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Statistics SME

posted by: spj_bot

The VHA Survey of Veteran Enrollees’ Health and Utilization of Health Care (Survey of Enrollees) began in 1999 as a key input for the Enrollee Health Care Projection Model. It is an annual survey that gathers information from enrolled Veterans regarding their perceived health status, experiences with health services, current and anticipated future health care usage, insurance coverage, access to telehealth, and demographic characteristics. Participation remains voluntary. The data collected has supported projections of future health care utilization and informed VHA leadership in planning for the evolved needs of the Veteran population. This information is being collected in accordance with section 3507 of the Paperwork Reduction Act of 1995. We are seeking a Subject Matter Expert in Statistics to help with this potential upcoming project.

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Business Analyst

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Business Analyst will support due diligence, portfolio monitoring, and investment analysis by ensuring the integrity and accuracy of land, mineral, and royalty data. This role bridges technical data management and business decision-making — combining analytical skills with cross-functional collaboration across geoscience, legal, finance, and engineering teams.

Key Responsibilities

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QA Engineer

posted by: spj_bot

We are looking for a proactive QA engineer with strong mobile and API testing experience who is confident with Allure TestOps, Postman, DevTools, SQL, and Git. You will create clear test plans, ensure coverage, find and track bugs, and partner with product and engineering to ship reliable releases fast.

Responsibilities:

  • Find, document, and track bugs
  • Write test cases, test plans, and checklists
  • Ensure optimal test coverage across features and releases
  • Join grooming and help with clear task decomposition
  • Test mobile apps for iOS and Android
  • Work closely with product, design, and engineering

Requirements

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AI/ML Engineer - Web Data Quality - Remote

posted by: spj_bot

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

Data QA is an important function within Zyte. The Data QA team works to ensure that the quality and usability of the data scraped by our web scrapers meets and exceeds the expectations of our enterprise clients. 

Are you passionate about data and data quality and integrity?

Do you enjoy using Python and AI to analyze and manipulate data, detect data quality issues, and visualize your findings?

Are you highly customer-focused with excellent attention to detail?

Job Skills

layers datasets product managers prototype automation validation usability data data embedding detect anomalies ul self motivated sustainable growth version control data research scrapers frameworks spark build models github big datum automate semantic communication visualizations apply mathematic dashboards visualize data quality science applied data extracted data validation bigquery verification and validation data engineering pytorch visualization python collaborate distributed team communicate tensorflow workflows stress test anomaly detection open source technology automated scikit learn quality data science engineering cost scraped data manipulate data real time statistics driven quality english scale integrate innovate bitbucket reinforcement learning data scraped data manipulation
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Sap data migration

posted by: spj_bot

InfyStrat is seeking a skilled SAP Data Migration Specialist to join our dynamic team. In this role, you will be responsible for planning, executing, and managing data migration projects within SAP environments. You will work closely with various stakeholders to ensure that data is accurately transferred and integrated into SAP systems, following best practices and compliance standards. The ideal candidate should have extensive experience with SAP data migration tools and methodologies and possess a deep understanding of data transformation processes. At InfyStrat, we value innovation and efficiency; your expertise will be critical in enhancing our SAP data management capabilities. If you are passionate about data and SAP solutions, we invite you to apply and contribute to our exciting projects.

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Data Analyst

posted by: spj_bot

InfyStrat is looking for a detail-oriented Data Analyst to join our growing team. In this role, you will be responsible for collecting, analyzing, and interpreting complex datasets to provide actionable insights that drive business strategies. You will work closely with various departments to understand their data requirements and deliver thorough reports that facilitate data-driven decision-making. The ideal candidate will possess strong analytical skills and a passion for turning data into meaningful information. At InfyStrat, we value innovation and collaboration and are committed to helping our employees grow in their careers. If you are a proactive problem solver with a knack for storytelling through data, we encourage you to apply.

Responsibilities

  • Collect and analyze data from multiple sources to identify trends, patterns, and insights.
  • Prepare and present detailed reports and dashboards for various stakeholders.
  • Collaborate with cross-functional teams to understand their data needs and provide analytical support.
  • Utilize statistical methods and data visualization techniques to convey findings effectively.
  • Ensure data accuracy and integrity through regular audits and data validation.
  • Stay updated on industry trends and best practices in data analysis.

Requirements

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