... market data-via SQL, Dataiku, APIs, and internal marts. • Create dashboards and analytical tools using Power BI, Plotly, and other visualisation frameworks. • Reverse-engineer existing ...
... market data-via SQL, Dataiku, APIs, and internal marts. • Create dashboards and analytical tools using Power BI, Plotly, and other visualisation frameworks. • Reverse-engineer existing ...
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Geneos, Opsview & ITRS Analytics (a data collection, storage, analytics platform, and a user‑centric application that enables the use and visualisation of data). * Work with Product, Engineering ...
DevOps Engineer (FDE)
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$150 - $200/hr
Geneos, Opsview & ITRS Analytics (a data collection, storage, analytics platform, and a user‑centric application that enables the use and visualisation of data). * Work with Product, Engineering ...
Solution Architect - Pricing Application Integration - Senior Associate
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$77K - $202K/yr
... analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support ...
Solution Architect - Pricing Application Integration - Senior Associate
Chicago, IL · On-site
$77K - $202K/yr
... analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support ...
Solution Architect - Pricing Application Integration - Senior Associate
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$77K - $202K/yr
... analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support ...
Solution Architect - Pricing Application Integration - Senior Associate
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$77K - $202K/yr
... analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support ...
... analysis of geographic data for various platforms - Observing and learning from experienced ... Data Science and Visualisation - Preferred cumulative GPA: 3.3 - Preferred major GPA: 3.3 - ...
... analysis of geographic data for various platforms - Observing and learning from experienced ... Data Science and Visualisation - Preferred cumulative GPA: 3.3 - Preferred major GPA: 3.3 - ...
... analysis of geographic data for various platforms - Observing and learning from experienced ... Data Science and Visualisation - Preferred cumulative GPA: 3.3 - Preferred major GPA: 3.3 - ...
... analysis of geographic data for various platforms - Observing and learning from experienced ... Data Science and Visualisation - Preferred cumulative GPA: 3.3 - Preferred major GPA: 3.3 - ...
DevOps Engineer (FDE)
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$140K - $170K/yr
Geneos, Opsview & ITRS Analytics (a data collection, storage, analytics platform, and a user-centric application that enables the use and visualisation of data). * Work with Product, Engineering ...
DevOps Engineer (FDE)
Chicago, IL · Hybrid
$140K - $170K/yr
Geneos, Opsview & ITRS Analytics (a data collection, storage, analytics platform, and a user-centric application that enables the use and visualisation of data). * Work with Product, Engineering ...
DevOps Engineer (FDE) Engineer
Chicago, IL · On-site
$150 - $200/hr
Geneos, Opsview & ITRS Analytics (a data collection, storage, analytics platform, and a user-centric application that enables the use and visualisation of data). * Work with Product, Engineering ...
DevOps Engineer (FDE) Engineer
Chicago, IL · On-site
$150 - $200/hr
Geneos, Opsview & ITRS Analytics (a data collection, storage, analytics platform, and a user-centric application that enables the use and visualisation of data). * Work with Product, Engineering ...
DevOps Engineer (FDE)
Chicago, IL · On-site
$140K - $170K/yr
Geneos, Opsview & ITRS Analytics (a data collection, storage, analytics platform, and a user-centric application that enables the use and visualisation of data). * Work with Product, Engineering ...
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DevOps Engineer (FDE)
Chicago, IL · On-site
$140K - $170K/yr
Geneos, Opsview & ITRS Analytics (a data collection, storage, analytics platform, and a user-centric application that enables the use and visualisation of data). * Work with Product, Engineering ...
DevOps Engineer (FDE)
Chicago, IL · On-site
$140K - $170K/yr
Geneos, Opsview & ITRS Analytics (a data collection, storage, analytics platform, and a user-centric application that enables the use and visualisation of data). * Work with Product, Engineering ...
DevOps Engineer (FDE)
Chicago, IL · On-site
$140K - $170K/yr
Geneos, Opsview & ITRS Analytics (a data collection, storage, analytics platform, and a user-centric application that enables the use and visualisation of data). * Work with Product, Engineering ...
DevOps Engineer (FDE)
Chicago, IL · Hybrid
$140K - $170K/yr
Geneos, Opsview & ITRS Analytics (a data collection, storage, analytics platform, and a user-centric application that enables the use and visualisation of data). * Work with Product, Engineering ...
DevOps Engineer (FDE)
Chicago, IL · Hybrid
$140K - $170K/yr
Geneos, Opsview & ITRS Analytics (a data collection, storage, analytics platform, and a user-centric application that enables the use and visualisation of data). * Work with Product, Engineering ...
Data Visualisation Analyst information
What does a data visualisation analyst do?
A Data Visualisation Analyst is responsible for transforming complex data sets into clear and visually engaging charts, graphs, and dashboards. They use specialized tools and software to help organizations understand trends, patterns, and insights from their data. By communicating findings visually, they enable stakeholders to make informed decisions quickly and effectively. Their role often involves collaborating with data scientists, business analysts, and decision-makers to ensure that visualizations meet business needs.
What are some common challenges data visualisation analysts face when presenting insights to non-technical stakeholders?
Data Visualisation Analysts often encounter the challenge of translating complex data findings into clear, actionable visuals that resonate with non-technical audiences. It can be difficult to strike the right balance between detail and simplicity, ensuring that key insights are not lost while avoiding overwhelming the audience. Effective communication and tailoring presentations to the audience's level of data familiarity are critical for success. Additionally, Analysts may need to address stakeholder questions on data sources or methodologies, so being prepared with accessible explanations is essential.
What are the key skills and qualifications needed to thrive as a data visualisation analyst, and why are they important?
To thrive as a Data Visualisation Analyst, you need strong analytical skills, proficiency in statistics, and a solid grasp of data interpretation, often supported by a degree in mathematics, computer science, or a related field. Expertise in visualization tools like Tableau, Power BI, and proficiency in SQL or Python are typically required. Attention to detail, creativity, and the ability to communicate complex information simply are standout soft skills in this role. These skills are crucial for transforming raw data into actionable insights and ensuring stakeholders can make informed, data-driven decisions.
What is the difference between Data Visualisation Analyst vs Data Analyst?
| Aspect | Data Visualisation Analyst | Data Analyst |
|---|---|---|
| Primary Focus | Creating visual representations of data to communicate insights | Analyzing data sets to identify trends and patterns |
| Skills & Tools | Data visualization tools (Tableau, Power BI), graphic design | Statistical analysis, SQL, Excel |
| Work Environment | Business intelligence teams, data departments | Data analysis teams, research departments |
| Certifications | Tableau Desktop Specialist, Power BI certifications | Google Data Analytics, Microsoft Certified Data Analyst |
While both roles involve working with data, a Data Visualisation Analyst primarily focuses on creating visual tools to communicate data insights effectively, whereas a Data Analyst concentrates on analyzing data to uncover trends and inform decision-making. The roles often overlap, but their core responsibilities differ in emphasis on visualization versus analysis.
IT - Principal Consultant | Energy Oil & Gas - Midstream | ETRM - Products
Chicago, IL • On-site
Spruce Infotech •
IT Services • 1 - 10 employees1 - 10 employees
Full-time
Re-posted 10 days ago
Job description
Job Title Front Office Analyst Developer - Trading Analytics Technology (Chicago)
Work Location & Reporting Address Chicago, IL 60606 **Hybrid work setup**
Vendor Rate XXX
Contract duration 12
Target Start Date 24 Mar 2026
Job Details:
Role Summary:
We are seeking an experienced Front Office Analyst Developer with at least 5+ years of trading-floor experience to act as the primary bridge between our commercial trading desks in Chicago (and Houston) and our global Trading Analytics Technology teams in London and Pune.
This role is critical in driving product adoption, supporting front-office analytics workflows, gathering user feedback, and ensuring our trading teams are equipped with the tools and training they need. You will combine strong analytical and engineering skills with excellent user interaction, product evangelism, and stakeholder management.
To maintain strong trading-floor presence, this is an office-based role Monday-Thursday every week.
Detailed Job Description
Key Responsibilities
User Enablement & Product Adoption
• Become a super-user of Trading Analytics technology products and platforms, with deep knowledge of their capabilities, limitations, and best-practice workflows.
• Deliver structured training, onboarding sessions, refreshers, and tailored coaching to Chicago and Houston users.
• Promote upcoming features, releases, and enhancements, ensuring the front office understands and adopts new capabilities.
• Serve as the first point of contact for high-touch trading workflows, escalating appropriately to global technology teams.
Front Office Analysis & Light Engineering
• Build small-scale analytical utilities and workflow enhancements using Python, Excel/VBA, and SQL.
• Pull, analyse, and visualise large data sets-including price, forward curves, fundamentals, and market data-via SQL, Dataiku, APIs, and internal marts.
• Create dashboards and analytical tools using Power BI, Plotly, and other visualisation frameworks.
• Reverse-engineer existing spreadsheet logic and help migrate critical workflows into more stable, maintainable solutions.
• Build lightweight integration utilities between local tools and global technology platforms and products.
Cross-Location Collaboration
• Act as Chicago's representative to global product teams in London and Pune, building a strong network of engineers, analysts, and product owners.
• Provide clear, structured feedback on user demand, pain points, and workflow gaps to influence the product roadmap.
• Participate in agile ceremonies-stand-ups, planning, refinement-to help translate user needs into actionable requirements.
• Document workflows, solution approaches, design sketches, and acceptance-criteria evidence.
Essential Experience & Skills
• 5+ years of hands-on trading-floor experience in analytics, risk, or front-office technology.
• Background in energy or commodities trading, with understanding of price data, curves, fundamentals, and market analytics.
• Strong working knowledge of Python (essential).
• Practical experience with Excel/VBA, SQL, and large-scale data sets.
• Experience with Power BI, Plotly, and ideally Dataiku.
• Familiarity with APIs, data pipelines, and integrating multiple data sources.
• Strong communication, relationship-building, and stakeholder management skills.
• Comfortable operating in a fast-paced front-office environment with frequent context switching.
• Degree in a quantitative or analytical discipline (e.g., Engineering, Maths, CS, Finance).
Desirable Skills
• Experience in commodity trading analytics, supply/demand modelling, or risk systems.
• Exposure to ETL concepts and workflow orchestration.
• Awareness of AWS, SQL Server, or cloud-based analytics platforms.
• Experience with Excel add-ins is useful but not required.
Personality & Working Style
• Empathetic communicator with strong rapport-building capability-trusted by traders and technologists alike.
• Curious, proactive, and solution-oriented with a strong sense of ownership.
• Thrives in a hybrid role spanning training, analysis, support, and light engineering.
• Confident representing Chicago's needs to global product groups.
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Data Analysis
Data Migration
Interview Process (Is face to face required?) Yes
Work Location & Reporting Address Chicago, IL 60606 **Hybrid work setup**
Vendor Rate XXX
Contract duration 12
Target Start Date 24 Mar 2026
Job Details:
Role Summary:
We are seeking an experienced Front Office Analyst Developer with at least 5+ years of trading-floor experience to act as the primary bridge between our commercial trading desks in Chicago (and Houston) and our global Trading Analytics Technology teams in London and Pune.
This role is critical in driving product adoption, supporting front-office analytics workflows, gathering user feedback, and ensuring our trading teams are equipped with the tools and training they need. You will combine strong analytical and engineering skills with excellent user interaction, product evangelism, and stakeholder management.
To maintain strong trading-floor presence, this is an office-based role Monday-Thursday every week.
Detailed Job Description
Key Responsibilities
User Enablement & Product Adoption
• Become a super-user of Trading Analytics technology products and platforms, with deep knowledge of their capabilities, limitations, and best-practice workflows.
• Deliver structured training, onboarding sessions, refreshers, and tailored coaching to Chicago and Houston users.
• Promote upcoming features, releases, and enhancements, ensuring the front office understands and adopts new capabilities.
• Serve as the first point of contact for high-touch trading workflows, escalating appropriately to global technology teams.
Front Office Analysis & Light Engineering
• Build small-scale analytical utilities and workflow enhancements using Python, Excel/VBA, and SQL.
• Pull, analyse, and visualise large data sets-including price, forward curves, fundamentals, and market data-via SQL, Dataiku, APIs, and internal marts.
• Create dashboards and analytical tools using Power BI, Plotly, and other visualisation frameworks.
• Reverse-engineer existing spreadsheet logic and help migrate critical workflows into more stable, maintainable solutions.
• Build lightweight integration utilities between local tools and global technology platforms and products.
Cross-Location Collaboration
• Act as Chicago's representative to global product teams in London and Pune, building a strong network of engineers, analysts, and product owners.
• Provide clear, structured feedback on user demand, pain points, and workflow gaps to influence the product roadmap.
• Participate in agile ceremonies-stand-ups, planning, refinement-to help translate user needs into actionable requirements.
• Document workflows, solution approaches, design sketches, and acceptance-criteria evidence.
Essential Experience & Skills
• 5+ years of hands-on trading-floor experience in analytics, risk, or front-office technology.
• Background in energy or commodities trading, with understanding of price data, curves, fundamentals, and market analytics.
• Strong working knowledge of Python (essential).
• Practical experience with Excel/VBA, SQL, and large-scale data sets.
• Experience with Power BI, Plotly, and ideally Dataiku.
• Familiarity with APIs, data pipelines, and integrating multiple data sources.
• Strong communication, relationship-building, and stakeholder management skills.
• Comfortable operating in a fast-paced front-office environment with frequent context switching.
• Degree in a quantitative or analytical discipline (e.g., Engineering, Maths, CS, Finance).
Desirable Skills
• Experience in commodity trading analytics, supply/demand modelling, or risk systems.
• Exposure to ETL concepts and workflow orchestration.
• Awareness of AWS, SQL Server, or cloud-based analytics platforms.
• Experience with Excel add-ins is useful but not required.
Personality & Working Style
• Empathetic communicator with strong rapport-building capability-trusted by traders and technologists alike.
• Curious, proactive, and solution-oriented with a strong sense of ownership.
• Thrives in a hybrid role spanning training, analysis, support, and light engineering.
• Confident representing Chicago's needs to global product groups.
Minimum years of experience
>10 years
Certifications Needed :No
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Data Analysis
Data Migration
Interview Process (Is face to face required?) Yes
About Spruce Infotech
Sourced by ZipRecruiter
Industry
It services
Company size
1 - 10 Employees
Headquarters location
Exton, PA, US
Year founded
2011