Data modeling Job Salaries

Find salary information for remote positions requiring Data modeling skills. Make data-driven decisions about your career path.

Data modeling

Median high-range salary for jobs requiring Data Modeling:

$178,000

This analysis is based on salary ranges collected from 343 job descriptions that match the search and allow working remotely. Choose a country to narrow down the search and view statistics exclusively for remote jobs available in that location.

The Median Salary Range is $132,033.33 - $178,000

  • 25% of job descriptions advertised a maximum salary above $221,000.
  • 5% of job descriptions advertised a maximum salary above $300,171.5.

Skills and Salary

Specific skills can have a substantial impact on salary ranges for jobs that align with these search preferences. Certain in-demand skills are highly valued by employers and can significantly boost compensation. These skills often reflect the unique requirements and challenges faced by professionals in these roles. Some of the most sought-after skills that correlate with higher salaries include AWS, Python and Communication Skills. Mastering these skills can demonstrate expertise and make individuals more competitive in the job market. Employers often prioritize candidates who possess these skills, as they can contribute directly to the organization's success. The ability to effectively utilize these skills can lead to increased earning potential and career advancement opportunities.

  1. AWS

    29% jobs mention AWS as a required skill. The Median Salary Range for these jobs is $150,000 - $200,000

    • 25% of job descriptions advertised a maximum salary above $245,480.25.
    • 5% of job descriptions advertised a maximum salary above $310,686.25.
  2. Python

    38% jobs mention Python as a required skill. The Median Salary Range for these jobs is $150,000 - $193,150

    • 25% of job descriptions advertised a maximum salary above $235,000.
    • 5% of job descriptions advertised a maximum salary above $314,500.
  3. Communication Skills

    49% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $134,115 - $185,000

    • 25% of job descriptions advertised a maximum salary above $230,057.
    • 5% of job descriptions advertised a maximum salary above $313,846.25.
  4. ETL

    30% jobs mention ETL as a required skill. The Median Salary Range for these jobs is $130,597.5 - $180,000

    • 25% of job descriptions advertised a maximum salary above $211,500.
    • 5% of job descriptions advertised a maximum salary above $266,500.
  5. SQL

    80% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $130,900 - $176,500

    • 25% of job descriptions advertised a maximum salary above $220,000.
    • 5% of job descriptions advertised a maximum salary above $302,730.
  6. Data analytics

    28% jobs mention Data analytics as a required skill. The Median Salary Range for these jobs is $132,600 - $175,000

    • 25% of job descriptions advertised a maximum salary above $216,250.
    • 5% of job descriptions advertised a maximum salary above $293,000.
  7. Analytical Skills

    41% jobs mention Analytical Skills as a required skill. The Median Salary Range for these jobs is $126,650 - $170,000

    • 25% of job descriptions advertised a maximum salary above $221,600.
    • 5% of job descriptions advertised a maximum salary above $300,269.5.
  8. Data visualization

    50% jobs mention Data visualization as a required skill. The Median Salary Range for these jobs is $126,375 - $168,075

    • 25% of job descriptions advertised a maximum salary above $210,000.
    • 5% of job descriptions advertised a maximum salary above $286,310.
  9. Data Analysis

    58% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $125,000 - $165,000

    • 25% of job descriptions advertised a maximum salary above $220,000.
    • 5% of job descriptions advertised a maximum salary above $313,855.

Industries and Salary

Industry plays a crucial role in determining salary ranges for jobs that align with these search preferences. Certain industries offer significantly higher compensation packages compared to others. Some in-demand industries known for their competitive salaries in these roles include Data Science, Cybersecurity and Software Development. These industries often have a strong demand for skilled professionals and are willing to invest in talent to meet their growth objectives. Factors such as industry size, profitability, and market trends can influence salary levels within these sectors. It's important to consider industry-specific factors when evaluating potential career paths and salary expectations.

  1. Data Science

    1% jobs are in Data Science industry. The Median Salary Range for these jobs is $159,500 - $231,500

    • 25% of job descriptions advertised a maximum salary above $282,450.
    • 5% of job descriptions advertised a maximum salary above $286,900.
  2. Cybersecurity

    1% jobs are in Cybersecurity industry. The Median Salary Range for these jobs is $163,000 - $192,500

    • 25% of job descriptions advertised a maximum salary above $226,000.
    • 5% of job descriptions advertised a maximum salary above $257,000.
  3. Software Development

    29% jobs are in Software Development industry. The Median Salary Range for these jobs is $144,572 - $190,300

    • 25% of job descriptions advertised a maximum salary above $239,000.
    • 5% of job descriptions advertised a maximum salary above $306,950.
  4. Financial Services

    1% jobs are in Financial Services industry. The Median Salary Range for these jobs is $111,050 - $190,232.16

    • 25% of job descriptions advertised a maximum salary above $197,350.
    • 5% of job descriptions advertised a maximum salary above $198,000.
  5. Fintech

    2% jobs are in Fintech industry. The Median Salary Range for these jobs is $117,057.5 - $175,000

    • 25% of job descriptions advertised a maximum salary above $219,000.
    • 5% of job descriptions advertised a maximum salary above $230,000.
  6. Data Engineering

    1% jobs are in Data Engineering industry. The Median Salary Range for these jobs is $126,100 - $168,150

    • 25% of job descriptions advertised a maximum salary above $169,537.5.
    • 5% of job descriptions advertised a maximum salary above $170,000.
  7. Finance

    2% jobs are in Finance industry. The Median Salary Range for these jobs is $114,160.77 - $159,500

    • 25% of job descriptions advertised a maximum salary above $224,810.91.
    • 5% of job descriptions advertised a maximum salary above $500,000.
  8. Healthcare

    5% jobs are in Healthcare industry. The Median Salary Range for these jobs is $119,600 - $153,225

    • 25% of job descriptions advertised a maximum salary above $197,500.
    • 5% of job descriptions advertised a maximum salary above $248,353.
  9. Data Analytics

    1% jobs are in Data Analytics industry. The Median Salary Range for these jobs is $113,000 - $133,000

    • 25% of job descriptions advertised a maximum salary above $266,893.75.
    • 5% of job descriptions advertised a maximum salary above $311,525.
  10. Software as a Service (SaaS)

    1% jobs are in Software as a Service (SaaS) industry. The Median Salary Range for these jobs is $100,000 - $122,500

    • 25% of job descriptions advertised a maximum salary above $132,000.
    • 5% of job descriptions advertised a maximum salary above $139,000.

Disclaimer: This analysis is based on salary ranges advertised in job descriptions found on Remoote.app. While it provides valuable insights into potential compensation, it's important to understand that advertised salary ranges may not always reflect the actual salaries paid to employees. Furthermore, not all companies disclose salary ranges, which can impact the accuracy of this analysis. Several factors can influence the final compensation package, including:

  • Negotiation: Salary ranges often serve as a starting point for negotiation. Your experience, skills, and qualifications can influence the final offer you receive.
  • Benefits: Salaries are just one component of total compensation. Some companies may offer competitive benefits packages that include health insurance, paid time off, retirement plans, and other perks. The value of these benefits can significantly affect your overall compensation.
  • Cost of Living: The cost of living in a particular location can impact salary expectations. Some areas may require higher salaries to maintain a similar standard of living compared to others.

Jobs

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πŸ“ US

🧭 Full-Time

πŸ’Έ 100000.0 - 140000.0 USD per year

🏒 Company: Go Nimbly

  • 7+ years of experience as a consultant or in a revenue operations role.
  • Strong proficiency in Clay for automating prospecting workflows, data enrichment, and lead qualification.
  • Experience integrating Clay with CRM and marketing automation platforms like Salesforce & HubSpot.
  • Ability to create and optimize data workflows using Clay’s AI-driven features, web scraping capabilities, and enrichment APIs.
  • Understanding of data hygiene and normalization best practices within Clay and how to operationalize enriched data in RevOps processes.
  • Experience with configuration of Salesforce.
  • Serious organization and project management skills.
  • A great presenter who builds strong relationships.
  • Guiding clients by presenting options, discerning trade-offs, and providing recommendations.
  • Documenting requirements and workstream plans.
  • Rapidly prototyping, testing, building, delivering, and measuring the success of solutions.
  • Tracking progress on work while keeping the team and clients up to date.
  • Learning and working in different sales and marketing technologies, including Salesforce, Hubspot, Eloqua, Marketo, and related applications.
  • Contributing to Go Nimbly’s internal knowledge-base by sharing successes, learnings, problem-solving with others, or leading trainings.
  • Managing client relationships.

SalesforceMarketingCRMData modeling

Posted about 7 hours ago
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πŸ“ EMEA

🧭 Full-Time

πŸ’Έ 40900.0 - 92050.0 USD per year

πŸ” B2B SaaS

🏒 Company: RemoteπŸ‘₯ 1001-5000πŸ’° $300,000,000 Series C almost 3 years agoπŸ«‚ Last layoff over 2 years agoHuman Resources Services

  • Extensive experience in a revenue operations or systems role, ideally in the B2B SaaS industry.
  • Deep hands-on experience with GTM technology stacks, including: CRM systems (Salesforce, HubSpot), Sales engagement tools (Outreach, Amplemarket, SalesLoft), AI-driven prospecting tools (Clay, ChatGPT API), Automation platforms (Zapier, Workato), Advanced data enrichment solutions, Lead management, multi-touch attribution, and predictive analytics.
  • Proficiency in SQL and at least one scripting language (Python, JavaScript) is preferred, as is experience with API integrations and data modeling.
  • Proven track record in leading and completing projects successfully.
  • Ability to implement continuous improvement initiatives in sales operations.
  • Exceptional communication and interpersonal skills, with the ability to foster strong cross-functional relationships.
  • Strategic thinker with strong analytical capabilities.
  • Design and maintain a robust GTM tech stack to streamline outbound prospecting and minimize manual efforts.
  • Identify repetitive tasks and implement automated workflows to boost efficiency and scalability.
  • Develop robust reporting mechanisms and conduct ROI analyses to measure the impact of GTM systems.
  • Ensure data accuracy and integrity across GTM systems, maintaining a high standard of quality.
  • Work closely with Sales, Revenue Operations, and Technology teams to ensure seamless system integration and adoption.
  • Document and implement streamlined sales processes.
  • Analyze product offerings and customer data to create detailed Ideal Customer Profiles (ICPs).
  • Develop and maintain automated data pipelines for accurate and up-to-date prospect information.
  • Continuously measure and optimize GTM systems to align with revenue goals.
  • Lead quarterly innovation initiatives, testing AI-driven prospecting, dynamic segmentation, and workflow automation.

Project ManagementPythonSQLBusiness IntelligenceData AnalysisETLJavascriptSalesforceProject CoordinationCross-functional Team LeadershipBusiness OperationsAPI testingAgile methodologiesRESTful APIsSales experienceData visualizationLead GenerationStrategic thinkingCRMData modelingSaaS

Posted about 7 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 100000.0 - 170000.0 USD per year

πŸ” Healthcare

🏒 Company: QventusπŸ‘₯ 101-250πŸ’° $85,000,000 Series D 2 months agoArtificial Intelligence (AI)Machine LearningHospitalAnalyticsHealth Care

  • 5+ years of project/program management experience with a comprehensive understanding of the business requirements and technical capabilities needed for an enterprise-wide SaaS implementation.
  • 5 years of professional experience working at a top healthcare consulting firm, digital health company, or health system.
  • 5+ years of experience working cross-functionally with multiple teams, both internally and externally, to manage end-to-end project lifecycles and to drive project milestones to completion.
  • Demonstrated ability to lead and develop staff
  • Experience with technical implementation of healthcare SaaS solutions
  • Knowledge of inpatient metrics, processes, challenges, and solutions; ability to engage in strategic and operational discussions with hospital leaders and surgeons.
  • A track record of applying strong quantitative and analytical skills in prior roles.
  • Prior experience managing projects for hospital systems (e.g. EHR implementations) is required
  • A passion for fixing our healthcare system
  • Skilled at understanding, documenting, and analyzing data using a variety of tools (Data validation dashboards, interpreting JAVA/SQL code, complex Excel functions, etc.)
  • Ability to travel on average 25-30%
  • Develop and manage 3-5 team members.
  • Resolves complex account issues largely independently, but knows when to bring to bear resources from across the organization.
  • Surface risks and advise internal and external leaders on mitigation strategies to drive efficient resolutions
  • Collaborate with Data Engineers, Product Specialists and Client Success Partners throughout each deployment to identify and implement solutions that maximize client value and satisfy client needs
  • Define and manage the implementation timeline for enterprise-wide deployment of Qventus Inpatient Solution
  • Partner with operational and technical client teams to ensure implementation requirements/needs are met
  • Build and manage relationships at multiple levels of client IT teams
  • Act as the primary owner of the implementation for assigned client accounts, operating with a high level of autonomy and accountability while ensuring successful outcomes with minimal oversight
  • Craft, manage and deliver high-impact, visually compelling client communications and presentations.
  • Provide clinical, technical and process expertise into solution design in order to address customer use cases and to deliver results.

Project ManagementSoftware DevelopmentSQLAgileBusiness AnalysisData AnalysisPeople ManagementProject CoordinationCross-functional Team LeadershipOperations ManagementCommunication SkillsAnalytical SkillsMicrosoft ExcelProblem SolvingCustomer serviceAgile methodologiesMentoringDocumentationMS OfficeCritical thinkingAccount ManagementTrainingTroubleshootingClient relationship managementBudgetingCross-functional collaborationRisk ManagementData visualizationTeam managementStakeholder managementStrategic thinkingProcess improvementTechnical supportFinancial analysisAnalytical thinkingData modelingChange ManagementSaaSBudget managementPowerPoint

Posted about 7 hours ago
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πŸ“ Canada

πŸ’Έ 140000.0 - 215000.0 CAD per year

πŸ” Software Development

🏒 Company: Collective[i]

The candidate should be an early adopter embracing AI to improve outcomes, a thought leader, thrive on competition, be intrinsically motivated to win, has a proven track record of closing large, complex deals.
Instrumental in helping leading revenue organizations operate more productively and profitably using AI delivered via Collective[i]'s award winning applications.

AWSLeadershipArtificial IntelligenceCloud ComputingData AnalysisMachine LearningSalesforceCross-functional Team LeadershipAPI testingREST APICommunication SkillsCI/CDProblem SolvingAgile methodologiesMentoringNegotiationCoachingAccount ManagementClient relationship managementSales experienceData visualizationTeam managementStrategic thinkingCRMData modelingSaaS

Posted about 8 hours ago
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πŸ”₯ Staff Software Engineer
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πŸ“ United States

πŸ’Έ 240000.0 - 250000.0 USD per year

πŸ” Software Development

🏒 Company: dbt LabsπŸ‘₯ 251-500πŸ’° $222,000,000 Series D about 3 years agoπŸ«‚ Last layoff over 1 year agoArtificial Intelligence (AI)Open SourceBig DataAnalyticsInformation TechnologySoftware

  • Worked asynchronously as part of a fully remote, international, distributed team
  • Have experience using Python and Node to create scalable full-stack applications (e.g., building services for applications with complex workflows)
  • Enjoy collaborating closely with product management partners
  • Have worked with Elasticsearch or other search platforms
  • Have experience scaling and designing complex data models
  • Can make informed trade-offs to ship useful features promptly without compromising long-term quality
  • Mentor teammates and serve as a technical lead
  • Design and implement scalable, reliable, and highly available system
  • Align the team's architectural vision with broader company-wide architectural goals.
  • Balance trade-offs, set priorities, and manage deliverables using your project completion expertise
  • Foster efficient and confident teamwork through high-leverage tooling, mentorship, and your knowledge of industry trends and best practices
  • Establish and uphold quality standards to enhance overall service reliability
  • Participate in daily stand-ups, mentoring sessions, and pair programming

AWSBackend DevelopmentNode.jsPostgreSQLPythonSoftware DevelopmentSQLElasticSearchFull Stack DevelopmentAPI testingData engineeringRESTful APIsMicroservicesData modeling

Posted about 8 hours ago
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πŸ“ Canada

🧭 Full-Time

πŸ’Έ 98400.0 - 137800.0 CAD per year

πŸ” Software Development

🏒 Company: HootsuiteπŸ‘₯ 1001-5000πŸ’° $50,000,000 Debt Financing about 7 years agoπŸ«‚ Last layoff about 2 years agoDigital MarketingSocial Media MarketingSocial Media ManagementApps

  • A degree in Computer Science or Engineering, and 5-8  years of experience in developing and maintaining software or an equivalent level of education or work experience, and a track record of substantial contributions to software projects with high business impact
  • Experience writing clean code that performs well at scale; ideally experienced with languages like Python, Scala, Java, Go, and shell script
  • Passionate interest in data engineering and infrastructure; ingestion, storage and compute in relational, NoSQL, and serverless architectures
  • Experience with various types of data stores, query engines and frameworks, e.g. PostgreSQL, MySQL, S3, Redshift/Spectrum, Presto/Athena, Spark
  • Experience working with message queues such as Kafka and Kinesis
  • Experience developing data pipelines and integrations for high volume, velocity and variety of data
  • Experience with data warehousing and data modeling best practices
  • Work within a cross-functional team (including analysts, product managers, and other developers) to deliver data products and services to our internal stakeholders
  • Conduct directed research and technical analysis of new candidate technologies that fill a development team’s business or technical need
  • Provide technical advice, act as a role model for your teammates, flawlessly execute complicated plans, and navigate many levels of the organization
  • Contribute enhancements to development, build, deployment, and monitoring processes with an emphasis on security, reliability and performance
  • Implement our technical roadmap as we scale our services and build new data products
  • Participate in code reviews, attend regular team meetings, and apply software development best practices
  • Take ownership of your work, and work autonomously when necessary
  • Recognize opportunities to improve efficiency in our data systems and processes, increase data quality, and enable consistent and reliable results
  • Participate in the design and implementation of our next generation data platform to empower Hootsuite with data
  • Participate in the development of the technical hiring process and interview scripts with an aim of attracting and hiring the best developers

AWSPostgreSQLPythonSoftware DevelopmentSQLAgileBashCloud ComputingData AnalysisETLGitJavaKafkaMySQLData engineeringGoServerlessNosqlSparkCI/CDRESTful APIsScalaData visualizationData modelingScriptingData management

Posted about 9 hours ago
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πŸ“ United States

πŸ’Έ 232500.0 - 325500.0 USD per year

πŸ” Advertising

  • PhD or Master's degree in Economics, Statistics, Machine Learning, Operations Research, or other quantitative fields (If M.S. degree, a minimum of 8+ years of industry data science experience required; If PhD degree, a minimum of 6+ years of industry data science experience required)
  • 4+ years of people management experience. Experience managing managers is a bonus
  • Strong skills in programming (Python or R) and SQL
  • Experience/interest in building data foundations, and/or enabling self-serve analytics through DS methods
  • Deep understanding of online experimentation and causal inference
  • Ability to communicate & discuss low-level technical topics as well as high-level strategies
  • Comfortable in innovative and fast-paced environments, and an innate ability to bias toward action
  • Results-oriented with a strong customer and business focus
  • Track-record driving product roadmap and execution with strong cross-org collaborations
  • Ability to provide structure and tackle ambiguous and undefined problems
  • Inspire, lead, and grow a team of data scientists to achieve our longer term vision
  • Drive analytics/data science projects end-to-end in partnership with Product, Engineering, and other partners to inform product strategy and investment decisions
  • Analyze large datasets to identify trends, patterns, and insights that can help drive advertiser adoption, ads user experience and help cross-functional teams (e.g., product, engineering, marketing) to define and execute data-driven strategies
  • Actively influence the design of the strategy and shaping of the roadmap
  • Generate and utilize team insights to set and prioritize longer term goals
  • Create and implement A/B testing, experimentation, and other cutting-edge statistical/mathematical frameworks and foundational ML models to analyze product performance
  • Continually develop & execute on a Data Science roadmap and vision for your team
  • Stay abreast of industry best practices and emerging technologies in the field of advertising and data science
  • Foster a culture of innovation, collaboration, and technical excellence
  • Be an integral part of the Data Science Organization, leveraging and contributing to the vibrant knowledge base, shared across a community of world-class data experts

PythonSQLData AnalysisData MiningMachine LearningPeople ManagementAlgorithmsData scienceData visualizationData modelingA/B testing

Posted about 10 hours ago
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πŸ“ United States

πŸ’Έ 63000.0 - 108675.0 USD per year

πŸ” Health Care

🏒 Company: vspvisioncareers

  • Bachelor's degree in Computer Science or related field or equivalent experience
  • 4+ years of experience performing analysis of information systems
  • Experience coding; must read/comprehend code in order to design technical specifications
  • Utilize in-depth technical knowledge for analysis and drive technical transition, system modification/enhancements, and aid in process of technical development.
  • Be a strategic liaison and focal point of communication between GTS staff, management, and business partners in order to achieve creative and effective technical solutions.
  • Perform strategic technical research and analysis for all lines of business.
  • Produce efficient functional and technical specifications for moderately complex to complex projects
  • Research and determine technical system implications from business user stories
  • Provide technical requirements definition, detailed development specifications, development, test methods, and project/functionality delivery in line with the long-term goals and objectives and architecture
  • Utilize developed knowledge of information systems, including but not limited to system flow, input and output requirement, infrastructure, and coding, in order to create technical designs which, ensure business needs are met
  • Stay informed of GTS architecture and strategic goals to ensure the preservation of these in projects throughout the enterprise; also remain current and comprehend the vision, long-term objectives, and goals
  • Conduct technical analysis of complex issues and actively participate or lead throughout development cycles and/or enterprise modifications
  • Serve as resource and point of contact for technical team members for delivery and support of design/development cycle, and post-implementation
  • Develop technical plans and analyze, identify, plan, and manage scope and risks required to meet goals of moderately complex to complex projects
  • Facilitate and influence communications between technical and business units to drive technical projects to optimal outcome
  • Continually look for process improvement strategies
  • Conduct impact analysis and mitigate risks
  • Remain current on new technologies; introduce applicable technology in alignment with goals and for creative solutions
  • Guide change with a focus on optimal outcomes

Project ManagementSoftware DevelopmentSQLBusiness AnalysisData AnalysisETLSAPAPI testingREST APIAnalytical SkillsCustomer serviceExcellent communication skillsProblem-solving skillsCross-functional collaborationRisk ManagementData modelingScriptingChange Management

Posted about 14 hours ago
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πŸ“ United States of America

πŸ’Έ 68640.0 - 102960.0 USD per year

πŸ” Financial Crimes Risk Management

  • 5+ years related business analysis experience required
  • Proficiency in SQL and or equivalent computer languages
  • Experience with data modeling and/or data transformation tools a plus (Erwin, SQL Developer, Informatica)
  • Experience working with Microsoft Azure cloud infrastructure a plus
  • Leads a diverse range of stakeholders; communicates effectively by adapting style and technique to a diverse audience
  • Analyzes impacts to customers, stakeholders, employees, process, technology solutions to achieve business results
  • Understands and clarifies work packages of each assigned initiative/project inclusive of constraints (time, cost, people resources) and maintain a customer-centric approach

SQLBusiness AnalysisData AnalysisErwinCommunication SkillsMicrosoft ExcelProblem SolvingData visualizationData modelingData managementChange Management

Posted about 16 hours ago
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πŸ“ United States

🧭 Full-Time

πŸ’Έ 171000.0 - 209000.0 USD per year

🏒 Company: HeadspaceπŸ‘₯ 11-50WellnessHealth CareChild Care

  • 10+ years of progressive experience in Strategic Finance, Corporate Finance, Investment Banking, Consulting, or other highly analytical financial roles.
  • Strong track record of financial leadership with experience overseeing both strategic finance and corporate financial reporting functions.
  • Expertise in financial modeling, forecasting, and advanced data analysis.
  • Ability to translate complex financial data into actionable business insights, effectively communicating to senior executives and non-finance stakeholders.
  • Experience managing SG&A and back-office financial operations across multiple departments.
  • Highly organized and detail-oriented, with the ability to manage multiple priorities in a fast-paced environment.
  • Strong leadership and people management skills, with experience building and scaling finance teams.
  • BA or BS in Finance, Accounting, Economics, or a related quantitative field.
  • Lead and oversee both the Strategic Finance and Corporate Finance teams, ensuring alignment between financial planning, corporate strategy, and company growth objectives.
  • Drive strategic financial decision-making by integrating market trends and competitive insights through in-depth financial modeling, forecasting, and business insights that impact long-term growth and profitability.
  • Provide financial leadership on capital allocation decisions, including defining and managing a ROI framework to ensure optimal use of resources.
  • Oversee all internal and external financial reporting, ensuring accuracy, timeliness, and compliance with corporate and regulatory standards.
  • Manage SG&A and business partner for back-office functions such as Legal, Finance, and HR, optimizing cost efficiency and operational effectiveness.
  • Partner with senior business leaders across all functions to provide financial guidance, influencing corporate strategy and operational execution.
  • Lead deep-dive financial analyses to uncover opportunities for growth, cost optimization, and operational efficiencies.
  • Partner with the Finance Leadership Team and People Team to build and execute a comprehensive talent development strategy, while directly owning the growth and development of the Strategic & Corporate Finance teams. Foster leadership, collaboration, and operational excellence, ensuring alignment with Headspace’s core values and expectations for high performance

LeadershipProject ManagementBusiness IntelligenceData AnalysisPeople ManagementCross-functional Team LeadershipOperations ManagementStrategyBusiness OperationsFinancial ManagementStrategic ManagementCommunication SkillsAnalytical SkillsMicrosoft ExcelAccountingComplianceReportingBudgetingRisk ManagementData visualizationStrategic thinkingFinancial analysisData modeling

Posted about 16 hours ago
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