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.

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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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.
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.
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.
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.
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.
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.
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.
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.
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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🔥 Sr. RevOps Consultant (Clay expert)

Posted about 7 hours ago

📍 US

🧭 Full-Time

💸 100000.0 - 140000.0 USD per year

🏢 Company: Go Nimbly

🔧 Requirements

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.

💡 Responsibilities

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.

Salesforce Marketing CRM Data modeling

Posted about 7 hours ago

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🔥 GTM Engineer, Revenue Operations

Posted about 7 hours ago

📍 EMEA

🧭 Full-Time

💸 40900.0 - 92050.0 USD per year

🔍 B2B SaaS

🏢 Company: Remote👥 1001-5000💰 $300,000,000 Series C almost 3 years ago🫂 Last layoff over 2 years agoHuman Resources Services

🔧 Requirements

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.

💡 Responsibilities

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 Management Python SQL Business Intelligence Data Analysis ETL Javascript Salesforce Project Coordination Cross-functional Team Leadership Business Operations API testing Agile methodologies RESTful APIs Sales experience Data visualization Lead Generation Strategic thinking CRM Data modeling SaaS

Posted about 7 hours ago

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🔥 Inpatient Manager, Implementation Success

Posted about 7 hours ago

📍 United States

🧭 Full-Time

💸 100000.0 - 170000.0 USD per year

🔍 Healthcare

🏢 Company: Qventus👥 101-250💰 $85,000,000 Series D 2 months agoArtificial Intelligence (AI)Machine Learning Hospital Analytics Health Care

🔧 Requirements

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%

💡 Responsibilities

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 Management Software Development SQL Agile Business Analysis Data Analysis People Management Project Coordination Cross-functional Team Leadership Operations Management Communication Skills Analytical Skills Microsoft Excel Problem Solving Customer service Agile methodologies Mentoring Documentation MS Office Critical thinking Account Management Training Troubleshooting Client relationship management Budgeting Cross-functional collaboration Risk Management Data visualization Team management Stakeholder management Strategic thinking Process improvement Technical support Financial analysis Analytical thinking Data modeling Change Management SaaS Budget management PowerPoint

Posted about 7 hours ago

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🔥 Senior Enterprise Account Executive (Remote, Canada)

Posted about 8 hours ago

📍 Canada

💸 140000.0 - 215000.0 CAD per year

🔍 Software Development

🏢 Company: Collective[i]

🔧 Requirements

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.

💡 Responsibilities

Instrumental in helping leading revenue organizations operate more productively and profitably using AI delivered via Collective[i]'s award winning applications.

AWS Leadership Artificial Intelligence Cloud Computing Data Analysis Machine Learning Salesforce Cross-functional Team Leadership API testing REST API Communication Skills CI/CD Problem Solving Agile methodologies Mentoring Negotiation Coaching Account Management Client relationship management Sales experience Data visualization Team management Strategic thinking CRM Data modeling SaaS

Posted about 8 hours ago

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🔥 Staff Software Engineer

Posted about 8 hours ago

📍 United States

💸 240000.0 - 250000.0 USD per year

🔍 Software Development

🏢 Company: dbt Labs👥 251-500💰 $222,000,000 Series D about 3 years ago🫂 Last layoff over 1 year agoArtificial Intelligence (AI)Open Source Big Data Analytics Information Technology Software

🔧 Requirements

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

💡 Responsibilities

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

AWS Backend Development Node.js PostgreSQL Python Software Development SQL ElasticSearch Full Stack Development API testing Data engineering RESTful APIs Microservices Data modeling

Posted about 8 hours ago

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🔥 Senior Software Developer, Data Technology

Posted about 9 hours ago

📍 Canada

🧭 Full-Time

💸 98400.0 - 137800.0 CAD per year

🔍 Software Development

🏢 Company: Hootsuite👥 1001-5000💰 $50,000,000 Debt Financing about 7 years ago🫂 Last layoff about 2 years agoDigital Marketing Social Media Marketing Social Media Management Apps

🔧 Requirements

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

💡 Responsibilities

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

AWS PostgreSQL Python Software Development SQL Agile Bash Cloud Computing Data Analysis ETL Git Java Kafka MySQL Data engineering Go Serverless Nosql Spark CI/CD RESTful APIs Scala Data visualization Data modeling Scripting Data management

Posted about 9 hours ago

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🔥 Senior Data Science Manager, Ads Marketplace

Posted about 10 hours ago

📍 United States

💸 232500.0 - 325500.0 USD per year

🔍 Advertising

🔧 Requirements

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

💡 Responsibilities

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

Python SQL Data Analysis Data Mining Machine Learning People Management Algorithms Data science Data visualization Data modeling A/B testing

Posted about 10 hours ago

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🔥 IT Procurement Systems Analyst

Posted about 14 hours ago

📍 United States

💸 63000.0 - 108675.0 USD per year

🔍 Health Care

🏢 Company: vspvisioncareers

🔧 Requirements

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

💡 Responsibilities

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 Management Software Development SQL Business Analysis Data Analysis ETL SAP API testing REST API Analytical Skills Customer service Excellent communication skills Problem-solving skills Cross-functional collaboration Risk Management Data modeling Scripting Change Management

Posted about 14 hours ago

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🔥 Sr Business Data Analyst (US)

Posted about 16 hours ago

📍 United States of America

💸 68640.0 - 102960.0 USD per year

🔍 Financial Crimes Risk Management

🔧 Requirements

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

💡 Responsibilities

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

SQL Business Analysis Data Analysis Erwin Communication Skills Microsoft Excel Problem Solving Data visualization Data modeling Data management Change Management

Posted about 16 hours ago

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🔥 Senior Director, Strategic & Corporate Finance

Posted about 16 hours ago

📍 United States

🧭 Full-Time

💸 171000.0 - 209000.0 USD per year

🏢 Company: Headspace👥 11-50 Wellness Health Care Child Care

🔧 Requirements

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.

💡 Responsibilities

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

Leadership Project Management Business Intelligence Data Analysis People Management Cross-functional Team Leadership Operations Management Strategy Business Operations Financial Management Strategic Management Communication Skills Analytical Skills Microsoft Excel Accounting Compliance Reporting Budgeting Risk Management Data visualization Strategic thinking Financial analysis Data modeling

Posted about 16 hours ago

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Shown 10 out of 407

Data modeling Job Salaries

Median high-range salary for jobs requiring Data Modeling:

Skills and Salary

AWS

Python

Communication Skills

ETL

SQL

Data analytics

Analytical Skills

Data visualization

Data Analysis

Industries and Salary

Data Science

Cybersecurity

Software Development

Financial Services

Fintech

Data Engineering

Finance

Healthcare

Data Analytics

Software as a Service (SaaS)

Jobs