, extracting and analyzing delivery performance data at a lane level, and presenting findings to stakeholders. This role will work closely with cross‑functional partners across product development, supply chain, and analytics, offering hands‑on exposure to how data supports both innovation and operational performance in a fast‑paced environment. **Function Related Activities/Key Responsibilities: (Top 5-8 core responsibilities):** Collect, clean, and organize consumer, market, sales, and product data from internal and external sources to support analysis and reporting. Analyze performance trends within the ARTD category. Build and maintain basic dashboards, charts, and visualizations that communicate insights clearly. Assist with consumer insights analysis by summarizing survey data, concept tests, or usage & attitude research. Document analytical processes, assumptions, and findings to promote consistency, clarity, and knowledge sharing. Prepare concise summaries and presentations translating data into insights, learnings, and recommendations for internal stakeholders. **Education Requirements:** + Must be currently pursuing a Bachelor's or Master's degree in Data Science/Analytics, Statistics, Business Analytics, Marketing Analytics, Economics, Computer Science, or related field or have graduated from their degree program no earlier than December 2025. **Related Work Experience:** + Supply chain experience is a plus + Experience conducting analysis for large organizations is a plus **Functional Skills:** + Data cleaning and preparation + Data analysis and visualization (Tableau, Power BI, Excel) + Translating data into insight and recommendations + Problem-solving mindset + Comfort with ambiguity + Able to work with evolving questions and incomplete data **Compensation:** + Monthly Salary (undergraduate): $4,506 + Monthly Salary (graduate): $6,066 Location: Atlanta, Georgia Dates of Internship: May 18 - July 31, 2026 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. 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.

We have an immediate need for a Marketing Data Analyst for a long-term contract assignment locateded in Atlanta, GA. In this position, you will be responsible for building and validating metrics, monitoring data quality, analyzing various forms of data, providing reports and interpreting results. They will work closely with the Marketing team to help with all their reporting and analysis needs. They must effectively communicate findings and results to stakeholders and make recommendations to the business based on data insights. Top 5 Must Haves: SQL experience, Web Analytics experience (ex Google Analytics), BI Tool Experience (ex. Tableau or Power BI), Digital Marketing Analytics experience. Responsibilities: Coordinates data warehouse import, transformation, and validation of new data required for analysis. Monitors and analyzes key metrics and ensures accuracy of results produced from data analysis. Assists engineering teams in creating and maintaining data reporting models. Collaborate with tagging teams and implementation specialists to create new digital tracking. Builds and validates new derived metrics and associated business rules. Perform ad hoc data analysis and reporting. Develop dashboards for reporting, and work to improve and maintain existing dashboards. Effectively communicate findings and results to marketing stakeholders based on analyses. Qualifications: Experience in Digital Marketing data analysis. Experience working with SQL. Experience with web analytics tools. Experience with a BI tools. Desirable: Working experience with Tableau. Working experience with the Snowflake. Working experience with Google Analytics

Our analytics team is looking for a Sr. Marketing Analytics Analyst to focus on our Direct Mail marketing channel. This role will be instrumental in testing, optimizing, and implementing new analytics strategies to drive profitable growth as we seek to match the configuration of our products to the needs of our customers. We are seeking a hands-on data analyst with strong technical skills who enjoys analyzing large data sets to solve complex problems. What you'll be doing: Create strategies for implementation of predictive models such as selection criteria for direct mail offers, approve vs. decline cutoffs and verification requirements for various customer segments, and risk-based loan offer terms (approval amount, pricing, and duration). Collaborate with the Data Science team to define requirements and use-cases for solutions that can rank order customers by attributes such as likelihood to respond to a marketing offer, default, and overall profitability. Analyze and identify opportunities to further the execution of our disciplined growth strategy that balances short-term vs. long-term profitability and appropriately mitigates credit risk. Design multivariate tests to ensure continuous optimization of our Direct Mail marketing strategy. Collaborate with the Marketing team to use data to support continuous channel iteration. Develop reporting to monitor and validate predictive model performance and various Key Performance Indicators (KPIs) over time. What you'll bring: 2-6 years of relevant work experience in an analytical role. Strong data analysis skills using SQL and Excel with pivot tables. You build upon the ideas of others and value diverse perspectives. Youre able to present complex topics to a diverse audience. Superb problem solving and critical thinking skills. Bachelors Degree in an analytical or data analysis field of study. What makes you stand out: Internet-based financial services experience. Masters degree in an analytical field of study. Youre comfortable with the unknown: startup life allows for a broad, wide ranging role, but also means priorities and work can change quickly. You should be excited about all this entails! What it's like to work here: We're about achieving results while having fun along the way. We believe in solving problems together and building on each others ideas. Our teams are comprised of smart, curious individuals and we encourage everyone to think like an owner, take initiative and drive their careers. Our broad roles provide tremendous opportunities for individuals to acquire new skills, gain exposure to all areas of the business, and quickly see their impact.

Job Description Southeast Restoration (SRG), a faith-based company, is seeking a Data Solutions Intern to support the design and delivery of data solutions across the organization. In this role, you'll learn how data is collected, cleaned, and used to support reporting, analytics, and automation efforts that drive better business decisions. This internship is ideal for a curious, detail-oriented individual who is eager to build foundational skills in data, technology, and problem-solving within a collaborative, purpose-driven environment. Your Impact: Key Responsibilities Assist with data preparation, validation, reporting, and documentation under the guidance of the data and technology team Support the maintenance and updating of dashboards, datasets, and basic automations Learn how data flows between systems and how analytics support business goals and operational decision-making Follow established data standards and processes to ensure accuracy, consistency, and reliability Assist in documentation processes, support knowledge sharing, and assist with basic user or team requests Participate in team meetings, ask questions, and incorporate feedback to grow technical and professional skills Support efforts to reduce manual work and improve efficiency through accurate and well-organized data work Qualifications Currently pursuing a Bachelor's degree in Data Science, Computer Science, Information Systems, Analytics, or a related field (or equivalent coursework or hands-on learning) Strong attention to detail and an interest in working with data accurately and responsibly Curiosity and willingness to learn new tools, concepts, and processes Basic technical aptitude and comfort navigating digital tools and systems Strong communication skills and the ability to ask thoughtful questions Integrity and care when working with sensitive or confidential information Exposure to tools such as Power BI, SQL, Microsoft Learn, Fabric, or similar analytics platforms is a plus but not required. Benefits Competitive Internship Compensation Hands-on learning and mentorship from experienced data and technology professionals Real-world exposure to analytics, automation, and business data use Opportunity to build foundational skills that support long-term career growth Ready to Make an Impact? If you're eager to learn how data drives real business decisions and want hands-on experience in a supportive, values-driven environment, we encourage you to apply. Join Southeast Restoration and begin building meaningful skills that make a difference.

NCR Atleos, headquartered in Atlanta, is a leader in expanding financial access. Our dedicated 20,000 employees optimize the branch, improve operational efficiency and maximize self-service availability for financial institutions and retailers across the globe. NCR Atleos was ranked #12 in Newsweek's prestigious 2025 Top 100 Global Most Loved Workplaces list. Our NCR Atleos Global Internship Program offers a unique opportunity to explore the intersection of innovation and financial technology. Interns work alongside teams shaping the future of self-service banking, gaining firsthand experience with the tools and strategies that power millions of transactions every day. At NCR Atleos, you'll be immersed in a culture that values curiosity and creativity. Our program is designed to accelerate your professional growth and help you build lasting connections. Many of our interns go on to join us full-time, equipped with the skills and relationships they've developed during their time here. If you're ready to be part of something global, innovative and impactful, your journey starts here. Business Analyst Intern - NCR Atleos We are seeking a Business Analyst Intern who is passionate about driving business success with innovative solutions. The ideal candidate will have a strong business background, with a degree in a business discipline and a basic understanding of business processes and emerging technology. Familiarity with project management principles is essential. If you are a problem-solver who thrives in a collaborative environment, enjoys working on process improvement, and is looking for a role where you can make a significant impact, we would love to hear from you. Key Responsibilities: Identify process inefficiencies and create problem statement Assist in gathering and documenting solution requirements Analyze data to provide insights for informed decisions Collaborate with cross-functional teams to enhance processes Support project managers in executing projects Qualifications: Working towards a bachelor's degree in a business or technical discipline Familiarity with project management principles Knowledge of business process analysis Basic knowledge of data analysis tools and techniques Demonstrated ability to solve problems in a collaborative environment Problem-solving skills to troubleshoot and resolve business-related issues Time management skills to prioritize tasks effectively Attention to detail to ensure accuracy in data analysis and reporting Adaptability to learn new business analysis tools and methodologies Why NCR Atleos? Interns at NCR Atleos are part of a global team driving transformation in financial and retail technology. You'll work on impactful projects, receive mentorship from industry experts, and gain exposure to enterprise-level systems and innovation. Offers of employment are conditional upon passage of screening criteria applicable to the job. Full time employee benefits include: Medical Insurance Dental Insurance Life Insurance Vision Insurance Short/Long Term Disability Paid Vacation 401k EEO Statement NCR Atleos is an equal-opportunity employer. It is NCR Atleos policy to hire, train, promote, and pay associates based on their job-related qualifications, ability, and performance, without regard to race, color, creed, religion, national origin, citizenship status, sex, sexual orientation, gender identity/expression, pregnancy, marital status, age, mental or physical disability, genetic information, medical condition, military or veteran status, or any other factor protected by law. Statement to Third Party Agencies To ALL recruitment agencies: NCR Atleos only accepts resumes from agencies on the NCR Atleos preferred supplier list. Please do not forward resumes to our applicant tracking system, NCR Atleos employees, or any NCR Atleos facility. NCR Atleos is not responsible for any fees or charges associated with unsolicited resumes.

Job Description The Informatics Analyst plays a vital role in enhancing clinical and operational outcomes through effective data management and analysis. This individual collaborates closely with executive leadership and cross-functional teams-including IT, clinical, finance, and quality assurance-to develop systems that support evidence-based decision-making, regulatory compliance, and continuous improvement efforts. Detailed Description of Position: Data Acquisition & Analysis: Collect, validate, and interpret data from various sources to identify trends, support quality initiatives, and guide strategic planning. Data Infrastructure: Design, maintain, and enhance databases, data models, and reporting systems to ensure secure and efficient access to actionable information. Reporting & Visualization: Build and deliver dashboards and reports using tools such as Crystal Reports, Amazon QuickSight, and Power BI to clearly communicate insights to stakeholders. Support EHR Optimization: Collaborate with clinical teams to customize templates, streamline workflows, and implement decision-support tools that improve documentation and care delivery. Cross-Functional Collaboration: Serve as a liaison between technical and non-technical teams to ensure data solutions align with organizational goals. Quality Assurance: Develop and implement protocols to ensure data accuracy, consistency, and reliability. Compliance & Grant Support: Assist with HRSA reporting, audits, and grant compliance by preparing datasets and narratives required by funders and regulators. Continuous Improvement: Monitor industry trends, recommend best practices, and propose innovations to enhance data processes and system capabilities. Other Duties: Perform related tasks as assigned by the CEO or designees. Minimum Qualifications: Education: Bachelor's degree in Health Informatics, Data Science, Computer Science, or a related discipline. License: Active Georgia Registered Nurse License Technical Expertise: Hands-on experience with data management systems, analytical tools, and data visualization platforms. Analytical Thinking: Demonstrated ability to interpret complex data sets and extract meaningful insights. Communication: Excellent written and verbal communication skills, with the ability to present complex findings clearly to diverse audiences. Detail-Oriented: High standards of accuracy and thoroughness in reporting and documentation. Teamwork: Strong interpersonal skills with a collaborative and adaptive approach to problem-solving. Knowledge, Skills, and Abilities: Proven ability to interface with senior leadership in a fast-paced healthcare setting. Strong computer proficiency and adaptability to new technologies. Effective project management, organizational, and critical thinking skills. Self-directed, resourceful, and reliable in meeting deadlines and priorities. Typical Physical Demands: Must be able to sit, stand, and walk for extended periods. Requires fine motor skills and visual acuity for routine computer use. Occasional bending, stooping, and lifting up to 20 pounds. Must have the ability to speak, read, and write clearly in English to perform job responsibilities.

A financial technology company is seeking a Head of Data Science in Atlanta to lead a team in utilizing advanced analytics and machine learning to drive business growth. This role requires 8+ years of experience in data science, proficiency in Python, and a proven ability to deliver measurable business outcomes in financial services. Competitive salary and benefits are provided, emphasizing the company's commitment to diversity and inclusion. #J-18808-Ljbffr

Ready to level up your career with a company that actually walks the talk when it comes to culture, growth, and flexibility? This is your shot. What You'll Do Implement and support TecSys WMS, SCM, and DM modules. Own system-level support for multi-user business applications and reporting tools - installation, configuration, training, troubleshooting, and user support. Translate business and operational requirements into smart, scalable technical solutions. Lead and contribute to project planning - defining goals, milestones, and timelines. Partner with internal teams to train and promote adoption of system capabilities. Keep things running smoothly through proactive maintenance, analysis, and issue resolution. This is a direct-hire hybrid role (one telecommute day with option to add a 2nd in the future) based in the north metro Atlanta area. Very flexible hours. Why You'll Love It Here This company has been recognized as one of the best places to work - and they mean it. Expect stellar benefits: company-matched retirement plan, tuition reimbursement, wellness programs, family leave, and more. What You Bring 2+ years working with TecSys Familiarity with workflow rules, custom expressions, and integration troubleshooting. Reporting tools: Jasper, Power BI, Excel (advanced). Labeling/printing tools: Bartender Designer. Solid understanding of server patching, device updates, and basic hardware support. Ability to gather, translate, and present business requirements clearly. Excellent communication and collaboration skills. Must pass standard background and drug screening. If you're looking for a role that blends technical challenge with a people-first environment - let's talk.

City/Cities: Atlanta Travel Required: 00% - 25% No Shift: Candidates are encouraged to apply to 3 or fewer internship roles during a given internship recruiting cycle Position Overview: The Coca-Cola Company's Technology organization is in the midst of a digital transformation that allows our employees to use world class technology to connect our products to our customers all over the world. This journey is a very exciting time for Coca-Cola and our employees are big contributors to our Success and Growth. Our large scale and complex environment offers an incredible opportunity to address challenges, enable innovative solutions to make a difference for our customers. As a Data Scientist Consultant, you will embark on a journey of leveraging vast amounts of data to transform it into actionable insights. You will aid in the development of analytics models and work under the guidance of seasoned data science professionals to drive decision-making and strategy across the organization. This is an exciting opportunity to grow in your career in data science and analytics within a supportive and innovative environment. What You'll Do for Us: Collaborate with cross-functional teams to understand business requirements and objectives. Translate business requirements by incorporating data and develop ML and AI algorithms to predict outcomes for various functional areas and use-cases, including Finance, Marketing, Supply Chain (among others) across the Globe. Leverage a diverse set of large structured and unstructured data to derive meaningful insights and information sets for modeling. Visualize and interpret data and create reports and actionable insights. Communicate complex analytical work to a variety of technical and non-technical stakeholders. Partner with Machine Learning Engineers and ML OPS to scale and operationalize ML and AI use-cases. Maintain technical documentation in accordance with the agreed standards. Build and maintain a robust library of data science solutions, reusable templates, algorithms and supporting code. Keep abreast of industry trends and developments in data science and analytics. Qualifications & Requirements: Bachelor's degree in a quantitative field, such as Data Science, Statistics, Computer Science, Economics, Finance, Mathematics or other quantitative discipline. Must be currently pursuing a Bachelor's degree or have graduated from their degree program no earlier than December 2025. Experience gathering, interpreting and translating business requirements. Experience with analytical and programming languages and packages, such as Python, R, and SQL. Able to understand various data structures and common methods in data transformation. Knowledge and experience applying a range of statistical and modeling techniques including hypothesis testing, dimensionality reduction, supervised learning (classification and regression), forecasting, and unsupervised clustering. Strong aptitude for learning and applying new technologies related to Data Science and Data Management. Demonstrated ability to communicate complex analytical concepts and results at multiple levels to both technical and non-technical audiences. Experience with code version control platforms like GitHub, GitLab or Azure DevOps. Functional Skills: Practical experience with as many of the following as possible: Handles multiple competing priorities in a fast-paced, deadline-driven environment Strong attention to details and excellent problem-solving skills Ability to work in a collaborative team environment Highly innovative, adaptable, and self-directed Results-oriented with a delivery focus Presentation skills: Ability to communicate technical topics to business audience. Be able to collaborate across other levels of the organization Team player who can lead a discussion to defined outcomes Effective Communication Pursuing Innovation What We Can Do for You: Innovation & Technology: The ability to work with an award-winning team that is on the cutting edge of innovation. Exposure to World Class Leaders: Availability to global technology leaders that will expand your network and exposure you to emerging technologies and techniques. Agile Work Environment: We embrace agile with management that believes in removing barriers, so you are empowered to experiment, iterate and innovate. Monthly Salary (undergraduate): $4,506 Location: Atlanta, Georgia Dates of Internship: May 18 - July 31, 2026 Skills: Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola. 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. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

City/Cities: Atlanta Travel Required: 00% - 25% No Shift: Candidates are encouraged to apply to 3 or fewer internship roles during a given internship recruiting cycle Position Overview (2-3 sentences): As a Summer Data Analyst Intern on the ARTD (Alcohol Ready to Drink) Global Development and Innovation team, you will support the team by analyzing consumer, market, product, and supply chain data to inform strategic decision‑making and innovation within the global ARTD category. You will assist with gathering, cleaning, analyzing, and visualizing data to improve how insights are generated and shared across the team. In addition to innovation and consumer analytics, the intern will also support supply chain by helping with shipment creation, extracting and analyzing delivery performance data at a lane level, and presenting findings to stakeholders. This role will work closely with cross‑functional partners across product development, supply chain, and analytics, offering hands‑on exposure to how data supports both innovation and operational performance in a fast‑paced environment. Function Related Activities/Key Responsibilities: (Top 5-8 core responsibilities): Collect, clean, and organize consumer, market, sales, and product data from internal and external sources to support analysis and reporting. Analyze performance trends within the ARTD category. Build and maintain basic dashboards, charts, and visualizations that communicate insights clearly. Assist with consumer insights analysis by summarizing survey data, concept tests, or usage & attitude research. Document analytical processes, assumptions, and findings to promote consistency, clarity, and knowledge sharing. Prepare concise summaries and presentations translating data into insights, learnings, and recommendations for internal stakeholders. Education Requirements: Must be currently pursuing a Bachelor's or Master's degree in Data Science/Analytics, Statistics, Business Analytics, Marketing Analytics, Economics, Computer Science, or related field or have graduated from their degree program no earlier than December 2025. Related Work Experience: Supply chain experience is a plus Experience conducting analysis for large organizations is a plus Functional Skills: Data cleaning and preparation Data analysis and visualization (Tableau, Power BI, Excel) Translating data into insight and recommendations Problem-solving mindset Comfort with ambiguity Able to work with evolving questions and incomplete data Compensation: Monthly Salary (undergraduate): $4,506 Monthly Salary (graduate): $6,066 Location: Atlanta, Georgia Dates of Internship: May 18 - July 31, 2026 Skills: Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola. 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. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.