Data Society

About Data Society Group At Data Society Group, we provide the highest quality, leading-edge, industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. Our portfolio of brands and services sits at the intersection of people, data, and AI and consists of: - CDO Magazine, the trusted voice of global data and AI leadership - The Data Lodge, a pioneer in data literacy and cultural transformation - Data Society, delivering applied AI education and custom-built solutions - InspiredMinds!, a convening force behind the world’s most inclusive AI community We are working to empower the workforces of the future; if you’re as passionate about transforming workplaces with the power of Data & AI as we are, we’d love to hear from you! About the Role The Data Engineer is responsible for building scalable, performant data pipelines that power critical operational and analytical applications. The engineer must be able to work closely with our data science teams to build the supporting data scaffolding to orchestrate, test, and monitor data systems. This is a customer-facing role within a cross-functional team so the ability to manage timelines, work both autonomously and collaboratively, and communicate effectively are a must. As this position will help to support federal contracts with security requirements, you must be a US Citizen to qualify. Occasional travel to client offices in Richmond, VA will be required, and preference will be given to local DMV area candidates. This is a full-time, remote/work from home, benefits eligible position. Responsibilities: - Ability to build a full data pipeline from data ingestion to processing/transformation to load to visualization and analysis. - Design and manage large-scale data warehouses, lakehouses, and/or data marts - Build and optimize data transformation pipelines using tools like dbt to support data flow from ingestion through analytics - Champion data governance principles and quality standards, ensuring data lineage, documentation, and metadata are maintained - Create efficient, performant SQL-based data queries and Python-based data processing jobs - Demonstrate ability to balance computational load, performance, and cost Skills you bring: - Advanced Degree in Statistics, Applied Mathematics, Data Science, Computer Science, Operations Research or other closely related other quantitative or mathematical disciplines. - 5+ years of data and analytics engineering in cloud environments - Expertise in SQL, Python, and schema design with experience in data cataloging and governance tools - Experienced with data transformation and ETL best practices - Experienced with data orchestration tools like Airflow, transformation frameworks like dbt, and cloud deployment tools like Terraform. - Demonstrated exceptional oral and written communication skills. - The ability to work independently and in a team environment. - The ability to work effectively across functions, levels and disciplines. - Strong problem solving and critical thinking skills. - Superior team-working skills, and a desire to learn, contribute, and explore. - Experience with Snowflake, Databricks, Kafka, Flume, Spark, or Flink is a plus Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.

We Are: At Data Society Group, we provide the highest quality, leading-edge, industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforce with the skills they need to achieve their goals and expand their impact. Data Society Group publishes CDO Magazine, the preeminent global publication for Data Officers. Our executive boards include industry leaders, engineers, and data scientists from across the world. We are empowering the workforce of the future, from data literacy for all employees to support for data engineers and data scientists to train up on the most complex AI solutions and Machine Learning skills. About the Role: We are seeking an experienced AI Subject Matter Expert (SME) / Instructor to deliver engaging, hands-on virtual instruction in modern full-stack development and AI-assisted coding workflows. This role is ideal for practitioners who are actively building applications and are equally passionate about designing and developing high-quality technical training content. You will help shape both what is taught and how it is taught, creating impactful learning experiences that prepare professionals to work effectively with modern development stacks and AI-powered tools. As an independent contractor, you’ll enjoy the flexibility to teach subjects you’re passionate about while being supported by a collaborative and communicative team. Your role is not just to instruct, but to inspire—creating a positive and supportive learning environment where learners leave empowered and ready to act. Key Responsibilities: - Design, develop, and continuously improve course materials, including slide decks, labs, exercises, and assessments - Translate real-world development workflows into structured, learner-friendly content - Deliver high-quality, live instruction on full-stack JavaScript/TypeScript development and AI-assisted coding practices - Guide learners through hands-on exercises building real-world applications - Demonstrate best practices for integrating AI tools into the software development lifecycle - Collaborate with internal teams to refine curriculum based on learner feedback and evolving industry trends - Mentor learners and provide technical support throughout the training experience What You Bring: We are looking for a practitioner-educator who is as skilled at writing code as they are at facilitating impactful learning sessions. The ideal candidate possesses the following attributes: - The ability to convert complex, real-world technical workflows into educational content that is both structured and scalable. - A proactive commitment to staying updated on the latest advancements in AI development tools and industry methodologies. - A teaching style characterized by clarity, high energy, and the flexibility to thrive in live, interactive instructional settings. Minimum Qualifications: - Production-level experience building full-stack applications using: - JavaScript and TypeScript - Backend frameworks such as Node.js/Express or Next.js - Frontend frameworks such as React - Proven experience developing technical training content or curricula, including hands-on labs and project-based learning - Ability to break down complex technical concepts into clear, structured, and engaging instructional materials - Active, real-world use of AI coding assistants, such as GitHub Copilot or Cursor, within IDEs like VS Code - Experience incorporating AI tools into day-to-day development workflows (e.g., code generation, debugging, refactoring) - Working knowledge of prompt engineering techniques, including: - Chain-of-thought prompting - Few-shot prompting - Contract-first prompting - Hands-on experience configuring and working with MCP server connections in VS Code - Strong communication and facilitation skills Preferred Qualifications - Familiarity with Figma, including Dev Mode and component inspection - Experience delivering training to professional, enterprise, or government audiences - Background in instructional design, adult learning principles, or curriculum development frameworks

• Draft, review, and negotiate agreements, including Grant agreements, Service Level Agreements, Token agreements, and Terms & Conditions for online platforms and rewards programs. • Advise on Swiss and international (EU, US) crypto, fintech, and financial regulations. • Manage and maintain compliance with SRO memberships and AML regulations. • Develop, review, and maintain internal compliance policies (AML/KYC, data privacy, conflict of interest, internal controls, etc.). • Liaise with regulators, auditors, and external legal advisors where needed. • Support internal governance frameworks, including policy creation and regular updates. • Assess and manage legal and regulatory risks aligned with business objectives and the risk profile of the crypto industry. • Conduct regulatory research and provide concise internal guidance.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Sr. Data Analyst, you will leverage data and visual analytics to provide actionable insights and strategic solutions for our clients. In this role, you will: - Design technical solutions and develop robust data storage architectures. - Conduct rigorous testing to ensure the reliability of enterprise-level dashboards and reports. - Primarily support an external project within the public sector, with potential contributions to internal initiatives at DSG. - Utilize a solid grasp of the business technology landscape and create high-impact visualizations. - Master SQL for effective data manipulation. This is a remote (work from home) position that can be based anywhere in the United States with occasional travel to client sites in Washington, DC. Due to the nature of our clients in the federal government, you must be able to obtain and maintain a public trust clearance (i.e. must be a US Citizen or Permanent Resident who has resided in the US for the past three years consecutively). Responsibilities - Dashboard Development: Design, develop, and maintain interactive, high-performance dashboards using Tableau. Experience with other industry-standard BI tools (e.g., Power BI, Looker, or Sigma) is a strong plus. - Requirements Gathering: Collaborate with cross-functional teams and stakeholders to translate complex business needs into technical data requirements. - Data Modeling: Design and implement scalable data models and ETL processes using SQL to prepare diverse datasets for analysis. - Visual Storytelling: Create compelling charts, graphs, and infographics that simplify complex trends and drive data-informed decision-making. - Quality Assurance: Troubleshoot reporting issues, perform root-cause analysis on data discrepancies, and ensure total data integrity. - Continuous Improvement: Stay current on emerging BI trends, tool updates, and best practices to enhance DSG’s reporting capabilities. Qualifications - 5+ years of professional experience in BI development, dashboard design, and data visualization, using Tableau and at least one other platform. - Proven mastery of Tableau and at least one other major visualization platform (Power BI or Looker) with the ability to adapt to new tools as project needs evolve. - 5+ years of experience using SQL for cleaning, transforming, and performing complex calculations on large, disparate datasets. - Expertise in advanced BI concepts such as complex calculations (LODs/DAX), data blending, parameter actions, and performance tuning for large-scale deployments. - Experience working with cloud data warehouses (e.g., Redshift, Snowflake, or BigQuery). - Experience working within Agile/Scrum environments. - Knowledge of ETL/ELT tools (e.g., dbt) and modern data transformation methodologies. - Experience integrating BI tools with APIs, cloud platforms, and third-party data sources. Preferences - Familiarity with Python or R for advanced data analytics and automation. - Knowledge of cloud ecosystems (AWS preferred) and their native data services. - Understanding of machine learning, predictive modeling, or statistical analysis. - Specific experience in performance tuning SQL queries and dashboard load times for enterprise-level use. - Experience working with the federal government on data visualization or analytics projects. Requirements - U.S. work authorization required. - Ability to obtain and maintain a public trust clearance (i.e. must be a US Citizen or Permanent Resident who has resided in the US for the past three years consecutively).

About Data Society Group At Data Society Group, we provide the highest quality, leading-edge, industry-tailored data and AI training and solutions for Fortune 1,000 companies and federal, state, and local governmental organizations. We partner with our clients to educate, equip, and empower their workforces with the skills they need to achieve their goals and expand their impact. Our portfolio of brands and services sits at the intersection of people, data, and AI and consists of: - CDO Magazine, the trusted voice of global data and AI leadership - The Data Lodge, a pioneer in data literacy and cultural transformation - Data Society, delivering applied AI education and custom-built solutions - InspiredMinds!, a convening force behind the world’s most inclusive AI community We are working to empower the workforces of the future; if you’re as passionate about transforming workplaces with the power of Data & AI as we are, we’d love to hear from you! Role Overview As a Business Intelligence Developer mainly focused on Tableau, you will use data and visual analytics to provide valuable insights and solutions to our clients. Your tasks include creating technical solutions, developing data storage tools, and conducting rigorous testing to ensure the reliability of Tableau dashboards and reports. To excel in this role, you should have a solid understanding of the business technology landscape, the ability to create impactful reports, and strong analytical and SQL skills. While you will mainly work on a team supporting an external project for a client in the public sector, you may also support projects internal to the company. This is a remote (work from home) position based anywhere in the United States with occasional travel to client sites in Washington, DC. Due to the nature of our clients in the federal government, you must be able to obtain and maintain a public trust clearance (i.e. must be a US Citizen or Permanent Resident who has resided in the US for the past three years consecutively). Responsibilities - Develop and maintain interactive and visually appealing Tableau dashboards and reports. - Collaborate with cross-functional teams to gather and analyze data requirements. - Design and implement data models and ETL processes using SQL to prepare data for analysis in Tableau. - Create data visualizations, charts, and graphs to communicate insights and trends. - Troubleshoot issues with Tableau reports and ensure data accuracy and integrity. - Keep up-to-date with Tableau best practices, updates, and new features to enhance reporting capabilities. Requirements - 5+ years of experience in Tableau development, dashboard design, and data visualization. - 5+ years of experience in SQL for cleaning, transforming, and performing complex calculations on large datasets. - Expertise in advanced Tableau features, including LOD expressions, table calculations, data blending, and performance tuning. - Experience working with data warehouses (Redshift preferred). - Experience working in Agile/Scrum environments. - Knowledge of ETL tools (dbt preferred) and data transformation methodologies. - Experience integrating Tableau with APIs, cloud platforms, and third-party data sources. - Strong analytical skills and ability to communicate data-driven insights effectively. Preferences - Familiarity with Python or R for data analytics. - Knowledge of cloud platforms (AWS preferred) and their data services. - Understanding of machine learning and predictive analytics (a plus). - Experience in performance tuning of SQL queries and Tableau dashboards for enterprise use. - Experience working with the federal government on data visualization or analytics projects. - U.S. work authorization required. - Ability to obtain and maintain a public trust clearance (i.e. must be a US Citizen or Permanent Resident who has resided in the US for the past three years consecutively).

• Design and develop Power BI reports and dashboards that provide meaningful insights and support decision-making • Conduct deep-dive analyses using Snowflake SQL and BI tools to identify trends, patterns, and actionable insights • Build, enhance, and maintain interactive Power BI dashboards, ensuring performance, usability, and consistency • Support ETL processes and data pipelines within Azure to ensure reliable, well-structured data for reporting and analytics • Work closely with Azure data services, including the data lake, to understand data ingestion, storage, and transformations • Create and maintain ERDs and data dictionaries to document data structures, relationships, and business definitions • Serve as an expert in gathering actionable requirements and executing against them in an agile environment • Support data governance, cataloging, lineage, and metadata management • Collaborate closely with business stakeholders to gather requirements, understand reporting needs, and translate them into effective data solutions • Become deeply familiar with all relevant data sources used in projects, including where data is stored, associated data dictionaries, and dependencies • Investigate and assess existing reports with the ability to convert them into Power BI dashboards or enhance them as needed • Define and develop metrics to measure operational health and excellence across organizations and initiatives • Maintain and improve the integrity and reliability of internal and external data sources; collaborate with stakeholders to capture additional data and ensure accuracy and consistency • Regularly prepare reports and presentations that summarize findings, provide actionable insights, and track the impact of implemented strategies • Effectively communicate insights and recommendations to influence decision-making and drive growth

• Support the Sales team in meeting and exceeding sales targets across Data Society’s training, advisory, and solutions services. • Research and identify target organizations and qualify prospects, such as learning, data, AI, and business leaders, based on defined criteria. • Tailor sales collateral such as presentations, one-pagers, and other materials highlighting Data Society’s capabilities for specific audiences. • Contribute to proposals, RFP responses, statements of work, and related documentation based on client requirements. • Support coordination with technical team members to validate proposal language. • Track activity and outcomes in CRM or shared tools. • Maintain and enhance documentation of past proposals, projects, and outcomes. • Assist with administrative tasks, such as scheduling, documentation, and research, as needed.

• Design and develop Power BI reports and dashboards that provide meaningful insights and support decision-making • Conduct deep-dive analyses using Snowflake SQL and BI tools to identify trends, patterns, and actionable insights • Build, enhance, and maintain interactive Power BI dashboards, ensuring performance, usability, and consistency • Support ETL processes and data pipelines within Azure to ensure reliable, well-structured data for reporting and analytics • Work closely with Azure data services, including the data lake, to understand data ingestion, storage, and transformations • Create and maintain ERDs and data dictionaries to document data structures, relationships, and business definitions • Serve as an expert in gathering actionable requirements and executing against them in an agile environment • Support data governance, cataloging, lineage, and metadata management • Collaborate closely with business stakeholders to gather requirements, understand reporting needs, and translate them into effective data solutions • Investigate and assess existing reports with the ability to convert them into Power BI dashboards or enhance them as needed • Define and develop metrics to measure operational health and excellence across organizations and initiatives • Maintain and improve the integrity and reliability of internal and external data sources; collaborate with stakeholders to capture additional data and ensure accuracy and consistency • Regularly prepare reports and presentations that summarize findings, provide actionable insights, and track the impact of implemented strategies • Effectively communicate insights and recommendations to influence decision-making and drive growth