Remote Data Engineering & Analytics Jobs

Tiger Analytics is looking for experienced Data Scientists GenAI to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world. We are seeking a highly skilled and experienced Lead Data Scientist with strong expertise in GenAI modelling. The ideal candidate will have a proven track record of designing, developing, and deploying scalable GenAI solutions, while leading projects and mentoring teams. This role requires deep technical expertise, hands-on coding experience, and the ability to collaborate closely with clients and stakeholders to translate business needs into robust analytical solutions. Responsibilities: Work on the latest applications of data science to solve business problems Work directly with client stakeholders to translate business problems into high level analytics solution designs Present analytic solutions to business audiences highlighting robustness of the solution and how it could help generate business value Develop end-to-end solutions based on in-depth understanding of business problems to ensure analytics solutions are

PM2CM , Inc., (Project Management to Construction Management) is a professional services company and certified SBE and DBE, dedicated to providing Program and Project Management, Construction Management and Project Controls services during the design and construction phase of projects. Our expertise is in Project Controls which includes Scheduling, Cost Controls, Document Management and Controls, Budget tracking and monitoring, Estimating, Risk Analysis, Claims avoidance and Mitigation, Change Management and Earned Value Management. Our goal is simple: To offer and deliver the “best in class” project management, construction management and project controls services that allow our clients to build with confidence. To achieve these objectives, we will strive to have a sound and complete understanding of the project scope and our client’s corporate needs. We shall provide our services with integrity and stellar professionalism and hire the best qualified professionals. This is a remote role with periodic in-person team meetings in Pomona, CA . About the Role: We are seeking an experienced Senior Data Engineering & Analytics Lead to drive data strategy, build scalable data infrastructure, and deliver actionable insights that support strategic decision-making across the organization. Key Responsibilities: Lead the design, development, and deployment of scalable data engineering solutions , including ETL, data modeling, and data pipeline architecture for large and complex datas

Clinical Data Manager - Early Phase – full remote or hybrid Do you have experience leading data management activities across early phase studies? Are you looking for a new challenge in an environment where youwill be closely supported by your Manager, peers and Senior Leaders in your team? Perhaps you are seeking to gain further experience in new therapeutic areas. Join our growing team and discover your extraordinary potential by working as a Clinical Data Manager within our Early Phase team. What you can expect from us Office based or home based anywhere in the listed countries Rewarding and meaningful work in an established, diverse, highly profitable and respected global company Highly competitive compensation packages, including various local benefits such as pension contributions, complimentary health insurance plans, remote working allowances etc. A genuine work life balance Flexibility in working hours A thorough onboarding with support from your personal mentor A permanent employment contract with Fortrea Drug Development and a rewarding career progression Your responsibilities Lead studies including (but not limited to) a combination of healthy volunteer and patient populations, multi-site, client management required or reduced timelines. Ability to organize and effectively prioritize workload and deliverables. Be accountable for all DM deliverables as assigned per the established timeline; providing instruction to their DM study team(s) and review of their study te

The Data Engineering team is developing the backbone of *** solutions. To do this, the team is using cutting-edge technologies and frameworks such as BigQuery, Spanner, Bigtable, Dataprocto process and analyze data, to help create the pipelines required to handle millions of events daily, and collaborate with the data science team to enable the innovative work inmachine learning and AIto be utilized in our production environment. Responsibilities: Contribute to the development of *** Micro Batch/Real Time streaming pipelines (lambda architecture) Work closely with the engineering team on data preprocessing and data structure Collaborate with key stakeholders to drive the architecture strategies Participate in architecture reviews Maintain a culture of innovation, in an environment that requires high levels of scalability, security, and reliability Qualifications: BA/BS or MS degree in Computer Science preferred, or equivalent work experience Understanding of distributed data systems Previous experience with Java and Scala Previous experience working with big data tools such as Bigtable, Apache Spark, Apache Spark Streaming, Apache Heron, BigQuery Preferred: Google Cloud, Kubernetes Experience running production Golang systems, Infrastructure background, Low Latency / High Throughput Architectural System Designs Strong interest in data engineering Eagerness to learn new technologies on the fly and ship to production Knowledge in data science is a plus Experience working on div

The Data Engineering team is developing the backbone of *** solutions. To do this, the team is using cutting-edge technologies and frameworks such as BigQuery, Spanner, Bigtable, & Dataproc to process and analyze data, to help create the pipelines required to handle millions of events daily, and collaborate with the data science team to enable the innovative work in machine learning and AI to be utilized in our production environment. Responsibilities: Contribute to the development of *** Micro Batch/Real Time streaming pipelines (lambda architecture) Work closely with the engineering team on data preprocessing and data structure Ability to lead and develop team of data engineers Help mentoring the data engineering team and leading the data engineering initiatives Collaborate with key stakeholders to drive the architecture strategies Participate in architecture reviews Maintain a culture of innovation, in an environment that requires high levels of scalability, security, and reliability Qualifications: BA/BS or MS degree in Computer Science preferred, or equivalent work experience Understanding of distributed data systems Previous leadership and team management experience Previous experience with Java and Scala Previous experience working with big data tools such as Bigtable, Apache Spark, Apache Spark Streaming, Apache Heron, BigQuery Preferred: Google Cloud, Kubernetes Experience running production Golang systems, Infrastructure background, Low Latency / High Throughput

Human Power BG is an HR agency that offers consultations and recruitment for some of the best companies in Bulgaria. ~~~ Our client was founded in 2006. For almost 6 years they work as an offshore team of Pepper.com, lead German company in social ecommerce marketing with sites in lots of countries (Germany, France, Canada, United Kingdom, Mexico etc.). Their developers are working on core projects such as B2B systems, extending the functionality of the platform, AI/ML, data engineering and others. The monthly active users to their system reach over 30 million visitors. Being a member of their Data Analytics team, you and your teammates will be a catalyst for change in how their organization stores, processes and utilizes data. The ultimate goal is ,via data, to give their business units a more thorough insight into their customers' behaviors. About your new role: Help us to maintain and improve an in-house data warehouse that enables data analysis and data-driven decisions for the whole organization; - Build and manage ETL workflows to integrate data from many sources into a single source; - Design a framework to ensure data is accessible, up-to-date, secure, consistent and complete; Skills & Requirements: --Experience in design and development of Data Warehousing - Strong skills in any ETL tool (Airflow, SSIS, etc.) - Strong skills in SQL and Python Experience with columnar database (Clickhouse, BigQuery, Redshift) - A strong database knowledge and experience, optimizati

Software Developer/Data Engineer - 12 Month Contract Educational Qualifications BSc Computer Science / BEng Professional Qualifications AWS Professional Certification Years of Experience 4 to 8 years of Data Engineering or Software Development experience working on Data-Driven ecosystems Skills / Requirements 4 to 8 years of Data Engineering or Software Development experience working on Data-Driven ecosystems Required to code complex transformations using loader specifications provided by the BA Experience working with Big Data sets and solving data-related challenges Ability to automate ingestion by building ingestion pipelines using AWS Lambda or Glue Proficiency in coding languages: PySpark, Python, SQL Hands-on experience with AWS services , including S3, Athena, Lambda Functions, GLUE, EC2 AWS experience and AWS certification required Experience in data modeling and data architecture design Key Responsibilities Implement scalable data pipelines and architectures using PySpark, Python, SQL Build distributed data pipelines and compute tiers operating on AWS Lambda and Glue Serve as a technical resource for team members and mentor junior engineers Collaborate with the team to deliver high-quality solutions that meet business requirements Ensure code is well-designed, maintainable, and follows best practices and standards Play a key role in shaping engineering practices by working in a scrum team to ensure sprint deliverables are met Utilize project development tools such as

Minimum Requirements: Bachelor's or Honors degree in Computer Science, Software Engineering, Information Systems, or a related field. 4 to 5+ years of experience in data engineering, database administration, or a related field. Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle. Experience with data warehousing and ETL tools such as Apache Airflow, Talend, or Informatica. Knowledge of data modeling, data architecture, and database design principles. Strong programming skills in languages such as Python, Java, or Scala. Understanding of distributed systems, cloud infrastructure, and big data technologies such as Hadoop, Spark, or Kafka. Knowledge of data governance, data privacy, and regulatory compliance is a plus. Excellent communication and collaboration skills, with the ability to work effectively in a team environment. Responsibilities: As a Data Engineer, you will be responsible for designing, building, and maintaining the infrastructure and systems that enable efficient data processing, storage, and retrieval. You will work closely with data scientists, analysts, and other stakeholders to ensure the availability and reliability of data for analysis and decision-making. Your expertise in data architecture, ETL processes, and database design will be essential in ensuring the integrity and quality of data throughout its lifecycle Originally posted on Himalayas

Senior Data Engineer/Analyst - 3 Year Contract Qualifications & Experience: Must-Have: Bachelors or Masters degree in Computer Science, Data Science, Engineering, Mathematics, or a related field. 5+ years of experience in data engineering, analytics, or BI development. Strong proficiency in SQL and Python for data manipulation and transformation. Experience with ETL/ELT processes, data modeling, and data warehousing concepts. Expertise in cloud platforms (AWS, Azure, or GCP) and big data tools (Spark, Snowflake, Databricks, Kafka). Familiarity with data visualization tools (Power BI, Tableau, Looker). Nice-to-Have: Experience with AI/ML model deployment for predictive analytics. Knowledge of DevOps for data (CI/CD, Infrastructure-as-Code). Certifications in AWS Data Analytics, Azure Data Engineer, or Google Cloud Professional Data Engineer. Responsibilities: Data Engineering & Architecture: Design, develop, and maintain scalable and efficient ETL pipelines for data ingestion, transformation, and storage. Build and optimize data warehouses, data lakes, and real-time streaming solutions to support business intelligence and analytics needs. Ensure data quality, integrity, and security across all data processing workflows. Collaborate with Data Scientists, Analysts, and Software Engineers to design data models that enable advanced analytics. Implement data governance, cataloging, and lineage tracking to ensure transparency and compliance. Data Analysis & Business Inte

Key purpose: We are seeking a Senior Oracle DBA with expertise in Oracle Cloud to join our team. In this role, you will be responsible for ensuring the performance, integrity, and security of complex databases and processes. You will design, implement, and administer Oracle database management systems, working closely with other technical teams to meet client needs and ensure secure access. Your responsibilities will include installing, administering, and maintaining database servers, managing access permissions, optimizing database performance, and ensuring database recoverability in the event of a disaster. To excel in this role, you should have a deep understanding of the Oracle ecosystem, strong familiarity with cloud architecture and services, and possess the technical skills necessary to deploy, manage, and maintain databases in the cloud. Duties and responsibilities: Provide input into the Presales and Sales processes Accurate timekeeping Respond to customer requests Work with technical contacts from other teams or external partners on integration projects Business consulting in database environments as well as architecting solutions to customer requirements and ensuring that solutions are built to specification and client requirements. Ability to provide on-call and 24x7 DBA support when applicable Perform database administration, maintenance, performance tuning, security, and troubleshooting Provide daily health check reports Develop, maintain, perform, and test data

Responsibilities: Prepare for projects, discussing the goals and expectations with the customer and building specifications Researching best practices or components required for projects Technical delivery of Elastic and Kafka solutions using Kubernetes based deployment models. Solution design, development, and integration of Elastic & Kafka products and APIs, platform architecture, and capacity planning in mission-critical environments Monitor, upgrade, patch and support Elastic & Kafka deployments. Track tickets in support desk and project tasks in project boards. Build strong relationships with customers. Writing or editing documentation and knowledge bases Data modeling, query development and optimization, cluster tuning and scaling Solving customers data challenges Engineering our solutions for automation using helm Engaging with our Sales and Pre-Sales teams to assist with solution scoping and identifying technical risks or concerns Honing your skills by completing certifications on our product stacks. Comfortable working remotely in a highly distributed team Requirements: Hands-on experience and an understanding of Elasticsearch and/or Lucene OR Apache Kafka. Having both would be a bonus. Experience building and operating in-production Big Data, stream processing, observability and/or enterprise data integration solutions Minimum of 2 years experience as a Software Engineer, System Administrator, or DevOps Engineer Knowledge of information retrieval and/or anal

Minimum requirements: Responsibilities: Accountable for producing a consistent and easily accessible data layer that exposes accurate representations of business rules. Responsibilities will include - ETL development - Storage management - Data Provisioning Database development and maintenance Develop high quality data retrieval, storage & distribution design and architecture in a test driven & domain driven / cross domain environment Design and deploy solutions in conjunction with other business units to improve efficiency and consistency of delivery. Guide the process to maintain a reflexive and pre-emptive space with strong customer focus Create & Maintain Sophisticated CI / CD Pipelines (authoring & supporting CI/CD pipelines in Jenkins or similar tools and deploy to multi-site environments supporting and managing your applications all the way to production) Take accountability for deeply understanding the technical landscape and bank wide architecture that is connected to or dependent on the business area supported in order to effectively design & deliver data solutions (architecture, pipeline etc.) Leverage state of the art relational and No-SQL databases as well integration and streaming platforms do deliver sustainable business specific data solutions. Strategically & operationally monitor the performance of data products and services ensuring ongoing optimization & cost to value for our businesses (think bank wide) Automate tasks through a

Intermediate Data Engineer Minimum Requirements: Matric (Grade 12) Masters in Software Engineering, Data Engineering, Computer Science or related field 2-3 years of relevant work experience Strong Scala or Java background Knowledge of AWS, GCP, Azure, or other cloud platform Understanding of data modeling principles Ability to work with complex data models Experience with relational and NoSQL databases (e.g. Postgres, ElasticSearch/OpenSearch, graph databases such as Neptune or neo4j) Experience with technologies that power analytics (Spark, Hadoop, Kafka, Docker, Kubernetes) or other distributed computing systems Knowledge of API development and machine learning deployment Responsibilities: Build and scale data infrastructure that powers real-time data processing of billions of records in a streaming architecture Build scalable data ingestion and machine learning inference pipelines Build general-purpose APIs to deliver data science outputs to multiple business units Scale up production systems to handle increased demand from new products, features, and users Provide visibility into the health of our data platform (comprehensive view of data flow, resources usage, data lineage, etc) and optimize cloud costs Automate and handle the life-cycle of the systems and platforms that process our data Originally posted on Himalayas

Lead Data and AI Engineer Key Responsibilities: Lead and Inspire Drive the vision, execution, and continuous improvement of the company's data and AI team. Mentor a high-performing team, instilling best practices and innovative thinking. Align projects with business strategy and deliver outcomes that matter. Engineer & Innovate Design robust, scalable data pipelines and integrate diverse data sources. Champion best-in-class data governance, quality, and architecture standards. Partner with product and engineering to create data-driven solutions for real-world challenges. Drive Generative AI Strategy Shape the company' s roadmap for generative AI. Build and prototype cutting-edge AI tools that support both clients and internal teams. Advocate for ethical, impactful AI across the organisation. Communicate with Impact Deliver insights through interactive dashboards and automated reports. Present strategic data narratives to executives and stakeholders. Foster data literacy company-wide through training and knowledge sharing. What Were Looking For A degree in a STEM field (BSc, BEng, or higher). Hands-on experience in Python, SQL, and modern AI/ML frameworks. Strong knowledge of cloud platforms, especially AWS. Expertise in building and scaling data architectures and pipelines using Airflow. Proficiency in Power BI for creating and managing data visualisations and dashboards. Solid understanding and experience with MySQL database management and querying. Leadership skills tha

Key purpose: To ensure the proper functioning of our company's erwin suite of products, (erwin Data Modeler and Data Intelligence) for data modeling and metadata management. This hands-on position will ensure the daily functioning of these environments in respect of access, performance and storage management. The scope includes ensuring the solutions are healthy and is used according to architectural standards and configuration specifications. To ensure the technical and architectural integrity of the system environments and its repositories, extract database schema information and metadata from various source databases as well as the publishing of DDLs to development environments and enable the use and maintenance of an enterprise data glossary. This position will work with data modelers and architects to ensure their knowledge assets are properly crafted, reviewed, stored and accessed. The position will report to the Architecture Practice Manager and work closely with the Data Domain Architect This is a specialist position and entails detailed system knowledge. Duties and responsibilities: Support, administrate and maintain the enterprise modeling and metadata management capabilities using erwin Data Modeler and erwin Data Intelligence Ensure the usability and value of the company metadata and models Support the Data Architecture capability and data practice at Enterprise level Ensure system health and the pro-active management of system resources to ensure that performance

Key roles and responsibilities: Undertake the processing of structured and unstructured data to utilize in data science activities. Support the data analysis of large information to discover trends and patterns and provide feedback to the business. Assist in designing and implementing scalable and robust processes for ingesting and transforming datasets. Design, implement, and support the creation and maintenance of data pipelines from a multitude of sources. Ingest large, complex data sets that meet functional and non-functional requirements. Request For Change (RFC) management in Amazon Managed Services (AMS) (logging, escalation, resolution) Provisioning infrastructure in AWS (via RFC process, CloudFormation, Console) AWS Security Management (authoring IAM security policies, logging security requests, user management/permissions) Infrastructure As Code (development of CloudFormation templates) Development, deployment, and management of CICD (Continuous Integration Continuous Deployment ) pipelines. Linux and Windows System Administration within AWS (SSH, RDP). Design and build bulk and delta data lift patterns for optimal extraction, transformation, and loading of data. Supports the organisations cloud strategy and aligns to the data architecture and governance including the implementation of these data governance practices. Work with various stakeholders across the organization to understand data requirements and apply technical knowledge of data management to solve key b

Summary of the Role Data Solutions Architect to work within a dynamic, remote-first data architecture capability delivering cloud-based data solutions Responsible for designing and delivering solutions using RDBMS, ETL and ELT, and cloud platforms for blue-chip clients across multiple sectors Lead cross-functional teams including Data Engineers, Architects, Business Analysts, and QA Analysts in an Agile environment Own end-to-end technical delivery, stakeholder engagement, and solution quality Experience and Leadership Proven experience in data architecture in a senior or lead role Demonstrated experience leading architectural design and strategy for complex data solutions using Snowflake Experience overseeing end-to-end delivery of enterprise data platforms Background in consulting environments delivering custom data architecture solutions Experience within the insurance sector considered an advantage Architectural Expertise Strong expertise in designing and delivering end-to-end data solutions including data warehousing, pipelines, and analytics using Snowflake Experience applying Data Mesh and Data Fabric architectural patterns Proven ability to develop data product strategies with a product-led mindset Extensive experience across cloud platforms including Snowflake, AWS, Azure, and GCP Experience integrating Snowflake with cloud services and big data tools Strong understanding of cloud infrastructure and its impact on data architecture Data Technology Skills Deep hands-on

As an Enterprise Data Architect, you'll be responsible for designing and developing the company's data infrastructure. You'll work with IT to ensure that all of our data sources are secured and compliant. You will also support business by integrating information from different systems into one central location so that we can analyse it in order to make informed decisions about our future direction. Requirements OLAP architectures to increase data sharing and provide end users with relevant information. Creates, enhances, or modifies OLAP and ETL (Extract-Transform-Load) designs to meet business needs Determines which data extracts can be integrated into BI tools Develops and implements real-time BI tools Owner, custodian and champion of the company Information & Data capability, ensuring cross-group alignment of data assets with other functional areas and business functions, including alignment to the enterprise architecture Translates strategic requirements into a usable target enterprise information architecture and roadmap, which may include an enterprise data model, associated metamodel, common business vocabulary, ontologies and taxonomies, used to guide enterprise solution development and achieve consistency of information assets across the application portfolio Ensure the enterprise information architecture maps to the enterprise architecture, and that all existing data/information assets are identified, stewarded and leveraged across the enterprise Definition of a

Key purpose: As a Data Center Engineer, you'll be responsible for managing and maintaining our data center. You will also help with the day-to-day operations of our data center by providing support to all areas of IT including VMware vSphere Virtualization, NSX, ESXi Hypervisor and Platform (vCPE), Storage Management, Red Hat Enterprise Linux Server Administration and Amazon Web Services (AWS). Duties and responsibilities: Expert in deploying and managing services on VMware (vSphere) , Azure, AWS and other virtual platforms as needed Familiarity with managing workloads across multiple hybrid cloud environments Administration and Deployment of VMware vRealize Automation Platform Support and Management of VMwares Tanzu full-stack modernization suite (advantageous) Implementation and support of Morpheus Hybrid Cloud Application Orchestration Deployment, configuration, and maintenance of Linux and Windows servers Strong experience configuring, troubleshooting and tuning system hardware and software configurations for performance and reliability Diagnose complex systems issues with multiple influencing factors Incident response to system alerts, serve as point of escalation for after-hours issues Assist the support team with escalated customer issues Disaster/Recovery/Restore Experience with HP 3Par, EMC, Netapp Storage Platforms (advantageous) Monitoring tool and deployment automation development Server Administration Qualifications and experience: Degree/Diploma in Computer Scie

Contract position (remote) Minimum requirements: Qualified Project Manager with at least 10 years experience Specific migration of Financial Data Objects is required Extreme attention to detail. Ability to focus and drive deadlines. Previous large ERP project data migration experience with direct Business Engagement. Previous MS D365 experience will be an advantage. Vendor interaction and vendor activity tracking experience. Excellent communication skills. Proficient in Microsoft Project, Excel, PowerPoint, MS Teams, SharePoint, etc. Knowledge of CCBA business functionality an advantage. Ability to work remote and drive active participation and activity completion in an online environment. Ability to work with diverse and remote located data migration team. Flexibility on working hours data migration phases necessitate some shift type patterns at times. Possible travel when restrictions are lifted. Tenacity and resilience to push through and remain positively focussed when extreme challenges are experienced. Ability to be firm but approachable with diverse team of all backgrounds and experts in their own function. Responsibilities: Review/define the construct data migration project plans with related/dependent streams/projects and sub streams Ensure data migration execution according to approved plans in collaboration with the Data Migration Leads as well as Business Be accountable for facilitating and coordinating the successful implementation of the PH construct data migrat

Minimum requirements: Matric / Grade 12 / National Senior Certificate Advanced Diplomas / National 1st Degrees Post Graduate Degree Computer Science, Econometrics, Mathematical Statistics, Actuary Science (ideal) SAS Data Scientist certification, Microsoft Data Scientist, IBM data engineer (ideal) Post graduate degree in computer science, statistics, or operations research or related technical discipline. 4-6 years experience in a statistical and/or data science role. Deep knowledge of machine learning, statistics, optimization or related field. Experience with R, Python, Matlab is required, programming in C, C++, Java. Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.) Excellent written and verbal communication skills along with strong desire to work in cross functional teams. Attitude to thrive in a fun, fast-paced start-up like environment Technical / Professional Knowledge: Analysing situations or data that requires an in depth evaluation of multiple factors Data Mining Data Warehousing Financial modelling and analytics Research and analytics Strategy planning and execution Responsibilities: Develop best-in-class statistical models and algorithms Conducts advanced statistical analysis Provide actionable insights, identify trends, and measure performance Create value out of enterprise wide data Provide insights to BI and BA to further exploit and present their models Provi

About Correlation One Correlation One is a global workforce development company that provides talent training programs in AI and data. To date, over 500,000 people have participated in our programs across 11 countries. We support corporate talent development as the largest training provider for Amazon Career Choice, Amazon's employee education assistance program, and through vocational training programs built in partnership with U.S. state governments. We collaborate with Fortune 500 companies, U.S. federal and state government agencies, and various other organizations to bridge the gap between company-demanded skills and talent in areas such as AI, data analytics, cybersecurity, and operations leadership. We emphasize practical talent development so participants can make an immediate impact in the field upon program completion. Role Overview The Data Center Technical Instructor (Lead Instructor) is responsible for conducting live online classes and supporting participant learning in collaboration with internal staff. Main responsibilities include conducting online classes on data center technologies. In this program, you will lead live online classes for approximately 100 participants with diverse learning, professional, and technical backgrounds. In addition to class preparation and instruction, you will contribute to the smooth execution of the program and improved learning outcomes by collaborating with the internal program operations team. Program Details Duration: September 7, 2026 – April 16, 2027 Schedule: Every Tuesday and Thursday, 19:00 – 21:30 (Japan Standard Time) Online Class Operations Prepare and conduct online classes for participants with diverse learning, professional, and technical backgrounds. Facilitate Q&A sessions during class, monitor and respond to chat. Gauge the overall class atmosphere and participant engagement to encourage active participation. Collaboration with Program Operations Team Work closely with Correlation One operations staff to support smooth program operations according to schedule. Cooperate in the design, development, and improvement of classes and learning materials as needed. Record revisions, suggestions, and changes regarding course materials to contribute to curriculum improvement. Ideal Candidate Profile In addition to the main responsibilities above, the lead instructor is expected to demonstrate the following attitudes and approaches: Professional Conduct Always maintain respectful and professional conduct toward participants, Correlation One staff, other personnel, and guest speakers. Class Preparation Thoroughly review and prepare learning materials in advance to deliver high-quality instruction. Responsiveness and Empathy Toward Participants Provide polite and prompt responses to questions and consultations to support learning. Adjust explanations and teaching pace according to the comprehension levels of participants with diverse backgrounds while appropriately progressing through the scheduled lecture content within the allotted time. Online Class Facilitation Deliver lessons at an appropriate pace, explain complex technical concepts clearly, and create an environment that encourages active participant engagement. Communication Remain mindful that tone and nuance are harder to convey in online and text communication, and communicate respectfully. Maintain frequent contact and information sharing with Correlation One staff. Creating a Learning Environment...

Knak is a mission-driven company Why? Because our time is limited, our competition is fierce, and our margin for error is small. For us to have the greatest impact on the world, we need to be laser focused on our core mission, which is... Empowering people to be creative. That’s why Knak exists. We are a world-class enterprise email and landing page creation platform with a focus on making successful and happy customers by providing them with an incredibly powerful, yet easy to use creation platform. Our industry leading SaaS solution is built by Marketers, for Marketers. We know that it’s the small things that make the biggest impact and that emails and landing pages are where the rubber hits the road when it comes to Marketing Automation. We change the way Marketers work by making them more efficient, while improving conversion rate of their campaigns and helping them stay on brand. Oh, and we have a bit of fun while doing it, too! About the Role Knak is hiring a Go-To-Market Analyst to support decision-making across go-to-market functions: marketing, revenue operations, sales, and finance. This is not a narrow campaign-reporting role. The person in this seat will be trusted with questions that span the full funnel, from lead generation and performance marketing through pipeline and revenue outcomes. We are looking for someone who understands the marketing domain (lead generation, campaign performance, attribution, funnel metrics) as well as someone who can operate as a bus

Luxury Presence is building the AI growth platform for real estate. Backed by Bessemer Venture Partners and other top investors, we're a Series C company that has hit $100M in annual recurring revenue. More than 90,000 real estate professionals, including over 30% of the WSJ Real Trends top 100 agents in the United States, use us to run and grow their business. Why This Role Matters Our GTM Analytics team owns the metrics that run the business for Sales, Marketing, and Client Success. We're past the phase of standing up basic reporting — we're now building a modern, agentic analytics practice, including Lighthouse, our internal BI-as-code platform, where dashboards, metrics, and semantic definitions live in version-controlled code rather than scattered across disconnected tools. This role is a chance to shape that next chapter. You'll partner directly with Sales, Marketing, and CS leaders to answer their hardest questions about pipeline, funnel conversion, campaign performance, and retention, while helping build the infrastructure and AI-forward workflows that let the whole GTM org get trustworthy answers faster. You'll report to our Senior Manager of Analytics and work in tight, two-week sprints alongside Analytics Engineering, so you'll see your work ship and get used — fast. What You'll Do GTM Analysis & Decision Support Deliver decision-ready analysis across Sales, Marketing, and Client Success: pipeline health, funnel conversion, campaign and channel performance, coh