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2,336 jobs found.

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🔥 Senior Knowledge Management Specialist

Posted 3 minutes ago

📍 Canada

🧭 Full-Time

💸 83725.0 - 108350.0 CAD per year

🔍 Software Development

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff about 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

3+ years of experience in Knowledge Management or Enablement, with a strong focus on creating and maintaining documentation for both customers and internal teams. This includes developing, organizing, and updating knowledge articles.
Experience translating technical requirements into operational materials
Experience managing complex content projects and cross-functional partnerships, including measurable improvements to customer self-service
Experienced in working with knowledge management and ticketing systems
Strong interpersonal skills to collaborate with cross-functional teams and to communicate effectively with stakeholders at all levels
Adapt at managing multiple priorities and embracing change with ease.
Bachelor's degree in a related field.

💡 Responsibilities

Collaborate closely with Product Managers, Support Engineers, and other stakeholders to gather and translate technical information into operational employee facing content.
Work closely with Accounting, Billing, and Invoicing teams to collect and convert complex financial information into documentation that is clear, actionable, and easy to find.
Assist in managing the Financial Operations knowledge management roadmap and contribute to the completion of projects within the roadmap.
Collaborate with accounting teams to implement and maintain KM processes and standards.
Support various financial operations projects and initiatives, ensuring their successful execution.
Assist in monitoring and reporting on KPIs to evaluate KM effectiveness, sharing insights with the organization.
Participate in identifying and implementing improvements in KM processes and technology.
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.

Project Management Data Analysis Jira Tableau Financial Management Content management Communication Skills Collaboration Accounting Data visualization Process improvement Confluence

Posted 3 minutes ago

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🔥 Marketing Strategic Insights Analyst

Posted 36 minutes ago

📍 United States

💸 88500.0 - 141400.0 USD per year

🏢 Company: careers_gm

🔧 Requirements

Bachelor’s degree or equivalent experience
1+ years of marketing and/or agency experience required
Comfortable establishing and enabling new processes, ways of working, and best practices
Highly organized and process-oriented, easily able to manage and prioritize multiple high priority projects
Excellent collaboration skills across cross-functional internal teams, agencies and vendors

💡 Responsibilities

Managing multiple project timelines and solution roadmaps from planning through delivery
Supporting team leads in developing insights storytelling, strategic recommendations, and leadership presentations
Collaborating across research and analytics disciplines to deliver insights POVs and performance tracking across Demand Spaces, Creative Excellence, and Brand Power KPIs
Application of Ehrenberg Bass philosophies of brand growth to insights and recommendations
Managing intake of marketing DEI data and insights from internal and agency teams for performance tracking
Refining workable data sets and data tagging for insights generation
Sourcing first-party data, syndicated data and secondary research to support development of insights updates
Maintaining ongoing inventory of best practices, available tools and methodologies, along with training/reference materials

Project Management Data Analysis Microsoft Power BI Tableau Communication Skills Analytical Skills Collaboration Market Research Data visualization Marketing Strategic thinking Data analytics A/B testing

Posted 36 minutes ago

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🔥 Director | Data Science

Posted about 1 hour ago

📍 United States

🧭 Full-Time

🔍 Healthcare

🏢 Company: Machinify👥 51-100💰 $10,000,000 Series A over 6 years agoArtificial Intelligence (AI)Business Intelligence Predictive Analytics SaaS Machine Learning Analytics

🔧 Requirements

10+ years of data science experience, with at least 5 years in a leadership role, including a leadership role at a start-up. Proven track record of managing data teams and delivering complex, high-impact products from concept to deployment
Strong knowledge of data privacy regulations and best practices in data security
Exceptional team management abilities, with experience in building and leading high-performing teams
Ability to think strategically and execute methodically
Ability to drive change and inspire a distributed team
Strong problem-solving skills and a data-driven mindset
Ability to communicate effectively, collaborating with diverse groups to solve complex problems

💡 Responsibilities

Provide direction and guidance to a team of Senior and Staff Data Scientists, enabling them to do their best work
Collaborate with the leadership team to define key technical and business metrics and objectives
Translate objectives into internal team priorities and assignments
Drive sprints and work with cross-functional stakeholders to appropriately prioritize various initiatives to improve customer metrics
Hire, mentor and develop team members
Foster a culture of innovation, collaboration, and continuous improvement
Communicate technical concepts and strategies to technical and non-technical stakeholders effectively
Own the success of various models on the field by continuously monitoring KPI’s and initiating projects to improve quality.

AWS Leadership Python SQL Apache Airflow Cloud Computing Data Analysis ETL Keras Machine Learning MLFlow Numpy People Management Cross-functional Team Leadership Algorithms Data engineering Data science Data Structures Pandas Spark Tensorflow Communication Skills Problem Solving Agile methodologies RESTful APIs Mentoring Data visualization Team management Strategic thinking Data modeling

Posted about 1 hour ago

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🔥 Technical Project Manager

Posted about 2 hours ago

📍 United States

💸 81600.0 - 102000.0 USD per year

🏢 Company: vernova_externalsite

🔧 Requirements

Bachelor's degree from an accredited university or college and at least 5 years of experience (or a high school diploma / GED with at least 6 years of experience in Job Family Group(s)/Function(s)).
Strong oral and written communication skills.
Demonstrated ability to analyze and resolve problems.
Ability to document, plan, market, and execute programs.
Established project management skills.

💡 Responsibilities

Plan and implement software deployment projects at various customer work sites in the US and abroad, including the activities of staff and subcontractors
Manage the project budget and timeline and ensure the resources are available to complete the project within budget and on time in order to meet customer obligations
Ensure that delivered enterprise level products and services achieve highest quality and performance levels
Primary customer contact for the duration of each project. May commission, resolve specification issues, handle correspondence, provide periodic updates, ensure customer satisfaction, and negotiate/coordinate with staff as appropriate
Proactively provide customers with product and services information and project updates
Identify opportunities for customers to get the best value out of GE software
Translate customer needs / requirements into detailed project plans while driving internal execution to meet project targets
Manage a network of resources (including contractors) in support of project execution.
Experience in overseeing data management strategies and utilizing tools (e.g., SQL, NoSQL) to manage and optimize large-scale datasets across complex projects.
Experience in leveraging cloud platforms (e.g., AWS, Azure) to design and manage scalable, enterprise-level solutions.
Knowledge of advanced analytics tools (e.g., Power BI, Tableau) to drive strategic insights and inform high-level decision-making for project success.
Identify opportunities to expand the project in ways that bring value to our customer and satisfy our profitability requirements. Negotiate change orders with the customers
Take part in the writing of reports that describe the results of a project
Participate in the development of proposals for projects
Professionally represent GE during all customer communications

AWS Project Management SQL Cloud Computing Cross-functional Team Leadership Tableau Azure Communication Skills Problem Solving Written communication Reporting Budgeting Data visualization Stakeholder management Technical support Data analytics Data management Customer Success

Posted about 2 hours ago

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🔥 Senior Data Analyst - Legal Services

Posted about 2 hours ago

📍 United States

🧭 Full-Time

🔍 Legal Services

🏢 Company: Truelogic👥 101-250 Consulting Web Development Web Design Software

🔧 Requirements

Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field (or equivalent experience).
Strong SQL skills for querying and manipulating large datasets.
Experience handling unstructured or messy data and applying data cleaning/validation techniques.
Proficiency in Python or R for data analysis and automation.
Strong analytical and problem-solving skills with the ability to adapt to evolving case requirements.
Ability to assess claim validity based on structured and unstructured data inputs.
Experience working in legal, financial, or regulatory data environments is highly preferred.
Excellent communication skills—able to translate technical insights into practical recommendations for legal and project management teams.
High attention to detail with the ability to detect anomalies, patterns, and inconsistencies in data.
Resilience, adaptability, and a solutions-oriented mindset.

💡 Responsibilities

Analyze large, complex, and sometimes incomplete datasets related to class action settlements. Data sets are often comprised of millions of records.
Navigate thin requirements via constant communication and questioning, while exercising reasoned judgment calls.
Develop and refine data cleaning and validation processes to improve accuracy and consistency.
Work closely with project managers and legal teams to understand case-specific claim requirements and constraints.
Assess claims for validity based on project guidelines, identifying inconsistencies, fraud, or missing information.
Provide data-driven insights to support decision-making on claim approvals, denials, or deficiencies.
Provide leadership and guidance to central data support members on collaborative tasks.
Generate reports, visualizations, and dashboards to communicate insights to both technical and non-technical stakeholders.
Suggest and implement process improvements to ensure smoother data handling in future settlements.
Maintain documentation of processes, data structures, and decisions made for auditing and compliance purposes.

Python SQL Data Analysis RDBMS Communication Skills Analytical Skills Problem Solving Attention to detail Data visualization Data modeling Data management

Posted about 2 hours ago

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🔥 Lead Analyst - Workforce Insights

Posted about 2 hours ago

📍 Poland

🔧 Requirements

2+ years of experience in human capital analytics, people science, or HR consulting
Proficiency in R/Python, SQL, and data visualization tools (e.g., Tableau, Power BI)
Strong analytical and statistical skills
Excellent communication and interpersonal skills
Ability to work across multiple projects and navigate ambiguity
Bachelor's degree in a relevant field (e.g., HR, Data Science, Business Administration)

💡 Responsibilities

Serve as a subject matter resource in workforce data and analytics, producing actionable insights to address business challenges.
Extract, transform, and analyze HR data at scale. Contribute to advanced modelling projects and support efforts to mature data ecosystems.
Demonstrate a consultative approach to data analysis, translating complex information into clear recommendations.
Lead or participate in workforce analytics projects and measure their impact.
Partner with HR and business leaders, effectively communicating insights at all levels of the company.
Maintain a solution-oriented attitude focused on ongoing transformation.

SQL Data Analysis HR Management Tableau Communication Skills Analytical Skills Data visualization Data modeling Data analytics

Posted about 2 hours ago

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🔥 Competitive Intelligence Analyst-1

Posted about 14 hours ago

📍 United States

💸 83280.0 - 99000.0 USD per year

🔍 Health Insurance

🏢 Company: external

🔧 Requirements

Bachelor's degree in business, economics, finance, data analytics, or a related field.
Minimum of 3+ years' experience in competitive intelligence, market intelligence, strategy, research, or a related field.
Strong data synthesis, visualization, and insights development skills using Microsoft Office, Visio, Tableau, and Power BI.
Strong analytical and problem-solving skills, able to synthesize data into actionable insights.
Clearly articulates insights and recommendations, both verbally and in writing. Tailor messaging to different audiences, including executives and cross-functional teams.
High attention to detail and organizational skills, ability to manage multiple projects simultaneously. Ensures accuracy in data analysis, reports, and competitive profiles.
A natural curiosity for answering questions, solving problems, and navigating unclear or evolving research needs.
Commitment to customer service in effectively managing research requests from teams and stakeholders at all levels within the organization.
Familiarity with CMS datasets, regulatory filings, benefit design, formularies, and provider network structures.
Ability to work independently to complete CI deliverables while also collaborating effectively as a team member of cross-functional teams.
Strict adherence to organizational and industry standards for confidentiality and ethical conduct in all competitive intelligence gatherings.

💡 Responsibilities

Serve as the internal subject matter expert for a defined portfolio of health insurance competitors, markets, and special topics.
Track and analyze competitor plan designs, pricing strategies, enrollment trends, market entries and exits, partnerships, marketing collateral, and other strategic actions.
Support the execution of recurring competitive intelligence deliverables, including upkeep of the CI Research Repository, weekly CI newsletter development, distribution of industry trend reports, and quarterly updates to competitor battlecards and profiles.
Monitor a broad range of ongoing healthcare industry developments, including provider network activity, competitor updates on industry-relevant AI use cases, emerging care delivery models, regulatory shifts, pharmacy trends, point solutions, and other potentially disruptive forces.
Perform in-depth research using a blend of public data sources (e.g., CMS public use files, state SERFF filings, Medicare Plan Finder, etc.), third-party intelligence platforms (e.g., Mark Farrah, Competiscan, etc.), and internal performance data.
Analysis of large datasets, uncovering trends and actionable insights through meticulous attention to detail.
Develop accurate, visually polished slide decks and reports that distill complex insights into digestible, stakeholder-friendly formats.
Fulfill ad hoc research requests of Sales, Marketing, Government Programs, Product teams, and others during bid planning and product strategy development.
Participate in strategic analysis and decision-making models, such as VRIO, PrOACT, PESTLE, etc.
Support the work of the Business Intelligence team in advancement of enterprise strategy goals.
Collaborate with the Strategic Intelligence team to identify market threats, opportunities, and differentiators.
Provide and maintain competitor data to inform the development of enterprise dashboards and strategic initiatives.
Together with the Business Intelligence and Strategic Intelligence teams, provide regular updates to internal stakeholders, such as divisional strategists, Strategy Council, and Steering Committee.

SQL Business Intelligence Data Analysis Data Mining Tableau Strategic Management Communication Skills Analytical Skills Microsoft Excel CI/CD Problem Solving Customer service Microsoft Office RESTful APIs Attention to detail Organizational skills Presentation skills Written communication Reporting Market Research Data visualization Strategic thinking Research skills Data modeling Data analytics

Posted about 14 hours ago

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🔥 Senior Analyst, Global Valuations

Posted about 15 hours ago

📍 United States of America

🏢 Company: Gordon_Brothers_Careers

🔧 Requirements

Bachelor of Business Administration or Bachelor of Science in a related field or equivalent experience with a concentration in business, finance, accounting or economics.
At least five years of experience is preferred.
Prior experience in a retail, manufacturing, distribution, and audit, financial, lending, or consulting environment is preferred.
Demonstrated advanced proficiency with computer applications in a Microsoft Windows-based environment.
Proficiency with MS Excel and Word is required.
A working knowledge of MS PowerPoint is preferred.
Excellent verbal and written communication skills are required.
A high degree of integrity and business acumen is required.
Demonstrated analytical, presentation, and project management skills are desired.
Use of problem-solving capabilities to look in-depth at information pertaining to a job is required.
Comprehensive understanding of financial statements is essential, including allocation of overhead expenses.
In addition, in-depth understanding of inventory and other asset accounting methodologies is preferred.
Ability and willingness to thrive in a fast-paced entrepreneurial environment handling multiple projects is essential.

💡 Responsibilities

Provide full support for on-going and new valuations, which includes due diligence, analysis, and data collection ensuring the accuracy of supplied information.
Handle multiple projects from start to finish, independently, and with the support of a team, in a friendly learning environment.
Conduct back-up exhibit calls with companies to ensure Gordon Brothers has not miss-interpreted any information that was provided.
Analyze key performance metrics and prepare values along with rationale for sign-off.
Communicate directly with bank clients and appraised companies to understand company-provided information and its business and operational challenges.
Ensure the production of the highest quality product, while exceeding client expectations with respect to professionalism and expediency.
Perform research in retail, consumer products, industrial and/or other market sectors; proactively communicate to management important events and/or possible business leads that may impact or generate deals for other Gordon Brothers Group divisions.
Provide final appraisal report of quantitative and qualitative findings to client.
Conduct solo job inspections and/or client meetings as needed.
Provide additional analysis support as requested by management.
Maintain Gordon Brothers’ Appraisal Application database to ensure accurate and timely contact, company, and job information.
Uphold Gordon Brothers’ Core Values and contribute to the achievement of the objectives of the strategic plan.

Data Analysis Financial Management Communication Skills Analytical Skills Microsoft Excel Problem Solving Accounting Written communication MS Office Research Reporting Data visualization Financial analysis

Posted about 15 hours ago

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🔥 Data Analyst (Remote, Graveyard)

Posted about 15 hours ago

📍 Philippines

🏢 Company: Anytime Mailbox👥 11-50 Information Services Email Information Technology Software

🔧 Requirements

Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, or a related field.
Proven working experience as a Data Analyst or in a similar role.
Technical expertise regarding data models, database design development, data mining, and segmentation techniques.
Proficient in using statistical packages (e.g., Excel, SPSS, SAS) for analyzing datasets.
Experience with reporting packages (e.g., Business Objects), databases (e.g., SQL), and programming (e.g., XML, Javascript, ETL frameworks).
Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Excellent verbal and written communication skills.
Familiarity with call center operations and metrics (e.g., average handle time, first call resolution) is a plus.
Proficiency in data visualization tools and software such as Excel, Google Sheets, PowerPoint, and Google Slides.
Proficiency in using automation and AI is preferred.
Strong knowledge of and experience with reporting tools and data visualization (e.g., Tableau, PowerBI).
High-level experience in methodologies and processes for managing large-scale databases.
Ability to work with stakeholders to assess potential risks and translate business requirements into non-technical terms.
Experience in managing master data, including creation, updates, and deletion.
High attention to detail and strong organizational skills.

💡 Responsibilities

Gather data from various sources including call logs, customer feedback, and operational metrics.
Conduct detailed data analysis to identify key performance indicators (KPIs), trends, and outliers.
Gather, clean, and analyze structured and unstructured data from various sources.
Identify trends, correlations, and patterns to support strategic decision-making.
Utilize statistical techniques to interpret data and generate business insights.
Develop and maintain comprehensive dashboards and reports to visualize key performance indicators (KPIs) and other relevant metrics using tools such as Excel and Google Sheets.
Prepare monthly management reports and presentation materials on various topics such as business continuity, space strategy, and expense management using PowerPoint and Google Slides.
Develop and implement data collection systems and other strategies to optimize statistical efficiency and quality.
Create daily, weekly, and monthly reports as needed, including customer reports, to track performance metrics and support decision-making.
Ensure the quality and accuracy of imported data, collaborating with quality assurance analysts when necessary.
Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
Work with management to prioritize business and information needs.
Support the data warehouse in identifying and revising reporting requirements.
Provide technical expertise in data storage structures, data mining, and data cleansing.
Ensure data accuracy, completeness, and consistency across different systems.
Perform data validation and collaborate with teams to resolve inconsistencies.
Establish and maintain data collection systems to enhance efficiency and reliability.
Identify, analyze, and interpret trends or patterns in complex data sets.
Locate and define new process improvement opportunities.

SQL Data Analysis Data Mining ETL Tableau Analytical Skills Reporting Data visualization Data modeling PowerPoint

Posted about 15 hours ago

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🔥 Senior Marketing Analytics Manager

Posted about 15 hours ago

📍 United States

🧭 Full-Time

💸 130500.0 - 145000.0 USD per year

🔧 Requirements

8 years of experience in data analytics or marketing science.
Advanced proficiency with data visualization tools (e.g., Tableau).
Strong understanding of data management and tracking techniques.

💡 Responsibilities

Develop and implement a structured KPI framework.
Design and oversee measurement dashboards.
Produce regular reporting with actionable recommendations.
Translate analytics into clear recommendations.

SQL Data Analysis Salesforce Google Analytics Tableau Communication Skills Analytical Skills RESTful APIs Reporting Data visualization Marketing Digital Marketing CRM Data modeling Data analytics Data management Customer Success A/B testing

Posted about 15 hours ago

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