Senior Data Analyst – Cloud, CRM & AI Deployment (UK)
- Location
- Across United Kingdom
- Salary
- Not specified
- Company
- akash pawar
Job description
Role & Company / Project Overview: Innotatz-IT is seeking a highly hands-on Senior Data Analyst with extensive experience across data analytics, cloud platforms, CRM/application development, and AI/ML production deployment. The role involves moving beyond standard dashboards to construct practical, data-driven applications, integrate business systems, and take AI prototypes directly into production. Key Responsibilities & Daily Duties: • Analyze complex business and customer datasets and translate organizational needs into scalable data and technology solutions. • Design, construct, and enhance CRM solutions alongside data-driven business applications, including end-to-end workflows, system integrations, APIs, and business automation. • Build robust data pipelines, data models, comprehensive reporting tools, and analytical systems utilizing SQL, Python, and modern cloud technologies. • Deploy AI/ML models and Generative AI solutions into live production environments, encompassing API integration, testing, model versioning, continuous monitoring, and optimization. • Build and manage scalable, secure, and resilient cloud architectures on AWS, Azure, or GCP. • Support ongoing application and software deployments utilizing modern CI/CD, DevOps, and MLOps practices. • Collaborate closely with cross-functional business, product, and engineering teams to transform real-world business challenges into robust data and AI products. Required Qualifications, Skills & Experience: • 5 to 7 years of relevant professional experience across Data Analytics, Data Engineering, or Data/AI Application development. • Advanced, hands-on programming and querying capabilities in Python and SQL. • Solid practical expertise with at least one major public cloud platform: AWS, Azure, or GCP. • Proven experience developing, customizing, or extending CRM applications such as Salesforce, Microsoft Dynamics, HubSpot, or comparable platforms. • Hands-on proficiency in building custom applications, REST APIs, integrations, and automated workflows. • Direct experience bringing Machine Learning, Generative AI, or AI-powered services into production systems. • Strong foundational understanding of MLOps/DevOps practices, CI/CD pipelines, Docker containers, API design, model monitoring, and application deployment. • Experience with modern analytical data platforms like Databricks, Snowflake, BigQuery, Redshift, or equivalent is highly desirable. • Sharp analytical thinking coupled with strong technical communication skills to interface effectively with both technical teams and business stakeholders. Working Hours, Shifts & Location Details: • Location: United Kingdom • Employment Type: Full-time Application Instructions: Interested candidates can apply by sending their profile directly to the HR department email address.