This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is pivotal in designing, implementing, and deploying enterprise-level data management, analytics, and AI solutions. You will leverage cutting-edge technologies, including Microsoft Fabric and AI Foundry, to enhance our data capabilities. Expect to work collaboratively across various teams to ensure seamless delivery of robust and compliant solutions. - Design and implement enterprise-scale data management, analytics, and AI capabilities using Microsoft technologies. - Collaborate with teams to define data and AI roadmaps aligning with business objectives. - Develop reference architectures and patterns for data services and AI applications. - Shape data service standards and contribute to project planning and execution. - Provide technical leadership and mentorship to teams. - Coordinate integration with third-party systems and support vendor evaluations. Qualifications - 7+ years of experience in data engineering, analytics engineering, or AI application development. - Deep understanding of data modeling frameworks like Kimbal and Lakehouse Architecture. - Expertise in Microsoft Fabric and AI Foundry technologies. - Proficiency in SQL, Python, and KQL with experience in performance tuning. - Ability to implement retrieval-augmented generation pipelines and secure data applications. - Excellent communication skills to explain complex technical topics to diverse audiences. Benefits - Competitive salary range of $140,000 to $170,000 annually. - Work remotely with flexible hours. - Opportunities for professional development and training. - Collaborative and innovative work environment. - Access to the latest tools and technologies in the field.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is pivotal in designing, implementing, and deploying enterprise-level data management, analytics, and AI solutions. You will leverage cutting-edge technologies, including Microsoft Fabric and AI Foundry, to enhance our data capabilities. Expect to work collaboratively across various teams to ensure seamless delivery of robust and compliant solutions. - Design and implement enterprise-scale data management, analytics, and AI capabilities using Microsoft technologies. - Collaborate with teams to define data and AI roadmaps aligning with business objectives. - Develop reference architectures and patterns for data services and AI applications. - Shape data service standards and contribute to project planning and execution. - Provide technical leadership and mentorship to teams. - Coordinate integration with third-party systems and support vendor evaluations. Qualifications - 7+ years of experience in data engineering, analytics engineering, or AI application development. - Deep understanding of data modeling frameworks like Kimbal and Lakehouse Architecture. - Expertise in Microsoft Fabric and AI Foundry technologies. - Proficiency in SQL, Python, and KQL with experience in performance tuning. - Ability to implement retrieval-augmented generation pipelines and secure data applications. - Excellent communication skills to explain complex technical topics to diverse audiences. Benefits - Competitive salary range of $140,000 to $170,000 annually. - Work remotely with flexible hours. - Opportunities for professional development and training. - Collaborative and innovative work environment. - Access to the latest tools and technologies in the field.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Business Analytics Manager to play a critical role in driving insight, strategy, and decision-making across our multi-million-dollar eCommerce business. This is not a report-building or data handoff role. This position will own sales, operations, and pricing analytics end-to-end—transforming complex datasets into clear, actionable insights that directly influence revenue, profitability, and growth. - Serve as a strategic analytics partner to sales, operations, and product leadership, influencing decisions that drive revenue growth, efficiency, and profitability - Own sales/ops/pricing analytics end-to-end, from data extraction and validation through insight generation and executive-level recommendations - Create insight-first dashboards and reports in Power BI that go beyond visualization to highlight trends, risks, and opportunities - Independently identify and investigate performance changes using structured problem-solving approaches - Translate complex analyses into clear, compelling narratives for senior, non-technical stakeholders - Ensure data accuracy and integrity across multiple data sources, including analytics platforms, data warehouses, and CRM systems - Act as a subject matter expert on sales and product data assets, enabling stakeholders to make better, faster decisions - Support the evolution of analytics maturity across the organization by setting a high bar for rigor, insight, and impact - Serve as lead analyst for business analytics, with potential to manage or mentor 2–3 analysts Qualifications - Bachelor’s degree in Math, Marketing, Statistics, Computer Science, Finance, Economics, Data Science, or a related field - 3-5 years of hands-on experience analyzing sales, operations, and/or product data, with a track record of translating data into recommendations with revenue impact - Proven experience delivering insights that directly influenced revenue, profitability, or growth decisions—not just operational efficiency or automation - Strong SQL skills (2–3 years) for extracting, manipulating, and validating data - Advanced experience with Power BI (or Tableau) for building insight-driven dashboards - Demonstrated ability to communicate insights and recommendations to senior business leaders through clear, structured storytelling - Lead the sales, operations, and product analytics functions day-to-day, mentoring analysts and managing 2–3 direct reports (coaching, prioritization, development, and quality standards) - Comfortable working with ambiguity and minimal direction; proactively identifies what analyses are needed Requirements - Experience with pricing strategy and analytics Company Description At 360training, we’re more than an online training provider—we’re on a mission to empower people and organizations to thrive. As a fast-growing leader in online and live training across multiple industries, we deliver regulatory-approved training and certifications that power careers and businesses. - Our culture is grounded in two values: Deliver Results and Do the Right Thing. - We operate as a collaborative, performance-driven organization where data plays a critical role in shaping strategy and outcomes.

• Lead the development, testing and curation of statistical and machine learning models to inform and support customer strategy within Marketing. • Provide analytical and technological support and consultation to key partners within the marketing organization. • Construct and curate datasets for model features. • Develop the methodology for model creation, testing, execution, and maintenance. • Manage each project and code base in Github. • Lead working groups and participate in steering committees with our IT partners. • May lead UAT testing. • Provide project communications to Marketing leaders. • Cultivate meaningful relationships with our business partners. • Define analytical and reporting requirements with partners. • Respond to most complex inquiries with actionable insights and advice. • Deliver technical capabilities to partners. • Create dashboards or decks to provide recommendations. • Provide high level data driven insights that confirm or refute our partner’s hypothesis. • Provide guidance to Marketing leaders on investments in technology. • Demonstrate the ROI of technological advancements via proof on concept projects. • Additional tasks may be assigned as necessary.