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Skan.ai - Data Consultant - Statistical Analyst & Data Validation Job Opening In Bengaluru – Now Hiring Skan ai


Job description

<p>We're looking for an experienced Process Data Consultant to play a critical role in delivering our solutions.<br/><br/> In this customer-facing role, you will own end-to-end deployments, combining technical expertise and business acumen to ensure successful adoption of Skan.ai's platform.<br/><br/> You'll act as the trusted advisor for customers-mapping processes, analyzing data, and driving outcomes that improve performance.<br/><br/> Key Responsibilities :<br/><br/>- Solution Delivery & Customer Engagement.<br/><br/>- Lead full-cycle implementations-requirements gathering, process mapping, deployment planning, and execution.<br/><br/>- Configure and operationalize Skan.ai solutions, ensuring smooth integration with customer environments and alignment with business goals.<br/><br/>- Serve as the primary technical contact and product expert, providing proactive guidance, timely support, and issue resolution.<br/><br/>- Collaborate with internal teams (Product, Engineering, Sales, Customer Success) to deliver projects on time, with clear ownership of milestones and deliverables.<br/><br/>- Present insights and recommendations to stakeholders through reports, dashboards, and executive briefings.<br/><br/>- Act as a Subject Matter Expert (SME), enabling customer Centers of Excellence (COEs) and partners through training and knowledge sharing.<br/><br/> Data Analysis & Troubleshooting :<br/><br/>- Analyze process data to identify trends, inefficiencies, and opportunities for improvement.<br/><br/>- Conduct root cause analysis using advanced data analytics, log analysis, and process insights.<br/><br/>- Proactively monitor system performance, troubleshoot issues, and manage escalations to ensure minimal disruption.<br/><br/>- Partner with Product and Engineering teams to resolve technical challenges and improve solution robustness.<br/><br/> Documentation & Knowledge Sharing :<br/><br/>- Maintain detailed documentation of configurations, requirements, and process maps to support scalability and knowledge transfer.<br/><br/>- Collaborate with customer SMEs to validate insights and ensure outcomes align with business objectives.<br/><br/>- Stay up to date on emerging technologies, industry trends, and best practices in process intelligence and data analytics.<br/><br/> Qualifications & Skills :<br/><br/> Education : Bachelor's degree in engineering, Data Science, or related field.<br/><br/> Experience : 5+ years in consulting, process improvement, ideally with process intelligence, process mining, RPA, or BPM tools.<br/><br/>- Strong data analysis and interpretation skills (statistics, validation, reporting).<br/><br/>- Hands-on experience with IT systems (Windows, Linux), and basic web technologies (HTML, CSS).<br/><br/> Business Skills: Proven ability to translate process data into actionable insights that align with business objectives.<br/><br/> Project Delivery: Track record of managing multiple customer implementations end-to-end, meeting timelines and ensuring measurable outcomes.<br/><br/> Soft Skills: Exceptional communication and presentation abilities, with confidence engaging both technical teams and senior executives.<br/><br/> Mindset: Strong ownership, problem-solving orientation, and passion for driving business impact through process intelligence.<br/></p> (ref:hirist.tech)

Required Skill Profession

Mathematical Science Occupations


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The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Skan.ai Data Consultant Statistical Analyst & Data Validation typically include Mathematical Science Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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