204 Tableau jobs in the United Arab Emirates

Claims Submission and Data Reporting Officer: Responsible for managing both electronic claim submissions through the Shafafiya portal and manual submissions to payers, ensuring full compliance with HAAD/DOH and insurance regulations. This role ensures the accuracy and completeness of claim data, including proper coding of ICDs and CPTs, and works closely with the coding and PAS teams to identify and resolve potential errors prior to submission. Additional responsibilities include generating, analyzing, and sharing reports on claims and remittance advices (RAs), maintaining coder work allocation and clearance on a weekly basis, and providing departmental reports such as the monthly complete claims submission report for the Quality department.

Education - Bachelor's Degree Required

Any relevant certifications is also preferred

Experience with healthcare reporting and data validation.

Proficiency in Microsoft Excel, including the ability to create and manage spreadsheets, use formulas, pivot tables, and generate reports.

Familiarity with medical coding (ICD & CPT), claim submission processes, and healthcare insurance regulations (HAAD/DOH).

Strong proficiency in Microsoft Excel, including advanced functions such as VLOOKUP, pivot tables, and data analysis tools.

KEY RESPONSIBILITIES:

Claims Submission:

• Review, prepare, and submit insurance or healthcare claims to various providers and organizations.
• Ensure claims are submitted accurately and within designated timelines.
• Identify and resolve any discrepancies or errors in submitted claims.
• Work closely with internal teams (e.g., billing, customer service) to obtain any missing information and ensure claim accuracy.
• Maintain a tracking system to monitor the status of submitted claims and follow up as necessary.

Data Reporting:

• Compile, analyze, and generate regular reports on claims data, including submission statuses, payment details, denials, and adjustments.
• Prepare monthly, quarterly, and annual reports for internal stakeholders or external regulatory bodies.
• Ensure reports meet the required standards for accuracy, compliance, and timeliness.
• Conduct trend analysis to identify opportunities for process improvements and cost savings.

Compliance and Documentation:

• Stay updated on relevant regulations, industry standards, and best practices related to claims submission and reporting.
• Ensure all claims and data reporting activities comply with company policies and regulatory requirements.
• Maintain thorough documentation of claims processes, outcomes, and communications for audit purposes.

Collaboration & Communication:

• Communicate effectively with clients, insurance providers, or other third-party organizations to resolve issues related to claims submissions and payments.
• Coordinate with internal teams, including finance, customer service, and operations, to streamline claims processes.
• Provide insights to management and other stakeholders regarding claims trends, potential issues, and recommended solutions.

Process Improvement:

• Identify inefficiencies or challenges in the claims submission and reporting process.
• Work with the team to develop and implement solutions to improve accuracy, speed, and efficiency.
• Recommend updates to systems or software to streamline data collection, claims tracking, and reporting.

Data Reporting and Analytics Consultant III Biostatistics

Posted 1 week ago

Full time

Dubai, AE

Senior

Salary Range: To be discussed

Summary

The Data Reporting and Analytics Consultant at KP-DOR manages and analyzes genomic and EHR data, requiring SAS/SQL skills and experience with large datasets, focusing on epidemiology research.

Description

The Data Reporting and Analytics Consultant will work in the Research Program on Genes, Environment and Health (RPGEH) at the Kaiser Permanente Division of Research (KP-DOR).

RPGEH scientists at KP-DOR conduct NIH-funded epidemiological research in conjunction with the Kaiser Permanente Research Bank (KPRB), a biobank with 400,000 KP adult participants with linked genomic, EHR, and survey data.

RPGEH also facilitates access to the KPRB by scientists outside KP through the provision of preliminary data and de-identified data to access-approved researchers.

RPGEH scientists focus on a broad range of research topics, including pharmacogenetics, genetic and nongenetic factors affecting psychiatric and neurological disorders, vision disorders, cancers and cancer risk factors, cardiovascular disease and risk factors, and other conditions.

The incumbent will work with RPGEH and other investigators on analytical projects using EHR and genomic data and will be required to prepare preliminary data and de-identified analytical datasets for research projects.

Additional duties involve organizing, managing, and documenting the data resources of the program. Candidates are expected to have a working proficiency in SAS and SQL environments .

Prior experience working on Unix-like environments and HPC systems, as well as familiarity with shell scripts and R/Python environments will be beneficial.

Preference will be given to candidates with prior experience handling large scale datasets, particularly genomic data from whole genome SNP microarrays, exome, and whole genome sequence data.

Preference will also be given to candidates with background and training in biostatistics and epidemiology .

The role requires pursuing self-development and effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and customers; influencing others through technical explanations and examples; providing occasional mentoring to team members; listening and responding to, seeking, and addressing performance feedback; creating plans to capitalize on strengths and develop weaknesses; anticipating and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.

The consultant will complete work assignments by applying up-to-date expertise in the subject area to generate creative solutions; ensuring all procedures and policies are followed; leveraging an understanding of data and resources to support projects or initiatives; collaborating cross-functionally to solve business problems; identifying and monitoring priorities, deadlines, and expectations; communicating progress and information; identifying, recommending, and implementing ways to address improvement opportunities; and escalating issues or risks as appropriate.

The consultant will support and develop analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.

The role will also involve gathering data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.

Additionally, the consultant will support data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; and developing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.

Finally, the consultant will develop, implement, and automate business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizing data and results; and creating summary statistics.

Data Reporting and Analytics Consultant III Biostatistics

Posted 1 week ago

Full time

Dubai, AE

Senior

Salary Range: To be discussed

Summary

The Data Reporting and Analytics Consultant at KP-DOR manages and analyzes genomic and EHR data, requiring SAS/SQL skills and experience with large datasets, focusing on epidemiology research.

Description

The Data Reporting and Analytics Consultant will work in the Research Program on Genes, Environment and Health (RPGEH) at the Kaiser Permanente Division of Research (KP-DOR).

RPGEH scientists at KP-DOR conduct NIH-funded epidemiological research in conjunction with the Kaiser Permanente Research Bank (KPRB), a biobank with 400,000 KP adult participants with linked genomic, EHR, and survey data.

RPGEH also facilitates access to the KPRB by scientists outside KP through the provision of preliminary data and de-identified data to access-approved researchers.

RPGEH scientists focus on a broad range of research topics, including pharmacogenetics, genetic and nongenetic factors affecting psychiatric and neurological disorders, vision disorders, cancers and cancer risk factors, cardiovascular disease and risk factors, and other conditions.

The incumbent will work with RPGEH and other investigators on analytical projects using EHR and genomic data and will be required to prepare preliminary data and de-identified analytical datasets for research projects.

Additional duties involve organizing, managing, and documenting the data resources of the program. Candidates are expected to have a working proficiency in SAS and SQL environments .

Prior experience working on Unix-like environments and HPC systems, as well as familiarity with shell scripts and R/Python environments will be beneficial.

Preference will be given to candidates with prior experience handling large scale datasets, particularly genomic data from whole genome SNP microarrays, exome, and whole genome sequence data.

Preference will also be given to candidates with background and training in biostatistics and epidemiology .

The role requires pursuing self-development and effective relationships with others by proactively providing resources, information, advice, and expertise with coworkers and customers; influencing others through technical explanations and examples; providing occasional mentoring to team members; listening and responding to, seeking, and addressing performance feedback; creating plans to capitalize on strengths and develop weaknesses; anticipating and responding to the needs of others; and adapting to and learning from change, difficulties, and feedback.

The consultant will complete work assignments by applying up-to-date expertise in the subject area to generate creative solutions; ensuring all procedures and policies are followed; leveraging an understanding of data and resources to support projects or initiatives; collaborating cross-functionally to solve business problems; identifying and monitoring priorities, deadlines, and expectations; communicating progress and information; identifying, recommending, and implementing ways to address improvement opportunities; and escalating issues or risks as appropriate.

The consultant will support and develop analytical and/or statistical models enabling informed business decisions by determining data and analytical requirements; creating models leading to actionable insights; and testing, refining, and validating models.

The role will also involve gathering data and information on targeted variables in an established systematic fashion by validating data sources; querying, merging, and extracting data across sources; completing routine data refresh and update; developing and/or delivering tools for electronic data collection; and providing user training, support, and documentation.

Additionally, the consultant will support data analysis interpretation by applying findings to contextual settings under the guidance of more senior employees; and developing reports and presentations telling a compelling story to stakeholders to enable and influence decision making.

Finally, the consultant will develop, implement, and automate business and reporting solutions by working with stakeholders in their design, planning, and implementation while ensuring consistency and coherency; summarizing data and results; and creating summary statistics.

Data Analysis Specialist

We are seeking a skilled data analysis specialist to join our team. The ideal candidate will have expertise in developing and implementing data-driven solutions.

The successful candidate will work closely with stakeholders to identify business needs and develop effective strategies to address them.

• Key Responsibilities:
• Develop and implement data analysis models to inform business decisions
• Analyze large datasets to identify trends and patterns
• Design and implement data visualization tools to communicate insights effectively
• Collaborate with cross-functional teams to integrate data analysis into business processes

Required Skills:

• Advanced knowledge of statistical techniques and machine learning algorithms
• Experience with data visualization tools such as Tableau or Power BI
• Strong programming skills in languages such as Python or R
• Ability to communicate complex data insights to non-technical stakeholders

Benefits:

• Opportunity to work on challenging projects and collaborate with experienced professionals
• Professional development opportunities, including training and mentorship
• A dynamic and inclusive work environment

Job Title: Data Expert

At our organization, we are seeking a talented Data Expert to join our team. As a key member of our data science team, you will play a vital role in helping us make informed decisions by leveraging data insights and analysis.

Key Responsibilities:

• Design and implement advanced statistical models to analyze complex data sets.
• Develop and maintain databases to store and manage large datasets.
• Collaborate with cross-functional teams to identify business needs and develop solutions.
• Communicate findings and insights effectively to both technical and non-technical stakeholders through reports, presentations, and visualizations.
• Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies.

Required Skills and Qualifications:

• Bachelor's degree in statistics, applied mathematics, or related discipline.
• Minimum of 4-6 years of experience in a similar role.
• Proficiency with data mining, mathematics, and statistical analysis.
• Advanced pattern recognition and predictive modeling experience.
• Experience with Excel, Tableau/Looker Studio, SQL, and programming languages such as Python and R.
• Storytelling and data visualization skills.
• Comfort working in a dynamic, data-oriented team with several ongoing concurrent projects.

Preferred Qualifications:

• Master's degree in stats, applied math, or related discipline.
• Experience with NoSQL, Pig, Hive, and PySpark/Big Query.

Data Analysis Opportunity

• Collect, examine, and interpret data to reveal trends and patterns.
• Create clear visual reports based on data analysis and provide actionable recommendations.
• Work with large datasets using statistical methods.

• Degree or equivalent in a related field.
• Previous experience as a Data Analyst is preferred but not essential.
• Proficiency in Microsoft Office (especially Excel) and programming languages such as SQL, R, or Python is advantageous.

Benefits:

Join our team and develop your skills while contributing to our success.

Collect and analyze complex data to inform strategic business decisions.

• Analyze large datasets from various sources to identify trends and insights.
• Develop innovative solutions to meet stakeholder needs and drive business outcomes.
• Create automated reports, predictive models, and data visualizations.
• Communicate findings effectively to both technical and non-technical audiences.

• Bachelor's degree in computer science, mathematics, statistics or related field.
• Experience with SQL, Python, or R programming languages and statistical analysis techniques such as regression and clustering.
• Excellent problem-solving skills, attention to detail, and ability to work under pressure.

• Opportunity to work on diverse projects and collaborate with cross-functional teams.
• Professional development and training opportunities to enhance skills and knowledge.
• A dynamic and supportive work environment that fosters growth and innovation.

• Analyze complex data to identify trends and insights.
• Develop innovative solutions to meet stakeholder needs.
• Communicate findings effectively to both technical and non-technical audiences.

We are seeking a skilled Quantitative Researcher to join our team.

• Our ideal candidate will have extensive experience in market research and strategy implementation, as well as strong analytical and problem-solving skills.

Key Responsibilities:

• Conduct comprehensive market research to identify new trading opportunities;
• Design and implement effective trading strategies based on market research findings;
• Perform thorough analysis of existing trading strategies to enhance risk-adjusted returns and adapt to changing market conditions;
• Collaborate with colleagues to leverage diverse expertise in refining and optimizing strategies.

Qualifications:

• 2+ years of experience in quantitative research/trading with specialization in spreads/option strategies;
• Experience with market-making trading strategies;
• Strong knowledge of statistical analysis, data mining, and predictive modeling;
• Understanding of market microstructure;
• Experience with using L2/L3 market data for research;
• Exceptional quantitative and mathematical skills, adept problem-solving;
• Proficient in any research-oriented programming language (Python preferred) with ability to write efficient code;
• Strong collaborative spirit, work ethics, and determined drive for success, with ability to work both independently and as part of a team;
• Strong communication skills with ability to clearly explain complex ideas.

Preferred Qualifications:

• Advanced degree (PhD or Masters) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Physics, or a related field;
• Good programming skills in programming languages like C/C++ or Rust.

Benefits:

• Full-time employment opportunity;
• Remote work option available;
• Potential for career growth and professional development.

Contact Information:

Ajman UAE is looking for a skilled Data Analyst to join our team. Our ideal candidate will possess a strong background in data analysis and excellent analytical, problem-solving and communication skills.

The successful applicant will be responsible for collecting, analyzing, and interpreting large amounts of data using various tools and techniques. They will also develop data models and utilize data visualization tools to help interpret data efficiently.

This role requires exceptional knowledge of SQL and other programming languages such as Python or R. The ideal candidate should have a Bachelor's Degree in Computer Science, Mathematics, or similar field.

We are seeking someone with proven experience in data analysis who can work independently and collaboratively within a team environment. Excellent communication skills, both written and verbal, are essential for this position.

The successful candidate will be able to manage multiple projects simultaneously while meeting tight deadlines and demonstrate strong attention to detail with excellent organizational skills.

• Key Responsibilities:
• Collecting, analyzing, and interpreting large amounts of data.
• Developing data models and utilizing data visualization tools.
• Maintaining accurate and up-to-date records.

Requirements:

• Bachelor's Degree in Computer Science, Mathematics, or similar field.
• Proven experience in data analysis.
• Excellent knowledge of SQL and other programming languages.
• Ability to work independently and collaboratively within a team environment.
• Excellent communication skills, both written and verbal.
• Ability to manage multiple projects simultaneously while meeting tight deadlines.
• Strong attention to detail with excellent organizational skills.

What We Offer:

A competitive salary package and opportunities for career growth and development in a dynamic and innovative organization.