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bi developer ii

<div>
 
 
 Position Overview:
 
 
 
 
 
 
 The
 
 BI Developer II
 
 is responsible for managing and optimizing data systems using Microsoft SQL, Python and BI tools to deliver scalable, automated BI solutions. The role involves designing data models, maintaining reporting infrastructure, and translating business needs into actionable insights. Collaborates with cross-functional teams to support decision-making through efficient data delivery and analysis.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain ETLs, stored procedures, and database objects to support reporting and data analysis.
 </li>
 <li>
 Build and manage scalable data solutions across multiple platforms, ensuring data integrity and performance.
 </li>
 <li>
 Collaborate with business stakeholders to gather requirements and deliver actionable BI solutions using SQL and Power BI.
 </li>
 <li>
 Translate business needs into technical specifications for data warehouse design and reporting automation.
 </li>
 <li>
 Monitor and optimize data processes, automation, and reporting cycles to improve efficiency and accuracy.
 </li>
 <li>
 Maintain ticketing systems and ensure timely resolution of data-related requests in line with SLAs.
 </li>
 <li>
 Support continuous improvement initiatives by analyzing trends, identifying opportunities, and contributing to PSP/DMAIC sessions.
 </li>
 <li>
 Promote BI adoption and knowledge sharing across departments, acting as a strategic liaison between business and data teams.
 </li>
 </ul>
 
 
 
 
 
 Job Requirement:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Engineering, or a related technical field.
 </li>
 <li>
 Strong proficiency in
 
 MS SQL Server (2016+), including SQL Server Data Tools, query optimization, and indexing.
 
 </li>
 <li>
 Solid understanding of
 
 data architecture, database management (SQL/NoSQL), and cloud platforms (e.g., AWS, Azure).
 
 </li>
 <li>
 
 5 years and above experience in database analysis, reporting, and BI development using SQL, Power BI, and Excel,
 
 preferably in a call center or WFM environment.
 </li>
 <li>
 Strong hands-on experience with Microsoft SQL Server and data modeling concepts (e.g., star/snowflake schema, OLAP).
 </li>
 <li>
 Proficient in Microsoft Office; working knowledge of PowerApps and Flow is a plus.
 </li>
 <li>
 Practical experience with Python for data manipulation and automation.
 </li>
 </ul>
 
 
</div>

BI Developer II

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Scientist II
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges
 </li>
 <li>
 Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement
 </li>
 <li>
 Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact
 </li>
 <li>
 Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions
 </li>
 <li>
 Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 </ul>
 <ul>
 <li>
 2-4 years of experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports
 </li>
 <li>
 Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences
 </li>
 </ul>
</div>

Data Scientist II

APPIT Software Inc

<div>
 
 
 JOB description for Oracle Fusion Data Intelligent (FDI) Developer
 
 
 
 
 
 
 &bull; Minimum 5+ years&rsquo; experience from FDI as developer and overall 8+ Years experience from BI development
 
 
 &bull; Development and maintenance of Oracle Fusion Data Intelligent
 
 
 - building data models, reports and dashboards, end user training and support, manage data model, data pipelines, security and perform any customizations.
 
 
 &bull; Lead and own all technical aspects of FDI - ERP/HCM/SCM implementations and/or customizations including data migrations, data quality, systems integrations, 3rd-party applications, and custom development.
 
 
 &bull; Managing users, groups, application roles and data access in FDI environment, customizing as per business needs.
 
 
 &bull; Participation in each phase of FDI ERP/HCM/SCM modules (e.g., requirements gathering, planning-analysis-design, architect-build-deploy, support).
 
 
 &bull; Provide technical leadership, setting best practices (e.g., integration and application development, deployment, testing, iterative refinement).
 
 
 &bull; Define, communicate, and manage a change management (release) process to develop and implement new application/code and updates to existing application/code.
 
 
 &bull; Design and implement data models and schemas to support analytical reporting requirements.
 
 
 &bull; Implement and enforce security policies, access controls, and data privacy regulations within the Oracle Fusion Analytics data warehouse environment. Monitor user access and permissions to ensure compliance with organizational policies.
 
 
 &bull; Monitor and optimize the performance of the Oracle FDI, including database queries, data pipelines, and system resources. Identify and address performance bottlenecks and optimization opportunities.
 
 
 
</div>

Oracle Fusion Data Intelligent (FDI) Developer

Datamatics Technologies

<div>
 Job Title: Senior Reporting Analyst
 
 
 &nbsp;
 
 
 
 Job Purpose
 
 
 
 
 The
 
 Senior Reporting Analyst
 
 is responsible for developing, managing, and optimizing data visualizations and reports to support data-driven decision-making across the organization. This role primarily focuses on
 
 Power BI
 
 , with the flexibility to work on additional reporting platforms such as
 
 Metabase, Apache Superset
 
 , or similar tools.
 
 
 The position requires strong
 
 business data analysis
 
 capabilities and close collaboration with stakeholders to gather requirements, translate them into actionable insights, and ensure reporting solutions align with organizational objectives.
 
 
 
 
 Key Responsibilities
 
 
 1. Report Development &amp; Visualization
 <ul>
 <li>
 
 Design, develop, and optimize interactive dashboards and reports in
 
 Power BI
 
 
 </li>
 <li>
 
 Ensure data accuracy, usability, and adherence to visualization best practices
 
 </li>
 </ul>
 2. Cross-Platform Reporting Flexibility
 <ul>
 <li>
 
 Develop and maintain reports across multiple BI platforms (e.g.,
 
 Metabase, Apache Superset
 
 )
 
 </li>
 <li>
 
 Ensure consistency, quality, and standardization of reports across tools
 
 </li>
 </ul>
 3. Business Data Analysis &amp; Insights
 <ul>
 <li>
 
 Perform in-depth business data analysis to identify trends, insights, and opportunities
 
 </li>
 <li>
 
 Provide actionable recommendations to support informed decision-making
 
 </li>
 </ul>
 4. Requirement Gathering &amp; Stakeholder Collaboration
 <ul>
 <li>
 
 Collaborate with business stakeholders to understand reporting needs
 
 </li>
 <li>
 
 Translate business requirements into effective reporting and visualization solutions
 
 </li>
 </ul>
 5. Documentation &amp; Reporting Standards
 <ul>
 <li>
 
 Maintain clear documentation of reports, dashboards, data sources, calculations, and assumptions
 
 </li>
 <li>
 
 Ensure transparency, governance, and reproducibility of reporting assets
 
 </li>
 </ul>
 6. Performance Monitoring &amp; Optimization
 <ul>
 <li>
 
 Monitor and optimize report and dashboard performance
 
 </li>
 <li>
 
 Ensure scalability, responsiveness, and efficient data refresh across platforms
 
 </li>
 </ul>
 7. SQL Development
 <ul>
 <li>
 
 Design, write, and optimize complex
 
 SQL queries
 
 
 </li>
 <li>
 
 Support data extraction, transformation, and reporting requirements
 
 </li>
 </ul>
 8. Training &amp; Knowledge Sharing
 <ul>
 <li>
 
 Provide training and ongoing support to end-users
 
 </li>
 <li>
 
 Improve data literacy and adoption of Power BI and other reporting tools
 
 
 </li>
 </ul>
 
 
 Minimum Qualifications
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s degree in
 
 Business Administration, Information Systems
 
 , or a related field
 
 </li>
 <li>
 
 Master&rsquo;s degree or equivalent experience is preferred
 
 
 </li>
 </ul>
 
 
 Minimum Experience
 
 
 <ul>
 <li>
 
 
 5+ years
 
 of experience in
 
 data analysis, business intelligence, or reporting
 
 
 </li>
 <li>
 
 Strong focus on
 
 Power BI
 
 , with flexibility to work on other reporting platforms
 
 
 </li>
 </ul>
 
 
 Competencies (Knowledge, Skills, and Abilities)
 
 
 Power BI &amp; Cross-Platform Reporting
 <ul>
 <li>
 
 Advanced Power BI skills, including
 
 DAX
 
 and
 
 Power Query
 
 
 </li>
 <li>
 
 Ability to work across tools such as
 
 Metabase, Apache Superset
 
 , or similar platforms
 
 </li>
 </ul>
 SQL Expertise
 <ul>
 <li>
 
 Expert-level SQL skills for writing, optimizing, and troubleshooting complex queries
 
 </li>
 </ul>
 Semantic Layer Experience
 <ul>
 <li>
 
 Hands-on experience with semantic layers such as
 
 dbt, cube.dev
 
 , or similar tools
 
 </li>
 <li>
 
 Ability to ensure standardized metrics and consistent data definitions
 
 </li>
 </ul>
 Business Data Analysis
 <ul>
 <li>
 
 Strong analytical mindset with a focus on generating actionable business insights
 
 </li>
 </ul>
 Stakeholder Collaboration
 <ul>
 <li>
 
 Excellent communication skills to engage with both technical and non-technical stakeholders
 
 </li>
 </ul>
 Documentation &amp; Best Practices
 <ul>
 <li>
 
 Strong documentation skills for reporting processes, data sources, and calculations
 
 </li>
 </ul>
 Performance Optimization
 <ul>
 <li>
 
 Knowledge of monitoring and optimizing report performance and user experience
 
 </li>
 </ul>
 Training &amp; Support
 <ul>
 <li>
 
 Experience in training end-users and supporting adoption of BI tools
 
 </li>
 </ul>
</div>

Senior Reporting Analyst

<div>
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 Responsible for managing and optimizing data systems using Microsoft SQL, Python and BI tools to deliver scalable, automated BI solutions. The role involves designing data models, maintaining reporting infrastructure, and translating business needs into actionable insights. Collaborates with cross-functional teams to support decision-making through efficient data delivery and analysis.
 
 
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 A short paragraph summarizing the key role responsibilities.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and maintain ETLs, stored procedures, and database objects to support reporting and data analysis.
 </li>
 <li>
 Build and manage scalable data solutions across multiple platforms, ensuring data integrity and performance.
 </li>
 <li>
 Collaborate with business stakeholders to gather requirements and deliver actionable BI solutions using SQL and Power BI.
 </li>
 <li>
 Translate business needs into technical specifications for data warehouse design and reporting automation.
 </li>
 <li>
 Monitor and optimize data processes, automation, and reporting cycles to improve efficiency and accuracy.
 </li>
 <li>
 Maintain ticketing systems and ensure timely resolution of data-related requests in line with SLAs.
 </li>
 <li>
 Support continuous improvement initiatives by analyzing trends, identifying opportunities, and contributing to PSP/DMAIC sessions.
 </li>
 <li>
 Participate in agile teams, cross-functional meetings, and change management efforts to ensure smooth data operations.
 </li>
 <li>
 Promote BI adoption and knowledge sharing across departments, acting as a strategic liaison between business and data teams.
 </li>
 <li>
 Demonstrates strong collaboration skills and readily offers mentorship and support to team members when needed.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree (or in progress) in Computer Science, Data Science, Engineering, or a related technical field.
 </li>
 <li>
 Strong proficiency in MS SQL Server (2016+), including SQL Server Data Tools, query optimization, and indexing.
 </li>
 <li>
 Solid understanding of data architecture, database management (SQL/NoSQL), and cloud platforms (e.g., AWS, Azure).
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Advanced proficiency in Microsoft SQL Server, SSMS, and Power BI (including DAX).
 </li>
 <li>
 Experience with Python for data processing and automation.
 </li>
 <li>
 Solid understanding of data modeling (e.g., star/snowflake schema, OLAP) and statistical analysis.
 </li>
 <li>
 Strong communication skills and proficiency in English.
 </li>
 </ul>
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Experience with SSIS and SSAS.
 </li>
 <li>
 Knowledge of cloud data tools such as Azure Data Factory, Databricks, Google BigQuery, and DevOps.
 </li>
 <li>
 Understanding of RPA fundamentals.
 </li>
 <li>
 Experience with Visual Basic, Macros, PowerApps, and Flow.
 </li>
 </ul>
 
 
 
 
 
 
 
 Pay range and compensation package
 
 
 
 
 
 
 
 
 
 Pay range or salary or compensation.
 
 
 
 
 
 
 
 
 
 Equal Opportunity Statement
 
 
 
 
 
 
 
 
 
 Include a statement on commitment to diversity and inclusivity.
 
 
 
</div>

Business Intelligence Developer

Valeo

<div>
 Senior Business Intelligence Analyst
 
 
 Company:** Valeo Internal Automotive Software Egypt
 
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled and experienced Senior Business Intelligence Analyst to join our team at Valeo Internal Automotive Software Egypt. The successful candidate will be responsible for leveraging data to provide actionable insights, support strategic decision-making, and drive business growth within our innovative automotive software environment.
 
 
 Job Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain robust Business Intelligence (BI) solutions, including dashboards, reports, and data visualizations, to meet the evolving needs of various business units.
 </li>
 <li>
 Conduct in-depth data analysis to identify trends, patterns, and anomalies, providing clear and concise interpretations of complex datasets.
 </li>
 <li>
 Manage and optimize database systems, ensuring data integrity, security, and accessibility for BI initiatives.
 </li>
 <li>
 Implement and enforce data governance policies and procedures to maintain high-quality data standards across the organization.
 </li>
 <li>
 Perform advanced data mining techniques to uncover hidden insights and predictive patterns that inform business strategies.
 </li>
 <li>
 Develop and implement effective data modeling solutions to support efficient data storage and retrieval for analytical purposes.
 </li>
 <li>
 Collaborate with data science teams to integrate advanced analytical models and machine learning outputs into BI platforms.
 </li>
 <li>
 Create compelling and interactive data visualizations that effectively communicate key performance indicators (KPIs) and business insights to stakeholders at all levels.
 </li>
 <li>
 Design, build, and maintain enterprise-level Data Warehousing (DW) solutions, ensuring scalability and performance.
 </li>
 <li>
 Write and optimize complex Structured Query Language (SQL) queries to extract, transform, and load (ETL) data from various sources.
 </li>
 <li>
 Proactively identify opportunities for process improvement and data-driven automation within the BI landscape.
 </li>
 <li>
 Mentor junior analysts and contribute to the continuous improvement of the BI team's capabilities.
 
 
 </li>
 </ul>
 
 Job Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Information Systems, Statistics, Mathematics, or a related quantitative field.
 </li>
 <li>
 Minimum of 5 years of progressive experience as a Business Intelligence Analyst or in a similar data-focused role.
 </li>
 <li>
 Proven expertise in Business Intelligence (BI) tools and platforms (e.g., Tableau, Power BI, QlikView).
 </li>
 <li>
 Strong proficiency in Data Analysis methodologies and statistical techniques.
 </li>
 <li>
 Extensive experience with Database Management systems (e.g., SQL Server, Oracle, PostgreSQL) and database design principles.
 </li>
 <li>
 Demonstrated understanding and practical application of Data Governance best practices.
 </li>
 <li>
 Experience with Data Mining techniques and tools.
 </li>
 <li>
 Solid background in Data Modeling (dimensional modeling, star schema, snowflake schema).
 </li>
 <li>
 Familiarity with Data Science concepts and their application in a business context.
 </li>
 <li>
 Exceptional skills in Data Visualization, with a portfolio showcasing effective dashboards and reports.
 </li>
 <li>
 In-depth knowledge and hands-on experience with Data Warehousing (DW) concepts and implementation.
 </li>
 <li>
 Advanced proficiency in Structured Query Language (SQL) for data manipulation and analysis.
 </li>
 <li>
 Excellent analytical, problem-solving, and critical thinking skills.
 </li>
 <li>
 Strong communication and presentation skills, with the ability to translate complex data into actionable business insights for non-technical audiences.
 </li>
 <li>
 Ability to work independently and as part of a collaborative team in a fast-paced environment.
 </li>
 </ul>
</div>

Senior Business Intelligence Analyst, BI

<div>
 
 
 Position Overview
 
 
 
 
 
 
 Support the business with the design, evaluation, and implementation of BI requirements. Collaborate with stakeholders across all key departments and build a solid understanding of the systems and processes that drive the business. Essential to this role is the ability to understand the needs of a department and translate them to effective BI that can inform and drive business decision-making. Responsible for analyzing information requests, proposing, developing &amp; implementing automated solutions via Microsoft SQL and Power BI for information delivery as well as providing maintenance to current reports &amp; information processes.
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Work with PMs and Business Stakeholders to develop reporting solutions.
 
 
 &bull; Translate business requirements into clear and concise functional specifications for technical items.
 
 
 &bull; Interact with business stakeholders in order to promote &amp; expand knowledge of Business Intelligence.
 
 
 &bull; Translate business requirements into specifications that will be used to drive data warehouse and/or data mart design and configuration.
 
 
 &bull; Comply with 90% of the service level in ticket or request closures depending on the app in which the requirements are tracked.
 
 
 &bull; Attend recurrent &amp; ad-hoc internal &amp; external meetings, reviews, and presentations.
 
 
 &bull; Contribute PSP / DMAIC sessions with data and suggestions.
 
 
 &bull; Participate in optimization exercises as per Data Warehouse direction.
 
 
 &bull; Analysis of information in generated reports, ensuring the accuracy and consistency of data, as well as the need for on-time and multi-dimensional level reporting.
 
 
 &bull; Ensure proper data configuration and change controls are implemented.
 
 
 &bull; Synthesize current BI or trend data to support recommendations for action.
 
 
 &bull; Coordinate maintenance and updates of BI tools, databases, dashboards, or processes.
 
 
 &bull; Participate in agile teams and workgroups by contributing with data, facts, and suggestions, being positive and proactive and having a desire for applying continuous improvement processes.
 
 
 &bull; Act as strategic consultant and liaison between internal clients and Data Management
 
 
 &bull; Perform duties with moderate to low supervision.
 
 
 &bull; Analyzing and alerting various factors that impact the achievement of communication and effectiveness goals set by each Client.
 
 
 &bull; Attend recurrent training published by the Client/Company on a regular basis.
 
 
 &bull; Work closely with change management to minimize the impact of incidents related to changes.
 
 
 &bull; Be a true team member in Teleperformance&ndash;focused on the success of the company and the wellbeing of the team.
 
 
 &bull; Interaction with other departments in order to improve and maximize the project(s) results.
 
 
 &bull; Be an active part in the process of continuous improvement, proposing improvement and innovation methods across the department and the company (producing fresh and imaginative ideas and solutions).
 
 
 &bull; Act with initiative, make things happen.
 
 
 
 
 
 
 
 
 
 
 
 
 Required Qualifications Education and specific Training
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s Degree (at least in progress) preferably in a technical or engineering field.
 
 
 &bull; Desirable careers: Computer Science, MIS, Data Science, Programming, Business Analytics, and related careers.
 
 
 Work Experience
 
 
 &bull; 6 Months Experience in a Call Center Position, ideally WFM.
 
 
 &bull; 6 Months and above experience using Power BI.
 
 
 &bull; 6 Month Experience using SQL, MySQL or Oracle desirable.
 
 
 &bull; Advanced knowledge of Microsoft Office
 
 
 &bull; Working knowledge of Flow and PowerApps is highly desirable.
 
 
 &bull; Basic knowledge in any programming language.
 
 
 
 
 
 
 
 
 
 Soft Skills &amp; Other Requirements Technical Skills
 
 
 
 
 
 
 &bull; Strong communication skills and proficiency in English
 
 
 &bull; Advanced Excel level
 
 
 &bull; Power BI / DAX
 
 
 &bull; Microsoft SQL Server Management Studio
 
 
 &bull; Visual Basic and Macros desired.
 
 
 &bull; Basic knowledge of language oriented to objects preferred.
 
 
 &bull; Advance Statistical Knowledge
 
 
 Competencies and specific skills
 
 
 &bull; Analytical Ability
 
 
 &bull; Achievement Orientation
 
 
 &bull; Communication Skills
 
 
 &bull; Continuous Improvement Mindset
 
 
 &bull; Customer Orientation
 
 
 &bull; Initiative Customer
 
 
 &bull; Interpersonal Skills
 
 
 &bull; Learning Abilities
 
 
 &bull; Planning and Organization
 
 
 &bull; Problem Solving
 
 
 &bull; Teamwork
 
</div>

Business Intelligence Analyst

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