Lead AI/ML and Data Science Developer My client is seeking a top level experienced Senior AI/ML Developer and Data Scientist to join our team at the forefront of designing cutting-edge solutions in the Telcomms industry. End-to-end design, development, and deployment of AI/ML models, as well as implementing advanced data science techniques to solve complex problems and drive innovation. You will collaborate with stakeholders to understand business and technical requirements and translate them into scalable AI/ML and data-driven solutions. Responsibilities: Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. Perform feature engineering and selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Train, evaluate, and optimize models using machine learning and statistical techniques . Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Deploy models to production environments, ensuring robustness and scalability. Monitor model performance and define strategies for identifying drift; retrain or refine models as needed. Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. Lead and mentor junior team members. Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes. Qualifications: 5+ years of experience in AI/ML development and data science . Extremely strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (eg, TensorFlow, PyTorch) and data science libraries (eg, NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (eg, Matplotlib, Seaborn, Tableau). Ability to work totally independently and lead projects from inception to deployment. Experience with big data technologies (eg, Hadoop, Spark) and cloud platforms (eg, AWS, GCP, Azure) is desirable. MSc or PhD in Computer Science, Data Science, Artificial Intelligence. (Contract is outside IR35, requires 2-3 days on site in Hertfordshire per week) WA Consultants is an Employment Business and an Employment Agency as described within The Conduct of Employment Agencies and Employment Businesses Regulations 2003.
02/01/2025
Project-based
Lead AI/ML and Data Science Developer My client is seeking a top level experienced Senior AI/ML Developer and Data Scientist to join our team at the forefront of designing cutting-edge solutions in the Telcomms industry. End-to-end design, development, and deployment of AI/ML models, as well as implementing advanced data science techniques to solve complex problems and drive innovation. You will collaborate with stakeholders to understand business and technical requirements and translate them into scalable AI/ML and data-driven solutions. Responsibilities: Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. Perform feature engineering and selection to optimize model performance. Select and implement appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Train, evaluate, and optimize models using machine learning and statistical techniques . Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Deploy models to production environments, ensuring robustness and scalability. Monitor model performance and define strategies for identifying drift; retrain or refine models as needed. Collaborate with cross-functional teams to integrate AI/ML models with business applications and systems. Utilise predictive analytics, time series forecasting, and statistical models to drive business decision-making. Stay updated on the latest advancements in AI/ML and data science technologies. Lead and mentor junior team members. Develop and maintain comprehensive documentation for AI/ML pipelines, data workflows, and analytical processes. Qualifications: 5+ years of experience in AI/ML development and data science . Extremely strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (eg, TensorFlow, PyTorch) and data science libraries (eg, NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (eg, Matplotlib, Seaborn, Tableau). Ability to work totally independently and lead projects from inception to deployment. Experience with big data technologies (eg, Hadoop, Spark) and cloud platforms (eg, AWS, GCP, Azure) is desirable. MSc or PhD in Computer Science, Data Science, Artificial Intelligence. (Contract is outside IR35, requires 2-3 days on site in Hertfordshire per week) WA Consultants is an Employment Business and an Employment Agency as described within The Conduct of Employment Agencies and Employment Businesses Regulations 2003.
Head of Data Science & Engineering - Investment Banking/Front Office/AI/Analytics - Inside IR35 - London - £DOE Per Day Are you a proven leader in Data Science and Engineering with expertise in the Front Office of an investment bank? Can you define data strategies, engage with senior traders and quants, and deliver innovative solutions that drive trading and risk decisions? This is a unique opportunity to lead transformative data initiatives within a global financial institution. Key Responsibilities: Strategic Leadership: Define the data vision for the Front Office, enhancing trading, pricing, and risk workflows. Data Solutions Delivery: Build scalable, Real Time analytics platforms using Databricks, Azure, Spark, and Delta Lake. Stakeholder Engagement: Collaborate with senior traders and quants to deliver data-driven insights and strategies. AI Integration: Apply AI and machine learning to optimise trading and provide predictive analytics. Team Leadership: Mentor and lead data engineers and scientists, fostering technical excellence. Data Governance: Ensure robust data quality, governance, and compliance in high-stakes environments. Your Expertise: Front Office Experience: Extensive experience in investment banking with deep knowledge of trading workflows. Technical Mastery: Proficient in Databricks, Azure Data Factory, Python, Spark, and Delta Lake. Strategic Influence: Strong track record of engaging senior stakeholders and delivering impactful solutions. Advanced Analytics: Expertise in AI, machine learning, and Real Time data processing This is a fantastic opportunity to join a world class organisation at a critical time, make contact today to find out more. Paul
02/01/2025
Project-based
Head of Data Science & Engineering - Investment Banking/Front Office/AI/Analytics - Inside IR35 - London - £DOE Per Day Are you a proven leader in Data Science and Engineering with expertise in the Front Office of an investment bank? Can you define data strategies, engage with senior traders and quants, and deliver innovative solutions that drive trading and risk decisions? This is a unique opportunity to lead transformative data initiatives within a global financial institution. Key Responsibilities: Strategic Leadership: Define the data vision for the Front Office, enhancing trading, pricing, and risk workflows. Data Solutions Delivery: Build scalable, Real Time analytics platforms using Databricks, Azure, Spark, and Delta Lake. Stakeholder Engagement: Collaborate with senior traders and quants to deliver data-driven insights and strategies. AI Integration: Apply AI and machine learning to optimise trading and provide predictive analytics. Team Leadership: Mentor and lead data engineers and scientists, fostering technical excellence. Data Governance: Ensure robust data quality, governance, and compliance in high-stakes environments. Your Expertise: Front Office Experience: Extensive experience in investment banking with deep knowledge of trading workflows. Technical Mastery: Proficient in Databricks, Azure Data Factory, Python, Spark, and Delta Lake. Strategic Influence: Strong track record of engaging senior stakeholders and delivering impactful solutions. Advanced Analytics: Expertise in AI, machine learning, and Real Time data processing This is a fantastic opportunity to join a world class organisation at a critical time, make contact today to find out more. Paul
Python Developer - Hybrid working We are working with one of our world renowned clients who are looking to recruit an experienced Python Developer. Job Responsibilities: Develop robust ETL data pipelines for large scale data into SQL and NoSQL systems Maintain and optimize AWS RDS, S3, and other data storage systems Collaborate with data analysts and data scientists to implement analytics and ML models through AWS Implement CI/CD standards and tools Oversee the work of junior developers Plan, oversee, and implement sprint plans for multiple development efforts using Agile processes Work within an AWS ecosystem, leveraging cloud services for scalable applications Develop and maintain Python-based Back End services Drive code reviews and contribute to technical documentation About You: 5-7 years of experience in Python centric development Excellent proficiency in Python and common ML oriented packages Significant experience working with AWS PostgreSQL RDS, including database design, optimization, and management Significant experience with AWS services and cloud architecture Strong understanding of database technologies (SQL and NoSQL) Expertise in machine learning concepts and data visualization techniques Strong understanding of RESTful API design and implementation Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
02/01/2025
Full time
Python Developer - Hybrid working We are working with one of our world renowned clients who are looking to recruit an experienced Python Developer. Job Responsibilities: Develop robust ETL data pipelines for large scale data into SQL and NoSQL systems Maintain and optimize AWS RDS, S3, and other data storage systems Collaborate with data analysts and data scientists to implement analytics and ML models through AWS Implement CI/CD standards and tools Oversee the work of junior developers Plan, oversee, and implement sprint plans for multiple development efforts using Agile processes Work within an AWS ecosystem, leveraging cloud services for scalable applications Develop and maintain Python-based Back End services Drive code reviews and contribute to technical documentation About You: 5-7 years of experience in Python centric development Excellent proficiency in Python and common ML oriented packages Significant experience working with AWS PostgreSQL RDS, including database design, optimization, and management Significant experience with AWS services and cloud architecture Strong understanding of database technologies (SQL and NoSQL) Expertise in machine learning concepts and data visualization techniques Strong understanding of RESTful API design and implementation Due to the volume of applications received for positions, it will not be possible to respond to all applications and only applicants who are considered suitable for interview will be contacted. Proactive Appointments Limited operates as an employment agency and employment business and is an equal opportunities organisation We take our obligations to protect your personal data very seriously. Any information provided to us will be processed as detailed in our Privacy Notice, a copy of which can be found on our website
Spectrum IT Recruitment (South) Ltd
Portsmouth, Hampshire
Data Scientist As a brand new role for the business come and define this Data Scientist role! Develop, deploy and maintain accurate forecasting models that drive data-driven decision making for stock and demand planning for a Portsmouth based manufacturing company with global distribution. This role requires someone who can immerse themselves in the business, identifying and suggesting new data sources and innovative approaches to enhance forecasting models. Strong technical expertise in SQL, Python (including key libraries) and AWS SageMaker is essential, with flexibility to use R or other tools where suitable. Responsibilities: Forecasting Model Development: Data Management: Model Selection and Validation: Model Deployment and Maintenance: The successful Data Scientist will have Python and SQL for data analysis and machine learning. AWS SageMaker or other machine learning platforms. Ability to think strategically, suggest innovative data sources, and drive new ideas. Scenario-based modelling and complex "what if" analysis. Experience in manufacturing and/or stock and demand forecasting is highly advantageous. The role is based in Portsmouth and is paying a salary of £55,000 with excellent benefits including 28 days holiday, Bonus, Life Cover, pension and more. Apply now or contact Chris Lynes at Spectrum IT Recruitment for more information Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
02/01/2025
Full time
Data Scientist As a brand new role for the business come and define this Data Scientist role! Develop, deploy and maintain accurate forecasting models that drive data-driven decision making for stock and demand planning for a Portsmouth based manufacturing company with global distribution. This role requires someone who can immerse themselves in the business, identifying and suggesting new data sources and innovative approaches to enhance forecasting models. Strong technical expertise in SQL, Python (including key libraries) and AWS SageMaker is essential, with flexibility to use R or other tools where suitable. Responsibilities: Forecasting Model Development: Data Management: Model Selection and Validation: Model Deployment and Maintenance: The successful Data Scientist will have Python and SQL for data analysis and machine learning. AWS SageMaker or other machine learning platforms. Ability to think strategically, suggest innovative data sources, and drive new ideas. Scenario-based modelling and complex "what if" analysis. Experience in manufacturing and/or stock and demand forecasting is highly advantageous. The role is based in Portsmouth and is paying a salary of £55,000 with excellent benefits including 28 days holiday, Bonus, Life Cover, pension and more. Apply now or contact Chris Lynes at Spectrum IT Recruitment for more information Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.
Senior Platform Engineer - DV Cleared Up to £100,000 + Stock Options London, Hybrid (Must have active DV clearance) Would you be interested in joining a new Platform Engineering team for a self-funded scale-up that build and deliver Data Analytics products for government bodies? This data scale-up operate mainly within the public sector, helping government bodies that have vast swathes of data to make better use of it. They're looking to build a new team of Platform Engineers for a new longstanding secure government project, that involves working alongside data engineers and data scientists to manage, support and build the infrastructure. Tech stack, therefore, skills needed: Kubernetes or Openshift ELK Stack, ElasticSearch or Opensearch Linux CI/CD Nice to haves, but definitely not essential: Cloudera Hadoop Spark Kafka Hbase Hue Atlas Logistics: up to £100,000 base salary 30 days holiday + bank holidays Private health care Annual trips to see the northern lights! Location: Central London Please note, candidates MUST already have DV clearance, SC clearance alone doesn't meet the requirement. Apply now, or contact (see below) for more information We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age
02/01/2025
Full time
Senior Platform Engineer - DV Cleared Up to £100,000 + Stock Options London, Hybrid (Must have active DV clearance) Would you be interested in joining a new Platform Engineering team for a self-funded scale-up that build and deliver Data Analytics products for government bodies? This data scale-up operate mainly within the public sector, helping government bodies that have vast swathes of data to make better use of it. They're looking to build a new team of Platform Engineers for a new longstanding secure government project, that involves working alongside data engineers and data scientists to manage, support and build the infrastructure. Tech stack, therefore, skills needed: Kubernetes or Openshift ELK Stack, ElasticSearch or Opensearch Linux CI/CD Nice to haves, but definitely not essential: Cloudera Hadoop Spark Kafka Hbase Hue Atlas Logistics: up to £100,000 base salary 30 days holiday + bank holidays Private health care Annual trips to see the northern lights! Location: Central London Please note, candidates MUST already have DV clearance, SC clearance alone doesn't meet the requirement. Apply now, or contact (see below) for more information We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age
Lead Data Scientist - 18-month Contract - Abu Dhabi I am working with one of the major energy companies in the Middle-East, aiming to upskill with the introduction a Lead Data Scientist. My client can offer an unmatched remuneration as well as significant support for accommodation and an entirely tax-free income of course! As a Lead Data Scientist, you will spearhead advanced analytics initiatives, leveraging data-driven insights to optimise exploration, production, and operational efficiency. Your role involves building predictive models, deploying machine learning algorithms, and leading a team to solve complex challenges unique to the industry. Technical Responsibilities Data Strategy and Management: Define and implement data strategies to support exploration, drilling, and production business goals. Oversee data collection, cleaning, and integration from diverse sources (eg, seismic, production logs, IoT sensors, SCADA systems). Model Development and Deployment: Design and implement advanced machine learning models (eg, predictive maintenance, reservoir simulations, production optimisation). Technology Leadership: Lead the adoption of cloud-based data platforms (eg, Azure, AWS, Google Cloud) for scalable computation. Team Collaboration and Leadership: Mentor junior data scientists and engineers, fostering a culture of innovation and excellence. Tool and Technology Expertise: Expertise in Python, R, MATLAB, and SQL for statistical modelling and data analysis. Proficient in machine learning libraries (eg, TensorFlow, PyTorch, Scikit-learn) and big data tools (eg, Hadoop, Spark). Hands-on experience with visualisation tools like Power BI, Tableau, or D3.js. Familiarity with domain-specific software like Petrel, Schlumberger, or Halliburton's DecisionSpace. Lead Data Scientist - 18-month Contract - Abu Dhabi GCS is acting as an Employment Business in relation to this vacancy.
02/01/2025
Project-based
Lead Data Scientist - 18-month Contract - Abu Dhabi I am working with one of the major energy companies in the Middle-East, aiming to upskill with the introduction a Lead Data Scientist. My client can offer an unmatched remuneration as well as significant support for accommodation and an entirely tax-free income of course! As a Lead Data Scientist, you will spearhead advanced analytics initiatives, leveraging data-driven insights to optimise exploration, production, and operational efficiency. Your role involves building predictive models, deploying machine learning algorithms, and leading a team to solve complex challenges unique to the industry. Technical Responsibilities Data Strategy and Management: Define and implement data strategies to support exploration, drilling, and production business goals. Oversee data collection, cleaning, and integration from diverse sources (eg, seismic, production logs, IoT sensors, SCADA systems). Model Development and Deployment: Design and implement advanced machine learning models (eg, predictive maintenance, reservoir simulations, production optimisation). Technology Leadership: Lead the adoption of cloud-based data platforms (eg, Azure, AWS, Google Cloud) for scalable computation. Team Collaboration and Leadership: Mentor junior data scientists and engineers, fostering a culture of innovation and excellence. Tool and Technology Expertise: Expertise in Python, R, MATLAB, and SQL for statistical modelling and data analysis. Proficient in machine learning libraries (eg, TensorFlow, PyTorch, Scikit-learn) and big data tools (eg, Hadoop, Spark). Hands-on experience with visualisation tools like Power BI, Tableau, or D3.js. Familiarity with domain-specific software like Petrel, Schlumberger, or Halliburton's DecisionSpace. Lead Data Scientist - 18-month Contract - Abu Dhabi GCS is acting as an Employment Business in relation to this vacancy.
Front End Developer (Angular, HTML, CSS, JavaScript) London - Hybrid £70k - £95k Our client is a fast growth, Fintech/SaaS provider speiclizing in digitalizing FS and Asset Management services, they are seeking a talented Front End Developer with 8 years + experience ideally within SaaS or Fintech environments. As a Front End Developer, you will be responsible for designing and implementing user-friendly, responsive interfaces that support our business objectives. This role involves close collaboration with product managers, designers, and data scientists to transform complex data insights into interactive and aesthetically pleasing user experiences and websites. Key Responsibilities Front End Development: Implement interfaces using modern JavaScript frameworks (Angular preferred), ensuring smooth user interactions and visual consistency. UI Design: Create high-quality designs and wireframes that clearly illustrate how applications function and look. User Research and Testing: Conduct user research and usability testing to guide design decisions and enhance product features based on user feedback. Cross-Functional Collaboration: Work closely with product managers and developers to align design with functionality and optimize the user experience. Brand Consistency: Develop design standards and ensure that all UI elements are cohesive and in line with brand identity. Ideal Candidate Profile Required Skills & Experience Development Skills: Strong Front End development skills in Angular, HTML, CSS, JavaScript, and frameworks like React. UI Design Proficiency: At least 3 years of experience in UI design for digital products, with a portfolio showcasing your design capabilities. Analytical Mindset: Ability to translate user insights and feedback into practical, aesthetically pleasing design solutions. Communication: Excellent communication skills, with the ability to work collaboratively and explain design concepts to non-design team members. Detail-Oriented: A high standard for design aesthetics, ensuring pixel-perfect implementation. Preferred Experience Familiarity with data visualization techniques, libraries, or tools for presenting complex information intuitively. Understanding of accessibility standards and responsive design best practices. Knowledge of DevOps tools like Docker, NGINX, or AWS, and experience working in Agile development environments.
02/01/2025
Full time
Front End Developer (Angular, HTML, CSS, JavaScript) London - Hybrid £70k - £95k Our client is a fast growth, Fintech/SaaS provider speiclizing in digitalizing FS and Asset Management services, they are seeking a talented Front End Developer with 8 years + experience ideally within SaaS or Fintech environments. As a Front End Developer, you will be responsible for designing and implementing user-friendly, responsive interfaces that support our business objectives. This role involves close collaboration with product managers, designers, and data scientists to transform complex data insights into interactive and aesthetically pleasing user experiences and websites. Key Responsibilities Front End Development: Implement interfaces using modern JavaScript frameworks (Angular preferred), ensuring smooth user interactions and visual consistency. UI Design: Create high-quality designs and wireframes that clearly illustrate how applications function and look. User Research and Testing: Conduct user research and usability testing to guide design decisions and enhance product features based on user feedback. Cross-Functional Collaboration: Work closely with product managers and developers to align design with functionality and optimize the user experience. Brand Consistency: Develop design standards and ensure that all UI elements are cohesive and in line with brand identity. Ideal Candidate Profile Required Skills & Experience Development Skills: Strong Front End development skills in Angular, HTML, CSS, JavaScript, and frameworks like React. UI Design Proficiency: At least 3 years of experience in UI design for digital products, with a portfolio showcasing your design capabilities. Analytical Mindset: Ability to translate user insights and feedback into practical, aesthetically pleasing design solutions. Communication: Excellent communication skills, with the ability to work collaboratively and explain design concepts to non-design team members. Detail-Oriented: A high standard for design aesthetics, ensuring pixel-perfect implementation. Preferred Experience Familiarity with data visualization techniques, libraries, or tools for presenting complex information intuitively. Understanding of accessibility standards and responsive design best practices. Knowledge of DevOps tools like Docker, NGINX, or AWS, and experience working in Agile development environments.
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
02/01/2025
Full time
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
16/12/2024
Full time
NO SPONSORSHIP Associate Principal, Data Analytics Engineering SALARY: $110k flex plus 10% bonus LOCATION: Chicago, IL Hybrid 3 days in office and 2 days remote You will be expanding analytics capabilities to design and build internal analytics within data warehouse using on-premises and cloud-based tools. You will create dashboards or visualization using the tools tableau powerBI SQL Queries Alteryx Jira services now. GIT a big plus, AWS or loud data warehouse airflow bs degree masters preferred this is working for operational risk 5 years experience building dashboards any audit risk knowledge is a plus This role will drive a team responsible for expanding analytics capabilities by making internal corporate data accessible and usable to analysts throughout the organization. Primary Duties and Responsibilities: Work closely with data analyst and business stakeholders to understand their data needs and provide support in data access, data preparation, and ad hoc queries Automate data processes to reduce manual interventions, improve data processing efficiency and optimize data workflow for performance scalability Integrate data form multiple sources and ensure data consistency and quality Build data models to ensure information is available in our analytics warehouse for downstream uses, such as analysis and create dashboards or visualizations using Tableau, Power BI to present insights Maintain performance requirements of our analytics warehouse by tuning optimizations and processes Create documentation and testing to ensure data is accurate and easily understandable Promote self-service capabilities and data literacy for business users leveraging the platform through development of training presentations and resources Discover and share best practices for data and analytics engineering with members of the team Invest in your continued learning on data and analytics engineering best practices and evaluate them for fit in improving maintainability and reliability of analytics infrastructure Qualifications: Ability to collaborate with multiple partners (eg, Corporate Risk, Compliance, Audit, Production Operations, DBAs, Data Architecture, Security) to craft solutions that align business goals with internal security and development standards Ability to communicate technical concepts to audiences with varying levels of technical background and synthesize non-technical requests into technical output Comfortable supporting business analysts on high-priority projects. High attention to detail and ability to think structurally about a solution Experience working within an agile environment Technical Skills & Background Ability to write and optimize complex analytical (SELECT) SQL queries Experience with data viz/prep tools Tableau and Alteryx [Preferred] Experience with SaaS tools and their backends, such as Jira and ServiceNow [Preferred] Applied knowledge of Python for writing custom pipeline code (virtual environments, functional programming, and unit testing) [Preferred] Experience with a source code repository system (preferably Git) [Preferred] Familiarity with at least one cloud data platform, such as AWS or GCP [Preferred] Experience creating and/or maintaining a cloud data warehouse or database [Preferred] Exposure to data orchestration tools, such as Airflow [Preferred] Understanding of applied statistics and hands-on experience applying these concepts Bachelor's degree in quantitative discipline (eg, Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering) or equivalent professional experience 5+ years of experience as a business analyst, data analyst, data engineer, research analyst, data engineer, analytics engineer, Business Intelligence analyst, data analyst, data scientist, or research analyst
