Tableau Specialist
Posted 24 days ago
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Job Description
As a Tableau Data Analyst, the primary responsibility is to support data-driven decision-making through the preparation, analysis, and reporting of key business metrics. Collaborating closely with stakeholders to understand reporting needs, clean, and transform raw data, and deliver actionable insights through dashboards and reports.
Key responsibilities include:- Preparing and refreshing data flows weekly using Tableau Prep and Excel.
- Managing and maintaining Excel dashboards and Power Query-based reports.
- Ensuring accuracy and consistency of data through validation and quality checks.
- Automating data processes to reduce manual effort and improve efficiency.
- Collaborating with cross-functional teams to gather requirements and support reporting needs.
- Providing ad-hoc analysis as requested by managers or team leads.
- Maintaining organized data files, query documentation, and reporting schedules.
- Creating tools usable for the VCP team.
Examples include Tableau Prep, Excel, and Power Query:
- Tableau Prep
- Excel Advanced (VBA, using Power Query and Power Pivots)
- Excel Online (Office Scripts)
- Tableau Desktop (for data accuracy checks only)
Data Reporting and ytics Consultant III Biostatistics
Posted today
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Data Reporting and Analytics Consultant III Biostatistics
Posted 1 week ago
Full time
Dubai, AE
Senior
Salary Range: To be discussed
Full Job DescriptionSummary
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.
#J-18808-LjbffrData Analysis
Posted today
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Job Description
Job overview: To lead strategic and operational projects, analyze data for decision-making, develop policies based on insights, and enable digital transformation through electronic system integration.
Key Responsibilities- Develop and monitor strategic and operational project plans.
- Analyze numbers, financial indicators, and statistical data to extract accurate insights and recommendations.
- Prepare and review impactful policy and analytical studies.
- Coordinate and implement electronic integrations between internal and external systems.
- Design and build interactive dashboards for performance monitoring.
- Apply artificial intelligence techniques to enhance institutional performance.
- Prepare and deliver professional PowerPoint presentations.
- Bachelor's or Master's degree in Business Administration, Data Analysis, Information Systems, or equivalent.
- 3 to 5 years of professional experience in project management and data analysis.
- Advanced proficiency in data analysis tools: Power BI, Excel, SQL.
- Familiarity with project management tools such as MS Project or Jira.
- Experience in public policy analysis and impact assessment.
- Good understanding of electronic integration (APIs – Web Services).
- Familiarity with AI concepts and their application in business.
- Strong ability to understand and analyze numerical and statistical data in an operational context.
- PMP – Project Management Professional
- Microsoft Certified: Data Analyst Associate (Power BI)
- Google Data Analytics Certificate
- Microsoft AI Fundamentals (AI-900)
- Scrum Master / Agile Foundation
- API Fundamentals by Postman
- Effective Business Presentation (LinkedIn Learning)
- Analytical thinking and strategic planning.
- Strong communication skills.
- Effective time and task management.
- Teamwork and cross-functional collaboration.
- Attention to detail and accuracy.
- Arabic: For policy, official communication, and internal/local coordination.
- English: For using technical tools, reporting, and professional communication.
- Not Applicable
- Contract
- Information Technology
- IT Services and IT Consulting
#J-18808-Ljbffr
Data Analysis Specialist
Posted today
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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:
),Data Analysis Professional
Posted today
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Job Overview
We are seeking an analytical professional to join our team as a Data Analyst Trainee in a remote work environment.
This is an excellent opportunity for fresh graduates or aspiring data professionals to gain hands-on experience in data analysis, visualization, and reporting. The trainee will work closely with our data analytics team to derive insights, optimize business processes, and support decision-making with data-driven solutions.
Key Responsibilities
- Assist in collecting, cleaning, and organizing data from various sources.
- Perform basic data analysis and generate reports to identify trends and insights.
- Support in developing dashboards and visualizations using tools like Excel, Power BI, or Tableau.
- Work with structured and unstructured data to extract meaningful information.
- Collaborate with different teams to understand data needs and provide analytical support.
- Learn and apply statistical techniques, predictive modeling, and data storytelling.
- Document findings, methodologies, and best practices for future reference.
Requirements
- Bachelor's degree (or currently pursuing) in Computer Science, Data Science, Statistics, Mathematics, or a related field.
- Basic understanding of SQL, Excel, and data visualization tools (Power BI / Tableau).
- Knowledge of Python or R for data analysis is a plus.
- Strong analytical thinking and problem-solving skills.
- Attention to detail and ability to work with large datasets.
- Excellent communication and teamwork skills.
- Eagerness to learn new tools and technologies in data analytics.
What We Offer
- Hands-on training and mentorship in data analytics.
- Opportunity to work on real-world projects and datasets.
- Flexible remote work environment.
- Career growth and potential for a full-time position based on performance.
If you are passionate about data and eager to kick-start your career in analytics, we would love to hear from you.
Data Analysis Specialist
Posted today
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Job Description
We are currently seeking an experienced Data Analyst to join our organization in Sharjah. This role requires a Bachelor's degree in Computer Science, Maths or Statistics, and at least two years of experience in data analysis.
- Familiarity with latest data analysis tools and techniques such as SQL, Python, Tableau and Power BI is essential.
- The ideal candidate must be able to work independently with minimal supervision in a fast-paced environment.
- Collecting, analyzing and interpreting data from multiple sources.
- Creating reports and visualizations for decision making.
- Identifying trends and patterns.
- Developing predictive models for forecasting.
- Reporting insights to stakeholders.
- Optimizing existing processes and procedures within the organization.
- Providing support for ad hoc projects or initiatives.
This opportunity offers a competitive salary package and benefits. We welcome applications from foreign candidates who can demonstrate the necessary skillset.
We value collaboration, innovation, and growth, and we are committed to supporting our employees' development and success.
Data Analysis Specialist
Posted today
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A data analyst with a strong background in business requirements is required for a project at Expleo Group. This position involves bridging the gap between business and technical teams by documenting specifications and validating functional deliverables.
Key Responsibilities- Review existing reports, dashboards, and mapping rules; capture functional knowledge, filters, and performance indicators.
- Collaborate with stakeholders to define migration acceptance criteria for Snowflake.
- Document mapping specifications for redevelopment projects involving Informatica.
- Define functional specs for MicroStrategy reports and dashboards, including prompts, hierarchies, and drill paths.
- Support UAT by preparing test scenarios and validating business outputs.
- Strong experience with Oracle BI and familiarity with MicroStrategy reporting constructs.
- Knowledge of ETL mapping rules and data validation processes.
5–8 years of experience as a Business Analyst in Business Intelligence/data warehouse projects.
Seniority level- Mid-Senior level.
- Project Management.
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Data Analysis Specialist
Posted today
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We are seeking a skilled developer to join our team as a Survey Core Developer.
This role involves developing and maintaining in-house programmable tools that enhance data acquisition, processing, and reporting routines. The ideal candidate will have experience in GIS analysis applications and development, proficiency in various programming languages, and familiarity with AutoCAD, Geophysical, Geotechnical, and Seismic data formats and conversions.
The responsibilities of this role include:
- Developing programs to improve data security and storage, as well as internal and external data transfer.
- Minimizing costs and reporting time by accelerating processing and reporting routines, allowing for competitive bidding and timely reporting to clients.
- Developing customized tools to streamline data from various survey and geotechnical sections, producing better presentations for clients.
- Troubleshooting and solving data artefacts due to operational limitations.
- Giving training to personnel on using in-house customized tools.
- Automating reporting in Geophysical, Geotechnical, and ROV divisions.
- Developing 3D visualization platforms and transforming GIS into valuable products.
- Creating remote jackets and topside installation visualization/monitoring tools.
- Developing PRC-like products for surface and subsurface visual surveys.
- Migrating the company towards image processing, AI, machine learning, augmented, and virtual reality benefits.
The following skills and qualifications are required for this role:
- Three years of experience in GIS analysis applications and development.
- Proficiency in C, C#, Python, Matlab, LISP, Java, HTML, Computer Vision, Machine Learning, Automation, Augmented Reality, Slam, Serial communications, MultiThreading, ObjectARX, Azure IoT, OpenGL, OpenCV, MS ACCESS Database SQL.
- Three years of experience in Web-based programming and design.
- Familiarity with AutoCAD, Geophysical, Geotechnical, and Seismic data formats and conversions.
We offer a dynamic environment with opportunities to make an impact in an earthmoving company as part of a diverse international team. You can expect rewarding conditions, including a competitive salary and more. A warm welcome and career development opportunities, including online courses in the Boskalis academy, are also available. Participation in Young Boskalis social events and engaging activities, promoting networking and knowledge sharing, is also encouraged.
Head - Data Analysis
Posted today
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Job Description
The Director of Data Analysis is responsible for collecting processing and analysing real estate data from various sources with the aim of providing accurate data-driven insights that support strategic decision-making in the real estate sector in United Arab Emirates. The role focuses on enhancing market transparency developing sector-wide performance indicators and supporting policy formulation and investment planning based on data.
Responsibilities
- Collecting and analyzing real estate data from multiple sources
- Processing and cleaning data to ensure its accuracy consistency and readiness for analysis
- Analyzing real estate data to extract and update the real estate index which enhances market transparency
- Preparing reports and dashboards to support strategic decision-making
- Developing sector performance indicators (e.g. price indices supply and demand occupancy rates etc.)
- Supporting policy development and investment planning by providing data-driven recommendations
- Contributing to real estate market studies and identifying market trends to support and update strategic urban development plans
- Collaborating with government entities and investors to provide transparent and accurate insights into the real estate market
Requirements
- Bachelors degree in Economics Statistics Business Administration Data Analysis or a related field.
- 5 years of experience in data analysis or market research with knowledge of the real estate market.
- Certifications in data analysis or economics are not required but are preferred
- Certifications in Data Analysis such as RICS or CF
Reporting Data Analyst
Posted today
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We are seeking a skilled professional to transform complex construction data into actionable insights. If you have a passion for data analysis and experience in the infrastructure or construction sector, this role is ideal for you.
About the Job:The Reporting Specialist will design and build interactive dashboards and reports using Power BI and other Microsoft Office tools (Excel, Access, etc.). The successful candidate will collect, clean, and organize data from different sources to ensure accuracy and reliability. They will develop data models and calculations to support reporting needs, provide regular and ad-hoc reports to management and project teams, and support users with training and troubleshooting for dashboards and reports. Additionally, they will document data sources, reporting processes, and user guides as needed.
Requirements:- Bachelor Degree/Diploma or proven experience in data analysis or reporting (any industry, construction/infrastructure preferred)
- Advanced Power BI skills: experience with Power Query and Power Automate is an advantage
- Proficiency in Microsoft Excel and other Office applications
- Previous experience developing reports or dashboards for business use
- Good understanding of project management, construction, or infrastructure sector preferred
- Strong communication skills; ability to explain data to non-technical users
- Opportunity to work with complex construction data and transform it into actionable insights
- Chance to develop and improve your data analysis and reporting skills
- Collaborative and dynamic work environment
- Ongoing training and support to enhance your skills