Sales Representative

Data Modeler

AI Lead

Product Specialist

Data Engineer

Account Manager

PwD Specialist

Tech Lead Power BI

Data Engineer Lead - Python and PySpark

Responsibilities: <ul><li>In this varied position, you will be responsible for maintaining existing customers as well as acquiring new customers in our target markets of tax consulting/SMEs.</li><li>By specifically identifying customer needs, you will ensure that productivity and profitability of customers are increased.</li><li>In close cooperation with our consulting team, you will motivate our customers to continuously develop their processes.</li><li>After the migration has been completed, you will take over the further support and advice of our customers.</li><li>Thanks to regular and close contact with customers, you will develop an understanding of their individual needs and be able to offer further suitable solutions in a targeted manner.</li><li>When our software is updated, you will analyze the existing customer base and identify upsell potential.</li></ul> Requirements: <ul><li>After completing a business administration degree or commercial training (e.g. as a tax clerk), you already have several years of experience in a comparable job in the software or a related industry.</li><li>You enjoy working intensively and long-term with customers, are loyal and know how to build sustainable and reliable business relationships.</li><li>You are familiar with social media channels and know how to use the networks profitably.</li><li>You love to communicate and enjoy being with your customers and prospects on site.</li><li>As a good team player (m/f/d) with a high sense of responsibility, you will nevertheless work independently and proceed methodically and pragmatically.</li></ul>

Responsibilities: <ul><li>Responsible for designing and implementing data modeling solutions using relational, dimensional, and NoSQL databases.&nbsp;</li><li>Working closely with data architects, to develop bespoke databases utilizing a mixture of conceptual, physical, and logical models</li><li>Implement best practices for data modeling, including normalization and de-normalization techniques.</li><li>Collaborate with cross-functional teams to understand data requirements and translate them into effective data models.</li><li>Perform data profiling and analysis to ensure data quality and integrity.</li><li>Optimize data models for performance and scalability.</li><li>Maintain and enhance existing data models to accommodate new data sources and business requirements.</li><li>Document data architecture, data dictionaries, and metadata standards.</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Systems, or a related field.</li><li>3-4 years of experience in data modeling roles, preferably in designing data warehouses.</li><li>Strong understanding of relational database concepts and experience with SQL.</li><li>Experience with data modeling tools (e.g., Erwin, ER/Studio, PowerDesigners).</li><li>Knowledge of normalized, de-normalized and dimensional data modeling techniques.</li><li>Familiarity with the travel industry or retail sector and related data structures is a plus.</li><li>Ability to communicate effectively with technical and non-technical stakeholders.</li><li>Strong analytical and problem-solving skills.</li></ul>

Responsibilities: AI Solution Development:&nbsp; <ul><li>Ability to translate business problems to AI problem statement, Ability to evaluate the need of AI &amp; optimal use of AI. Design and develop Gen AI applications and AI algorithms to address complex challenges across various domains.</li></ul> Data Analysis and Interpretation:&nbsp; <ul><li>Analyze large datasets to derive actionable insights and make data-driven decisions.</li></ul> Model Training and Optimization:&nbsp; <ul><li>Finetune LLM Models with custom data, continuously improve model performance through rigorous training and optimization processes.</li></ul> Collaborative Problem-Solving:&nbsp; <ul><li>Work closely with cross-functional teams to solve pressing challenges and enhance product capabilities.</li></ul> Strategic AI Implementation:&nbsp; <ul><li>Architect and scale AI solutions across the organization, ensuring alignment with business objectives.</li></ul> Leadership and Team Development:&nbsp; <ul><li>Mentor and lead a team of AI professionals, fostering a culture of innovation and continuous learning.</li></ul> Requirements: Educational Background:&nbsp; <ul><li>Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a closely related field.</li></ul> Technical Proficiency:&nbsp; <ul><li>Strong experience in programming languages like Python, Java, or C++ and familiarity with AI frameworks such as TensorFlow or PyTorch.</li></ul> Experience:&nbsp; <ul><li>At least 8-10 years of relevant experience in developing and implementing AI solutions.</li></ul> Analytical Skills:&nbsp; <ul><li>Proficient in using advanced data analytics tools and techniques to interpret complex datasets.</li></ul> Problem-Solving Abilities:&nbsp; <ul><li>Excellent problem-solving skills to devise innovative solutions and optimize AI algorithms.</li><li>&nbsp;Advanced Degree: Masters degree in a relevant field.</li><li>Specialized Knowledge: Deep understanding in NLP techniques, supervised and unsupervised machine learning, statistical modeling, and predictive analytics.</li><li>Industry Experience: Prior experience in the airline industry, particularly in roles focused on customer experience or digital transformation.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Previous work experience or personal experience in integrating LLMs into production applications or building LLM powered applications using LangChain or other frameworks.</li><li>Leadership Experience: Proven track record of successfully leading AI projects and teams, ability to work across teams – cross functional , knowledge of agile delivery</li><li>Continuous Learning: Commitment to staying updated with the latest advancements in AI and machine learning."</li></ul>

Responsibilities: <ul><li>Work with design and engineering teams to review product designs, suggest improvements, and oversee development</li><li>Engage with users to understand their needs and expectations, and help them determine which product is right for them</li><li>Monitor the product lifecycle</li><li>Represent the organization at symposia and congresses.</li><li>Develop business plans and product positioning in the marketplace</li></ul> Requirements: <ul><li>Advanced Degree: Masters degree in computer science, Artificial Intelligence, or a relevant field.</li><li>Educational Background: Bachelor’s degree in computer science, Artificial Intelligence, Data Science, or a related field.</li><li>Technical Skills: Proficiency in programming languages such as Python, Java, or C++, and familiarity with AI frameworks like TensorFlow or PyTorch.</li><li>Experience: Minimum 5-7 years of hands-on experience in developing and deploying AI products and solutions.</li><li>Analytical Abilities: Strong analytical skills with the ability to leverage advanced data analytics tools and techniques.</li><li>Problem-Solving Skills: Excellent problem-solving capabilities to devise innovative solutions and optimize AI algorithms for product enhancement.</li><li>Specialized Knowledge: Domain-specific knowledge relevant to the Airline or Travel Industries</li><li>Industry Experience: Previous experience in applying AI solutions within the specific industry, demonstrating a deep understanding of industry challenges and opportunities.</li><li>Cloud Experience: Experience with cloud platforms such as AWS, Azure, or GCP, preferably Azure.</li><li>LLM Application Integration: Familiarity with integrating Large Language Models (LLMs) into product applications or building LLM-powered applications.</li><li>Leadership Experience: Proven ability to lead and influence teams in AI product development projects.</li><li>Continuous Learning: Commitment to staying updated with advancements in AI and machine learning technologies.</li></ul>

Responsibilities: <ul><li>Design and implement scalable data pipelines and data warehouse solutions using Informatica PowerCenter.</li><li>Develop ETL processes to ingest data from various sources into the data warehouse.</li><li>Optimize and tune SQL queries for performance improvements.</li><li>Collaborate with cross-functional teams (e.g., Data Scientists, Analysts, Software Engineers) to understand data requirements and deliver solutions.</li><li>Ability to understand and integrate data sources based on different technologies like Streaming Data, Change Data Capture, APIs , Message Queues, Semi-structured(JSON,XML) and unstructured data.</li><li>Analyze raw data to determine optimal solutions for data processing and ingestions</li><li>Implement data quality and validation processes to ensure high data integrity and reliability.</li><li>Monitor and troubleshoot data pipeline issues and implement solutions in a timely manner.</li><li>Document technical designs, data mappings, and configuration management processes.</li></ul> Requirements: <ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field.</li><li>3-4 years of hands-on experience in data engineering roles.</li><li>Proficiency in Informatica Informatica IICS (ECDI, CDI CAI, Mass Ingestion etc) for designing and developing ETL workflows.</li><li>Strong SQL programming skills with experience in optimizing queries and database performance.</li><li>Experience working with large-scale data warehousing and data modeling concepts.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services is a plus.</li><li>Excellent problem-solving skills and ability to work independently as well as part of a team.</li><li>Strong communication skills and ability to collaborate effectively across teams.</li></ul>

The roleAre you commercial, do you want to see quick results and are you a hunter? Do you want to contribute to the growth of a dynamic organization in the B2B market? Then apply as Account Manager Inside Sales (New Business) You may remember us from your school books (the Bosatlas and the Collegebundel probably ring a bell), but today we are the indispensable knowledge partner for Legal, Tax and Public professionals. We offer up-to-date information, software and tools and provide innovative ways to make this information continuously available and accessible. We are making the transition to being a tech company “driven by knowledge”.&nbsp;Customers are increasingly opting for a remote account manager; always available and doing business faster. That is why you will play a crucial role in this role in further expanding our customer base by following up on warm leads (from marketing) and thus generating new business.&nbsp;What are you going to do?As an Account Manager Inside Sales (New Business) you are responsible for translating customer wishes and needs into solutions for prospects who ultimately need to become customers. You sell and advise a selection from the wide portfolio by telephone and via teams... In this way you help to further expand our Inside Sales organization. You will also work with 10 other colleagues from Deventer. In this dynamic position you are responsible for realizing your objectives (turnover, customer expansion and customer satisfaction) based on set targets. You do this mainly by having a lot of contact with your (potential) customers. Prospects you will call work as: Accountant, Lawyer, Tax specialist, Lawyer and Notary.&nbsp; Other tasks and responsibilities include: Portfolio renewal You proactively make proposals for the renewal and improvement of product portfolios based on identified developments at your prospects/customers and in order to increase your sales and turnover. Account management You create an account plan for your market. With this you work your market and prospects/customers. You have and take responsibility for the expansion and further development of your portfolio.&nbsp; Appointments and administration You keep the information you receive on the phone from your prospects/customers accurately, so that all administrative and (after)sales activities can be carried out by the Customer Service department. Think of order entry, invoicing and delivery.Who are you?You are commercially minded, have good communication skills and are an expert in (telephone) sales. You like to go the extra mile, because commerce is in your DNA. You only go home with satisfaction when you know that the prospect/customer is satisfied and you have satisfied them, resulting in you realizing personal goals and targets.Your resume also includes: <ul><li>HBO work and thinking level;</li><li>At least 3 years of work experience in a similar position;</li><li>Affinity with products and services is an advantage (for example experience with online and/or software sales or some basic knowledge of the tax or legal sector).</li></ul>Characteristic of the Inside Sales department is that a high degree of independence and professionalism is required and offered. A premium brand also requires a premium approach and experience of and by customers in the contacts they have with you. As an organization, we like to bind the best people to us and we also invest in that. Our goal is a long-term collaboration, both with our customers and our employees.What do we offer an Account Manager Inside Sales (New Business) ? <ul><li>A market-conform salary based on a 36-hour (full-time) working week;</li><li>8% holiday allowance + 4% PKB (Personal Choice Budget);</li><li>Company laptop and telephone;</li><li>An interesting bonus scheme, consisting of a fixed and variable part – up to 30% of the fixed salary;</li><li>Nice contribution to your pension (as an employer we contribute 2/3);</li><li>The possibility of hybrid working (we work 2 days a week at the office in Deventer);</li><li>We also offer opportunities for personal development and growth in the Netherlands and abroad.</li></ul>The location for this position is Deventer.

Overview: <ul><li>Monitors and evaluates the performance of the special needs center that the Company sponsors; provide metrics supporting key performance measures for these centers. Ensures high-quality, evidence-based practices adopted and implemented at the special needs’ centers including but not limited to: comprehensive evaluation and diagnosis, early intervention, Special education, Inclusive education and coordinating services; multidisciplinary therapeutic services, vocational and supported job programs’; and training and development of professional staff.</li><li>Provides expertise in training, program development, and evaluation in special education to special needs centers staff and operations; Provides effective supervision through advice and guidance on training, consultation, and evaluation to ensure a high standard of professional care, safeguarding and protecting the wellbeing of PwD students. Promotes and efficiently work with multidisciplinary PwD team settings.</li></ul> Responsibilities: <ul><li>Ensure special needs service is fit for purpose and meets international best practices.&nbsp;</li><li>Monitor and evaluate the performance of the special needs center; provide metrics supporting key performance measures.&nbsp;&nbsp;</li><li>Ensure high-quality, evidence-based practices including but not limited to: comprehensive evaluation and diagnosis, early intervention, Special education, Inclusive education and coordinating services; multidisciplinary therapeutic services, vocational and supported job programs’; and training and development of professional staff.</li><li>Provide expertise in training, program development, and evaluation in special education.</li><li>Provide effective supervision through advice and guidance on training, consultation, and evaluation to ensure a high standard of professional care, safeguarding and protecting the wellbeing of PwD students.&nbsp;</li><li>Promote and efficiently work with multidisciplinary PwD team settings.</li></ul> Requirements: <ul><li>Master’s degree in special education or rehabilitation specialty.&nbsp;</li><li>Five (5) years of experience facilitating evidence-based training modules and evaluating staff and student performance in accordance to benchmark in an academic and/or therapeutic setting for PwD children.</li></ul>

Job Details:Deliver guidelines for Power BI reports based on Direct QueryAchieve PBI Capacity stability to support IT Solutions and Community solutionsMigrate/remediate existing reports to adhere to issued guidelinesResponsibilities:Provide expertise on data visualization best practices and guide the selection of appropriate visuals for maximum impactMonitor and manage premium capacity metrics and proactively identify and resolve performance bottlenecksOptimize DAX queries for optimal performance and efficiencyCollaborate effectively with stakeholders from administrative perspectiveStay abreast of the latest Power BI features and functionalities to continuously improve reporting capabilitiesDesign and develop complex Power BI reports and dashboards using DirectQuery (minimal import), catering to diverse business needsBuild and maintain robust data models to ensure data consistency and integrity Requirements:Bachelor’s degree in computer science OR related technical degree OR equivalent experienceDirect Query and Capacity Management experienceStrong Power BI experience with GCP6+ years of experience in Business Intelligence and data analysis.3+ years of hands-on experience developing solutions using Power BI.Expert-level DAX knowledge with proven experience in optimizing complex queries.Proficiency in using DAX Studio, Tabular Editor, and Performance Analyzer for development and optimization.Strong understanding of data warehousing concepts and dimensional modeling.Excellent communication and stakeholder management skills.Experience with CI/CD for Power BI deployment pipelines.Experience with GCP: BigQuery, BI Engine & Looker

Role Details:Deliver guidelines for Power BI reports based on Direct QueryAchieve PBI Capacity stability to support IT Solutions and Community solutionsMigrate/remediate existing reports to adhere to issued guidelinesResponsibilities:Provide expertise on data visualization best practices and guide the selection of appropriate visuals for maximum impactMonitor and manage premium capacity metrics and proactively identify and resolve performance bottlenecksOptimize DAX queries for optimal performance and efficiencyCollaborate effectively with stakeholders from administrative perspectiveStay abreast of the latest Power BI features and functionalities to continuously improve reporting capabilitiesDesign and develop complex Power BI reports and dashboards using DirectQuery (minimal import), catering to diverse business needsBuild and maintain robust data models to ensure data consistency and integrity Requirements:Bachelor’s degree in computer science OR related technical degree OR equivalent experienceDirect Query and Capacity Management experienceStrong Power BI experience with GCP6+ years of experience in Business Intelligence and data analysis.3+ years of hands-on experience developing solutions using Power BI.Expert-level DAX knowledge with proven experience in optimizing complex queries.Proficiency in using DAX Studio, Tabular Editor, and Performance Analyzer for development and optimization.Strong understanding of data warehousing concepts and dimensional modeling.Excellent communication and stakeholder management skills.Experience with CI/CD for Power BI deployment pipelines.Experience with GCP: BigQuery, BI Engine & Looker

Responsibilities:Data Ingestion and Extraction:Develop and optimize data ingestion pipelines to efficiently extract data from various sources e.g. databases, APIs, files etc.Ensure data quality and integrity through robust validation and cleansing processesData Transformation and Processing:Design and implement data transformation logic using Python and PySpark to convert raw data into a suitable format for analysisOptimise data processing pipelines for performance and scalabilityData Storage and Management:Select and implement appropriate data storage solutions (cloud-based data warehouses, data lakes, etc.) based on data volume and complexityDevelop strategies for data retention, backup, and recoveryETL/ELT Development:Build and maintain efficient ETL/ELT processes to move data between different systems and platformsOptimize ETL/ELT pipelines for performance and cost-effectivenessCloud Infrastructure:Leverage cloud-based data engineering services (AWS, GCP, Azure) to build scalable and cost-efficient data solutionsManage and maintain cloud-based data infrastructureData Modeling and Optimization:Design and implement data models to support business intelligence and analyticsOptimize data structures and indexes for query performanceCollaboration and Communication:Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver actionable insightsEffectively communicate complex technical concepts to both technical and non-technical audiencesData Governance and Security:Implement data governance policies and procedures to ensure data quality, security, and complianceProtect sensitive data through appropriate security measuresRequirements:At least a bachelor’s degree in computer engineering, or equivalentAt least 10 years in Microservices, with at least 4 years of experience in data engineering and architecturePrevious work experiences in using major cloud platforms (AWS, Azure, GCP) and containerisation technologies (Docker, Kubernetes)Proficient in Python and PysparkProficient in SQL and database designKnowledge and understanding of data warehousing, data lakes and big data technologiesKnowledge of data modeling and ETL/ELT processesKnowledge of PostgreSQL and OracleStrong problem-solving and analytical skillsAble to work independently and as part of a teamLead and manage the development team including assigning tasks and monitoring progressPreferred Requirements:Experience in using data visualization tools e.g. Tableau, PowerBI

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99 technoeconomic modeling specialist Jobs found

Sales Representative

Data Modeler

AI Lead

Product Specialist

Data Engineer

Account Manager

PwD Specialist

Tech Lead Power BI

Tech Lead Power BI

Data Engineer Lead - Python and PySpark

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99 technoeconomic modeling specialist Jobs found

Sales Representative

Data Modeler

AI Lead

Product Specialist

Data Engineer

Account Manager

PwD Specialist

Tech Lead Power BI

Tech Lead Power BI

Data Engineer Lead - Python and PySpark

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