Tableau Data Visualization Analyst 1 Jobs

Strong visualization skills (tableau or power BI)

Strong SQL experience, writing SQL quires and validating the data

Experience working in an agile environment

Reinsurance or insurance industry knowledge

3-5+ years as a data analyst/tableau developer

Ability to understand business needs and provide strong analysis to stakeholders

Knowledge of data management concepts and terminology

Navigate and publish BI dashboards/reports after review by more experienced team members.

Develop knowledge of business and technical metadata to support visualization work.

Tactical experience with a minimum of one data visualization tool

Experience developing basic dashboards/reports and data visualizations

Basic knowledge of data visualization approaches

Knowledge of statistics, data management tools like R is an added advantage

Education, Experience, Training, and Knowledge:

Work with lead consultant, peer data analyst and Quality manager to understand and contribute to database rules, specifications, and quality process

Masters in Pharmacology or Pharmaceutics (with relevant experience), Pharma D, Clinical Practice, Master’s in Public Health and Epidemiology

Basic understanding of Information science, Systematic Literature review, Health-economics and public health sectors, pharmaceutical industry experience preferred

Strong knowledge of Pharmacology and clinical research is a must

One (1) year IT work experience and knowledge of data quality assurance, data analysis, and data modeling required.

Other related skills and/or abilities may be required to perform this job.

Experience in Healthcare domain is preferred.

Analytical thinking; accuracy and attention to detail skills.

Written and verbal communication skills; interpersonal skills.

Support in the development of short- and long-term solutions of information architecture strategies.

technique as well as experience working across large

Is multi-skilled with expertise across software

Sought out as coach for at least one technical skill

and uses experience to influence application of

Snowflake tables, queries, rules Data manipulation over visualization Solid SQL, Alteryx, Python.

Research tables, understanding how data goes together .

Responsible for data analytics projects including the requirements gathering, delivery timing, technical reports, and final presentations to stakeholders.

Candidate should have experience analyzing data for trends and insights. Experience with SQL, Tableau, Machine Learning, Python, and PySpark preferred.

Develop visualizations utilizing Tableau that track various KPIs and provide actionable information to stakeholders.

Clearly and transparently communicates the status of current projects, new possible opportunities, and roadblocks to success to departmental leadership.

Leverage data from various database platforms using SQL.

Perform statistical analysis such as control charts, regression, hypothesis testing, and reliability analysis.

Up to three (3) days of professional leave annually to participate in professional developmentHealth Care Benefits

Family dental and vision benefits at no additional cost Additional Benefits

Thirteen (13) paid holidays annually

Up to Thirteen (13) days of paid vacation leave annually

Up to Five (5) days of paid personal leave annually

Up to Thirteen (13) days of paid sick leave annually for PEF/CSEA

Apply knowledge of analytical systems and visual link analysis charts to reports.

Use knowledge of structural query language to present tables in relational databases

Responsibilities Include, But Are Not Limited To

Utilizing data mining techniques, tools, and interpretation of raw data to perform comprehensive analysis identifying hidden fraud patterns and recommending solutions.

Create strategic or technical written reports and communicate actionable recommendations to stakeholders.

Continuously assess and enhance existing data analysis processes, methodologies, and tools to improve efficiency and accuracy.

Apply knowledge of analytical systems and visual link analysis charts to reports.

Use knowledge of structural query language to present tables in relational databases

Responsibilities Include, But Are Not Limited To

Utilizing data mining techniques, tools, and interpretation of raw data to perform comprehensive analysis identifying hidden fraud patterns and recommending solutions.

Create strategic or technical written reports and communicate actionable recommendations to stakeholders.

Continuously assess and enhance existing data analysis processes, methodologies, and tools to improve efficiency and accuracy.

----Analyze data to support the decision-making process

----Help senior staff with the development of executive leadership presentations

----Build dashboards and tools to support various project initiatives

This position is located in Holly Springs, NC. We seek candidates who are interested in being on-site where the action is.

exceedingly bright and self-directed data analyst

pharmaceutical industry would be a plus

Strong analytical skills and attention to detail.

Interest in STEM education and contributing to closing the gender gap in the field.

Prior experience with research is advantageous.

Assist in the organization, cleaning, and processing of data related to schools, colleges, and corporations.

Collaborate with the Analytics Team Lead to gather insights and make data-driven decisions.

Analyze data using various tools and techniques to identify trends and patterns.

o Root cause analysis skills

o Provides requirements and user-acceptance testing for large-scale IT solutions that source, transform, and deliver that data.

o Develops and executes process review and reconciliation of data between sources and platforms.

o Ensures the accuracy and reliability of owned data sets. Provides final sign-off for critical data sets.

o Makes modifications and enhancements to the data in support of ongoing service needs.

o Serves as a subject matter expert.

Knowledge, Skills and Abilities (REQUIRED):

Bachelor’s degree in Accounting, Finance or related degree;

MS Office - Excel experience

Demonstrated clerical, interpersonal, and basic organizational skills.

This position will have the opportunity to be fully remote.

High school diploma, G.E.D., or relevant experience.

5 years required experience creating and providing, and presenting status reports, options and feedback to upper management and C Level stakeholders.

1-year preferred experience Tableau Certification.

1-year preferred experience Knowledge of ERP systems and financial modules.

II. CANDIDATE SKILLS AND QUALIFICATIONS

8 years required experience Senior level business, data and report development expertise with Tableau.

1-year preferred experience Previous Tableau experience in the Public Sector.

Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Business Administration, or a related field.

Analytical Skills: Strong analytical and problem-solving skills, with the ability to interpret complex data sets and draw meaningful insights.

Business Acumen: Understanding of business processes and the ability to translate business requirements into data-driven solutions.

Communication: Excellent verbal and written communication skills, with the ability to present technical information to non-technical stakeholders.

Experience: Previous experience in data analysis, business intelligence, or related roles is desirable.

Attention to Detail: Meticulous attention to detail and a commitment to data accuracy.

• Tactical experience with a minimum of one data visualization tool.

• Experience designing and developing advanced dashboards/reports and data visualizations.

• Expert knowledge of data visualization approaches.

• Experience incorporating data storytelling into visualizations.

• Experience using Structured Query Language (SQL) to analyze, extract, and transform data.

This opportunity is not open to C2C relationships or visa sponsorship.

Develop ability to help identify emerging warranty issues that need immediate containment through the use of the Progress Management Tool (PMT).

Support specialists and analysts within PQA. Kaizen warranty processes to increase efficiency and throughput.

Prepare Monthly Quality Reports for site and regional meetings.

Be willing to learn internal plant KPIs such as STR, DPHU, and AVES. Create correlation studies between internal and external KPIs.

Help summarize cases for warranty exclusions to reduce the NNA warranty incident rate for non-valid claims.

Be able to work within warranty databases and make minor changes.

Identify risk-related issues needing escalation to management.

Use expert knowledge of business and technical metadata, data quality, and issue remediation to create accurate data models within BI tool(s).

Mentor less experienced team members in the use of dashboard/report templates, data visualization best practices and facilitate learning opportunities.

Tactical experience with a minimum of one data visualization tool

Experience designing and developing advanced dashboards/reports and data visualizations

Expert knowledge of data visualization approaches

User Experience: Focus on user experience design principles to create intuitive and user-friendly data visualizations.

Collaboration: Work closely with cross-functional teams to understand business requirements and provide actionable insights through visualizations.

Analytical Skills: Strong analytical and problem-solving skills to interpret complex datasets and present meaningful insights.

Communication: Excellent communication and presentation skills to convey technical information to non-technical audiences effectively.

Data Cleaning and Preparation: Validate and clean datasets to ensure accuracy and reliability of visualizations and reports.

Data Governance: Ensure data privacy and security measures are followed in accordance with company policies and regulations.

Familiarity with data warehousing concepts and database management systems.

Strong knowledge of data manipulation and analysis using programming languages like Python, R, or SQL.

Education: Bachelor's or Master's degree in Data Science, Computer Science, Information Design, Statistics, or a related field.

Proficiency in data visualization tools such as Tableau, Power BI, or QlikView.

Understanding of data visualization principles and best practices.

Analytical Mindset: Ability to interpret data, identify trends, and draw meaningful insights to communicate through visualizations.