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Data modeling

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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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🔥 Senior Manager, Patient Support Services Operations

Posted about 1 hour ago

📍 United States of America

💸 132400.0 - 216000.0 USD per year

🔍 Pharmaceutical

🏢 Company: careers

🔧 Requirements

10 years of pharmaceutical experience
Minimum of 5 years of experience with working with IT / development teams to implement patient support programs
Bachelor's degree
Launch experience within the Cell/Gene or Rare Disease space

💡 Responsibilities

Support the Director, Operational Excellence in the development of our first gene therapy patient support program by understanding the intricacies of the CTG space and aligning program objectives with operational execution
Develop, create, and launch program SOPs, job aids, call guides, correspondences and materials (i.e., content and processes) for these support programs and have experience obtaining approvals through MLR committees.
Demonstrate a strong understanding of patient services, including business processes, operational flows, program design, and operational challenges and apply knowledge to PSS CRM system design and end user experience.
Act as a liaison and facilitate communication between cross-functional teams, including PSS Leads/IT, Data and Analytics, PSS Innovations, and relevant field teams, to build business processes within the CRM and help address technical challenges or requirements.
Work closely with Director, Ops Excellence to define business requirements and program objectives, map out their current workflows, identify areas for continuous improvement, and conduct impact analysis.

Leadership Project Management SQL Business Intelligence Data Analysis Salesforce Cross-functional Team Leadership Operations Management Business Operations Communication Skills Agile methodologies Cross-functional collaboration Market Research Process improvement CRM Data modeling Change Management

Posted about 1 hour 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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🔥 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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🔥 Senior Data Engineer

Posted about 15 hours ago

📍 Worldwide

🧭 Full-Time

🔍 Software Development

🏢 Company: Kit👥 11-50💰 over 1 year agoEducation Financial Services Apps

🔧 Requirements

Strong command of SQL, including DDL and DML.
Proficient in Python
Strong understanding of DBMS internals, including an appreciation for platform-specific nuances.
A willingness to work with Redshift and deeply understand its nuances.
Familiarity with our key tools (Redshift, Segment, dbt, github)
8+ years in data, with at least 3 years specializing in Data Engineering
Proven track record managing and optimizing OLAP clusters
Experience refactoring problematic data pipelines without disrupting business operations
History of implementing data quality frameworks and validation processes

💡 Responsibilities

Dive into our Redshift warehouse, dbt models, and workflows.
Evaluate the CRM data lifecycle, including source extraction, warehouse ingestion, transformation, and reverse ETL.
Refine and start implementing your design for source extraction and warehouse ingestion.
Complete the implementation of the CRM source extraction/ingestion project and use the learnings to refine your approach in preparation for other, similar initiatives including, but by no means limited to web traffic events and product usage logs.

Python SQL ETL Git Data engineering RDBMS Data modeling Data management

Posted about 15 hours ago

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🔥 Senior Data Governance Engineer

Posted about 16 hours ago

📍 Brazil

🔍 Data Governance

🏢 Company: TELUS Digital Brazil

🔧 Requirements

At least 3 years of experience in Data Governance, Metadata Management, Data Cataloging, or Data Engineering.
Have actively participated in the design, implementation, and management of data governance frameworks and data catalogs.
Experience working with Colibra and a strong understanding of the Collibra Operating Model, workflows, domains, and policies.
Experience working with APIs.
Experience with a low-code/no-code ETL tool, such as Informatica
Experience working with databases and data modeling projects, as well as practical experience utilizing SQL
Effective English communication - able to explain technical and non-technical concepts to different audiences
Experience with a general-purpose programming language such as Python or Scala
Ability to work well in teams and interact effectively with others
Ability to work independently and manage multiple tasks simultaneously while meeting deadlines

💡 Responsibilities

Conduct detailed assessments of the customer’s data governance framework and current-state Collibra implementation
Translate business needs into functional specifications for Collibra use cases
Serve as a trusted advisor to the customer’s data governance leadership
Lead requirement-gathering sessions and workshops with business users and technical teams
Collaborate with cross-functional teams to ensure data quality and support data-driven decision-making to strive for greater functionality in our data systems
Collaborate with project managers and product owners to assist in prioritizing, estimating, and planning development tasks
Provide constructive feedback and share expertise with fellow team members, fostering mutual growth and learning
Demonstrate a commitment to accessibility and ensure that your work considers and positively impacts others

Python SQL ETL Data engineering RESTful APIs Data visualization Data modeling Data analytics Data management

Posted about 16 hours ago

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🔥 Health Data Analytics Engineer

Posted about 16 hours ago

📍 United States

🧭 Full-Time

💸 135000.0 - 170000.0 USD per year

🔍 Healthcare

🏢 Company: SmarterDx👥 101-250💰 $50,000,000 Series B about 1 year agoArtificial Intelligence (AI)Hospital Information Technology Health Care

🔧 Requirements

3+ years of analytics engineering experience in the healthcare industry, involving clinical and/or billing/claims data.
You are very well-versed in SQL and ETL processes, significant experience in dbt is a must
You have experience in a general purpose programming language (Python, Java, Scala, Ruby, etc.)
You have strong experience in data modeling and their implementation in production data pipelines.
You are comfortable with the essentials of data orchestration

💡 Responsibilities

Designing, developing, and maintaining dbt data models that support our healthcare analytics products.
Integrating and transforming customer data to conform to our data specifications and standards.
Collaborating with cross-functional teams to translate data and business requirements into effective data models.
Configuring and improving data pipelines that integrate and connect the data models.
Conducting QA and testing on data models to ensure data accuracy, reliability, and performance.
Applying industry standards and best practices around data modeling, testing, and data pipelining.
Participating in a rota with other engineers to help investigate and resolve data related issues.

AWS PostgreSQL Python SQL Apache Airflow ETL Snowflake Data engineering Data modeling Data analytics

Posted about 16 hours ago

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