Tableau Job Salaries

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

Tableau

Median high-range salary for jobs requiring Tableau:

$146,000

This analysis is based on salary ranges collected from 147 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 $110,000 - $146,000

25% of job descriptions advertised a maximum salary above $183,750.
5% of job descriptions advertised a maximum salary above $250,600.

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 Python, Communication Skills and SQL. 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.

Python
30% jobs mention Python as a required skill. The Median Salary Range for these jobs is $120,000 - $157,500
- 25% of job descriptions advertised a maximum salary above $203,550.
- 5% of job descriptions advertised a maximum salary above $300,000.
Communication Skills
25% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $109,000 - $157,500
- 25% of job descriptions advertised a maximum salary above $202,500.
- 5% of job descriptions advertised a maximum salary above $329,770.
SQL
66% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $112,000 - $150,000
- 25% of job descriptions advertised a maximum salary above $186,250.
- 5% of job descriptions advertised a maximum salary above $242,567.5.
Data modeling
25% jobs mention Data modeling as a required skill. The Median Salary Range for these jobs is $113,850 - $150,000
- 25% of job descriptions advertised a maximum salary above $210,000.
- 5% of job descriptions advertised a maximum salary above $278,317.5.
Analytical Skills
24% jobs mention Analytical Skills as a required skill. The Median Salary Range for these jobs is $110,000 - $146,000
- 25% of job descriptions advertised a maximum salary above $187,500.
- 5% of job descriptions advertised a maximum salary above $323,750.
Business Intelligence
20% jobs mention Business Intelligence as a required skill. The Median Salary Range for these jobs is $110,000 - $145,296
- 25% of job descriptions advertised a maximum salary above $193,800.
- 5% of job descriptions advertised a maximum salary above $350,000.
Data visualization
48% jobs mention Data visualization as a required skill. The Median Salary Range for these jobs is $108,200 - $144,000
- 25% of job descriptions advertised a maximum salary above $187,500.
- 5% of job descriptions advertised a maximum salary above $238,047.5.
Data Analysis
74% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $109,000 - $141,000
- 25% of job descriptions advertised a maximum salary above $180,000.
- 5% of job descriptions advertised a maximum salary above $245,250.
Salesforce
22% jobs mention Salesforce as a required skill. The Median Salary Range for these jobs is $102,345 - $130,000
- 25% of job descriptions advertised a maximum salary above $190,808.
- 5% of job descriptions advertised a maximum salary above $284,212.5.

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 Analytics, Software Development and AI and machine learning. 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 Analytics
2% jobs are in Data Analytics industry. The Median Salary Range for these jobs is $170,000 - $210,000
- 25% of job descriptions advertised a maximum salary above $243,000.
- 5% of job descriptions advertised a maximum salary above $254,000.
Software Development
6% jobs are in Software Development industry. The Median Salary Range for these jobs is $135,000 - $190,000
- 25% of job descriptions advertised a maximum salary above $206,775.
- 5% of job descriptions advertised a maximum salary above $221,600.
AI and machine learning
1% jobs are in AI and machine learning industry. The Median Salary Range for these jobs is $160,000 - $185,000
- 25% of job descriptions advertised a maximum salary above $210,000.
B2B SaaS
2% jobs are in B2B SaaS industry. The Median Salary Range for these jobs is $136,000 - $180,000
- 25% of job descriptions advertised a maximum salary above $224,212.5.
- 5% of job descriptions advertised a maximum salary above $238,950.
Health tech
2% jobs are in Health tech industry. The Median Salary Range for these jobs is $140,000 - $160,000
- 25% of job descriptions advertised a maximum salary above $302,500.
- 5% of job descriptions advertised a maximum salary above $350,000.
Finance
1% jobs are in Finance industry. The Median Salary Range for these jobs is $111,000 - $159,000
Healthcare
3% jobs are in Healthcare industry. The Median Salary Range for these jobs is $100,000 - $150,000
- 25% of job descriptions advertised a maximum salary above $199,924.
- 5% of job descriptions advertised a maximum salary above $220,000.
AI lending marketplace
2% jobs are in AI lending marketplace industry. The Median Salary Range for these jobs is $108,300 - $150,000
- 25% of job descriptions advertised a maximum salary above $200,625.
- 5% of job descriptions advertised a maximum salary above $217,500.
Mental Health
2% jobs are in Mental Health industry. The Median Salary Range for these jobs is $120,000 - $150,000
- 25% of job descriptions advertised a maximum salary above $185,325.
- 5% of job descriptions advertised a maximum salary above $197,100.
Fintech
3% jobs are in Fintech industry. The Median Salary Range for these jobs is $103,680 - $149,592
- 25% of job descriptions advertised a maximum salary above $177,750.
- 5% of job descriptions advertised a maximum salary above $202,800.

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

174 jobs found. to receive daily emails with new job openings that match your preferences.

174 jobs found.

Set alerts to receive daily emails with new job openings that match your preferences.

Apply

🔥 Sr. Principal Cyber Metrics & Reporting Engineer - Remote US

Posted about 5 hours ago

📍 United States

💸 138000.0 - 238050.0 USD per year

🔍 Life Science

🔧 Requirements

Minimum Bachelor's degree in Cybersecurity, Data analytics, Information Systems, or a related field.
A minimum of 8 years of demonstrable experience in cyber metrics and reporting, business analytics, requirements analysis, forecasting, industry research, planning, and/or management consulting required to enable data storytelling to enable visualization
Experience in SQL data modeling, SQL query development and understanding of ETL is required.
Understanding of designing and developing cybersecurity dashboards using tools like Tableau, Power BI, or similar.
Strong experience with requirements analysis and testing
Awareness of relevant industry trends and standard processes in cybersecurity metrics and reporting.
Ability to collect, analyze, and interpret large datasets to derive relevant insights and trends.
Ability to effectively collect and communicate complex information to customers.
Proactive and self-motivated approach to work, with excellent problem-solving and analytical skills.
Superb communication and storytelling skills, with the ability to shape messages for various audiences; including insights to executive-level audiences.
Analytical approach, with the ability to analyze data and identify insights.
Strong collaboration and customer management skills with a track record of successful delivery across multi-functional teams.
Ability to work effectively at all levels of the organization, from executive committee to individual employees.
Demonstrated Project Management, Scrum, Agile skills is required

💡 Responsibilities

Shape, develop and implement an effective cybersecurity metrics & reporting requirements capability
Partner with customers to define report requirements, ensuring clarity and feasibility
Documents detailed reporting specifications, including data sources, metrics, and presentation format.
Validates report designs, data, and developed reports against business requirements.
Conducts detailed testing on reports, focusing on data preciseness, visual integrity, and usability.
Works with visualization and data & analytics teams to resolve any identified issues.
Conduct data discovery tied to requirements, including exploratory data analysis, data quality assessment.
Analyze requirements and data sources to identify patterns, key insights, action items, and storytelling potential.
Translate data into value while assessing effective data visualization, experience design and trending analytics linked to business and cybersecurity objectives.
Describe the key elements of a successful data story: knowing one’s audience, defining a goal, maintaining engagement, and being explicit about the takeaways.
Measure how a data story achieves its intended goals and where it can be optimized.
Identify, design and implement requirements to inform reporting, dashboards and strategy.
Identify and create metrics to measure performance through automated dashboards.

SQL Business Intelligence Cybersecurity Data Analysis ETL Tableau Data engineering Data visualization Data modeling Data analytics

Posted about 5 hours ago

Apply

🔥 Manager, Financial Data, Planning & Analytics

Posted 1 day ago

📍 Canada

💸 104000.0 - 121600.0 CAD per year

🔍 Technology, SaaS, telecommunications, high-growth

🏢 Company: Tucows Inc.

🔧 Requirements

6+ years of experience in financial planning, analysis, and financial systems transformation.
2+ years in management roles overseeing FP&A processes and people.
Strong proficiency in financial modeling, data analysis, and financial automation tools.
Experience with ERP systems (e.g., Sage Intacct, NetSuite) and BI tools (e.g., Looker, Tableau, Power BI).
Proven ability to automate financial processes, integrate AI-driven tools, and optimize financial reporting structures.
Strong leadership skills with experience in fostering collaboration across finance and operational teams.
Excellent oral, written, and visual communication skills, with the ability to present financial findings to executive leadership.

💡 Responsibilities

Lead and own the annual budgeting and planning cycle, ensuring coordination across all business unit finance teams.
Maintain and improve forecasting processes, including quarterly forecasting and continuous planning methodologies.
Develop the company’s long-term financial forecast and financial models to support strategic decision-making.
Drive the modernization of financial systems and reporting infrastructure to enhance efficiency, automation, and AI-driven analytics.
Oversee the administration, optimization, and integration of financial systems (e.g., ERP, BI tools, planning software) to improve data flow and usability.
Partner with IT and finance teams to implement AI-driven automation and machine learning algorithms to enhance financial forecasting and decision-making.
Assess and optimize financial processes and technology, identifying automation opportunities and ensuring scalability.
Develop and maintain management reporting, dashboards, and KPIs to analyze business performance, including variances to budget, forecast, and prior periods.
Prepare financial reports and dashboards for executive management, leveraging AI-powered insights and automated reporting tools.
Support Board and Audit Committee presentations, ensuring data accuracy, KPI performance tracking, and financial analysis.
Leverage financial insights to contribute to quarterly and annual management discussions and regulatory filings (e.g., 10K and 10Q reporting).
Act as a strategic finance business partner to corporate leadership, helping shape financial strategy and operational efficiency.
Lead monthly variance analysis, collaborating directly with operational management and executives to identify and resolve budget discrepancies.
Provide decision-support analysis for business and procurement decisions, leveraging financial data and market insights.
Research broader economic trends and incorporate findings into financial modeling and forecasting.

Leadership Project Management SQL Data Analysis People Management Tableau Financial Management RDBMS Communication Skills Analytical Skills Microsoft Excel Accounting Budgeting Data visualization Stakeholder management Strategic thinking Process improvement Financial analysis Data modeling Finance Budget management PowerPoint

Posted 1 day ago

Apply

🔥 E-Commerce Business Intelligence Analyst | 100% Remote EU

Posted 1 day ago

📍 Albania, Bosnia and Herzegovina, Croatia, Czech Republic, Estonia, Greece, Georgia, Kosovo, Latvia, Lithuania, Moldova, Montenegro, North Macedonia, Poland, Portugal, Romania, Slovakia, Malta, Slovenia, Serbia, Cyprus, Bulgaria, Hungary, Netherlands, the United Kingdom, and South Africa

🧭 Full-Time

💸 1800.0 - 2800.0 EUR per month

🔍 E-Commerce

🏢 Company: Foxelli Group👥 51-100 Digital Marketing E-Commerce Marketing

🔧 Requirements

Strong analytical skills with experience in e-commerce data analysis, including customer behavior, sales, inventory, and website traffic.
Expertise in developing customer journey maps and reporting KPIs and business trends using tools like Google Analytics, Power BI, or Tableau.
Proficient in predictive modeling and optimizing marketing campaigns, inventory, and website layouts based on data-driven insights.
Experience with A/B testing, conversion rate optimization, and collaborating with UX/UI teams to enhance user experience.
Familiarity with data privacy laws and best practices for data governance and security.
Skilled in setting up automated performance monitoring and alerts for site issues or metric shifts.
Ability to stay updated with the latest industry trends and continuously improve data analysis processes and tools.

💡 Responsibilities

Analyze data to identify trends, patterns, and insights related to customer behavior, sales, inventory, and website traffic.
Develop customer journey maps for various segments, illustrating paths from initial contact to final purchase.
Create reports and dashboards highlighting KPIs, insights, and business trends.
Define and track necessary analytics, providing actionable recommendations for team success.
Develop predictive models to forecast sales and customer behavior for optimizing inventory, marketing, and product strategies.
Optimize marketing campaigns and website layouts using data-driven insights.
Conduct A/B testing to enhance website conversion rates and customer engagement.
Collaborate with UX/UI teams to implement data-driven improvements for a smoother customer journey.
Leverage insights to optimize marketing channels and increase engagement and conversion rates.
Monitor the impact of changes and continuously test to improve user experience and outcomes.
Ensure compliance with data privacy laws and enforce data governance and security policies.
Stay updated with industry trends and explore new tools and sources to enhance data analysis capabilities.
Monitor website performance daily and set up automated alerts for any significant issues.
Provide rapid response analyses and recommendations to address shifts or problems in site performance.

SQL Business Intelligence Data Analysis Data Mining ETL Google Analytics Tableau REST API Communication Skills Analytical Skills Problem Solving JSON Data visualization Data modeling A/B testing

Posted 1 day ago

Apply

🔥 Director Growth Marketing

Posted 1 day ago

📍 United States

💸 180000.0 - 220000.0 USD per year

🔍 DTC, beauty, skincare

🏢 Company: Curology👥 251-500💰 almost 4 years ago🫂 Last layoff almost 3 years agoCosmetics Consumer Goods Health Care Beauty

🔧 Requirements

10+ years of growth marketing and media planning experience, with 3+ years of team leadership in a DTC, beauty, or skincare environment.
Proven track record managing $100M+ combined media budgets with expertise in performance marketing, attribution, and paid social/search.
Deep understanding of Google, Meta, TikTok, and other key acquisition platforms.
Experience managing multiple agencies (Google, TV, CTV, affiliate, MMM).
Strong analytical mindset, with proficiency in incrementality testing, MMM, LTV modeling, and CAC efficiency.
Ability to navigate complex cross-functional teams, influencing stakeholders across creative, finance, and analytics.
Entrepreneurial mindset with a strong sense of ownership, continuously seeking innovative ways to drive growth and efficiency.

💡 Responsibilities

Develop and execute a customer acquisition strategy that aligns with overall business goals and revenue targets.
Own the day-to-day management of paid media channels across Meta, TikTok, Google, affiliate marketing, display and CTV/audio.
Manage media pacing and tactical allocation, ensuring budget efficiency and goal attainment.
Identify, test, and scale new customer acquisition channels to drive sustainable growth.
Partner with internal stakeholders to align media strategy with brand positioning and promotional calendar.
Monitor, analyze, and optimize key KPIs (LTV, CAC payback, CPC, Conversion, CPM) to improve efficiency and scale.
Work closely with the data science & analytics team to ensure data accuracy and reporting integrity across platforms.
Conduct deep quantitative analysis to inform media mix modeling, creative strategy, and audience segmentation.
Ensure robust tracking and attribution models are in place, leveraging first-party data and incrementality testing.
Own budgeting and pacing for a $60M+ annual media spend, ensuring efficient allocation across channels.
Partner with the Director of Strategic Finance to forecast and scenario-plan media investments.
Deliver weekly, monthly, and quarterly performance reports to senior leadership, providing actionable insights and recommendations.
Lead and manage multiple external agencies across Google, CTV, and affiliates to ensure maximum performance.
Collaborate with Meta & TikTok account reps to stay ahead of platform updates, beta programs, and best practices.
Maintain strong relationships with ad tech partners and attribution vendors to optimize tracking and insights.
Lead and mentor a high-performing growth marketing team, providing strategic direction and professional development.
Partner with Creative, Brand, Product, and Influencer Marketing teams to optimize messaging, landing pages, and media assets.
Identify process efficiencies to streamline cross-functional collaboration, ensuring alignment on growth initiatives.

Leadership SQL Data Analysis Google Analytics Cross-functional Team Leadership Amplitude Analytics Tableau SEO RESTful APIs Reporting JSON Budgeting Market Research Data visualization Marketing Team management Stakeholder management Strategic thinking Digital Marketing Financial analysis Data modeling Budget management A/B testing

Posted 1 day ago

Apply

🔥 Senior Data Engineer/Scientist

Posted 3 days ago

📍 United States, Canada

🧭 Full-Time

💸 105825.0 - 136950.0 CAD per year

🔍 Data Engineering

🏢 Company: Samsara👥 1001-5000💰 Secondary Market over 4 years ago🫂 Last layoff almost 5 years agoCloud Data Services Business Intelligence Internet of Things SaaS Software

🔧 Requirements

BS degree in Computer Science, Statistics, Engineering, or a related quantitative discipline
6+ years experience in a data engineering and data science-focused role
Proficiency in data manipulation and processing in SQL and Python
Expertise building data pipelines with new API endpoints from their documentation
Proficiency in building ETL pipelines to handle large volumes of data
Demonstrated experience in designing data models at scale

💡 Responsibilities

Build and maintain highly reliable computed tables, incorporating data from various sources, including unstructured and highly sensitive data
Access, manipulate, and integrate external datasets with internal data
Building analytical and statistical models to identify patterns, anomalies, and root causes
Leverage SQL and Python to shape and aggregate data
Incorporate generative AI tools (ChatGPT Enterprise) into production data pipelines and automated workflows
Collaborate closely with data scientists, data analysts, and Tableau developers to ship top quality analytic products
Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices

Python SQL ETL Tableau API testing Data engineering Data science Spark Communication Skills Analytical Skills Data visualization Data modeling

Posted 3 days ago

Apply

🔥 Sr. CRM Analyst - Remote

Posted 3 days ago

📍 United States

🧭 Full-Time

💸 90000.0 - 110000.0 USD per year

🏢 Company: Mint Mobile

🔧 Requirements

At least 3-5 years of relevant experience in CRM or similar analytical role is required.
Technical skills in data querying, exploration, and analysis through different platforms and technologies (e.g. SQL, Excel, Tableau, R, Python).
Strong analytical background, excellent problem-solving skills, and experience with CRM & CDP platforms.
Experience with MarTech effort to ensure CRM projects are prioritized and delivered. Familiar with campaign management tools (Braze is ideal, but not required)
Familiar with CRM consumer journey and customer retention

💡 Responsibilities

Create overall thinking and approach to customer segmentation/personalization through dynamic testing of the optimal marketing channel, timing, content and offers.
Build customers level business goals to drive renewal rate and revenue growth.
Interface with industry to bring new technology, best practices, opportunities & approaches
Set up an automated, daily process for activating personalized recommendations. (provided by 3rd Party Decision Engine, Next-Best-Everything tools, etc.)
Validates AI Decision Engine tool performance reporting against customers single source of truth
Provide ongoing monitoring and technical troubleshooting support to help fix pipeline errors and valid results.
Analyze the performance of marketing strategies and other data sets to drive optimizations.
Deliver innovative and data-driven marketing insights to help inform integrated approaches.
Inform and help develop predictive models, machine learning and AI techniques to improve key processes across our business.
Regularly deliver analytics, and provide meaningful insights and actionable recommendations.
Maintain and improve upon full-funnel customer journey analytics (360 Degrees of customer interaction & measured outcomes including target, reach, penetration, experience, conversion, and optimization).
Presentation skills to clearly communicate arguments, insights, and recommendations to marketing leaders.
Exemplify experience working with both technical and business teams (Data Science, Business Intelligence, and Engineering) in order to build the key deliverables and to provide an integrated point of view.

Python SQL Data Analysis Machine Learning Tableau Communication Skills Analytical Skills Problem-solving skills Reporting Data visualization Marketing CRM A/B testing

Posted 3 days ago

Apply

🔥 Analyst II, Payment Analytics

Posted 3 days ago

📍 United States

💸 109000.0 - 159000.0 USD per year

🔍 Finance

🔧 Requirements

3+ years of experience in an analytically-driven role (analytics, consulting, finance, etc.); Preferably previous experience as a product analyst supporting payment, repayment, and risk management
Strong working knowledge of SQL and/or experience with Python or R
Practical and theoretical knowledge of A/B testing
Strong interpersonal skills and ability to work cross-functionally and influence both technical and non-technical audiences
Ability to think creatively and critically and thrive in a fast-paced, dynamic, and often ambiguous work environment
Bachelor's or Master's degree in a quantitatively rigorous subject area like statistics, math, finance, economics desired

💡 Responsibilities

Own end-to-end analytics workflow, including defining success, generating insights and hypotheses, performance metrics, socializing them across the organization, creating impactful dashboards and reports, and developing scalable analytics solutions and data models
Lead cross-functional weekly metric reviews, working with partners to perform deep-dives into key metric movements and inform action
Proactively explore data and find opportunities to improve the user engagement, growth and profitability. Utilize both industry and internal trends to produce insights that influence strategy for payment that directly impact the company bottom-line
Address ambiguous problems and formulate hypotheses into actionable and well-designed experiments
Partner cross-functionally build a rapport and be a trusted advisor to team members

Python SQL Data Analysis Tableau Communication Skills Analytical Skills Microsoft Excel Data visualization Financial analysis Data modeling Data analytics A/B testing

Posted 3 days ago

Apply

🔥 Sales Analytics Manager

Posted 3 days ago

📍 USA

💸 119900.0 - 141000.0 USD per year

🏢 Company: Abnormal Security👥 501-1000💰 $250,000,000 Series D 7 months agoArtificial Intelligence (AI)Email Information Technology Cyber Security Network Security

🔧 Requirements

Proficiency in Sigma Computing or similar BI solutions to develop and manage reporting frameworks.
Advanced experience with Salesforce, including creating reports, dashboards, and data visualization.
Strong understanding of SaaS revenue models, including ARR, churn, expansion, and pipeline velocity.
Experience leading reporting initiatives with a structured change management process to ensure adoption and consistency.
Knowledge of sales enablement tools like Clari, Outreach, Gong, or similar platforms.
Experience leveraging advanced predictive analytics techniques to improve revenue forecasting, pipeline health assessment, and risk mitigation.
Ability to query and manipulate large datasets for deeper analysis.
Expertise in presenting data-driven insights through compelling visualizations.

💡 Responsibilities

Create and maintain reports that benchmark sales performance against competitors, identifying strengths and areas for improvement.
Assess and analyze pipeline generation efforts, providing insights into lead conversion rates, pipeline health, and sales cycle trends.
Build and refine a suite of standardized reports and dashboards to ensure visibility into key sales metrics.
Transition existing performance and forecast reports from spreadsheets into automated, scalable reporting solutions.
Work with sales leadership to enhance forecasting models, incorporating historical data and predictive analytics.
Conduct deep-dive analyses to identify trends, risks, and opportunities that inform sales strategies and business decisions.
Define the strategic approach for report tooling and implement scalable BI solutions to support sales analytics.

SQL Business Intelligence Data Analysis ETL Microsoft Power BI Salesforce Tableau Microsoft Excel RESTful APIs Reporting Data visualization Data modeling SaaS

Posted 3 days ago

Apply

🔥 Specialist, Organizational Performance

Posted 3 days ago

📍 United States of America

💸 61000.0 - 68000.0 USD per year

🔍 Non-profit

🏢 Company: acscareers

🔧 Requirements

Bachelor's degree in finance, economics, business administration or similar field, with 2-3 years of analytical and/or performance data experience
Project Management Certification or equivalent experience highly desirable
Experience in healthcare or non-profit a plus
Experience with data tools such as Excel, data visualization tools such as PowerBI and Tableau, and presentation tools such as PowerPoint

💡 Responsibilities

Maintain and update enterprise performance scorecard, interacting with key stakeholders to develop key performance indicators (KPIs) and data definitions.
Work cross-functionally to cascade KPIs to functions, advising on how to build scorecards connected to the enterprise scorecard.
Manage and facilitate monthly / quarterly / annual monitoring and reporting cadences and performance products, such as dashboards and reports to various audiences including the Executive Team and Board of Directors.
Develop, implement, and continuously improve an enterprise performance review cycle of meaningful reports, meetings, and decision-making moments (e.g quarterly business reviews).
Partner cross-functionally to synthesize organizational performance data for external contexts, such as marketing and communications efforts or non-profit reporting. Manage relationships with non-profit rating/research organizations where ACS data is reported.
Lead or participate in cross-functional communities of practice or working groups related to data and performance.
Conduct external assessments, research competitors, trends, innovations and communicate the significance of strategic insights to strategy leaders and other key stakeholders as needed.
Execute all work leveraging technical project management methods and tools across all areas of responsibility and in support of the wider Enterprise Strategy function.
Actively participate in department and cross-functional strategy meetings; be a team-player, contributing to help team solve problems as needed
Maintain current knowledge of organizational performance methods, technology, and tools across industries, bringing recommendations for improvement aligned to our internal needs and business opportunities.
Any other duties as assigned, working as part of a flexible internal consulting function working across the enterprise.

Project Management SQL Data Analysis Cross-functional Team Leadership Tableau Strategy Communication Skills Analytical Skills Reporting Data visualization Stakeholder management Strategic thinking Data modeling Data management PowerPoint

Posted 3 days ago

Apply

🔥 Digital Marketing Product Manager – Loyalty & Credit Cards

Posted 3 days ago

📍 U.S.

🧭 Contract

💸 60.0 - 65.0 USD per hour

🔍 Marketing

🔧 Requirements

4+ years of experience in product management, business ownership, marketing, or brand strategy.
Bachelor’s degree in marketing or a related area (or an additional two years of relevant experience/training in lieu of a degree).
Proven success in developing and executing high-impact digital marketing programs.
Experience with ROI analysis using Excel and PowerPoint.
Strong interpersonal, facilitation, and presentation skills.
Ability to balance big-picture strategy with detail-oriented execution for flawless campaign delivery.
Capable of managing multiple projects across various stakeholders and teams.
Ability to adapt quickly to changing requirements in a competitive environment.
Innovative problem solver willing to try new approaches to differentiate our product from competitors.
Strong influencing skills to interact with executives, internal teams, external partners, and agencies.
2+ years of experience in credit card programs (preferred over loyalty program experience).
2+ years of experience in digital marketing channels.
Proficiency in GA4 and Tableau is a plus.
Cross-functional team leadership experience is essential.

💡 Responsibilities

Support digital acquisition efforts for a loyalty program launch, integrating multiple loyalty programs.
Act as the primary business intent owner for digital touchpoint updates associated with the loyalty program integration.
Provide clear and detailed briefs to both e-commerce and marketing teams regarding required digital touchpoint updates and implementation strategies.
Oversee and manage digital acquisition touchpoints for the new loyalty brand and premium credit card.
Collaborate cross-functionally and with banking partners to ensure a seamless and successful launch of the new brand and updated touchpoints.
Define clear success metrics to guide cross-functional teams on deliverables and expectations.
Ensure robust tracking mechanisms are in place across all touchpoints for continuous performance monitoring and optimization.

Project Management Data Analysis Product Management Cross-functional Team Leadership Tableau Product Development Strategy Product Analytics API testing Marketing Stakeholder management Digital Marketing Financial analysis Budget management PowerPoint A/B testing

Posted 3 days ago

Apply

Shown 10 out of 174

Tableau Job Salaries

Median high-range salary for jobs requiring Tableau:

Skills and Salary

Python

Communication Skills

SQL

Data modeling

Analytical Skills

Business Intelligence

Data visualization

Data Analysis

Salesforce

Industries and Salary

Data Analytics

Software Development

AI and machine learning

B2B SaaS

Health tech

Finance

Healthcare

AI lending marketplace

Mental Health

Fintech

Jobs