Quality Analyst Reporting

Everseen; Maharashtra; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Everseen is seeking a Quality Analyst Reporting to monitor, evaluate, and improve the quality of Reporting interactions across our operations.

The role collaborates with Quality Analysts, Data & Reporting Managers, SMEs, and Operations teams to audit quality, provide feedback, and design dashboards and reports for quality checks. You will drive risk-based auditing and RCA to ensure data quality and operational excellence.

Qualifications

• 3+ years in Quality Assurance, Quality Engineering, or Data Quality Control in high-volume data environments.
• Strong data analysis skills, including RCA and basic data tools (Excel/SQL) and BI dashboards.
• Experience with automated systems, data annotation platforms, or ML pre-labeling loops preferred.
• Proactive, solution-oriented mindset focused on improving processes and governance.
• Excellent communication to bridge frontline annotators, project coordinators, and ML engineers.
• Graduation in Engineering.

Responsibilities

• Monitor, evaluate, and improve quality of Reporting interactions for operational excellence.
• Conduct quality audits and provide actionable feedback to stakeholders.
• Design and implement risk-based sampling models guided by historical metrics.
• Develop in-line guardrails and feedback loops within auditing tools.
• Flag data discrepancies at entry and drive corrections in the audit lifecycle.
• Perform Root Cause Analysis on recurring data discrepancies and drive corrective actions.
• Translate RCA findings into updated playbooks and training material.
• Validate AI-driven outputs to ensure high-quality, gold-standard labeling.

Skills

Quality Assurance

Data Quality

Data Analysis

RCA

Education

Engineering degree

Tools

Excel

SQL

BI Dashboards

Job description

Everseen: A leader in vision AI solutions for the world’s leading retailers.

The Role

As a Quality Analyst Reporting, you will be responsible for monitoring, evaluating, and improving the quality of Reporting interactions to ensure a high level of operational excellence. You will work closely with Quality Analyst, Data & Reporting Managers, Subject Matter Experts (SMEs), and Operations teams to conduct quality audits, provide actionable feedback, identify improvement opportunities on evolving processes, tools, and ensure adherence to support processes, quality standards, and service level expectations. Act as a subject matter expert for quality processes, supporting audits, compliance reviews, and customer-facing quality initiatives. You will be responsible for creating Dashboards and reports of Quality checks.

Key Responsibilities

• Intelligent Risk-Based Auditing
• Targeted Sampling: Shift away from traditional random 10% sampling to design and execute a risk-based sampling model driven by historical error metrics.
• Efficiency Optimization: Focus expert auditing resources exclusively on high-probability error transactions (e.g., complex multi-item checkouts, tenured anomalies, or edge cases flagged by AI).
• In-Line Guardrails & Feedback Loops
• Partner with the Technical Project Co-ordinator and Systems Engineering teams to design real-time feedback loops and automated validation gates directly within core auditing tools (GRIME and ASGARD).
• Stop data discrepancies at the entry point, ensuring errors are flagged and corrected before they exit the primary audit phase.
• Data Quality & Root Cause Analysis (RCA)
• Systemic Issue Diagnostic: Conduct deep-dive Root Cause Analysis (RCA) on recurring database discrepancies to isolate underlying drivers (e.g., software tool lag, vague annotation guidelines, or ML model classification gaps).
• Guideline Optimization: Translate RCA findings into immediate corrective actions, updated documentation playbooks, and training huddles for the reporting floor.
• AI Model Guardrails & Collaboration
• Model Validation: Act as the authoritative validation layer for AI-driven engines, auditing and labeling the automated classification outputs to ensure a near-100% database gold standard.
• Mitigate Model Drift: Identify patterns where AI models begin to show bias or drift due to new cashier behaviors or store layouts, feeding structured corrections directly back to the Research and ML development teams.

Candidate Profile & Requirements

• Experience: 3+ years of experience in Quality Assurance, Quality Engineering, or Data Quality Control within high-volume data processing, analytics, or tech operations environments.
• Analytical Toolset: Strong proficiency in data analysis, including statistical tracking, root cause analysis (RCA), and basic data tools (Excel, SQL, or dashboard reporting tools like BI).
• AI/ML Familiarity: Experience working alongside automated systems, data annotation platforms, or ML pre-labeling loops is highly preferred.
• Problem-Solving Mindset: A proactive, "build-the-guardrail" attitude—someone who seeks to fix the process rather than just report the error.
• Communication: Exceptional collaborative skills, with the ability to bridge communication between front-line annotators, technical project coordinators, and ML engineers.
• Education: Graduation in Engineering background

About Everseen

Shrink and inefficiency cost global retailers more than a hundred billion dollars each year. But Everseen is changing that equation. We are a leader in vision AI, transforming business operations for global retailers by reducing shrink, improving operations, and delivering a better customer experience.

Supporting 11 of the top 20 global retailers, Everseen’s AI innovations help retailers save millions of dollars every month. Its flagship product, Evercheck, is deployed in 10,000 retail stores and 150,000 checkouts globally. Everseen operates at unmatched scale, processing over 15 million transactions, and more than six petabytes of video data, daily.

Trusted by major food, drug, mass, and specialty retailers around the world - including Kroger, Meijer, and Woolworths - we also partner with leading hardware, AI, and cloud computing providers such as Google, NVIDIA, NCR, and Dell.

Founded in 2007 and headquartered in Cork, Ireland, Everseen has over 700 employees globally, with a European headquarters in Cork, Ireland, a U.S. headquarters in Miami, and hubs in Romania, Serbia, India, Australia, and Spain.

We are a dedicated team of inventors, research scientists, engineers, AI experts and retail industry veterans. Our culture is built on accountability, collaboration, and high standards. We take ownership of outcomes, prioritise our customers, operate as one team, move quickly with purpose, and continually raise the bar in everything we deliver.

Our Culture

Our culture is built on ownership and accountability, we own outcomes, not tasks. We stay relentlessly customer-first, letting their needs shape our priorities and decisions.

We work as one team: we challenge ideas, align quickly, and commit together. We move with pace, without compromising on simplicity or quality. And every day, we raise the bar, strengthening our talent, pushing innovation forward, and maximizing our impact.

Our Values

We OWN THE OUTCOME. No silos, no excuses.

We ARE CUSTOMER-FIRST. They guide our decisions.

We ARE ONE TEAM. Debate, decide, commit.

We MOVE WITH PACE. With simplicity and quality.

We RAISE THE BAR. On talent, innovation and impact.

Our Commitment

Everseen is committed to creating an environment where everyone can succeed. Our employees should feel a sense of belonging, have an opportunity to grow their careers, and feel free to be their most authentic selves. Everseen takes great pride in the diversity of its global workforce, and insists upon a safe, inclusive workplace where our differences are our collective strength. We treat each other with dignity, and respect, and require all employees, officers, and directors to seek to understand the importance and value to Everseen of diversity, and inclusion.

Everseen is committed to creating a safe environment for all employees and has a zero tolerance policy for bias and discrimination of any kind. Our work environment is one without offensive, hostile, or intimidating conduct, whether verbal, written or physical, in nature. Everseen will not tolerate prejudice or discrimination of any kind including without limitation, where based on aspects such as, race, colour, sex, gender, religion, age, family status, disability of any kind, sexual orientation.