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🔥 Solutions Engineer - MidMarket / Channel, UK

Posted about 10 hours ago

📍 UK

🔍 SaaS Security

🏢 Company: AppOmni👥 101-250💰 Series C over 2 years agoSaaS Cloud Security Cyber Security Cloud Management Software

🔧 Requirements

5+ years of experience as a security system engineer, Solutions Engineer, or systems integrator.
Experience working with partners is a plus
Working knowledge of common SaaS solutions, such as SFDC, O365, Zoom, Box, Slack, Okta, Github, ServiceNow, Workday both from a technology and a business driver standpoint.
Demonstrable experience in securing SaaS / cloud environments.
Deep understanding of API based security & compliance standards.
Hands-on experience working with customers, positioning, demonstrating and configuring security products during risk assessment or POV engagements.
Strong communication and presentation skills.
Strong technical qualification and closing skills.
Experience from companies in the enterprise security space, and experience working with and closing enterprise transactions.
Strong problem finding and solving skills, ability to analyze complex problems and use a systematic approach to gain quick resolution.
Experience understanding exploits, malware, ransomware and their creation and activation etc.
Technical acumen with a broad technical security and infrastructure background.
Programming and DevOps experience will be an added advantage
Experience with working with Channel partners, and understands a channel centric go to market approach

💡 Responsibilities

Provide technical expertise for AppOmni customer and partner opportunities.
Present AppOmni to partners and customers at all levels from technical engineering team members to C-level decision makers.
Provide technical demos.
Streamline and help customers and partners run and deliver AppOmni customer Risk Assessments and Proof-of-Value (POV) engagements.
Lead technical conversations about SaaS security industry trends and emerging challenges.
Interact locally and remotely with customers and partners in an equally persuasive manner.
Be the technical voice of AppOmni for all things related to SaaS security and compliance.
Champion SaaS security best practices and innovations.
Work with Product Management and Product Marketing to build requirements and product features based on feedback from customers.
Work with the AppOmni Customer Success team to coordinate AppOmni and customer + partner partner activities.
Foster relationships with AppOmni-supported SaaS security partners and vendors.
Provide technical AppOmni solution coverage for AppOmni and partner marketing activities.
Assist in the creation and maintenance of central AppOmni Demo systems and demo guides.

SQL Cloud Computing Cybersecurity API testing Communication Skills RESTful APIs Linux DevOps Presentation skills Compliance JSON Strong communication skills Sales experience Technical support Customer Success SaaS

Posted about 10 hours ago

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🔥 Competitive Intelligence Analyst-1

Posted about 10 hours ago

📍 United States

💸 83280.0 - 99000.0 USD per year

🔍 Health Insurance

🏢 Company: external

🔧 Requirements

Bachelor's degree in business, economics, finance, data analytics, or a related field.
Minimum of 3+ years' experience in competitive intelligence, market intelligence, strategy, research, or a related field.
Strong data synthesis, visualization, and insights development skills using Microsoft Office, Visio, Tableau, and Power BI.
Strong analytical and problem-solving skills, able to synthesize data into actionable insights.
Clearly articulates insights and recommendations, both verbally and in writing. Tailor messaging to different audiences, including executives and cross-functional teams.
High attention to detail and organizational skills, ability to manage multiple projects simultaneously. Ensures accuracy in data analysis, reports, and competitive profiles.
A natural curiosity for answering questions, solving problems, and navigating unclear or evolving research needs.
Commitment to customer service in effectively managing research requests from teams and stakeholders at all levels within the organization.
Familiarity with CMS datasets, regulatory filings, benefit design, formularies, and provider network structures.
Ability to work independently to complete CI deliverables while also collaborating effectively as a team member of cross-functional teams.
Strict adherence to organizational and industry standards for confidentiality and ethical conduct in all competitive intelligence gatherings.

💡 Responsibilities

Serve as the internal subject matter expert for a defined portfolio of health insurance competitors, markets, and special topics.
Track and analyze competitor plan designs, pricing strategies, enrollment trends, market entries and exits, partnerships, marketing collateral, and other strategic actions.
Support the execution of recurring competitive intelligence deliverables, including upkeep of the CI Research Repository, weekly CI newsletter development, distribution of industry trend reports, and quarterly updates to competitor battlecards and profiles.
Monitor a broad range of ongoing healthcare industry developments, including provider network activity, competitor updates on industry-relevant AI use cases, emerging care delivery models, regulatory shifts, pharmacy trends, point solutions, and other potentially disruptive forces.
Perform in-depth research using a blend of public data sources (e.g., CMS public use files, state SERFF filings, Medicare Plan Finder, etc.), third-party intelligence platforms (e.g., Mark Farrah, Competiscan, etc.), and internal performance data.
Analysis of large datasets, uncovering trends and actionable insights through meticulous attention to detail.
Develop accurate, visually polished slide decks and reports that distill complex insights into digestible, stakeholder-friendly formats.
Fulfill ad hoc research requests of Sales, Marketing, Government Programs, Product teams, and others during bid planning and product strategy development.
Participate in strategic analysis and decision-making models, such as VRIO, PrOACT, PESTLE, etc.
Support the work of the Business Intelligence team in advancement of enterprise strategy goals.
Collaborate with the Strategic Intelligence team to identify market threats, opportunities, and differentiators.
Provide and maintain competitor data to inform the development of enterprise dashboards and strategic initiatives.
Together with the Business Intelligence and Strategic Intelligence teams, provide regular updates to internal stakeholders, such as divisional strategists, Strategy Council, and Steering Committee.

SQL Business Intelligence Data Analysis Data Mining Tableau Strategic Management Communication Skills Analytical Skills Microsoft Excel CI/CD Problem Solving Customer service Microsoft Office RESTful APIs Attention to detail Organizational skills Presentation skills Written communication Reporting Market Research Data visualization Strategic thinking Research skills Data modeling Data analytics

Posted about 10 hours ago

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🔥 Staff Technical Account Manager - DERMS

Posted about 10 hours ago

📍 Australia

🏢 Company: vernova_externalsite

🔧 Requirements

Experience managing enterprise customers in Distributed Energy Resources Management Systems (DERMS).
Experience of IT software support including Kubernetes & Kafka preferred.
Bachelors in Electrical Engineering / Computer Science

💡 Responsibilities

Provides account management for Premier Support and Escalated accounts.
Develop and drive action plans to accelerate issue resolution.
Maintain customer communication, and advocate for the customer to ensure successful implementation and operation of GE Digital software solutions.
Develop specialized knowledge in their discipline.
Serve as best practice/quality resource.

Project Management SQL Data Analysis Kafka Kubernetes Communication Skills Customer service Account Management Technical support Customer Success

Posted about 10 hours ago

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🔥 Enterprise Architect – GridOS Distributed Energy Resource Management System (DERMs)

Posted about 11 hours ago

📍 Australia

🔍 Utilities

🏢 Company: vernova_externalsite

🔧 Requirements

10+ years in enterprise or solution architecture in the utilities, OT, or critical infrastructure domain.
Strong hands-on knowledge of: Kubernetes (RKE2/AKS), Istio, Helm
Experience working in regulated industries and aligning with compliance and cybersecurity standards (ISO27001, NIST, Australian Signals Directorate)

💡 Responsibilities

Architect scalable, secure, and cloud-native GridOS solutions across DERMS and ADMS platforms.
Define end-to-end technical architecture for control systems, telemetry pipelines, and DER integration using Kafka, ActiveMQ, Helm, Istio, MinIO, and PostgreSQL.
Lead technical solutioning in pre-sales (ITO) efforts; provide expert architectural input into Statements of Work (SOWs), estimates, and delivery assumptions.

Leadership PostgreSQL SQL Cloud Computing Cybersecurity Git Kafka Kubernetes LDAP Microsoft Azure Microsoft Power BI Software Architecture ActiveMQ API testing Azure REST API Communication Skills CI/CD Problem Solving Microsoft Office Agile methodologies Mentoring Linux DevOps Terraform Compliance

Posted about 11 hours ago

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🔥 Data Analyst (Remote, Graveyard)

Posted about 11 hours ago

📍 Philippines

🏢 Company: Anytime Mailbox👥 11-50 Information Services Email Information Technology Software

🔧 Requirements

Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or a related field.
Proven working experience as a Data Analyst or in a similar role.
Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
Proficient in using statistical packages (e.g., Excel, SPSS, SAS) for analyzing datasets.
Experience with reporting packages (e.g., Business Objects), databases (e.g., SQL), and programming (e.g., XML, Javascript, ETL frameworks).
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Excellent verbal and written communication skills.
Familiarity with call center operations and metrics (e.g., average handle time, first call resolution) is a plus.
Proficiency in data visualization tools and software such as Excel, Google Sheets, PowerPoint, and Google Slides.
Proficiency in using automation and AI is preferred.
Strong knowledge of and experience with reporting tools and data visualization (e.g., Tableau, PowerBI).
High-level experience in methodologies and processes for managing large-scale databases.
Ability to work with stakeholders to assess potential risks and translate business requirements into non-technical terms.
Experience in managing master data, including creation, updates, and deletion.
High attention to detail and strong organizational skills.

💡 Responsibilities

Gather data from various sources including call logs, customer feedback, and operational metrics.
Conduct detailed data analysis to identify key performance indicators (KPIs), trends, and outliers.
Gather, clean, and analyze structured and unstructured data from various sources.
Identify trends, correlations, and patterns to support strategic decision-making.
Utilize statistical techniques to interpret data and generate business insights.
Develop and maintain comprehensive dashboards and reports to visualize key performance indicators (KPIs) and other relevant metrics using tools such as Excel and Google Sheets.
Prepare monthly management reports and presentation materials on various topics such as business continuity, space strategy, and expense management using PowerPoint and Google Slides.
Develop and implement data collection systems and other strategies to optimize statistical efficiency and quality.
Create daily, weekly, and monthly reports as needed, including customer reports, to track performance metrics and support decision-making.
Ensure the quality and accuracy of imported data, collaborating with quality assurance analysts when necessary.
Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
Work with management to prioritize business and information needs.
Support the data warehouse in identifying and revising reporting requirements.
Provide technical expertise in data storage structures, data mining, and data cleansing.
Ensure data accuracy, completeness, and consistency across different systems.
Perform data validation and collaborate with teams to resolve inconsistencies.
Establish and maintain data collection systems to enhance efficiency and reliability.
Identify, analyze, and interpret trends or patterns in complex data sets.
Locate and define new process improvement opportunities.

SQL Data Analysis Data Mining ETL Tableau Analytical Skills Reporting Data visualization Data modeling PowerPoint

Posted about 11 hours ago

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🔥 Senior Full-Stack Software Engineer (Remote)

Posted about 11 hours ago

📍 Europe

🧭 Full-Time

💸 75000.0 - 85000.0 USD per year

🔍 Booking Management Platform

🏢 Company: Skedda👥 11-50💰 Private about 1 year agoSaaS Meeting Software Scheduling Software

🔧 Requirements

7+ years of full stack development with C# and .NET/Core (ideally SaaS products)
Strong experience with front end JavaScript frameworks
Strong experience developing Web APIs
Strong SQL skills (SQL Server preferred)
Strong TDD and test automation skills (both unit and integration testing)
Hands-on experience with Azure Cloud
Azure DevOps experience is a plus

💡 Responsibilities

Provide senior-level implementation for new features across the full-stack
Implement full test automation for your work (we have a culture of ownership and quality)
Own projects from a technical perspective, from conceptualization to launch
Solve complex, but fun, technical challenges
Research, propose, test, and implement new techniques and technologies
Collaborate with team members on design techniques and coding standards

SQL Full Stack Development Javascript C#Azure .NET .NET core Selenium RESTful APIs SaaS

Posted about 11 hours ago

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🔥 Orbital Analyst, UK

Posted about 11 hours ago

📍 United Kingdom

🧭 Full-Time

🔍 Space Surveillance and Tracking

🏢 Company: Slingshot Aerospace👥 101-250💰 $30,000,000 Debt Financing 9 months agoAerospace Analytics Simulation Software

🔧 Requirements

Bachelor's-level degree in Aerospace / Mechanical Engineering, Electrical Engineering, Computer Science, Applied Mathematics, Physics, Astronomy, related field, or equivalent experience
3+ years of relevant work experience
Demonstrated expertise in orbital dynamics and satellite operations
Effective written and verbal communication skills
Experience reading and writing code in Python or other scripting languages
Ability to travel up to 5% of the time

💡 Responsibilities

Provide analytical and orbital analysis support to our customers and support related training events
Collaborating with cross-functional teams in conducting feasibility assessments in relation to customer space object tracking needs
Engage with our customers and other stakeholders to shape requirements and ensure successful outcomes for their mission-critical needs
Exercise Slingshot’s software using real-time and historical data, and perform quality assurance on its outputs (e.g. calibration activities)
Support ongoing and future transitions of Slingshot’s products and services to the SGSN, space operations centers, and other technology testbeds
Develop software and shell scripts to help automate, monitor, and enhance data processing related to space operations
Contribute your expertise and ideas to help shape our products and strategies
Prepare technical reports and briefing materials
Perform other duties as assigned (to be less than 10% of the responsibilities listed above)
Execute all position responsibilities in alignment with Slingshot’s core values, mission, and purpose

Python SQL Algorithms Communication Skills Analytical Skills Scripting

Posted about 11 hours ago

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🔥 Senior Marketing Analytics Manager

Posted about 11 hours ago

📍 United States

🧭 Full-Time

💸 130500.0 - 145000.0 USD per year

🔧 Requirements

8 years of experience in data analytics or marketing science.
Advanced proficiency with data visualization tools (e.g., Tableau).
Strong understanding of data management and tracking techniques.

💡 Responsibilities

Develop and implement a structured KPI framework.
Design and oversee measurement dashboards.
Produce regular reporting with actionable recommendations.
Translate analytics into clear recommendations.

SQL Data Analysis Salesforce Google Analytics Tableau Communication Skills Analytical Skills RESTful APIs Reporting Data visualization Marketing Digital Marketing CRM Data modeling Data analytics Data management Customer Success A/B testing

Posted about 11 hours ago

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🔥 Senior Data Engineer

Posted about 11 hours ago

📍 Worldwide

🧭 Full-Time

🔍 Software Development

🏢 Company: Kit👥 11-50💰 over 1 year agoEducation Financial Services Apps

🔧 Requirements

Strong command of SQL, including DDL and DML.
Proficient in Python
Strong understanding of DBMS internals, including an appreciation for platform-specific nuances.
A willingness to work with Redshift and deeply understand its nuances.
Familiarity with our key tools (Redshift, Segment, dbt, github)
8+ years in data, with at least 3 years specializing in Data Engineering
Proven track record managing and optimizing OLAP clusters
Experience refactoring problematic data pipelines without disrupting business operations
History of implementing data quality frameworks and validation processes

💡 Responsibilities

Dive into our Redshift warehouse, dbt models, and workflows.
Evaluate the CRM data lifecycle, including source extraction, warehouse ingestion, transformation, and reverse ETL.
Refine and start implementing your design for source extraction and warehouse ingestion.
Complete the implementation of the CRM source extraction/ingestion project and use the learnings to refine your approach in preparation for other, similar initiatives including, but by no means limited to web traffic events and product usage logs.

Python SQL ETL Git Data engineering RDBMS Data modeling Data management

Posted about 11 hours ago

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🔥 iAgami - Python Fullstack Developer

Posted about 11 hours ago

📍 Pan India, IN

🧭 Full-Time

🔍 Software Development

🏢 Company: Nexthire

🔧 Requirements

Minimum 4 years of hands-on experience in full stack development.
Strong proficiency in Python, particularly Django and Pandas.
Solid experience with React for front-end development.
Excellent communication and interpersonal skills.
Ability to work independently and manage tasks in a remote environment.
Educational Qualification: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

💡 Responsibilities

Design, develop, and maintain web applications using Python (Django, Pandas) and React.
Collaborate with cross-functional teams to define, design, and ship new features.
Write clean, scalable, and efficient code.
Debug and troubleshoot software issues in a timely manner.
Participate in code reviews and maintain coding standards.
Communicate effectively with team members and stakeholders.

Python SQL Django Full Stack Development Pandas React RESTful APIs

Posted about 11 hours ago

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