QAD

Support Operations Senior Data Analytics Administrator

Pune, MH, India · On-site · Contract

Apply on the employer’s site ↗See how well you match this job

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

EmployerQAD
LocationPune, MH, India
Work styleOn-site
Employment typeContract
Employer posted1 month ago

Responsible for planning, developing, implementing, and reporting on Support, Cloud Operations, and Customer Success metrics using both traditional BI tools and AI-driven analytics. Drives program governance for Google BigQuery, Looker Studio, Tableau, and Jira. Leverages machine learning models, predictive analytics, and Generative AI to analyze complex support datasets, uncover hidden trends, automate operational workflows, and deliver proactive insights that optimize support systems and processes.
Accurately analyze and collect data to create business reports that provide insight into key data points for Support’s initiatives. Monitor and communicate performance data, usage accuracy and ROI. Watch for unusual trends or anomalies and engage appropriate leaders where action is required. Provides direct assistance as requested to prepare reports or analyze data from all levels of management within Support.
Oversee and administer Tableau, Looker/Data Studio reports, Jira Dashboards, etc. Utilize established QAD processes and tools to verify data accuracy for audits. Monitor automated processes to ensure consistent and correct processing of data – and take a leading role in investigation and resolution of any issues.
Use generative AI and machine learning to analyze past support interactions to extract trends and automate actions. Perform data analysis for generating and distributing management reports in an accurate and timely manner. Prepare and publish Monthly and Quarterly performance metrics for Support, including ROI results, and prepares quarterly accruals and final achievement reports.
Contribute to departmental projects – including leading select initiatives independently.
Support day to day operations, monitoring and problem resolution for any issues that arise with the governed tools and processes.
Other duties as assigned

Show full description

Education: Education in, or equivalent experience in a high-tech Customer Support industry. Computer programming experience is a plus
Professional degree: Data Analytics, Business Administration
Experience: Minimum of 3 years of experience in data management, reporting platforms, and enterprise analytics. Proven track record of analyzing large, complex datasets to uncover trends and derive actionable business insights. Hands-on experience applying Generative AI, Natural Language Processing (NLP), or Machine Learning to analyze unstructured customer/support interaction data and automate reporting actions. Proficiency in data collection with familiarity in contracts or intellectual property entitlement. Strong planning, critical thinking, and problem-solving skills.
Other Program / Supplemental Training: Data analytics, Tableau, Google Data Studio, and Business Analytics/Intelligence is required. CRM, CMDB and Project management experience is a plus.
Computer skills: This position requires hands-on expertise in Advanced SQL Techniques (Window Functions, CTEs, Joins, Views, Scheduled Queries, etc). Perform data preparation, transformation, and validation using SQL, Excel, BI Tools. Experience in developing, designing and building BI dashboards and reports using Looker Studio and Tableau.
Other knowledge: Apply data modelling techniques to ensure scalable and reusable analytical datasets.

Why QAD?

Structured Mentorship: Benefit from a structured program and training designed for rapid career development

Inclusive Culture: Join a collaborative and inclusive environment that champions learning, growth, and diverse perspectives

Ready to step into the future of manufacturing? Apply now and start building a System of Action!

About QAD:

QAD | Redzone is redefining manufacturing and supply chains through its intelligent, adaptive platform that connects people, processes, and data into a single System of Action. With three core pillars — Redzone (frontline empowerment), Adaptive Applications (the intelligent backbone), and Champion AI (Agentic AI for manufacturing) — QAD | Redzone helps manufacturers operate with Champion Pace, achieving measurable productivity, resilience, and growth in just 90 days.

QAD is committed to ensuring that every employee feels they work in an environment that values their contributions, respects their unique perspectives and provides opportunities for growth regardless of background. QAD’s DEI program is driving higher levels of diversity, equity and inclusion so that employees can bring their whole self to work.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.

See how well you match this job Apply on the employer’s site ↗

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Staying safe while you apply

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Preparing for this role with ROLIVA

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.

Create a free workspace or log in.