quality assessment

Data Analyst (Financial Planning and Analysis) - Canada

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Data Analytics, Data Engineering, Business Intelligence, Machine Learning and AI. Various market research firms, including Forrester and Gartner have recognized our business value and leadership.

We are seeking a highly motivated Data Analyst with strong data engineering and analytics experience to support business stakeholders in driving data-driven decision-making. The ideal candidate will possess strong expertise in SQL, Snowflake, Databricks, and Python, along with hands-on experience working with financial reconciliation data, including transaction, ledger, and procurement datasets

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Senior Data Quality Engineer (4 Months Contract ) Onsite in UAE - Octopus by RTG

posted by: spj_bot

About the Role

We are seeking an experienced Senior Databricks Data Quality Engineer to lead the design, implementation, and automation of enterprise-scale data quality frameworks within a Databricks environment. The successful candidate will play a key role in establishing data quality controls, profiling frameworks, remediation processes, and AI-assisted quality monitoring across a large-scale data platform consisting of 170+ datasets and over 1,300 Critical Data Elements (CDEs).

This role requires strong expertise in Databricks, PySpark, Delta Lake, MLflow, and modern data quality management practices.

Job Skills

layers professional microsoft azure certification compute clusters datasets prioritized certified engineer quality assessment automation integrations integrate data validation predictive ul information system data management data manage quality frameworks quality control quality engineer data modeling management quality engineering validation processes sql data pipeline master data management computer science dashboards data quality governance data platform data engineering exception management managed integrating templates data processing outliers analytics pyspark anomaly detection machine learn build automated profiling automated predictive models datum cleansing data governance azure monitor data profiling machine learning data elements metadata prioritization human in the loop quality management microsoft azure scale quality scores root cause analysis azure services quality monitoring enforcement power bi engineer certified associate databricks
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Medical Safety Reviewer

posted by: spj_bot

At Excelya, we embody Audacity, Care, and Energy in all that we do. We offer a dynamic and inclusive environment where innovation and collaboration drive success.

The Medical Reviewer provides medical and operational oversight of global pharmacovigilance review activities, ensuring high-quality assessment of ICSRs, compliance with regulatory requirements, and submission readiness for critical cases. The role also supports the continuous improvement and consistency of medical review processes, maintaining alignment with internal quality standards and global regulations.

Main Responsibilities:

  • Perform medical review of ICSRs ensuring completeness and submission readiness.
  • Manage complex/high-priority cases with appropriate clinical assessment.
  • Ensure data quality and consistency in the safety database.
  • Conduct targeted QC activities and drive corrective/improvement actions.
  • Lead follow-up activities with internal teams, HCPs, and vendors.
  • Oversee coding standards (MedDRA, WHO Drug) and ensure global consistency.
  • Contribute to PV standards, training, and continuous improvement.
  • Support benefit-risk evaluation and safety strategy activities.
  • Act as SME for audits and inspections.
  • Manage processes, vendors, and KPIs, driving operational performance.

Requirements

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Quality Assurance Specialist - Sales & Operations (Internal)

posted by: spj_bot

We are seeking two Quality Assurance Specialists to join our team—one supporting the Sales team and one supporting the Operations team. In these roles, you will be instrumental in conducting quality assessments, resolving issues, and maintaining our high standards across customer-facing interactions. These positions offer a unique opportunity to make a significant impact during a critical phase of our team’s growth.

What you’ll be doing:

LawnStarter is seeking Internal Quality Assurance Specialists to support our Sales and Operations teams. In these roles, you will be responsible for monitoring and evaluating the quality of customer interactions, ensuring compliance with company policies and procedures, and driving continuous improvement in service quality.

Responsibilities:

  • Conduct internal evaluations of customer and client interactions (Sales or Operations, depending on role) and provide actionable feedback to team members
  • Identify trends and areas for improvement, and partner with team leads to develop and implement solutions
  • Develop, document, and maintain quality assurance standards, processes, and procedures
  • Collaborate with cross-functional teams to ensure consistency and alignment in service quality
  • Stay up to date on industry standards and best practices in quality assurance

Requirements

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Data Steward

posted by: spj_bot

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

We are looking for a Data Steward to deliver insights on a daily basis. The ideal candidate will have Enterprise data governance expertise and will Serve as the primary liaison between the global data governance team and businesses to ensure alignment with Enterprise Data Governance (EDG) processes, rules, and standards

Requirements

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