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Data Visualization Jobs in Fall River, MA (NOW HIRING)

Data Engineer 1

Providence, RI · On-site

$80K - $96K/yr

Stay up to date with emerging technologies, industry trends, and best practices in data analysis, engineering, and visualization * Identify opportunities to improve data infrastructure, processes ...

Review and manage interfaces supporting graph data access including APIs, visualization tools, and analytics platforms * Partner with data science and analytics teams to enable graph-based feature ...

Review and manage interfaces supporting graph data access including APIs, visualization tools, and analytics platforms * Partner with data science and analytics teams to enable graph-based feature ...

Deep knowledge of Power BI data modeling, DAX formulas, data visualization, report design, dashboard creation, data transformation with Power Query, data source connections, and sharing and ...

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Data Visualization information

See Fall River, MA salary details

$54.2K

$109.9K

$162.1K

How much do data visualization jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data visualization in Fall River, MA is $109,871.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,300.00 and $123,500.00 per year, depending on experience, location, and employer.

What Is Data Visualization?

Data visualization is the process of taking statistical data and preparing it in a visual context that is easier to understand. You use software and graphics to demonstrate patterns, correlations, and trends that appear more significant when viewed outside of a written context. Visual representation comes in the form of infographics, heat maps, geographic maps, and detailed pie or bar charts. Business intelligence recognizes the need for appropriate colors and images and is now standard for modern organizations. Data visualization is also a reporting tool that tracks performance and generates dashboards to observe click-through rates digital marketing campaigns.

Is 40 too late for data science?

Data visualization is a key skill in data science, and individuals can successfully transition into this field at any age, including 40. Building relevant skills such as proficiency in tools like Tableau or Power BI, along with foundational knowledge in statistics and programming, can facilitate entry regardless of age, as employers value experience and diverse perspectives.

Can I be a data analyst with no experience?

Data analysts typically need some familiarity with data analysis tools like Excel, SQL, or visualization software such as Tableau. While prior experience is often preferred, entry-level positions may be available for those who demonstrate strong analytical skills and a willingness to learn through courses or certifications. Building a portfolio of projects can also improve chances of securing a data analyst role without formal experience.

What is the difference between Data Visualization vs Data Analyst?

AspectData VisualizationData Analyst
Primary FocusCreating visual representations of dataAnalyzing and interpreting data
SkillsData visualization tools, graphic design, storytellingStatistical analysis, Excel, SQL, data interpretation
ToolsTableau, Power BI, D3.jsExcel, SQL, R, Python
Work EnvironmentDesign-focused, often collaborative with data teamsAnalytical, research-oriented, cross-departmental

Data Visualization specialists focus on creating visual representations to communicate data insights effectively, while Data Analysts analyze data to uncover trends and inform decisions. Both roles often collaborate but serve different core functions within data-driven organizations.

What is data visualization?

Data visualization is the process of representing data and information in a graphical or pictorial format, such as charts, graphs, or maps. This practice helps people understand complex data sets more easily by highlighting patterns, trends, and outliers. Data visualization is widely used in various industries to support decision-making, communicate insights, and make data more accessible to a broader audience.

Is data visualization a good career?

Data visualization is a valuable career in data analysis and business intelligence, involving creating visual representations of data using tools like Tableau, Power BI, or Python. It requires strong analytical skills, knowledge of data tools, and the ability to communicate insights effectively, making it a growing field with demand across many industries.

What are some common challenges faced by professionals in Data Visualization roles, and how can they be addressed?

Professionals in Data Visualization often encounter challenges such as translating complex datasets into clear, meaningful visuals and ensuring that visualizations are both accurate and accessible to diverse audiences. Balancing aesthetic appeal with functionality can also be demanding, as visuals must communicate insights without causing confusion. To address these challenges, effective collaboration with data analysts, subject matter experts, and end-users is essential, as is staying current with best practices and visualization tools. Regular feedback and iteration help refine visualizations to best meet stakeholders' needs.

What are the key skills and qualifications needed to thrive as a Data Visualization Specialist, and why are they important?

To thrive as a Data Visualization Specialist, you need strong analytical abilities, a solid foundation in statistics, and proficiency with data visualization principles, typically supported by a degree in data science, computer science, or a related field. Familiarity with visualization tools such as Tableau, Power BI, or D3.js, and experience with data processing languages like Python or R, are commonly required. Creativity, attention to detail, and effective communication skills help convey complex data insights clearly to diverse audiences. These skills ensure that data is transformed into actionable, visually compelling insights that drive informed decision-making within organizations.

What jobs do data visualization?

Data visualization jobs include roles such as data analyst, data scientist, business intelligence analyst, and data visualization specialist. These positions involve creating visual representations of data using tools like Tableau, Power BI, or Python to help organizations interpret complex information and support decision-making.
What job categories do people searching Data Visualization jobs in Fall River, MA look for? The top searched job categories for Data Visualization jobs in Fall River, MA are:
What cities near Fall River, MA are hiring for Data Visualization jobs? Cities near Fall River, MA with the most Data Visualization job openings:
Infographic showing various Data Visualization job openings in Fall River, MA as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $109,871 per year, or $52.8 per hour.
Medical Device Complaint Trending Expert (Any Facility)

Medical Device Complaint Trending Expert (Any Facility)

Integra LifeSciences

Mansfield, MA

$81K - $112K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 15 days ago


Integra LifeSciences rating

9.5

Company rating: 9.5 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Changing lives. Building Careers.

Joining us is a chance to do important work that creates change and shapes the future of healthcare. Thinking differently is what we do best. To us, change equals opportunity. Every day, our colleagues are challenging what's possible and making headway to innovate new treatment pathways to advance patient outcomes and set new standards of care.

The Medical Device Complaint Trending Expert is responsible for the end-to-end development, execution, and oversight of complaint data trending and signal detection activities to ensure timely identification of product quality, safety, and compliance risks. This role serves as a subject matter expert (SME) for complaint analytics, statistical trending methodologies, and regulatory expectations related to post-market surveillance.


The individual partners cross functionally with Quality, Regulatory Affairs, Risk Management, R&D, Manufacturing, and Medical Safety to translate complex complaint data into actionable insights that support corrective and preventive actions (CAPA), regulatory submissions, and risk management decisions.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Work end to end complaint trending data and analysis
  • Identify trends within complaints being able to know the difference between variation vs signal.
  • Design, maintain, and continuously improve complaint trending methodologies aligned with regulatory and business risk principles
  • Perform routine and ad hoc trending analyses to identify statistically significant signals, emerging risks, and adverse trends
  • Apply appropriate statistical tools and data visualization techniques to evaluate complaint data across products, failure modes, and geographies
  • Establish alert thresholds, escalation criteria, and signal validation processes
  • Support inspections, and audits with defensible trending analyses and documentation
  • Author or review SOPs, work instructions, and templates related to trending and post-market surveillance
  • Partner with Complaint Handling, CAPA, and Risk Management teams to translate trend signals into formal investigations and actions
  • Collaborate with Medical Safety, Clinical, and Regulatory teams to evaluate patient safety and reporting impact
  • Present trending results and risk assessments to management, governance boards, and quality review councils
  • Serve as SME for complaint data systems and analytics tools (e.g., validated QMS systems, dashboards, and reporting platforms)
  • Ensure data integrity, consistency, and traceability across complaint datasets
  • Develop standardized dashboards, trend reports, and executive summaries
  • Interpret and analyze complex data sets and clearly communicate findings to both technical and non-technical stakeholders
  • Monitor industry best practices and regulatory guidance related to complaint trending and post-market surveillance
  • Identify process improvements to enhance early signal detection, efficiency, and compliance
  • Mentor and train colleagues on trending methodologies and regulatory rationale
MINIMUM QUALIFICATIONS
  • Bachelor's degree in Engineering, Life Sciences, Biostatistics, Data Analytics, or a related field
  • Minimum 5-8 years of experience in medical device quality, complaint handling, post-market surveillance, or safety analytics
  • Demonstrated expertise in complaint trending, signal detection, and root cause analysis
  • Strong knowledge of global medical device regulations (FDA, EU MDR, ISO standards)
  • Advanced analytical and problem-solving skills with the ability to interpret complex data
  • Excellent written and verbal communication skills
  • Strong knowledge of global medical device regulations
  • 21 CFR Parts 803 and 820 / QSR and QMSR
  • EU MDR (Articles 83-86)
  • MDSAP and ISO 13485
  • ISO 13485 and 14971
  • Experience presenting to internal leadership as well as regulators/auditors.

Preferred Qualifications

  • Advanced degree (MS, MBA, or equivalent).
  • Proficiency with statistical software or data visualization tools (e.g., Minitab, Power BI, Oracle, TrackWise)
  • Experience working with global complaint databases and high-volume product portfolios

Additional Qualifications

  • Strong oral and written English communication skills and effective interpersonal skills.
  • Experience in FDA-regulated environment.
  • Strong collaboration skills and experience working in a matrix environment.
  • Ability to multitask, prioritize and meet deadlines.
  • Proficiency in Microsoft Office (SharePoint, PowerPoint, Word, Excel, Adobe Acrobat, etc.) is required.

Salary Pay Range:

$81,650.00 - $112,700.00 USD Salary

Our salary ranges are determined by role, level, and location. Individual pay is determined by several factors including job-related skills, experience, and relevant education or training. In addition to base pay, employees may be eligible for bonus, commission, equity or other variable compensation. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Additional Description for Pay Transparency:

Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance, and savings plan (401(k)).

Subject to the terms of their respective policies and date of hire, Employees are eligible for the following Total Rewards | Integra LifeSciences

Integra LifeSciences is an equal opportunity employer, and is committed to providing equal employment opportunities to all qualified applicants and employees regardless of race, marital status, color, religion, sex, age, national origin, sexual orientation, physical or mental disability, or protected veteran status.
This site is governed solely by applicable U.S. laws and governmental regulations. If you'd like more information on your rights under the law, please see the following notices:
EEO Is the Law | EOE including Disability/Protected Veterans
Integra LifeSciences is committed to provide qualified applicants and employees who are disabled veterans or individuals with disabilities with needed reasonable accommodations in accordance with the ADA. If you have difficulty using our online system due to a disability and need an accommodation, please email us at careers@integralife.com.

Unsolicited Agency Submission

Integra LifeSciences does not accept unsolicited assistance from search firms for employment opportunities. All CVs/resumes submitted by search firms to any employee at our company without a valid written search agreement in place for this position will be deemed the sole property of our company. No fee will be paid in the event a candidate is hired by our company as a result of an agency referral where no pre-existing agreement is in place. A formal written agreement is required before engaging any agency, and it must be executed and authorized by the Vice President, Talent Acquisition. Where agency agreements are in place, introductions (the initial sharing of a candidate's name, resume, or background) are position-specific and may only occur within the scope of that approved agreement. Please, no phone calls or emails.

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