Tableau Developer with Figma

📍 Job Overview

Job Title: Tableau Developer with Figma Company: Sansar Tec LLC Location: Boston, MA, US (Telecommute/Remote) Job Type: Contract - Full Time Category: Business Intelligence / Data Visualization Operations Date Posted: 2025-09-24T15:56:19 Experience Level: Mid-Level (2-5 years) Remote Status: Fully Remote

🚀 Role Summary

• This role is centered on translating user interface designs from Figma into interactive and insightful Tableau dashboards, requiring a blend of technical development and creative problem-solving.
• Key responsibilities include collaborating with business stakeholders and analysts to fulfill Business Intelligence (BI) reporting requirements, leveraging both Tableau and Power BI.
• The position necessitates the development and ongoing maintenance of robust data models and datasets to power dashboards and reports, ensuring data integrity and accessibility.
• Candidates will be expected to demonstrate strong analytical skills and a proactive approach to overcoming technical challenges inherent in translating design specifications into functional BI solutions.

📝 Enhancement Note: While the job title is "Tableau Developer with Figma," the description clearly indicates a need for strong BI development skills beyond just Tableau, specifically mentioning Power BI. The "Telecommute" and "remote_derived": true flags suggest this is a remote-first or fully remote position, despite the Boston, MA location which likely indicates a target region or headquarters. The experience level is estimated to be Mid-Level, aligning with the 3-5 years of experience mentioned.

📈 Primary Responsibilities

• Convert complex design specifications from Figma into fully functional and visually appealing Tableau dashboards, proactively identifying and resolving translation challenges.
• Collaborate closely with business analysts and end-users to gather requirements and deliver effective BI reporting solutions using Tableau and Power BI.
• Design, build, and maintain efficient data models and datasets that serve as the foundation for dashboards, reports, and other analytical outputs.
• Ensure the accuracy, consistency, and performance of BI dashboards by performing regular data validation and system optimization.
• Troubleshoot and debug issues related to data integrity, dashboard functionality, and user access within the BI environment.
• Develop and implement best practices for data visualization and dashboard design to enhance user experience and data comprehension.
• Support the broader BI ecosystem by contributing to the development and maintenance of data orchestration processes.

📝 Enhancement Note: The primary responsibilities are extrapolated from the core description, focusing on the direct actions and outcomes expected of a BI Developer integrating design tools with BI platforms. The emphasis on "problem solving and thinking outside the box" when converting Figma to Tableau highlights a critical aspect of the role's daily execution.

🎓 Skills & Qualifications

Education:

• A Bachelor's degree in Computer Science, Information Technology, Data Science, Statistics, or a related quantitative field is typically expected for roles involving data modeling and BI development. Equivalent practical experience may be considered.

Experience:

• 3–5+ years of progressive experience in a Data Engineering, BI Engineering, or Business Intelligence Development role.
• Proven track record of successfully translating design mockups or wireframes (specifically Figma) into interactive BI dashboards.

Required Skills:

• Tableau: Advanced proficiency in developing, deploying, and maintaining dashboards and visualizations within Tableau.
• Figma: Demonstrable experience in utilizing Figma for UI/UX design and understanding how to interpret and translate design elements into BI outputs.
• SQL: Strong command of SQL for data extraction, transformation, and manipulation, essential for data modeling and querying.
• Python: Proficiency in Python for scripting, data manipulation, or automation tasks within a BI context.
• Data Modeling: Experience in designing and implementing robust data models and datasets to support BI reporting needs.
• BI Reporting: Ability to collaborate with stakeholders to define, build, and maintain BI reports that drive business insights.
• Problem Solving: Exceptional ability to identify, analyze, and resolve technical challenges, particularly those related to design-to-BI conversion.
• Collaboration: Strong interpersonal and communication skills to effectively work with analysts, business users, and other stakeholders.

Preferred Skills:

• Power BI: Familiarity or experience with Power BI for BI reporting and dashboard development.
• Data Orchestration Tools: Knowledge of tools used for data pipeline management and scheduling (e.g., Airflow, SSIS, Talend).
• Data Warehousing Concepts: Understanding of data warehousing principles and best practices.
• ETL/ELT Processes: Experience with Extract, Transform, Load or Extract, Load, Transform processes for data integration.
• Version Control (e.g., Git): Familiarity with version control systems for managing code and BI artifacts.

📝 Enhancement Note: The "ai_experience_level" of "2-5" years is a strong indicator. The required skills are directly pulled from the description and AI-generated skills, with an emphasis placed on the core technologies and problem-solving aspects. Education and preferred skills are standard industry expectations for such a role.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase at least 2-3 Tableau dashboard projects that demonstrate the ability to translate complex data into easily understandable visualizations.
• Include examples that highlight efficient data modeling and dataset creation, illustrating how you've prepared data for analysis.
• Projects should reflect an understanding of UI/UX principles, even if not directly from Figma, showing an eye for clean design and user-centric interfaces.
• Prepare to discuss specific challenges encountered during dashboard development and how you architected solutions, especially if design conversion was involved.
• If possible, include a project where you've worked with both Tableau and Power BI, or can articulate the differences and use cases for each.

Process Documentation:

• Be prepared to discuss your methodology for approaching the conversion of design mockups (like Figma) into functional BI dashboards, including how you handle limitations or discrepancies.
• Detail your process for data validation and quality assurance to ensure the accuracy of reported metrics.
• Outline your approach to building and maintaining data models, including considerations for performance, scalability, and maintainability.
• Describe your workflow for collaborating with business users, from requirements gathering to dashboard deployment and iteration.

📝 Enhancement Note: Portfolio requirements are inferred based on the core responsibilities and the need to demonstrate practical application of skills. The emphasis is on showcasing tangible results and the thought process behind them, crucial for a role involving design-to-development translation.

💵 Compensation & Benefits

Salary Range:

• Based on the 3-5 years of experience, the contract rate for a Tableau Developer with Figma and BI skills in the Boston, MA area (even for remote roles targeting this region) typically ranges from $60 to $90 per hour, or an equivalent annual salary of approximately $125,000 to $187,000. This estimate considers the demand for specialized BI skills, the contract nature of the role, and the cost of living in a major metropolitan area like Boston.

Benefits:

• As this is a contract position, standard benefits like health insurance, paid time off, and retirement plans may not be directly provided by Sansar Tec LLC.
• However, the contractor is typically responsible for their own benefits package.
• Potential for contract extension or conversion to a permanent role, depending on project needs and performance.
• Opportunity to work remotely, offering flexibility and work-life balance.
• Exposure to diverse BI projects and technologies, fostering professional development.

Working Hours:

• Standard full-time contract hours are expected, likely around 40 hours per week.
• Flexibility in daily start and end times may be available, provided all project deadlines and collaboration needs are met.
• Adherence to US Eastern Time zone (America/New_York) business hours is probable for team synchronization.

📝 Enhancement Note: Salary is estimated based on industry data for contract BI developers in the specified region and experience level. Benefits are described as typical for contract roles, with the understanding that the contractor manages their own benefits. Working hours are assumed to be standard full-time.

🎯 Team & Company Context

🏢 Company Culture

Industry:

• Sansar Tec LLC operates within the IT Services and Staffing industry, providing technical talent and solutions to clients. This means the company's culture is often client-focused, emphasizing adaptability and responsiveness to project demands. The operations aspect of this role directly supports client BI initiatives.

Company Size:

• Information on Sansar Tec LLC's exact size is not provided, but as an LLC often involved in staffing, it's likely a small to medium-sized enterprise (SME). This can mean a more agile environment, direct interaction with leadership, and potentially broader exposure to different projects and responsibilities.

Founded:

• The founding date of Sansar Tec LLC is not specified.

Team Structure:

• The role likely sits within a client's BI or Analytics team, or a project team managed by Sansar Tec LLC.
• Reporting would typically be to a Project Manager, BI Lead, or a client-side stakeholder responsible for BI initiatives.
• Collaboration will be extensive with business analysts, data engineers, and end-users who consume the BI reports and dashboards.

Methodology:

• Sansar Tec LLC's methodology will likely be project-driven, focusing on delivering client requirements efficiently. This often involves agile or hybrid project management approaches.
• The operations approach within projects will be data-centric, emphasizing the use of BI tools and data models to provide actionable insights.
• Emphasis will be placed on problem-solving and adapting to client-specific environments and challenges.

Company Website:

• Sansar Tec LLC Website (Inferred from domain_derived)

📝 Enhancement Note: Company culture and team structure are inferred based on the company type (LLC, likely staffing/consulting) and the nature of the role (contract, client-facing). The operations focus is on how the BI developer integrates into project teams and client environments.

📈 Career & Growth Analysis

Operations Career Level:

• This role is positioned at the Mid-Level of a BI development career path. It requires independent contribution, problem-solving, and the ability to manage specific project tasks related to data visualization and BI reporting. It's a key step for professionals looking to specialize in data analytics and business intelligence solutions.

Reporting Structure:

• The Tableau Developer will likely report to a Project Manager or a Senior BI Lead within Sansar Tec LLC or directly to a designated stakeholder within the client organization.
• Peer collaboration will occur with other BI developers, data analysts, and business users.

Operations Impact:

• The operations impact is significant as the role directly influences how business users access and interpret data. Effective dashboards and reports are critical for data-driven decision-making, improving operational efficiency, and identifying revenue opportunities or cost-saving measures.

Growth Opportunities:

• Specialization: Deepen expertise in Tableau, Power BI, and potentially other BI platforms or data visualization techniques.
• Data Engineering: Transition or expand into more complex data engineering tasks, including advanced data modeling, ETL/ELT pipeline development, and data warehousing.
• Analytics Consulting: Move into a consulting role, advising clients on BI strategy, tool selection, and data governance.
• Project Management: Develop project management skills to lead BI implementation projects.
• Cross-functional Exposure: Gain exposure to different business domains and industries through various client engagements.

📝 Enhancement Note: Career growth analysis is based on typical progression paths for BI Developers, emphasizing skill expansion and potential shifts into related operational or strategic roles within the data analytics domain.

🌐 Work Environment

Office Type:

• As a fully remote position, the work environment is home-based. This offers a high degree of autonomy and flexibility in managing one's workspace.

Office Location(s):

• While the role is remote, the location "Boston, MA, US" suggests that the company or its primary client may be based in this region. This could imply opportunities for occasional in-person meetings or events if circumstances require, though the "TELECOMMUTE" and "remote_derived": true flags strongly indicate remote work is the standard.

Workspace Context:

• The remote workspace will require a reliable internet connection, a dedicated work area conducive to concentration, and personal equipment suitable for development tasks.
• Collaboration will primarily occur through virtual channels such as video conferencing, instant messaging, and project management tools.
• Access to company-provided software licenses or cloud-based development environments will be necessary.

Work Schedule:

• The standard 40-hour work week is expected.
• Flexibility in daily hours is likely, provided that core business hours for collaboration (likely aligned with US Eastern Time) are observed and project deliverables are met.
• Communication and availability during key meeting times are crucial for effective remote collaboration.

📝 Enhancement Note: The work environment is characterized by its remote nature, emphasizing self-management and virtual collaboration. The Boston location is noted as a potential anchor point for the company or client, but not a requirement for physical presence.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A brief call with a recruiter or HR representative to assess basic qualifications, experience alignment, and interest in the role.
• Technical Interview: This will likely involve a technical assessment, potentially including live coding exercises (SQL, Python) or discussions about past Tableau/Figma projects. Expect questions on data modeling and BI concepts.
• Portfolio Review/Case Study: Candidates will be asked to present their portfolio, focusing on relevant Tableau dashboards. A case study or a specific challenge related to converting Figma designs to Tableau might be presented, requiring the candidate to outline their approach and problem-solving methodology.
• Hiring Manager/Client Interview: A discussion with the hiring manager or a key client stakeholder to evaluate cultural fit, communication skills, and overall strategic alignment with project goals.
• Reference Checks: Standard background and reference checks.

Portfolio Review Tips:

• Curate Selectively: Choose 3-5 of your strongest Tableau projects that best showcase your skills, especially those involving complex data, effective visualization, and user-centric design.
• Highlight Figma Integration: If you have projects directly translating Figma designs to Tableau, make these prominent. Clearly articulate the challenges faced and your solutions. If not, discuss how you'd approach such a task.
• Tell a Story: For each project, explain the business problem, your role, the data sources, the technical approach (data modeling, DAX/SQL logic), the tools used (Tableau, Figma), and the impact/outcome. Quantify results whenever possible.
• Prepare to Discuss Process: Be ready to walk through your design and development process, including data preparation, dashboard building, and testing.
• Technical Depth: Be prepared to answer technical questions about Tableau features, DAX (if applicable, though less common in Tableau than Power BI), SQL queries, and data modeling concepts.

Challenge Preparation:

• Figma to Tableau Translation: Practice thinking through how to map Figma UI elements (buttons, filters, layout, typography, colors) to Tableau's capabilities. Consider potential limitations and workarounds.
• SQL Prowess: Brush up on common SQL functions, window functions, subqueries, and joins. Be ready to write efficient queries.
• Data Modeling Scenarios: Review concepts like star schemas, snowflake schemas, and best practices for creating performant data models in Tableau.
• Problem-Solving Framework: Develop a structured approach to problem-solving (e.g., identify, analyze, propose, implement, verify) that you can apply to technical challenges.

📝 Enhancement Note: This section provides actionable advice tailored to the specific requirements of this role, emphasizing the unique blend of Figma and Tableau skills and the need for a strong portfolio demonstrating practical application.

🛠 Tools & Technology Stack

Primary Tools:

• Tableau: Core tool for dashboard development and data visualization. Proficiency in Tableau Desktop and Tableau Server/Online is expected.
• Figma: Essential for interpreting and translating design mockups into BI dashboards.
• SQL: Critical for data extraction, transformation, and manipulation.

Analytics & Reporting:

• Power BI: Familiarity is preferred, indicating a broader BI ecosystem understanding.
• Data Modeling Tools: May include tools like Tableau's data prep features, or potentially more advanced tools if involved in data warehousing.
• Spreadsheet Software (e.g., Excel): Often used for ad-hoc analysis, data validation, and collaboration.

CRM & Automation:

• CRM Systems (e.g., Salesforce, HubSpot): While not explicitly mentioned, BI developers often work with data originating from CRM systems. Understanding their structure can be beneficial.
• Data Orchestration Tools: Familiarity with tools like Apache Airflow, SSIS, or similar for managing data pipelines is preferred.
• Version Control (e.g., Git): Useful for managing SQL scripts, Python code, and potentially BI project files.

📝 Enhancement Note: The tools are directly extracted from the job description and AI skills, with additional common BI stack components added as likely requirements or beneficial proficiencies.

👥 Team Culture & Values

Operations Values:

• Data-Driven Decision Making: A core value, expecting the developer to use data to inform their work and provide insights to others.
• Efficiency and Optimization: Emphasis on creating performant dashboards and streamlined data processes.
• Collaboration and Communication: Working effectively with diverse teams and stakeholders to achieve common goals.
• Problem-Solving and Innovation: A proactive approach to tackling challenges and finding creative solutions, especially in translating designs.
• Quality and Accuracy: Commitment to delivering reliable and accurate data visualizations and reports.

Collaboration Style:

• Cross-functional Integration: Working closely with business users, analysts, and potentially other technical teams (data engineering, IT).
• Feedback-Oriented: Openness to receiving and providing constructive feedback on designs, data models, and dashboards.
• Proactive Communication: Regularly updating stakeholders on progress, challenges, and potential roadblocks.
• Knowledge Sharing: Willingness to share insights and best practices, particularly regarding Tableau and data visualization techniques.

📝 Enhancement Note: Operations values and collaboration styles are inferred based on the nature of BI development roles and the emphasis on problem-solving and stakeholder interaction described in the job posting.

⚡ Challenges & Growth Opportunities

Challenges:

• Design-to-BI Translation Nuances: The primary challenge is the inherent difficulty in perfectly replicating intricate Figma designs within the constraints and functionalities of Tableau. This requires creative workarounds and negotiation with design expectations.
• Data Complexity: Dealing with complex, potentially messy, or siloed data sources that require significant transformation and modeling.
• Stakeholder Management: Balancing the needs and expectations of various business users, who may have differing data literacy levels and requirements.
• Rapidly Evolving Technology: Staying current with the latest features and best practices in Tableau, Power BI, and related BI technologies.
• Remote Collaboration Dynamics: Maintaining strong team cohesion and communication in a fully remote environment.

Learning & Development Opportunities:

• Advanced Tableau Techniques: Mastering advanced calculations, Level of Detail (LOD) expressions, and performance optimization in Tableau.
• Figma to BI Best Practices: Developing a refined methodology for design-to-development translation.
• Data Architecture: Gaining deeper knowledge in data warehousing, data lakes, and data governance.
• Cloud BI Platforms: Exposure to cloud-based BI solutions (e.g., AWS QuickSight, Looker) if projects involve them.
• Business Acumen: Enhancing understanding of business operations and how BI insights drive strategic decisions.

📝 Enhancement Note: Challenges are identified based on the explicit mention of design conversion difficulties and common issues in BI roles. Growth opportunities are framed around deepening technical skills and expanding into related areas of data analytics and business intelligence.

💡 Interview Preparation

Strategy Questions:

• Design Translation: "Describe your process for taking a Figma design and converting it into a Tableau dashboard. What are the typical challenges you anticipate, and how do you approach overcoming them?" (Focus on process, problem-solving, and potential compromises.)
• Tableau Dashboard Design: "Walk me through a complex Tableau dashboard you built. What was the business problem, what data did you use, what design choices did you make, and what was the impact?" (Prepare a specific project, ideally one with good visualization and user-centric design.)
• Data Modeling: "How do you approach building data models in Tableau to ensure optimal performance and ease of use for end-users? Can you give an example of a data modeling challenge you solved?" (Highlight your understanding of data structures and performance tuning.)
• SQL Proficiency: "Given a scenario, write a SQL query to extract specific data, join tables, and perform aggregations. Be prepared for questions on window functions or common table expressions (CTEs)." (Practice writing SQL queries for common BI tasks.)
• Python for BI: "How have you used Python in a BI context? (e.g., data cleaning, automation, API integration)." (Have examples ready if you have relevant experience.)

Company & Culture Questions:

• "What interests you about Sansar Tec LLC and this specific contract role?"
• "How do you prefer to collaborate with business users and analysts in a remote setting?"
• "How do you stay updated on the latest trends in Tableau and data visualization?"

Portfolio Presentation Strategy:

• Structure: For each project, use the STAR method (Situation, Task, Action, Result). Clearly state the business context, your specific task, the actions you took (technical steps, design considerations), and the quantifiable results or impact.
• Visuals: Ensure your dashboards are clean, well-organized, and easy to navigate during the presentation. Use screen sharing effectively.
• Figma Connection: If presenting a Figma-to-Tableau project, use side-by-side comparisons or highlight how specific design elements were translated. If not, be ready to discuss your hypothetical approach.
• Technical Walkthrough: Be prepared to explain the data sources, data preparation steps, calculation logic, and any advanced features used in Tableau.
• Conciseness: Be mindful of time. Focus on the most impactful projects and key takeaways.

Challenge Preparation:

• Mock Figma-to-Tableau: Spend time sketching out how you'd convert a simple Figma design into a Tableau dashboard, noting potential issues.
• SQL Practice: Use online platforms (e.g., LeetCode, HackerRank) to practice SQL problems.
• Tableau Best Practices: Review Tableau performance tuning tips and advanced visualization techniques.

📝 Enhancement Note: This section offers concrete interview questions and preparation strategies, directly addressing the unique requirements of combining Figma design principles with Tableau development skills. It emphasizes practical demonstration and problem-solving.

📌 Application Steps

To apply for this operations position:

• Submit your application through the provided Comeet link.
• Portfolio Customization: Tailor your resume to highlight your specific experience with Tableau, Figma, SQL, Python, and BI development. If you have projects that directly demonstrate Figma-to-Tableau conversion, ensure they are clearly listed and detailed.
• Resume Optimization: Focus on quantifiable achievements and responsibilities related to BI reporting, data modeling, and problem-solving. Use keywords from the job description naturally throughout your resume.
• Interview Preparation: Practice articulating your experience with the "STAR" method, especially for projects involving data visualization and design translation. Be ready to discuss your approach to remote collaboration and problem-solving.
• Company Research: Briefly review Sansar Tec LLC's services and client focus to understand their business model and how this role fits into their offerings. Understand the importance of delivering value to their clients through BI solutions.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

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