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Bachelor's degree in Financial Engineering / Quantitative Finance, Math, Statistics, Data Science, Engineering, Economics, or other relevant program. Advanced Degree or CFA (Chartered Financial Analyst Certification.
$58,300 - $115,850 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Collaborate with the Business Intelligence and other cross functional teams to improve the efficiency, consistency and accuracy of forecasting related data pipelines that feed Pigment. At times success will also require digging in with new lines of business to ensure their data pipelines support both the line of business and related FP&A activities.
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Experience with modern data engineering tools such as Talend, DBT, Databricks, Snowflake and data visualization tools such as PowerBI, Tableau, ThoughtSpot. It's time to utilize your skills in software and data engineering to drive scientific and technological life-changing solutions within the pharmaceutical industry.
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Experience drafting Security Analyst processes and procedures for security operations. Familiar with threat intelligence lifecycle and adversary TTPS, including Cyber Crime, Malware, Botnets, Hacktivism, Social Engineering, APT, or Insider Threat is ideal.
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The ideal candidate will have experience with Python, Data Engineering, AWS, and databricks. Leverage your data engineering expertise to integrate data pipelines, ETL processes, and analytics workflows within the AWS ecosystem.
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Work as the liaison between Engineering, technology and procurement teams on development and optimization of product data across multiple systems / processes with focus on data quality, integrity and governance.
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A degree in Business Management, Business Administration, Computer Science, Cyber Security, Engineering, Organizational Development or a closely related field is preferred. This Business Analyst position will analyze business issues, recommend solutions, and define project requirements with stakeholders.
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This individual will configure, support, and optimize the SAP systems within these functional areas to streamline operations, enhance efficiency, and drive continuous improvement while collaborating with various stakeholders throughout the business.
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Directly supervise all the Quality Management Analyst and PSA compliance coordinator. + Compile and analyze qualitative and quantitative performance data to enhance program practice. They will assist and report to the Senior Vice-President of Performance, Evaluation and Monitoring in all data and QM related activities.
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The Clinical Business Analyst will oversee data analytics to support departmental workflows to optimize Provider Enrollment and PCP panel alignment. Collaborates on QA process of data outputs with business owner to ensure accuracy in data output.
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Zero to Three (0-3) years of Relevant Work Experience working in an Early Career Data Science, Data Engineering, or Business Intelligence Analyst setting. Solidly established Global FinTech Firm is looking for an analytics savvy, data driven individual to join its Human Resources Analytics and Products Team as a People Analytics-Data Science & Reporting Analyst.
$115,000 - $175,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
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5- 7+ years in administration of and operations of an ethics and compliance hotline/whistleblower line, investigations, anti-corruption, fraud, forensics, and regulatory compliance. Advanced knowledge of Google Docs, Sheets, Slides, Sites, PowerPoint, Microsoft Excel, Word, Teams, Outlook, Microsoft 365, Adobe Pro, data mining, and analytics.
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This position will collaborate with GIS data authors and consumers, Center for Shared Solutions (CSS) GIS Administrators, Roads & Highways specialists, MDOT SDE (Spatial Data Engine) Geodatabase Administrators, information management staff, solution developers, and business domain stakeholders, such as information managers, data stewards, and business analysts.
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Prior experience in a data operations or data engineering roles with experience working in a cloud-based data warehouse environment (Snowflake preferred) You will be the Manager, Data Operations of the Kinesso Audience – Data & Product team, you will oversee the day-to-day management of our Kinesso Audience Solutions (KAS) data warehouse and ensure its integrity, scalability, and efficiency in collaboration with the data engineering team.
$250ExpandApply NowActive JobUpdated Yesterday
data analyst engineering operations jobs Title: business analyst Company: Amazon in New York, NY
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