Full-Stack Developer Jobs

Data Mining

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🔥 Senior Data Analyst

Posted about 2 hours ago

📍 Brazil, USA, Canada

🔍 Financial Services

🔧 Requirements

Proven experience in data analytics: A strong track record of delivering impactful insights and recommendations through data analytics techniques.
Solid understanding of statistical methodologies: Experience applying statistical inference, regression analysis, hypothesis testing and other relevant techniques.
Strong proficiency in SQL: Ability to write complex queries to extract and manipulate data from various data sources.
Experience with data visualization tools: Proficiency in creating insightful and actionable dashboards. Experience with Amazon QuickSight is a plus.
Excellent communication and presentation skills: Ability to effectively communicate complex analytical findings to both technical and non-technical audiences.
Strong problem-solving and critical thinking skills: Ability to define problems, develop hypotheses, and interpret analytical results to drive business value.
Business acumen: Ability to understand business objectives and translate them into analytical questions and solutions.
Fluent English.

💡 Responsibilities

Lead complex analytical projects: Define problem statements, formulate hypotheses, and execute rigorous analysis to uncover key trends, patterns, and opportunities across various business functions
Develop strategic insights and recommendations: Translate complex data findings into clear, concise, and actionable recommendations for business stakeholders and leadership.
Collaborate with business partners: Work closely with business leaders to understand their strategic priorities and identify areas where analytics can provide significant impact.
Design and implement advanced analytical models: Utilize statistical techniques, machine learning concepts, and data mining methodologies to build predictive models, segmentation strategies and other advanced analytical solutions.
Data Visualization: Effectively communicate analytical findings and recommendations through compelling presentations and insightful dashboards using Amazon QuickSight.
Drive data literacy and adoption: Champion a data-driven culture within the organization by sharing knowledge, best practices and promoting the use of data in decision-making.

AWS Python SQL Data Analysis Data Mining Excel VBA Machine Learning Communication Skills Analytical Skills Problem Solving Data visualization Data modeling Data analytics

Posted about 2 hours ago

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🔥 Senior Marketing Analytics Manager

Posted about 5 hours ago

📍 United States

🧭 Full-Time

💸 130500.0 - 145000.0 USD per year

🔍 Education Innovation

🏢 Company: Code.org👥 101-250💰 Grant almost 3 years agoEducation EdTech Chemical Engineering Non Profit STEM Education

🔧 Requirements

Minimum of 8 years of experience in data analytics, marketing science, or digital marketing analytics.
Bachelor’s degree in Business, Marketing, Data Analytics, or a related field with advanced certifications in data analytics, marketing science, or similar.
Proven track record in measurement, reporting, and optimizing digital marketing campaigns across paid, earned, and owned channels.

💡 Responsibilities

Develop and implement a structured, consistent KPI framework to measure and optimize performance across all marketing initiatives.
Establish benchmarking practices to identify trends, determine areas for improvement, and evaluate marketing’s impact on broader organizational objectives.
Design and oversee measurement dashboards that track media performance, campaign impact, creative effectiveness, and audience outcomes (e.g., shifts in gender equity in computer science interest).

Project Management SQL Data Analysis Data Mining Salesforce Google Analytics Tableau Communication Skills Analytical Skills Reporting Cross-functional collaboration Data visualization Marketing Stakeholder management Digital Marketing CRM Data modeling Data analytics Data management A/B testing

Posted about 5 hours ago

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🔥 Senior Writer, AI

Posted about 7 hours ago

📍 United States

💸 120000.0 - 150000.0 USD per year

🔍 Journalism

🏢 Company: Forbes👥 251-500💰 almost 25 years agoInformation Services Publishing News

🔧 Requirements

Bachelor’s degree with 5+ years of journalism experience
Strong writer who communicates effectively and clearly with a strong point of view that stands out
Well sourced in the AI community with a proven track record for turning tips into stories
Versed in the technical side of AI, as well as the finance of startup fundraising, and able to hold their own with researchers and investors alike
Team player and happy collaborator who is willing to crash out a quick hit, dive into an investigation and go in-depth for a print profile, as need requires
Overflowing with story ideas drawn from sourcing, sharp observation and on-the-ground reporting
Comfortable working remotely

💡 Responsibilities

Pitch, report and write must-read stories about artificial intelligence companies and entrepreneurs
Regularly break news, including exclusives, funding scoops and investigations
Conceive and report features for the website and magazine, including pitching profiles and cover stories
Participate in the reporting of AI 50 and contribute to other Forbes lists
Represent Forbes at live events and conferences
Participate in Forbes videos related to reporting

Artificial Intelligence Data Analysis Data Mining Machine Learning Data science Research Reporting Writing Finance

Posted about 7 hours ago

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🔥 Competitive Intelligence Analyst-1

Posted 1 day 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 1 day ago

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🔥 Data Analyst (Remote, Graveyard)

Posted 1 day 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 1 day ago

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🔥 Enterprise Data Architect

Posted 2 days ago

📍 GBR

🧭 Full-Time

🔍 Insurance

🏢 Company: dxcjobs

🔧 Requirements

Experience in defining high quality Logical Data Models and gaining approval for such models in a complex stakeholder environment.
Experience of stakeholder management including senior stakeholders, 3rd party partners and standards organisations.
Experience of working with industry standard data models and extending those models to support business requirements.
Experience of working in an insurance business domain and with insurance logical data models, including commercial insurance.
Experience with a wide variety of technical domains from green field microservice architectures to workflow management systems, integration tooling and mainframe.
Experience of Logical Physical data mapping and of large-scale transformation projects moving from complex legacy system domains to modern digital applications.
Experience of defining transition plans and road maps for data migration, including both bulk and gradual migration.
Experience of defining patterns for and implementing BI/MI, analytics, and machine learning on large-volume datasets.
Experience of data designing and implementing data security policies and regulatory compliance.
Experience of defining and implementing governance processes for data management.
Experience of working with external standards organisations.
Experience of working with TOGAF framework.

💡 Responsibilities

Define and manage an Enterprise Data Strategy, supporting the business strategy and objectives.
Conduct detailed analysis of business processes, requirements, and scenarios to produce high quality Logical Data Models and work with senior stakeholders, third party partners, and standards organisations to gain approval for finished artefacts.
Work with and customise Industry Standard Logical Data Models to produce and maintain models tailored to the specific business domain.
Define, document and maintain business value chain for enterprise data.
Analyse business processes to identify and document key data dependency through key end-to-end business process flows.
Work with internal and external development teams and technical architects to drive logical service architecture design, external API contract design, and internal physical data model design.
Work with Technical BA's to analyse existing system behaviour, data models and business process implementations to facilitate logical to physical data mapping into existing systems to drive system integration designs and data transformation.
Design data models and patterns for downstream data exposure to facilitate accessibility for and analytics, BI, MI and reporting, both internal and external.
Work with external 3rd party standards bodies to define and maintain global messaging standards.
Based on business process analysis, understand and document life cycles of key data entities and define non-functional requirements for data consistency, integrity, availability, latency, and auditability.
Work with Security Architects to define and agree on data security classifications for data defined in data models.
Define and manage data governance framework for the program and work with existing architecture team to hand into BAU.

SQL Business Intelligence Cloud Computing Data Mining ETL API testing Data engineering REST API Microservices Data visualization Stakeholder management Data modeling Data analytics Data management

Posted 2 days ago

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🔥 Data Analyst - Canada Wide - Remote

Posted 2 days ago

📍 Canada

🔧 Requirements

Proficiency in SQL, Python and Excel
Experience in using analytics to effectively drive strategic and operational decision making
Able to work independently
Strong attention to detail and accuracy
Excellent communication and interpersonal skills

💡 Responsibilities

Identifying key metrics and building standardized reports to track business performance
Investigate and resolve data inconsistencies and irregularities
Aggregating and analyzing data across departments to uncover trends and patterns
Performing investigative analysis on large/diverse datasets
Assisting with analyzing results of experiments/pilots, new methods, data sources, and making actionable recommendations
Leading analytics on projects of varying sizes and complexity. This includes report automation, data visualization, gathering and documenting tool implementation requirements, split testing, and conducting ad hoc analysis and data mining.
Managing and delivering on business research initiatives
Collaborating with cross-functional teams to resolve data discrepancies and address inquiries efficiently

Python SQL Data Analysis Data Mining Analytical Skills Reporting Data visualization

Posted 2 days ago

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🔥 Sales Compensation Reporting & Analytics Manager

Posted 2 days ago

📍 US

💸 121400.0 - 151700.0 USD per year

🔍 Software / Technology

🏢 Company: Twilio👥 5001-10000💰 $378,215,525 Post-IPO Equity almost 4 years ago🫂 Last layoff over 1 year agoMessaging SMS Mobile Apps Enterprise Software Software

🔧 Requirements

3+ years of experience in Sales Compensation in Software / Technology industry
5+ years of professional experience in a Tableau dashboard development (Tableau Desktop and Online)
Process oriented: capable of developing high level analysis of data integrity issues
Intimate understanding of sales incentive programs
Excellence in structuring complex problems, developing solutions, and crafting recommendations concisely and effectively

💡 Responsibilities

Translate complex data into actionable insights through the development of intuitive dashboards, reports, and visual storytelling that supports strategic business decisions.
Retrieve, manipulate, analyze, and present data using effective data visualization techniques.
Apply advanced SQL and ETL skills, leveraging Salesforce and Presto, Heroku or other data warehousing tools to support data mining and reporting
Use your proficiency in MS Excel, including Pivot Tables, VLookup, and other advanced functions, to support analysis and reporting needs.
Utilize your expertise in Salesforce and its reporting capabilities to design custom reports, build dashboards, and optimize data flows for accurate business insights.
Execute technical tasks such as rule writing, development, troubleshooting, results analysis, process improvement, and validation.
Maintain a strong customer focus and apply sound business acumen to effectively balance technical and business priorities.

SQL Data Mining ETL Salesforce Tableau Reporting Data visualization

Posted 2 days ago

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🔥 Specialized Talent Sourcer - Polish Speaker

Posted 2 days ago

📍 Poland

🔧 Requirements

3 years’ experience in sourcing or recruiting is required.
Solid sourcing experience in a certain industry (or industries, markets) is required.
Deep understanding of Boolean strings required.
Proficiency in using specialized sourcing techniques, such as X-Ray, Advanced Boolean, data mining, extensions, and aggregators etc.
Excellent communication and interpersonal skills
Strong research and market analysis skills
Ability to handle candidate data with accuracy, confidentiality, and compliance with data protection regulations.
Capability to manage multiple sourcing tasks and priorities efficiently, meeting deadlines and handling niche recruitment requirements.
Aptitude to address sourcing challenges creatively, finding innovative solutions to attract specialized talent.
Continuous learning about industry trends, sourcing best practices, and emerging technologies.
Strong focus on achieving sourcing targets

💡 Responsibilities

Collaborating closely with recruiters and hiring managers to understand the unique job requirements and effectively align sourcing efforts with the organization’s goals.
Reviewing and posting attractive job adverts on specialized job boards to boost the interest from target candidates. Reviewing and processing applications on all platforms in a timely manner.
Utilizing various sourcing methods such as online platforms, social media, and networking to identify and connect with potential candidates who possess the specific skills and qualifications required for niche positions.
Implementing traditional, creative, and targeted candidate attraction strategies, such as mobile and email campaigns, cold calling, utilization of recruitment marketing, etc. to cultivate and grow talent communities for current and future hiring needs, ensuring a steady and engaged pipeline of specialized talent is always available.
Engaging with potential candidates through personalized outreach, networking events, and communication channels to establish rapport and interest in job opportunities.
Conducting and presenting thorough and regular market research to understand industry trends, salary benchmarks, and talent availability, which helps in planning effective sourcing and hiring strategies.
Pre-screening candidates to assess their qualifications, experience, and cultural fit before presenting them to the hiring team.
Sharing market and candidate insights to business hiring groups, while consulting them on sourcing and hiring strategies.
Actively promoting the employer brand to potential candidates, highlighting the company’s strengths in the specific industry, and opportunities for career growth.
Ensuring accurate and up-to-date records of candidate interactions and sourcing activities, using applicant tracking systems (ATS) and other available tools.
Staying updated with industry best practices, sourcing tools and techniques to continually improve the effectiveness of talent sourcing strategies.
Fostering diversity and inclusion by sourcing candidates from diverse backgrounds and underrepresented groups, contributing to a more inclusive workforce.
Identifying areas for process improvement within the talent sourcing function and suggesting innovative ways to enhance recruitment efficiency.

Data Mining Communication Skills Recruitment Market Research

Posted 2 days ago

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🔥 Senior Analyst, Customer Experience

Posted 2 days ago

📍 United States of America

🏢 Company: asurioncareers_us

🔧 Requirements

Experience in data analysis, Business Intelligence, data modelling, data architecture or related to customer experience, marketing, or adjacent field.
Knowledge of Microsoft Office Applications (Excel, PowerPoint, PowerBI, Word) at the advanced level preferred
Required experience/knowledge with BI tools including SQL, PowerBI, or similar used to construct visualizations and perform data analysis.
Certification(s) in Business Intelligence, data modelling, or data visualization is a plus.

💡 Responsibilities

Connect and generate analysis from customer and operational data sources.
Create BI solutions to provide self-service access for CX and stakeholders.
Tell a compelling story by packaging data for CX and other stakeholders.
Query and connect operational and experience data sources to create a holistic view of the customers.
Investigate and determine root causes of customer experience pain points.
Act as a CX and operational data SME.
Build partnerships within the CX Team, Marketing, and Analytics.
Manage multiple projects.

SQL Business Intelligence Data Analysis Data Mining ETL Microsoft Power BI Tableau Data engineering Communication Skills Analytical Skills Problem Solving RESTful APIs Written communication Data visualization Data modeling Data analytics Data management Customer support Customer Success PowerPoint

Posted 2 days ago

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