Data analyst jobs in Sandy Springs, GA

The ideal candidate will use their passion for data and analytics to provide insights to the business covering a range of topics. They will be responsible for conducting both recurring and ad hoc analysis for business users. Responsibilities Understand the day-to-day issues that our business faces, which can be better understood with data Compile and analyze data related to business' issues Develop clear visualizations to convey complicated data in a straightforward fashion Qualifications Bachelor's or Master's degree in Statistics or Applied Mathematics or equivalent experience 1 - 2 years' Data Analysis experience Proficient in SQL

We are seeking a highly skilled GIS Data Analyst to support the creation, maintenance, and quality assurance of critical geospatial infrastructure data for enterprise-level Engineering initiatives. This role plays a key part in ensuring the accuracy and reliability of GIS data used across the organization - including compliance-related programs and operational analytics. The ideal candidate is a hands-on GIS professional with strong analytical skills, advanced geospatial editing experience, and the ability to interpret field data into accurate digital representations. PTC (Positive Train Control) and rail experience are preferred but not required. Key Responsibilities Create, modify, and quality-check geospatial infrastructure data for engineering and business operations Utilize GIS tools to ensure accurate topology and track geometry representation Convert field-collected spatial data into a validated digital rail network aligned with organizational standards Review, approve, and promote data change sets submitted by GIS/CAD technicians Conduct regular inventory analysis including track mileage, asset counts, and spatial measurements Collaborate with engineering sub-groups and business partners to support enterprise GIS initiatives Contribute to the preparation, assembly, and deployment of geospatial data to support compliance programs and corporate systems Support continuous improvement by recommending cost-saving initiatives leveraging GIS technologies Assist senior GIS staff in additional GIS responsibilities as needed Required Skills & Qualifications Advanced proficiency with GIS software, ideally ESRI tools (ArcGIS Pro, Desktop, geodatabase editing, topology management) Strong analytical, problem-solving, and data quality assurance capabilities Ability to interpret engineering drawings, field data, and spatial reference materials Familiarity working with infrastructure or utility network datasets Excellent communication and collaboration skills Bachelor's degree required - GIS, Computer Science, Software Engineering, IT, Geography, or related Preferred Qualifications (Nice to Have) Exposure to railroad infrastructure or linear transportation networks Experience supporting Positive Train Control (PTC) data models or compliance initiatives Working knowledge of CAD-to-GIS workflows Experience with Enterprise GIS deployments in large-scale organizations Soft Skills Detail-oriented data stewardship mindset Ability to make informed decisions and manage competing priorities Strong teamwork and communication in a technical environment

ABOUT OUR CLIENT: MP's client is in Atlanta, GA and has a mission to create a vibrant community of successful professional photographers by providing education, resources, and industry standards of excellence. MP's client has been in business for more than 150 years and while times change, their dedication to serving the members of the photography community remains constant. They are a partner, advocate and guide for photographers navigating the increasingly complex business of photography. They are also one of the world's largest nonprofit photography associations that is organized to help professional photographers with over 35,000 current members in more than 50 countries. WHAT YOU WILL DO: The Business Data Analyst (Data Analyst) will be responsible for making data work in an effort to enhance the experiences of the organization and its stakeholders. This person will be in charge of pulling, reviewing and analyzing data in order to better understand what client members are digesting, using and valuing from an end-user perspective. Job Responsibilities: Analyze data from various platforms, including NetForum (customer management software), Google Analytics, Google Ads, Meta Ads, Mailchimp, Hotjar, and social media platforms. Develop and maintain reports, dashboards, and visualizations that help the team optimize strategies and enhance our offerings for members. Continuously monitor and evaluate performance metrics to identify areas of improvement. WHAT YOU NEED: Bachelor's degree in Data Science, Statistics, Mathematics, or a related field. Two (2) years' experience in a data analysis or related role. Demonstrated experience analyzing data from various sources/databases and recommending improvements, new strategies or approaches to improve business outcomes. Proficiency in data analysis tools such as Excel, SQL, and Google Analytics Knowledge of Google Ads, Meta Ads, Mailchimp, and social media platforms. ADDITIONAL INFORMATION: Onsite Mon - Thurs., Remote on Fridays Location: Atlanta, GA (downtown Peachtree) Compensation: $55k-$65k annually Full benefits including medical, dental, vision, retirement, vacation, sick, etc.

Hello Hope you are doing well Job Title: Data Analytics & AI Delivery Lead 10+ Years of Experience Essential Duties and Responsibilities: We are seeking a highly motivated and experienced Delivery Leader to oversee the execution of strategic Analytics and AI projects. This individual will be responsible for ensuring on-time, high-quality delivery of initiatives across data and analytics programs, managing project organization, and serving as a critical bridge between business stakeholders and technical teams. This role requires strong delivery expertise across agile and waterfall methodologies, deep experience in stakeholder engagement, and familiarity with the Azure ecosystem, including tools like Synapse, Microsoft Fabric, Power BI, and Azure DevOps. The ideal candidate brings a track record of leading complex, cross-functional data initiatives with confidence, clarity, and consistency. Key Responsibilities: Lead end-to-end delivery of Analytics and AI projects, from initiation through implementation and transition to operations. Partner closely with business stakeholders to align project goals with strategic objectives and ensure value realization. Drive project planning activities including scoping, scheduling, resource planning, risk management, and reporting. Facilitate agile ceremonies or stage-gate processes based on project needs (Scrum or Waterfall). Serve as a liaison between technical teams and business functions to translate requirements and remove roadblocks. Ensure strong governance and compliance with delivery standards, documentation, and stakeholder communication. Track key metrics such as scope, budget, timeline, and benefit realization to ensure successful project outcomes. Contribute to the continuous improvement of delivery practices within the analytics and AI domain. Your qualifications Required: Bachelor's degree in Information Systems, Computer Science, Engineering, or a related field (Master's preferred). 8+ years of experience in project/program management with a focus on data, analytics, or AI initiatives. Demonstrated ability to manage complex, multi-disciplinary programs using Agile, Waterfall, and hybrid methodologies. Experience delivering projects involving Azure Data Services, including Synapse Analytics, Power BI, Microsoft Fabric, and Azure DevOps. Strong stakeholder management skills, with a proven ability to influence, communicate, and collaborate at all levels of the organization. Knowledge of data governance, data modeling, and AI/ML deployment frameworks is a plus. PMP, Scrum Master, or SAFe certification is advantageous. Preferred: Strong analytical mindset with the ability to understand and interpret technical details. Exceptional organizational skills and attention to detail. Comfortable managing ambiguity and driving clarity in evolving project environments. Proactive problem-solver with a focus on outcomes and team empowerment. Familiarity with tools like Jira, Azure Boards, or similar project tracking platforms. Thanks & Regards, Mittapalli Lalith Kumar Senior Technical Recruiter ***************************

Note: Initial 100% onsite required for the first six months. Employment Type: Permanent / Direct Hire / Full-time Salary Up to $180,000 (depending on experience) + bonus The Role: We're seeking a highly skilled and hands-on Data Architect to lead the design, implementation, and ongoing evolution of our enterprise-grade data systems. This role is crucial for building scalable, secure, and intelligent data infrastructure that supports core analytics, operational excellence, and future AI initiatives. Success requires a seasoned technologist who can seamlessly integrate cloud-native services with traditional data warehousing to create a modern, unified data platform. What You'll Do: Architecture & Strategy: Lead the design and implementation of modern data platforms, including Data Lakes, Data Warehouses, and Lakehouse architectures, to enable a single source of truth for the enterprise. Data Modeling & Integration: Architect unified data models that support both modular monoliths and microservices-based platforms. Design and optimize high-volume, low-latency streaming/batch ETL/ELT pipelines. Technical Leadership: Drive the technical execution across the entire data lifecycle. Build and optimize core data processing scripts using Spark and Python. Governance & Quality: Define and enforce standards for data governance, metadata management, and data observability across distributed systems. Implement automated data lineage tracking, schema evolution, and data quality monitoring. Cloud Infrastructure: Configure and manage cloud-native data services, including core data storage and event ingestion infrastructure. Required Experience: Experience: 10+ years of proven experience in enterprise data architecture and engineering. Core Platform Expertise: Strong, hands-on experience with the Azure Data Ecosystem including Azure Data Lake Storage (ADLS), Azure Synapse Analytics (or equivalent cloud DW), and Azure Purview (or equivalent data catalog). Processing: Deep expertise in Databricks (or Apache Spark) for ETL/ELT pipeline implementation, using Delta Lake and SQL Server (or equivalent RDBMS). Coding & Scripting: Strong proficiency in Python, Spark, and advanced SQL. Data Governance: Hands-on experience implementing data lineage tracking and data quality monitoring (e.g., using Great Expectations or dbt). Preferred Skills: Semantic Technologies: Hands-on experience developing ontology frameworks using OWL, RDF, and SPARQL to enable semantic interoperability. Advanced AI Data: Experience integrating structured/unstructured data into Knowledge Graphs and Vector Databases. Streaming/Telemetry: Experience developing and maintaining semantic telemetry pipelines using services like Azure Event Hubs or Kafka. Emerging Concepts: Exposure to linked data ecosystems, data mesh, or data fabric concepts.

We are building a team to drive a merger & acquisition! Please apply today if you are looking to make an impact + join a like-minded group of individuals. Sr Business Analyst Duration: Long-term/extending contract Pay: Targeting between 50-55/hour Location: 3-4 days onsite in ATL The Senior Business Analyst will play a critical role in bridging our business needs with the entire technical solutions team. This position is responsible for analyzing complex business processes, gathering requirements, and delivering actionable insights that drive strategic decisions and operational improvements. Core Responsibilities: o Business Analysis & Strategy: Evaluate business strategies and identify opportunities for improvement in efficiency, productivity, and profitability. o Requirements Gathering: Collect, document, and manage business and functional requirements throughout the project lifecycle. o Solution Design: Translate business needs into technical specifications and collaborate with IT teams to design and implement solutions. o Stakeholder Management: Act as a liaison between business units and technical teams, ensuring alignment and clear communication. o Process Improvement: Conduct gap analysis, benchmarking, and recommend process optimization strategies. o Testing & Implementation: Support testing phases, validate solutions, and assist in successful rollouts. o Reporting & Documentation: Prepare detailed reports, dashboards, and presentations for senior leadership. Must Haves: 5+ years of experience in an IT Business Analyst role Ability to write complex BRD, TRDs, and Agile artifacts Experience with SaaS/software migrations preferred Executive presence and ability to speak to non-technical audiences Plusses: Experience with M&A (mergers and acquisitions) Experience with Smartsheet

Role: Data Scientist Mode Of Hire: Full Time Key Responsibilities • Data wrangling & feature engineering: Ingest, clean, and transform data from SQL, APIs, and data lakes (e.g., Snowflake, Databricks). Design robust pipelines that feed into analytics and ML workflows. • Data understanding & exploration: Work closely with domain experts to deeply understand the meaning, context, quality, and limitations of available datasets. Translate business questions into data requirements and analytics plans. • Machine learning development: Build, tune, and validate predictive models using scikit-learn, SparkML, XGBoost, or TensorFlow. • Cross-functional partnership: Collaborate with marketing, sales, and product teams to scope business use cases, define success metrics, and integrate models into operational workflows. • Model deployment & MLOps: Deploy and manage models using MLflow, docker and CI/CD pipelines. Implement versioning, testing, performance monitoring, and retraining strategies as part of a robust MLOps practice. • Infrastructure support: Work with data engineering and DevOps teams to maintain and improve model training and deployment infrastructure, including compute resources, workflow orchestration and environment configuration. • Insight delivery: Build clear, actionable reporting and visualizations using tools like Power BI or Tableau. Focus on impact, not just analysis. Skills Required: • Bachelor's degree in Data Science, Computer Science, Engineering, or a related quantitative field. • 5+ years of experience in a data science, ML engineering, or analytics role. • Strong SQL, Python and ML Techniques programming skills. • Experience with Azure Cloud, Databricks, and/or Snowflake. • Experience building and deploying machine learning models in production environments. Hands-on experience with Databricks, including SparkML, and MLflow integration. • Familiarity with MLOps best practices, including version control, model monitoring, and automated testing. • Experience with tools such as Git, MLflow, Docker and workflow schedulers. • Ability to communicate complex technical work to non-technical stakeholders. • Experience with scalable model training environments and distributed computing. Preferred Qualifications • Master's degree in a quantitative or technical discipline. • Experience in financial services, fintech, or enterprise B2B analytics. • Knowledge of A/B testing, causal inference, and statistical experimentation. • Familiarity with GenAI, LLM pipelines, and vector-based retrieval is a plus and platform like Snowflake Cortex.

Care Logistics is seeking a detail-oriented, creative problem solver, and collaborative Business Analyst to join our Integrated Solutions team. The Business Analyst plays an integral role in the enterprise-wide operational transformation and technology implementation initiatives across our healthcare client base. This role is responsible for gaining an understanding of the client's current operations, assisting in designing the ideal future state, defining and managing the integration needed between Care Logistics software and client systems. The Business Analyst serves as a liaison between operations and technology teams to ensure implemented solutions deliver desired outcomes for both clients and the company. With an understanding of the desired future state, the capabilities of Care Logistics technology, and familiarity with hospital EMR systems, the Business Analyst is responsible for designing how to best leverage each technology investment and how data is exchanged between the various systems to achieve efficient, patient centered workflows. Internally at Care Logistics, the Business Analyst serves as a subject matter expert for product management, providing business process and integration knowledge to inform future products. The ideal candidate will have experience with HL7 messaging, and healthcare IT systems, and will thrive in a fast-paced, client-focused environment. ESSENTIAL RESPONSIBILITIES: Collaborate with cross-functional teams to gather business requirements, identify opportunities and translate them into technical specifications and actionable insights. Ability to grasp clinical processes and translate them into system requirements for technology teams. Analyze data from EMR, clinical and scheduling systems to identify additional functionality opportunities, and integration needs. Critically evaluate gathered information from multiple sources, reconcile conflicts, relate high level information to details, and distinguish user requests from underlying business problems/needs. Serve as a technical advisor to the internal organization's industrial engineers, Healthcare Operations Executives, as well as other roles. Participate in and co-lead virtual and in-person integration interviews, discussions, and project meetings with both internal and external teams. Help to design future state processes that align business requirements with the capability of the client's system and technology. Develop and execute interface test plans to validate integration processing and system response. Participate in go-live support and post-implementation optimization. Develop and maintain internal and external documentation. Provide input into developing and modifying client and Care Logistics systems to meet client needs. Collaborate with Client Services to ensure realization of client goals and estimated ROI. Other duties as assigned. QUALIFICATIONS - EDUCATION, WORK EXPERIENCE, CERTIFICATIONS: REQUIRED Bachelor's degree in Engineering, Information Technology or equivalent combination of education and experience 3-5 years of business analyst or related experience Outstanding analytical skills with the ability to critically evaluate the information gathered from multiple sources, reconcile conflicts, relate high-level information to details, and distinguish user requests from the underlying true business problem/needs. Ability to identify inefficiencies, propose solutions, and evaluate outcomes effectively. Above average observational skills to recognize opportunities, collect data and validate information Proficiency with Microsoft products such as Outlook, Word, Excel and PowerPoint. Comfort in leading discussions, facilitating interviews, and presenting findings to diverse audiences. PREFERRED Working knowledge of HL7 preferred. Experience with or knowledge of hospital processes is strongly desired. Experience with Electronic Health Records, EHR, platforms including ADT, clinical and ordering processes preferred. KNOWLEDGE, SKILLS, AND ABILITIES: Adaptability: Effectively copes with rapidly changing information and fast-paced environment. Ability to maintain confidentiality and use discretion. Time Management: Strong organizational and quality management skills with ability to handle multiple competing tasks and priorities. Customer Service: An ability to actively seek to understand the needs of others and provide a positive experience that addresses their needs, questions, and concerns. Ability to form a team bond and enhance team performance. Strong interpersonal skills with ability to effectively and tactfully communicate, in both written and verbal form, with a diverse group of stakeholders (prospects, clients, hospital executives, nurses, client development staff, product management staff, and development staff). TRAVEL REQUIREMENTS & WORKING CONDITIONS: 30-70% travel is required.

IDR is seeking a Technical Research Analyst to join one of our top clients in Atlanta, GA. This role offers a unique opportunity to delve into the convergence of data and power within the electrical industry. If you are eager to be part of a dynamic organization and thrive in a collaborative, team-oriented environment, we encourage you to apply today! Position Overview & Responsibilities for the Technical Research Analyst: Collaborate with leading corporations, educational institutions, and research centers on R&D projects. Conduct in-depth analysis of emerging technological trends in the convergence of data and power. Develop comprehensive documentation for research findings, technology evaluations, and market studies. Present research outcomes and technology roadmaps to executive teams, ensuring alignment with strategic goals. Required Skills for Technical Research Analyst: 3-5+ years of experience in Power, Electrical, or Industrial Engineering, with a focus on the electrical industry. Bachelor's degree in Business, IT, or a related field; advanced degrees preferred. Strong analytical skills to interpret complex data and trends. Experience with AI and ML in power or utility systems. Excellent interpersonal skills for effective collaboration and presentation. What's in it for you? Competitive compensation package Full Benefits; Medical, Vision, Dental, and more! Opportunity to get in with an industry leading organization Close-knit and team-oriented culture

Job Title: Technical Financial Analyst (Workday) Compensation: $125,000-$140,000 base + 9% annual bonus Schedule: Full-time, Hybrid About the Role We are supporting a leading organization in Atlanta seeking a Technical Financial Analyst with strong Workday Financials expertise. This role bridges finance and technology, ensuring business processes are optimized through effective Workday configuration, reporting, and integrations. You'll partner with finance and technology teams to deliver scalable solutions and drive process improvements. Key Responsibilities Configure Workday Financials modules supporting Q2C, OTC, P2P, and RTR processes. Develop reports, dashboards, and calculated fields to meet business needs. Perform and manage EIB imports while ensuring data integrity. Collaborate across teams to gather requirements, design solutions, and support enhancements. Document workflows and manage tasks using Jira, Confluence, SharePoint, and Visio. Provide support, training, and troubleshooting for Workday Financials. Stay current on Workday releases and recommend improvements. Qualifications 5+ years of experience in a Financial or Technical Analyst role with a focus on Workday Financials. Strong understanding of finance processes (Q2C, OTC, P2P, RTR). Hands-on experience with Workday configuration, reporting, and EIB imports. Proficiency with Jira, Confluence, SharePoint, Visio, and MS Office. Excellent communication and stakeholder management skills. Workday certifications preferred but not required. What's in it for You Base salary of $125,000-$140,000 plus 9% annual bonus. Hybrid schedule (3 days onsite, 2 remote). Collaborative environment with professional growth opportunities. Oscar Associates Limited (US) is acting as an Employment Agency in relation to this vacancy.

At MTech Systems, our company mission is to increase yield in protein production to help feed the growing world population without compromising animal welfare or damaging the planet. We aim to create software that delivers real-time data to the entire supply chain that allows producers to get better insight into what is happening on their farms and what they can do to responsibly improve production. MTech Systems is a prominent provider of tools for managing performance in Live Animal Protein Production. For over 30 years, MTech Systems has provided cutting-edge enterprise data solutions for all aspects of the live poultry operations cycle. We provide our customers with solutions in Business Intelligence, Live Production Accounting, Production Planning, and Remote Data Management-all through an integrated system. Our applications can currently be found running businesses on six continents in over 50 countries. MTech has built an international reputation for equipping our customers with the power to utilize comprehensive data to maximize profitability. With over 250 employees globally, MTech Systems currently has main offices in Mexico, United States, and Brazil, with additional resources in key markets around the world. MTech Systems USA's headquarters is based in Atlanta, Georgia and has approximately 90 team members in a casual, collaborative environment. Our work culture here is based on a commitment to helping our clients feed the world, resulting in a flexible and rewarding atmosphere. We are committed to maintaining a work culture that enhances collaboration, provides robust development tools, offers training programs, and allows for direct access to senior and executive management. Job Summary MTech builds customer-facing SaaS & analytics products used by global enterprise customers. You will own the database/data platform architecture that powers these products-driving performance, reliability, auditability, and cost efficiency at multi-tenant, multi-terabyte scale. Success is measured in hard outcomes: fewer P1s/support tickets, faster queries, bullet-proof ERP/SAP integrations, SLO compliance tied to SLAs, and audit ready evidence. Responsibilities and Duties Architecture & Design Own the end-to-end data architecture for enterprise SaaS (OLTP + analytical serving), including Azure SQL/MI, Databricks/Delta Lake, ADLS, Synapse/Fabric, and collaboration on Power BI semantic models (RLS, performance). Define and implement Information Lifecycle Management (ILM): hot/warm/cold tiers, 2-year OLTP retention, archive/nearline, and a BI mirror that enables rich analytics without impacting production workloads. Engineer ERP/SAP financial interfaces for idempotency, reconciliation, and traceability; design rollback/de-dup strategies and financial journal integrity controls. Govern schema evolution/DbVersions to prevent cross-customer regressions while achieving performance gains. Establish data SLOs (freshness, latency, correctness) mapped to customer SLAs; instrument monitoring/alerting and drive continuous improvement. Operations & Observability Build observability for pipelines and interfaces (logs/metrics/traces, lineage, data quality gates) and correlate application telemetry (e.g., Stackify/Retrace) with DB performance for rapid rootcause analysis. Create incident playbooks (reprocess, reconcile, rollback) and drive MTTR down across data incidents. Collaboration & Leadership Lead the DBA/DB engineering function (standards, reviews, capacity planning, HA/DR, on-call, performance/availability SLOs) and mentor data engineers. Partner with Product/Projects/BI to shape domain models that meet demanding customer reporting (e.g., Tyson Matrix) and planning needs without compromising OLTP. Required Qualifications 15+ years in data/database engineering; 5-8+ years owning data/DB architecture for customerfacing SaaS/analytics at enterprise scale. Proven results at multi-terabyte scale (≥5 TB) with measurable improvements (P1 reduction, MTTR, query latency, cost/performance). Expertise in Azure SQL/MI, Databricks/Delta Lake, ADLS, Synapse/Fabric; deep SQL, partitioning/indexing, query plans, CDC, caching, schema versioning. Audit & SLA readiness: implemented controls/evidence to satisfy SOC 1 Type 2 (or equivalent) and run environments to SLOs linked to SLAs. ERP/SAP data interface craftsmanship: idempotent, reconciled, observable financial integrations. ILM/Archival + BI mirror design for queryable archives/analytics without OLTP impact. Preferred Skills Power BI performance modeling (RLS, composite models, incremental refresh, DAX optimization). Modular monolith/microservices experience (plus, not required). Semantic tech (ontology/knowledge graphs), vector stores, and agentic AI orchestration experience (advantage, not required). EEO Statement Integrated into our shared values is MTech's commitment to diversity and equal employment opportunity. All qualified applicants will receive consideration for employment without regard to sex, age, race, color, creed, religion, national origin, disability, sexual orientation, gender identity, veteran status, military service, genetic information, or any other characteristic or conduct protected by law. MTech aims to maintain a global inclusive workplace where every person is regarded fairly, appreciated for their uniqueness, advanced according to their accomplishments, and encouraged to fulfill their highest potential. We believe in understanding and respecting differences among all people. Every individual at MTech has an ongoing responsibility to respect and support a globally diverse environment.

Visa Type : Only US Citizen. We are looking for a highly experienced and strategic Senior Business Analyst to lead our Opportunity Intelligence and Identification function. This role is critical in driving revenue growth, identifying new business opportunities, and enabling data-driven decision-making. The ideal candidate will excel at analysing market trends, customer behaviour, competitive insights, financial metrics, and operational performance to uncover actionable growth opportunities. Key Responsibilities Opportunity Intelligence & Market Insights Develop and manage frameworks for opportunity intelligence, including early trend detection, whitespace analysis, and unmet customer needs. Evaluate market dynamics, macro trends, and competitive moves to identify new business, product, or segment opportunities. Partner with Sales, Marketing, and Product teams to translate insights into growth initiatives and strategic recommendations. Conduct customer segmentation, profiling, and opportunity sizing to understand high-value markets. Data-Driven Opportunity Identification Lead comprehensive data analytics to uncover growth opportunities across pipelines, accounts, channels, and product portfolios. Build predictive models and scoring mechanisms to identify high-probability opportunities and risk segments. Perform root-cause analysis on opportunity losses and pipeline leakage to recommend corrective strategies. Assess financial attractiveness of opportunities through ROI, pricing scenarios, and profitability modelling. Strategic Advisory & Stakeholder Influence Serve as a strategic advisor to leadership on opportunity prioritization and go-to-market strategies. Present insights, dashboards, and recommendations to senior stakeholders in a clear, compelling manner. Facilitate cross-functional collaboration between Sales, Product, Marketing, Pricing, and Finance. Influence decision-making through scenario analysis, business cases, and strategic storytelling. Process Excellence & Governance Enhance Opportunity Management frameworks, tools, and methodologies across the organization. Improve accuracy of opportunity forecasting and pipeline visibility through data governance and process optimization. Partner with CRM/Analytics teams to enhance dashboards, scoring models, and intelligence automation. Establish KPIs to measure opportunity quality, conversion, and strategic impact. Qualifications & Skills Bachelor's/master's degree in business, Data Analytics, Strategy, Economics, or related field. 10+ years of experience in Business Analysis, Strategy, Sales Operations, Market Intelligence, or similar analytical roles. Proven track record in opportunity identification, market analysis, competitive intelligence, and strategic insights. Strong analytical and quantitative skills with hands-on experience in: CRM systems (Salesforce, Dynamics, etc.) BI tools (Power BI, Tableau, Qlik) Advanced Excel, SQL, or analytics platforms Exceptional communication skills with the ability to influence senior leaders. Strong business acumen with understanding of go-to-market strategy, sales motions, and market dynamics. Ability to work cross-functionally in fast-paced, ambiguous environments. Experience creating business cases, financial models, and opportunity frameworks. If I missed your call ! Please drop me a mail. Thank you, Harish Talent Acquisition Astir IT Solutions, Inc - An E-Verified Company Email:******************* Direct : ***********788 50 Cragwood Rd. Suite # 219, South Plainfield, NJ 07080 ***************

Role: ML Engineer with Timeseries data experience Hybrid in Atlanta, GA (locals preferred) $58/hr on C2C, Any Visa Model Development: Design, build, train, and optimize ML/DL models for time-series forecasting, prediction, anomaly detection, and causal inference. Data Pipelines: Create robust data pipelines for collection, preprocessing, feature engineering, and labeling of large-scale time-series data. Scalable Systems: Architect and implement scalable AI/ML infrastructure and MLOps pipelines (CI/CD, monitoring) for production deployment. Collaboration: Work with data engineers, software developers, and domain experts to integrate AI solutions. Performance: Monitor, troubleshoot, and optimize model performance, ensuring robustness and real-world applicability. Languages & Frameworks: Good understanding of AWS Framework, Python (Pandas, NumPy), PyTorch, TensorFlow, Scikit-learn, PySpark. ML/DL Expertise: Strong grasp of time-series models (ARIMA, Prophet, Deep Learning), anomaly detection, and predictive analytics Data Handling: Experience with large datasets, feature engineering, and scalable data processing.

Job Description: GCP Data Engineer Rate: $50/hr. on W2 (No C2C) We are seeking a highly skilled GCP Data Engineer to design, build, and optimize cloud-native data pipelines and analytics solutions on Google Cloud Platform. The ideal candidate has strong experience with Python, BigQuery, Cloud Data Fusion, and core GCP services such as Cloud Composer, Cloud Storage, Cloud Functions, and Pub/Sub. This role requires a strong foundation in data warehousing concepts and scalable data engineering practices. Responsibilities Design, develop, and maintain robust ETL/ELT pipelines on Google Cloud Platform. Build and optimize data workflows using Cloud Data Fusion, BigQuery, and Cloud Composer. Write efficient and maintainable Python code to support data ingestion, transformation, and automation. Develop optimized BigQuery SQL for analytics, reporting, and large-scale data modeling. Utilize GCP services such as Cloud Storage, Pub/Sub, and Cloud Functions to build event-driven and scalable data solutions. Ensure data quality, governance, and reliability across all pipelines. Collaborate with cross-functional teams to deliver clean, trusted, production-ready datasets. Monitor, troubleshoot, and resolve performance issues in cloud data pipelines and workflows. Must-Have Skills Strong experience with GCP BigQuery (data modeling, SQL development, performance tuning). Proficiency in Python for data engineering and pipeline automation. Hands-on experience with Cloud Data Fusion for ETL/ELT development. Working experience with key GCP services: Cloud Composer Cloud Storage Cloud Functions Pub/Sub Strong understanding of data warehousing concepts, star/snowflake schemas, and best practices. Solid understanding of cloud data architecture and distributed processing. Good-to-Have Skills Experience with Vertex AI for ML pipeline integration or model deployment. Familiarity with Dataproc (Spark/Hadoop) for large-scale processing. Knowledge of CI/CD workflows, Git, and DevOps best practices. Experience with Cloud Logging/Monitoring tools.

****************Individual Contractors (W2/1099) are encouraged to apply. Visa sponsorship is not available for this role at this time************ An Azure Data Engineer is responsible for designing, implementing, and maintaining the data infrastructure within an organization. They collaborate with both business and IT teams to understand stakeholders' needs and unlock the full potential of data. They create conceptual and logical data models, analyze structural requirements, and ensure efficient database solutions. Must Have Skills: Experience of Migrating from other platform to Databricks Proficiency in Databricks and Azure Cloud, Databricks Asset Bundles, Hoslistic vision on the Data Strategy. Proficiency in Data Streaming and Data Modeling Experience in architecting at least two large-scale big data projects Strong understanding of data scaling and its complexities Data Archiving and Purging mechanisms. Job Requirements • Degree in computer science or equivalent preferred • Demonstrable experience in architecture, design, implementation, and/or support of highly distributed applications with Azure cloud and Databricks. • 10+ Years of Hands-on experience with data modelling, database design, data mining, and segmentation techniques. • Working knowledge and experience with "Cloud Architectures" (e.g., SaaS, PaaS, IaaS) and the ability to address the unique security considerations of secure Cloud computing • Should have architected solutions for Cloud environments such as Microsoft Azure and/or GCP • Experience with debugging and performance tuning in distributed environments • Strong analytical skills with the ability to collect, organize, analyse, and broadcast significant amounts of information with attention to detail and accuracy • Experience dealing with structured, unstructured data. • Must have Python, PySpark experience. • Experience in ML or/and graph analysis is a plus

Our technology organization is transforming how we work at WestRock. We align with our businesses to deliver innovative solutions that: Address specific business challenges, integrate processes, and create great experiences Connect our work to shared goals that propel WestRock forward in the Digital Age Imagine how technology can advance the way we work by using disruptive technology We are looking for forward thinking technologists that can accelerate our focus areas such as building stronger foundational technology capabilities, reducing complexity, employing digital transformation concepts, and leveraging disruptive technology. As a Lead Data Engineer, you will play a pivotal role in building and scaling modern data infrastructure that powers decision-making across production, supply chain, and operations. Helps to define and analyze business requirements for Enterprise scale reports. Analyzes and evaluates business use cases for data engineering problems and helps design and develop processing solutions with ETL Cloud based technologies. How you will impact WestRock: Architect and implement scalable data pipelines using Palantir Foundry (pipelines, workshops, ontology) to unify and transform operational data. Design and develop robust data workflows using Python, Apache Airflow, and Apache Spark to support real-time and batch processing needs. Build and deploy solutions on cloud platforms (AWS or Azure), ensuring high availability, security, and performance. Collaborate with data scientists, analysts, and operations teams to deliver actionable insights and operational tooling. Define and enforce data engineering best practices, including CI/CD automation, version control (Git), and testing strategies. Mentor junior developers, conduct code reviews, and help shape the technical roadmap for the data platform. What you need to succeed: Education: Bachelor's degree in computer science or similar At least 6 years of strong Data Engineering experience Hands-on experience with Palantir Foundry, including pipelines, ontology modeling, and workshop development. Strong programming skills in Python or Java, with experience building and maintaining production-grade data pipelines. Proficiency in Apache Airflow and Apache Spark for workflow orchestration and large-scale data processing. Proven experience deploying data solutions on AWS or Azure, with strong understanding of cloud-native services. Familiarity with Git for version control and CI/CD pipelines for automated testing and deployment. Demonstrated ability to mentor junior engineers, lead projects, and work independently in a fast-paced environment. Good communication skills, with the ability to collaborate effectively across technical and non-technical teams. Good analytical and troubleshooting abilities. What we offer: Corporate culture based on integrity, respect, accountability and excellence Comprehensive training with numerous learning and development opportunities An attractive salary reflecting skills, competencies and potential A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work.

Experience Level: Entry-level (Master's preferred) About OrcaWorks AI At OrcaWorks AI, we're building next-generation AI systems that empower businesses to make data-driven decisions with intelligence and speed. We're seeking passionate Data Engineers who love solving real-world data challenges and want to be part of a growing team building cutting-edge AI infrastructure. Key Responsibilities Design, develop, and maintain data pipelines using tools like Airbyte and Prefect to feed AI and machine learning models. Integrate data from multiple structured and unstructured sources into unified and queryable layers using ElasticSearch or Vespa. Implement data validation, transformation, and storage solutions using modern ETL frameworks. Collaborate with AI, LLM, and data science teams to ensure reliable and optimized data flow for model training. Support database management, SQLModel, and data governance practices across services. Required Skills & Qualifications Master's degree (or Bachelor's with equivalent experience) in Computer Science, Information Systems, or Data Engineering. Proficiency in Python and SQL; experience with PySpark or equivalent ETL frameworks. Hands-on experience with Airbyte, Prefect, and DBT. Familiarity with search and indexing systems like Vespa or ElasticSearch. Knowledge of cloud data platforms (AWS, GCP, or Azure) and API integration. Strong understanding of data security and applied AI workflows.

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.

We're looking for a Data Engineer to build and maintain scalable data pipelines and cloud data infrastructure on GCP. The role focuses on BigQuery, Dataflow, and modern ETL/ELT to support analytics and ML workflows. MUST HAVES A problem solver with ability to analyze and research complex issues and problems; and proposing actionable solutions and/or strategies. Solid understanding and hands on experience with major cloud platforms. Experience in designing and implementing data pipelines. Must have strong Python, SQL & GCP skills Responsibilities Build and optimize batch/streaming pipelines using Dataflow, Pub/Sub, Composer. Develop and tune BigQuery models, queries, and ingestion processes. Implement IaC (Terraform), CI/CD, monitoring, and data quality checks. Ensure data governance, security, and reliable pipeline operations. Collaborate with data science teams and support Vertex AI-based ML workflows. Must-Have Must have strong Python, SQL & GCP skills 3-5+ years of data engineering experience. Hands-on GCP experience (BigQuery, Dataflow, Pub/Sub). Solid ETL/ELT and data modeling experience. Nice-to-Have GCP certifications, Spark, Kafka, Airflow, dbt/Dataform, Docker/K8s.