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:

$150,000

This analysis is based on salary ranges collected from 139 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 $110,100 - $150,000

25% of job descriptions advertised a maximum salary above $188,000.
5% of job descriptions advertised a maximum salary above $285,810.

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 Communication Skills, Python 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.

Communication Skills
35% jobs mention Communication Skills as a required skill. The Median Salary Range for these jobs is $111,500 - $159,000
- 25% of job descriptions advertised a maximum salary above $192,500.
- 5% of job descriptions advertised a maximum salary above $302,500.
Python
27% jobs mention Python as a required skill. The Median Salary Range for these jobs is $124,000 - $159,000
- 25% of job descriptions advertised a maximum salary above $200,325.
- 5% of job descriptions advertised a maximum salary above $300,000.
SQL
65% jobs mention SQL as a required skill. The Median Salary Range for these jobs is $110,800 - $156,000
- 25% of job descriptions advertised a maximum salary above $185,000.
- 5% of job descriptions advertised a maximum salary above $254,000.
Data modeling
28% jobs mention Data modeling as a required skill. The Median Salary Range for these jobs is $112,000 - $156,000
- 25% of job descriptions advertised a maximum salary above $210,000.
- 5% of job descriptions advertised a maximum salary above $290,100.
Data visualization
52% jobs mention Data visualization as a required skill. The Median Salary Range for these jobs is $110,050 - $150,000
- 25% of job descriptions advertised a maximum salary above $189,500.
- 5% of job descriptions advertised a maximum salary above $253,100.
Salesforce
23% jobs mention Salesforce as a required skill. The Median Salary Range for these jobs is $112,250 - $149,500
- 25% of job descriptions advertised a maximum salary above $194,400.
- 5% of job descriptions advertised a maximum salary above $299,220.
Analytical Skills
33% jobs mention Analytical Skills as a required skill. The Median Salary Range for these jobs is $110,050 - $147,796
- 25% of job descriptions advertised a maximum salary above $175,000.
- 5% of job descriptions advertised a maximum salary above $292,400.
Data Analysis
74% jobs mention Data Analysis as a required skill. The Median Salary Range for these jobs is $110,000 - $144,000
- 25% of job descriptions advertised a maximum salary above $180,000.
- 5% of job descriptions advertised a maximum salary above $262,400.
Data analytics
23% jobs mention Data analytics as a required skill. The Median Salary Range for these jobs is $109,500 - $125,500
- 25% of job descriptions advertised a maximum salary above $188,550.
- 5% of job descriptions advertised a maximum salary above $300,000.

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 B2B Marketing, 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.

B2B Marketing
1% jobs are in B2B Marketing industry. The Median Salary Range for these jobs is $135,100 - $188,375
- 25% of job descriptions advertised a maximum salary above $210,000.
Software Development
6% jobs are in Software Development industry. The Median Salary Range for these jobs is $150,500 - $185,000
- 25% of job descriptions advertised a maximum salary above $202,500.
- 5% of job descriptions advertised a maximum salary above $210,000.
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.
Data Analytics
1% jobs are in Data Analytics industry. The Median Salary Range for these jobs is $133,500 - $177,000
- 25% of job descriptions advertised a maximum salary above $254,000.
Finance & Accounting
1% jobs are in Finance & Accounting industry. The Median Salary Range for these jobs is $133,322.5 - $156,850
- 25% of job descriptions advertised a maximum salary above $159,200.
Marketing
2% jobs are in Marketing industry. The Median Salary Range for these jobs is $100,000 - $156,000
Fintech
2% 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 $164,448.
- 5% of job descriptions advertised a maximum salary above $169,400.
Healthcare
4% jobs are in Healthcare industry. The Median Salary Range for these jobs is $95,000 - $127,500
- 25% of job descriptions advertised a maximum salary above $193,232.
- 5% of job descriptions advertised a maximum salary above $220,000.
Finance
4% jobs are in Finance industry. The Median Salary Range for these jobs is $83,000 - $120,000
- 25% of job descriptions advertised a maximum salary above $166,500.
- 5% of job descriptions advertised a maximum salary above $189,000.

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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🔥 Data Analyst

Posted about 4 hours ago

📍 United States, Canada

💸 141000.0 - 178000.0 USD per year

🔍 Software Development

🏢 Company: OpenPhone👥 51-100💰 $40,000,000 Series B almost 3 years agoProductivity Tools Messaging B2B Collaboration Software

🔧 Requirements

4+ years of experience in data analysis, preferably in a SaaS environment.
Strong analytical and problem-solving skills with a quantitative mindset.
Familiarity with analytics engineering and dbt (a plus).
Excellent communication skills with the ability to explain technical concepts to non-technical audiences.
Ability to thrive in a high-paced, high-growth environment.
Experience managing data projects and collaborating with cross-functional teams.

💡 Responsibilities

Develop and maintain dashboards and reports using BI tools (e.g., Mode, Tableau) to support GTM teams.
Analyze marketing, advertising, and sales data, including conversion funnel and cohort retention analyses, slicing data by attribution models, and providing customer lifecycle insights.
Collaborate with stakeholders across sales, marketing, and customer success to define key metrics and reporting needs.
Write efficient SQL queries to extract, transform, and analyze data from various sources.
Assist in data modeling and transformation using dbt (a plus but not required).
Comfortable with working large and complex data coming from multiple sources such as Kafka events or web traffic data from ad platforms.
Communicate findings effectively to both technical and non-technical stakeholders.
Ensure data accuracy, integrity, and security in all reporting and analysis efforts.

SQL Data Analysis ETL Tableau Communication Skills Analytical Skills Data visualization Marketing Stakeholder management Data modeling Data analytics Data management SaaS

Posted about 4 hours ago

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🔥 Consumer Insights Manager

Posted about 9 hours ago

📍 United States

🧭 Full-Time

💸 75000.0 - 105000.0 USD per year

🔍 Consumer Insights

🏢 Company: Resident👥 1-10 Publishing Lifestyle Art Fashion Events Travel

🔧 Requirements

5+ years of experience in consumer insights, market research, or user experience research, including global initiatives, at a research firm or within a client-side consumer research function.
Strong understanding of market research principles with experience in both qualitative and quantitative methods.
Demonstrated expertise in consumer products or services, such as footwear, apparel, fashion, lifestyle, or DTC/wholesale distribution.
Proficiency with UX research, analytics, and data visualization tools (e.g., UserTesting, Hotjar, Looker).

💡 Responsibilities

Conduct qualitative and quantitative research to deeply understand customer behaviors, needs, and pain points across the digital experience and product lifecycle.
Design and execute user experience (UX) research studies, including usability testing, user interviews, and surveys, to inform website navigation, product discovery, and purchase decision-making.
Collaborate with cross-functional teams to integrate customer insights into the development of digital experiences, product enhancements, and marketing strategies.
Translate complex research findings into clear, actionable recommendations that drive customer-centric decisions.
Advocate for the voice of the customer by presenting findings and data-driven recommendations to stakeholders at all levels.
Stay informed on the latest UX research methodologies and tools, applying innovative approaches to uncover new insights.
Build and maintain a repository of research findings to support ongoing strategic initiatives and cross-functional alignment.
Partner with the design and development teams to test and refine digital prototypes, ensuring optimal user experiences.
Measure and evaluate the success of digital and product experiences through ongoing research and feedback loops.

Data Analysis User Experience Design Google Analytics Tableau Research Market Research Data visualization A/B testing

Posted about 9 hours ago

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🔥 Senior FP&A Analyst

Posted about 20 hours ago

📍 United States

🧭 Full-Time

💸 83000.0 - 120000.0 USD per year

🔍 Finance

🏢 Company: Kiavi👥 251-500💰 $400,000,000 Debt Financing 5 months agoLending Financial Services Real Estate FinTech

🔧 Requirements

Bachelor’s Degree required.
Relevant work experience in Accounting, Finance, or Capital Markets required; Corporate or Business Unit FP&A experience a plus.
Minimum of 3 years of relevant experience at a management consulting firm, accounting firm, investment bank, private equity firm, investment and/or technology company.
Financial modeling: Advanced proficiency in MS Excel required (e.g. Ability to build financial and operational models from scratch utilizing Excel); Adaptive, Workday ERP, Salesforce, SQL (Snowflake), Spiff, and Tableau a plus.
A strong work ethic, meticulous attention to detail, and a proactive mindset are essential for this role.
Adaptability and drive: Kiavi is a fast-paced, constantly changing environment.
Strategy and execution: Capacity to problem solve in a structured way and provide actionable insights to drive growth.
Analytical and business rigor: Ability to translate business questions such as “How do we increase our margin?” or “In what ways can we use our balance sheet more efficiently?” meaningful analysis.
High-energy & Positive Attitude: A sense of ownership and positive attitude are the keys to success.
Effective communication: Strong communication skills that enable you to work productively across disparate functional groups and communicate key findings and solutions persuasively. This also includes clear communication of expectations and managing timing for deliverables.
Multi-tasking prioritization expertise: Experience (and preferably enjoyment of) balancing numerous different priorities and demands.

💡 Responsibilities

Support FP&A management in partnering with business unit stakeholders to drive the annual planning and quarterly forecast process including preparation of operating budgets based on actual results, prior budgets, operational initiatives, and other factors.
Perform scenario analyses to provide department leadership with insights on the financial implications of changes in assumptions, strategic shifts, or operational adjustments.
Continuously maintain and update financial models, ensuring assumptions align with evolving business activities and delivering accurate financial projections.
Oversee the calculation and distribution of Kiavi’s commission plans. Proactively communicate with reporting managers to resolve discrepancies, offer insights into commission plan improvements, and oversee the implementation of plan changes.
Develop and deliver clear, concise financial reports and analyses, reviewing results with key business partners on a consistent basis (monthly, quarterly) to assess performance and ensure alignment with financial objectives.
Perform in-depth budget vs. actual analyses at both the business unit and consolidated levels, identifying key performance drivers, and proactively adjusting forecasts as necessary.
Collaborate with business units to assess production expectations and future headcount needs, ensuring accurate forecasting of full-time employee and contractor requirements. Analyze, reconcile, and report on current and future workforce status across departments.
Prepare compliance reporting (debt covenants, industry reporting, etc.).
Collect and organize relevant data from various sources to perform in-depth analysis, demonstrating extreme attention to detail by meticulously validating, cleaning, and cross-referencing information to ensure accuracy. Present findings and develop reporting tools in clear, visually compelling formats (e.g., charts, graphs, reports) to facilitate data-driven decision-making for stakeholders.
Work closely with Marketing, Sales, Business Development, Mortgage Operations, Data, and Capital Markets to gather insight and knowledge of departmental initiatives and incorporate them into financial forecasts, ensuring alignment with overall business goals.
Create and deliver presentations on planning, performance tracking, and financial forecasts for senior leadership and key stakeholders.
Manage ad hoc financial inquiries, data requests, and special projects, providing analytical support across the organization.

SQL Data Analysis Tableau Communication Skills Analytical Skills Budgeting Financial analysis Budget management

Posted about 20 hours ago

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🔥 Product Analyst

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 110100.0 - 165600.0 USD per year

🔍 Real Estate, Mortgage

🏢 Company: Kiavi👥 251-500💰 $400,000,000 Debt Financing 5 months agoLending Financial Services Real Estate FinTech

🔧 Requirements

Strong analytical and problem-solving skills, good communication and collaboration abilities, basic understanding of product management concepts
Self-starter with outstanding critical thinking, analytical, and verbal and written communication skills with an ability to facilitate divergent POVs toward convergence
Strong customer and business orientation in which outcomes of improved customer experiences benefit operational efficiency of internal teams
Strong interpersonal and relationship-building skills, with the ability to establish credibility with stakeholders across levels and lead through influence
Organized, independent, detail-oriented, and adaptable multi-tasker comfortable working in a fast-paced environment with competing projects and priorities
Ability to interpret data and tell a compelling story by connecting customer problems, industry dynamics, and business needs via written form, visuals, etc
Experience implementing success metrics for various business verticals
Typically requires 1-2 years of relevant product, customer experience subject matter experience and a bachelor's degree in a related field
Real Estate and Mortgage experience
Tableau, spreadsheets, and understanding of data analysis and structured database concepts
Experience working in a remote environment

💡 Responsibilities

Participates in all stages of the product development cycle and XFN-projects
Synthesize and prioritize user needs and own the narrative of what problem should be solved, for whom, how, and why it matters
Write user stories and acceptance criteria, translating business & customers requirements to technical requirements and vice versa
Work collaboratively with engineering, design, and other key stakeholders
Organize and facilitate User Acceptance Testing with internal stakeholders
Define success metrics and analyze performance, balancing quantitative and qualitative insights to drive decisions and iterate quickly
Deep dive into internal systems to understand limitations, problems, propose solutions, gain alignment, manage dependencies, and successfully rollout solutions
Conduct pre and post-launch research and monitoring and implementation of feedback
Unblock engineering team on questions during the development process.
For the more complex or strategic work items, work closely with more senior PMs
Cross-functional communications and expectation management of internal leaders
Assist other PMs and Product Designers with customer research scheduling, interviews, user database management, in-app notifications/surveys, etc

SQL Business Analysis Data Analysis Data Mining Product Management SCRUM User Experience Design Jira Tableau Product Development Product Analytics API testing REST API Communication Skills Analytical Skills Collaboration Microsoft Excel Problem Solving Customer service Microsoft Office Agile methodologies JSON Data visualization

Posted 1 day ago

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🔥 Senior Marketing Analyst - Advanced Analytics

Posted 1 day ago

📍 United States, Canada

💸 130000.0 - 156000.0 USD per year

🔍 Marketing

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

🔧 Requirements

Extensive relevant experience within a fast-paced business environment, with specialized experience in marketing data and customer segments.
Ability to apply advanced statistical analysis, regression models, and predictive analytics to marketing data.
Strong ability to use visualization tools to translate complex data into clear, actionable insights.
Experience analyzing and understanding how customers engage with marketing campaigns, using this insight to optimize marketing efforts.
Ability to create and analyze customer segments to develop personalized marketing strategies that drive engagement and conversion.
Deep knowledge of how to track, evaluate, and optimize the effectiveness of marketing campaigns based on performance data.
Expertise in attribution modeling, including multi-touch attribution, and the ability to apply insights to improve the effectiveness of marketing channels.
Expertise in writing complex SQL queries to extract and manipulate marketing data from relational databases.

💡 Responsibilities

Lead Marketing Analytics Initiatives: Manage key cross-functional analytics projects related to campaign performance, customer engagement, and marketing ROI.
Campaign Performance and KPI Analysis: Analyze key marketing KPIs, such as conversion rates, customer lifetime value, cost per acquisition, and return on marketing investment (ROMI).
Collaborate on Marketing Attribution: Work with the marketing team to develop and refine multi-touch attribution models, ensuring the team accurately measures the impact of different marketing channels (e.g., email, social media, paid search) on customer journeys and sales.
Customer Segmentation and Personalization: Analyze customer data to create detailed segments based on demographics, behavior, and purchase history.
A/B Testing and Experimentation: Lead A/B tests and experiments to evaluate the effectiveness of new marketing tactics, product features, or customer engagement strategies.
Forecasting and Trend Analysis: Utilize statistical models and machine learning algorithms to forecast trends in customer behavior and campaign performance, allowing for proactive adjustments to marketing strategies that maximize ROI.
Mentor Data Analysts within the team through hands-on coaching and training to elevate their skills and impact.

SQL Data Analysis Machine Learning Tableau Communication Skills Analytical Skills Collaboration Mentoring Data visualization Marketing Data modeling Data analytics Data management A/B testing

Posted 1 day ago

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🔥 Pricing & Promo Analytics Manager

Posted 1 day ago

📍 United States, Canada

💸 111500.0 - 164500.0 USD per year

🔍 Consumer electronics or retail

🏢 Company: Life360👥 251-500💰 $33,038,258 Post-IPO Equity over 2 years ago🫂 Last layoff about 2 years agoAndroid Family Apps Mobile Apps Mobile

🔧 Requirements

Bachelor's degree in economics, business administration, or equivalent; MBA is a plus
6+ years experience in consumer electronics or retail focused on promotional strategy, sales analytics, or pricing or related experience
Ability to step up during ambiguous times and ready to take on new challenges while driving continuous improvement across Sales Analytics, Pricing, and Promotions
Excellent analytical skills, being able to craft a story from the data
Strong communication skills and experience partnering across different functions and various levels in a company
Advanced Excel skills are required. Experience with Netsuite, SQL, Databricks and data visualization tools (eg Tableau, PowerBI), is a plus.
Self-starter, comfortable with working under pressure, and meeting deadlines with the ability to prioritize with limited guidance
Team player and the ability to work collaboratively across different functions, effectively influence senior business partners, and provide thoughtful push back when necessary
Strong analytical, problem solving and critical thinking paired with intellectual curiosity and aptitude in picking up new technical skills

💡 Responsibilities

Partner with Sales, Marketing, Finance, and Sales Operations teams to align promotional plans with business objectives.
Develop and evaluate promotional strategies to maximize sales and profitability.
Manage promotional budget. Benchmark promotional strategies to assess promotional effectiveness, provide insights and recommendations for future improvements, and present findings and insights to leadership and stakeholders at varying levels.
Manage world-wide pricing. Analyze market trends, competitor pricing, and retailer / distributor margins to establish optimal pricing structures.
Conduct margin analysis to ensure profitability across different product categories and sales channels.
Analyze sales data to identify revenue performance trends, opportunities, and risks.
Develop dashboards and reports to provide actionable insights for leadership and sales teams.

SQL Data Analysis Microsoft Power BI Salesforce Tableau Communication Skills Analytical Skills RESTful APIs Market Research Data visualization Financial analysis Data modeling Budget management

Posted 1 day ago

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🔥 Senior Workforce Analyst

Posted 1 day ago

📍 AZ, CA, CO, DC, DE, FL, GA, HI, IA, IL, ME, MD, MA, MI, MO, NE, NV, NJ, NM, NY, NC, OR, PA, RI, SC, TN, TX, VT, VA, WA, WI

💸 70000.0 - 85000.0 USD per year

🔍 Healthcare

🏢 Company: Hazel Health

🔧 Requirements

4+ years of experience in a similar role at a fast-paced start-up or high-growth organization
Prior sales/customer experience; education sales or tech-ed experience a plus

💡 Responsibilities

Collect and analyze workforce data from disparate systems to identify trends, forecast staffing needs, planning and optimize resource allocation
Develop and maintain forecasting models to predict future staffing needs based on business cycles and anticipated growth
Conduct “what-if” scenarios to assess the impact of potential changes in workload and identified operational process improvements
Create dashboard that tracks key team performance metrics, such as: staffing levels, turnover rate and absenteeism
Create staffing models that balance service levels, operational costs, and teammate productivity
Customize workflow to automate scheduling tasks, reduce manual errors and improve overall efficiency
Create contingency plans to address sudden staffing changes due to absences, high demand periods or unforeseen events
Provide recommendations on staffing adjustments, overtime, and other real-time strategies to maintain service levels
Develop and manage workforce schedules and capacity plans to ensure appropriate coverage for inbound calling, outbound calling, follow-ups, consent tasks, etc.
Monitor and optimize shift schedules to ensure adequate coverage across the day
Monitor real-time adherence and take proactive measures to address deviations from planned schedules
Ensure appropriate utilization of teammates during periods of low activity
Develop recommendations for resource reallocation, overtime management or hiring initiatives
Conduct regular monitoring and evaluation of performance metrics
Establish clear and actionable KPIs, such as: productivity per teammate, cost per hire, teammate utilization, cost per referral, cost per visit, ASA, AHT, etc.
Conduct deep-dive analyses to determine root cause of performance issues
Analyze call volume patterns, handle times, and other key performance indicators to optimize staffing levels
Provide weekly, monthly and quarterly reports tailored for different audiences (i.e: frontline teammates, supervisors, team leadership, executive leadership) with concise executive summaries that highlight key insights, risks and opportunities
Manage scheduling and capacity volume
Design and manage teammate scheduled to align with demand forecasts, ensuring optimal coverage and workload distribution
Identify opportunities for shift optimization and flexible staffing models to accommodate fluctuations in volume
Collaborate with functional leaders and Finance on hiring plans to meet business needs
Oversee workforce data analysis and process improvement strategies
Analyze workforce trends and provide actionable insights to Operations leaders on opportunities for efficiency improvements
Develop and maintain workforce dashboards, reports, and presentations to support operational decision-making
Leverage reporting from call systems and other business intelligence tools to drive data-driven workforce strategies
Utilize data visualization techniques to transform complex datasets into clear, compelling narratives that drive actionable insights
Provide training and support to Operations leaders on tools, methodologies, and processes
Prepare regular reports and presentations for Operations leaders to inform strategic and tactic decision-making

Project Management SQL Business Intelligence Data Analysis HR Management Operations Management Tableau Communication Skills Analytical Skills Microsoft Excel Reporting Data entry Data visualization Process improvement Data modeling PowerPoint

Posted 1 day ago

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🔥 Senior Customer Operations Analyst

Posted 1 day ago

📍 AZ, CA, CO, DC, DE, FL, GA, HI, IA, IL, ME, MD, MA, MI, MO, NE, NV, NJ, NM, NY, NC, OR, PA, RI, SC, TN, TX, VT, VA, WA and WI

🧭 Full-Time

💸 90000.0 - 105000.0 USD per year

🔍 Healthcare

🏢 Company: Hazel Health

🔧 Requirements

3-5 years of experience in a similar role at a fast-paced start-up or high-growth organization
Prior data and analytics experience
Education or tech-ed experience a plus

💡 Responsibilities

Regularly assess effectiveness of operational processes to drive initiatives
Maintain an end-to-end process map of the department’s current state, inclusive of current systems and cross-team dependencies and workflows
Identify bottlenecks, redundancies and areas where automation or re-engineering can drive efficiencies
Prepare a gap analysis to identify gaps within the workflows, processes and system functionality
Partner with the Data & Analytics team to establish mechanisms to bring operational data into BI (Business Intelligence) tools
Analyze process performance data to identify areas with the highest potential for improvement
Develop detailed business cases for proposed initiatives, including cost-benefit analyses and risk assessments
Prioritize initiatives based on impact, feasibility and alignment with overall transformation strategy
Refine and implement performance management frameworks that ensure individual and team accountability
Collaborate with Data & Analytics to refine existing dashboards that allow for more real-time tracking and predictive analytics, as opposed to viewing performance in the rears
Conduct trend analysis and identify root cause on process performance issues
Prepare regular summaries and insights, identifying areas of opportunity
Identify and support continuous process optimization by tracking performance and recommending iterative changes
Monitor the implementation of process changes and track their impact over time
Establish a feedback loop with Operations leaders to capture lessons learned and drive ongoing improvements
Assist in the development of change management communications and training materials related to process improvements
Act as a liaison between Operations leaders and Data & Analytics teams to ensure data-driven recommendations are understood and actionable
Maintain a lens of operational excellence to ensure quality and the customer experience is not compromised

SQL Business Intelligence Data Analysis Operations Management Tableau Business Operations REST API Communication Skills Analytical Skills CI/CD Problem Solving Customer service Reporting Training JSON Data visualization Stakeholder management Process improvement Technical support Financial analysis Data modeling Data analytics Data management Change Management Customer Success Budget management

Posted 1 day ago

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🔥 Principal Data Scientist, Customer Outcomes

Posted 1 day ago

📍 United States

🧭 Full-Time

💸 165000.0 - 210000.0 USD per year

🔍 Software Development

🏢 Company: Smartsheet👥 1001-5000💰 $3,200,000,000 Post-IPO Debt 6 months ago🫂 Last layoff about 2 years agoSaaS Enterprise Software

🔧 Requirements

Advanced degree in quantitative field and 10+ years of experience (or 12+ years of experience without the degree)
Exceptional analytical skills for problem solving; descriptive analysis, diagnostic analysis, predictive analysis and prescriptive analysis
Expert in SQL and in using data programming languages and visualization tools (ex. R/Python, Tableau)
Extensive knowledge and practical experience in several of the following areas: Applied AI, machine learning, statistics, propensity modeling, churn prediction, recommender systems, and unstructured text (NLP) analytics
B2B experience, strong business acumen, and understanding of customer problems and solutions
Experience operationalizing data to meaningfully impact Sales, Customer Support, and/or Customer Success strategy and execution
Strong track record of forming effective cross-functional partnerships
Expert in communicating results, insights and recommendations, leveraging strong narratives and compelling storytelling with data to senior leaders
Ability to research and learn new technologies, tools, and methodologies
Ability to thrive in a dynamic environment, find opportunities and execute in both independent and collaborative environments
Ability to coach and mentor junior data scientists
Experience advising and leading analytical solutions to increase and optimize business outcomes

💡 Responsibilities

Understand our customer needs, lead and design metrics to analyze how our customers are using product and influence Smartsheet’s go-to-market strategy
Partner with Customer Outcomes Journey and Customer Success teams, understand their goals, and execute on opportunities to draw relevant insights and drive tangible impact
Develop solution and engagement analytics to identify improvement opportunities and showcase value realization to customers.
Leverage Applied AI and machine learning techniques to identify growth opportunities, predict churn, understand the overall customer health and drive actionable recommendations
Complete the full analytics lifecycle from understanding the business objective and understanding the data to developing automated reporting and visualizations to Influence and execute company level strategic decisions
Effectively present work to partner with senior stakeholders and provide data-based recommendations to enable data-driven decisions
Advise and lead strategy for unique, undefined, work; coordinating activity of project participants
Research and incorporate machine learning models, NLP techniques, and AI-driven analytics to enhance customer intelligence and predictive insights
Lead team efforts to research and incorporate new tools and technologies
Mentor, support and develop other BI team members
Support other duties as needed

SQL Business Intelligence Data Analysis Machine Learning Tableau Communication Skills Analytical Skills Data visualization Stakeholder management Data modeling Data analytics

Posted 1 day ago

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🔥 Senior Finance Manager, AMER Portfolio Services

Posted 1 day ago

📍 United States

💸 120000.0 - 160000.0 USD per year

🔍 Real Estate

🔧 Requirements

A Bachelor’s degree in Accounting or Finance
A minimum of 7-9 years relevant work experience
Detailed oriented and strong organizational skills

💡 Responsibilities

Manage the creation of the annual plan and quarterly forecasts
Review, understand and ensure compliance and proper accounting for transaction deals
Key financial/accounting liaison for Business Unit Executives, Product Line owners and Corporate

Tableau Financial Management Communication Skills Analytical Skills Microsoft Excel Accounting Organizational skills Presentation skills Reporting Budgeting Financial analysis

Posted 1 day ago

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Shown 10 out of 163

Tableau Job Salaries

Median high-range salary for jobs requiring Tableau:

Skills and Salary

Communication Skills

Python

SQL

Data modeling

Data visualization

Salesforce

Analytical Skills

Data Analysis

Data analytics

Industries and Salary

B2B Marketing

Software Development

AI and machine learning

B2B SaaS

Data Analytics

Finance & Accounting

Marketing

Fintech

Healthcare

Finance

Jobs