Job Summary:

This position will work with cutting edge technology, deliver high quality solutions across various industries, and collaborate with teams on engagements that range in size and scope. This position will receive continuous career development opportunities, given the size and potential of client engagements. This role will perform hands-on delivery management of data analytics projects, contributing to the development and unit testing of solutions. (note that this position will also require design of architecture and development of components where needed). This position owns consulting relationships multiple clients and technologies.

The Experienced Senior, Data & AI is a client facing role where hands on experience designing, building, and deploying data visualization solutions is on platforms such as Power BI, Tableau, and others are required. A successful candidate has a passion for consulting with our clients to understand their needs, visual storytelling, and aggregating disparate data from SQL and cloud-based data platforms to convey new business insights. This position brings and maintains in-depth knowledge on visual design and data modeling best practices within visualization tools, performance tuning, and deployment strategies, as well as how to leverage the wide range of data analytics solutions within cloud platforms such as Microsoft Azure or AWS. 

Job Duties:

Designs and implements actionable data visualization solutions, semantic layers and models, and visualization of streaming data, for end-to-end data analytics solutions on primarily, but not limited to, cloud analytics platforms such as Azure and AWS Explores large data sets and relational databases, perform analyses, and identify unique storytelling opportunities. Creates effective and compelling “art of the possible” presentations to help describe the business value of solutions  Builds visualizations that take complex information and make it more accessible, understandable, and usable to derive insights and enable better business decisions Listens to client needs to align solution with business requirements, availability of data, and business prioritization Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency) Implements programs and best practices to ensure data literacy and maturity within organizations Creates written functional, architectural, and technical designs  Creates prototypes to convey if functional requirements are directionally accurate before scalable implementation Participates in project status and stand meetings, and assists with providing aggregated project status for project and program managers Assists with SLA compliance of solutions, and performs performance tuning and optimization of solutions Takes branding standards and creates intentional design choices, color palette, and user experience standards. Chooses appropriate locations for objects with intent, utilizes fonts and colors to design easily consumable data assets  Implements modern data visualization methodologies and maintains an up-to-date knowledge of data visualization strategies Imports, transforms, and analyzes large data sets from disparate data sources Creates relationships between data and develops data models Creates complex Data Analysis Expression (DAX) measures to support the data analysis needs of visualizations Maps data models to source systems and tracks entire data lineage Creates data model documentation explaining algorithms, parameters, models, and relations Collaborates with data engineers in ingesting and warehousing data to support data models  Guides clients in appropriately estimating and right sizing their visualization solution licensing based on organization user base and performance/sizing needs Manages workspaces, user permissions, deploys apps, and maintains the overall security and health of the visualization tools and platforms  Designs and supports complex Row Level Security (RLS) within the visualization solutions Assists project managers with work breakdown structure creation, project estimation, resource staffing, workload planning and adjustments throughout the project lifecycle Assists clients with licensing, security, and cost estimation of solutions Performs code reviews to ensure adherence to standards Works directly with clients and team members to establish secure data visualization platforms and infrastructure  Contributes to successful deployments of developed solutions and integration of DevOps tools Maintains a broad and current understanding of data visualization and data analytics strategies, cloud platforms, methodologies, and tools Builds client relationships during project execution, effectively becoming a trusted advisor of the client Participates in support activities for existing software solutions Works with the Data & AI team to perform pre-sales engineering and scoping exercises to assist with closing new opportunities Other duties as assigned

Supervisory Responsibilities:

Supervises the day-to-day workload of Associates on assigned engagements to ensure that timelines and deliverables are met, and reviews work product

 

Qualifications, Knowledge, Skills and Abilities:

Education:

High School Diploma or GED equivalent, required Bachelor’s degree, preferred; focus in Information Systems, Data Science or Computer Science, preferred

Experience:

Five (5) or more years of experience within Data Analytics, Business Intelligence, Artificial Intelligence, or Application Development, required One (1) or more years of experience technically leading development projects, preferred One (1) or more years of consulting experience or implementation of cloud-based data visualization solutions, preferred

Software:

Strong SQL skills including Data Definition Language (DDL), Data Manipulation Language (DML), views, functions, stored procedures, or performance tuning, required Experience with visualization tools such as, but not limited to, Power BI, Tableau, Qlik, Looker, required  Experience with Data Modeling, Semantic Model Definition or Star Schema Construction, required Hands on delivery experience of data visualization solutions within Azure or AWS, preferred Experience with Git and DevOps deployment technologies, preferred Experience with one (1) or more of the following, preferred: Wireframe mockup tools  Process documentation tools such as Visio AI Algorithms/Machine Learning Automation tools such as UiPath, Alteryx, etc. 

Other Knowledge, Skills & Abilities:

Project management and client relationship management skills Ability to work with a high degree of professionalism and autonomy Excellent verbal and written communication skills Solid organizational skills, especially the ability to meet project deadlines with a focus on details Ability to successfully multi-task while working independently or within a group environment Ability to work in a deadline-driven environment, and handle multiple projects simultaneously  Ability to interact effectively with people at all organizational levels of the Firm Ability to effectively interact with a team of professionals and delegating work assignments, as needed  Build and maintain strong relationships with internal and client personnel  Able to encourage a team environment on engagements, and contribute to the professional development of assigned personnel Professional presence

Keywords:  Data Analytics, Business Intelligence, Decision Intelligence, BI, Data Architect, Synapse, Machine Learning, Microsoft, SQL Server, Tableau, .Net, C#, Qlik, Power BI, Data Modeling, Azure, DAX, API, RLS, Row Level Security, Application Programming Interface, Data Analysis Expression

 

Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography.

Illinois Range:  $90,000 - $115,000