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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

  • 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.
  • 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.

SQLBusiness IntelligenceData AnalysisData MiningTableauStrategic ManagementCommunication SkillsAnalytical SkillsMicrosoft ExcelCI/CDProblem SolvingCustomer serviceMicrosoft OfficeRESTful APIsAttention to detailOrganizational skillsPresentation skillsWritten communicationReportingMarket ResearchData visualizationStrategic thinkingResearch skillsData modelingData analytics

Posted about 14 hours ago
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🔥 Data Analyst (Remote, Graveyard)
Posted about 15 hours ago

📍 Philippines

🏢 Company: Anytime Mailbox👥 11-50Information ServicesEmailInformation TechnologySoftware

  • 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.
  • 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.

SQLData AnalysisData MiningETLTableauAnalytical SkillsReportingData visualizationData modelingPowerPoint

Posted about 15 hours ago
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🔥 Enterprise Data Architect
Posted 1 day ago

📍 GBR

🧭 Full-Time

🔍 Insurance

🏢 Company: dxcjobs

  • 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.
  • 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.

SQLBusiness IntelligenceCloud ComputingData MiningETLAPI testingData engineeringREST APIMicroservicesData visualizationStakeholder managementData modelingData analyticsData management

Posted 1 day ago
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🔥 Data Analyst - Canada Wide - Remote
Posted 1 day ago

📍 Canada

  • 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
  • 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

PythonSQLData AnalysisData MiningAnalytical SkillsReportingData visualization

Posted 1 day ago
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🔥 Sales Compensation Reporting & Analytics Manager
Posted 1 day 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 agoMessagingSMSMobile AppsEnterprise SoftwareSoftware

  • 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
  • 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.

SQLData MiningETLSalesforceTableauReportingData visualization

Posted 1 day ago
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🔥 Specialized Talent Sourcer - Polish Speaker
Posted 2 days ago

📍 Poland

  • 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
  • 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 MiningCommunication SkillsRecruitmentMarket Research

Posted 2 days ago
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🔥 Senior Analyst, Customer Experience
Posted 2 days ago

📍 United States of America

🏢 Company: asurioncareers_us

  • 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.
  • 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.

SQLBusiness IntelligenceData AnalysisData MiningETLMicrosoft Power BITableauData engineeringCommunication SkillsAnalytical SkillsProblem SolvingRESTful APIsWritten communicationData visualizationData modelingData analyticsData managementCustomer supportCustomer SuccessPowerPoint

Posted 2 days ago
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🔥 Workday Data Principal Consultant
Posted 2 days ago

📍 United Kingdom

🏢 Company: allopenings

  • Bachelor’s degree or equivalent experience in Information Technology, MIS, or related field
  • 2-5 years ERP Data Conversion or HCM implementation experience
  • 2-5 years Workday HCM experience highly desired
  • Security Clearance highly desired
  • Experience with data conversion, data mining, and data loading
  • Advanced experience of Excel
  • Strong analytical and problem-solving skills
  • Strong communication and presentation skills
  • Ability to work well individually as well as in a team environment
  • Become a Workday HCM and Data expert with knowledge of design, configuration, testing, and implementation
  • Partner closely with your team and customers to achieve excellence in each phase of your projects
  • Learn to use the Workday tools of iLoad, EIB, Object Transporter, Advanced Load, and Migration Recipe to do tenant to tenant migrations
  • Design and generate data tracking and monitoring tools, and develop reports with accurate, easy to read, useful information
  • Utilize your technical aptitude to convert and map data sources into data conversion templates via iLoads
  • Guide clients through the data extract and cleansing process, including loading customer data, moving configuration from tenant to tenant, and configuring business processes and security
  • Create ETL scripts to transform and load data, and create strategies to improve and normalize client data
  • Support the validation of data loaded into Workday
  • Regularly engage and support the client through all phases of the project, ensuring a smooth transfer from legacy systems to the Workday HCM solution
  • Perform multiple tasks under limited direction, while regularly keeping the client, your project team and your Engagement Manager abreast of changes or progress related to the project
  • Actively participate in update training and internal opportunities to share one’s skills and learnings with others within the organization

SQLData MiningETLMicrosoft Excel

Posted 2 days ago
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🔥 Product Manager
Posted 2 days ago

📍 Mexico, Argentina, Brazil, Colombia, USA

🔍 Fintech, Crypto

🏢 Company: Bitso

  • 3+ years of product management experience, with a strong focus on user onboarding, activation, or conversion funnels, ideally within a fintech, crypto, or other high-growth tech environment.
  • Demonstrated experience operating in a data-intensive environment.
  • Strong analytical skills with a knack for identifying problems, breaking them down, and finding practical solutions.
  • Excellent communication and stakeholder management skills.
  • A proactive and ownership-driven mindset.
  • Fluent in English (Spanish is a plus).
  • Define, prioritize, and execute the end-to-end product roadmap for the retail user onboarding journey across Mexico, Argentina, Brazil, and Colombia. This includes account creation, initial funding, and first transaction flows.
  • Analyze user behavior data, identify friction points in the onboarding funnel, and implement solutions to increase conversion rates from sign-up to activated user (e.g., first deposit, first trade).
  • Champion a consistently delightful and frictionless onboarding experience for our diverse user base, making it simple, intuitive, and secure for newcomers to access Bitso's offerings.
  • Discover and test new solutions and technologies to streamline user identification and reduce barriers to entry, balancing user experience with necessary controls.
  • Work closely with specialized internal teams (e.g. fraud prevention, compliance and KYC operations) to integrate essential security measures and controls into the onboarding flow, ensuring a secure and compliant journey while minimizing impact on user friction.
  • Utilize deep data analysis to identify trends, measure the impact of product changes, and uncover opportunities for optimization within the onboarding funnel. This is a data-heavy role where insights drive decisions.
  • Partner seamlessly with Engineering, Design, Data Science, Operations (KYC Ops, Payments Ops, Customer Support), and Compliance stakeholders to ensure a cohesive and effective onboarding strategy.
  • Embrace a fast-paced environment, making informed decisions with incomplete information and prioritizing shipping small, impactful changes quickly to test in the market and iterate.

Data AnalysisData MiningProduct ManagementUser Experience DesignProduct AnalyticsCommunication SkillsAnalytical SkillsRESTful APIsData visualizationStakeholder managementData analyticsA/B testing

Posted 2 days ago
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🔥 Data Scientist (Remote)
Posted 2 days ago

📍 United States

🧭 Full-Time

🔍 FinTech

  • Experience with R, Python, and machine learning tools
  • Evidence of applying advanced models to real-world problems
  • Advanced knowledge of SQL
  • Build, maintain, and improve decision systems and predictive models
  • Explore new data sources
  • Design and implement in-market experiments

PythonSQLAgileData MiningGitMachine LearningAlgorithmsData scienceCommunication SkillsAnalytical SkillsDevOpsData modeling

Posted 2 days ago
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