Data Solutions Consultant

Spaulding Ridge • Chicago, NY

4h

About The Position

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. Data Solutions Consultant What You Will Do We are looking for a Data Solutions Consultant to join our Data and Analytics team! As a Data Solutions Consultant, you’ll be responsible for scoping, designing, implementing, and testing proposed modern analytic solutions. Working closely with our client partners, you’ll develop relationships with key technical resources while delivering tangible business outcomes. Ideal candidates will be able to: Participate in the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance Collaborate with team members to design and implement technology that aligns with client business objectives Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients Successfully work with Integration technologies such as MuleSoft, Jitterbit, Boomi, Informatica, Talend, Salesforce APIs and other similar ETL tools Seamlessly work with analytic technologies such as Tableau, DataIku, PowerBI, ThoughtSpot, Qlik, Looker and other similar analytic tools Work with cloud enabled data repositories such as Snowflake, Google Cloud Platform, Microsoft Azure, and/or Amazon Web Services.

Requirements

• 1+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC) utilizing Agile/Kanban/DevOps Delivery
• Experience with relational databases such as Postgres, MySQL, SQL Server, Oracle, Teradata etc.
• Experience creating functional test cases and supporting user acceptance testing
• 1+ years of experience writing Business requirements, Use cases and/or user stories, preferably for data warehouse or data mart initiatives
• 1+ years of Business Data Analyst experience
• Hands-on experience with data analysis / profiling
• 1+ years of SQL development, advanced analytic functions preferred
• Outstanding analytical, communication, and interpersonal skills
• Ability to travel

Nice To Haves

• SnowPro certification
• Experience developing in Snowflake, AWS, Azure, GCP or similar cloud data platform
• Experience with modern tech stack tools such as Jenkins, Kafka, Messaging, Kubernetes
• Understanding of data architecture, data modeling, statistics, data science and data infrastructure ecosystems

Responsibilities

• Participate in the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance
• Collaborate with team members to design and implement technology that aligns with client business objectives
• Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients
• Successfully work with Integration technologies such as MuleSoft, Jitterbit, Boomi, Informatica, Talend, Salesforce APIs and other similar ETL tools
• Seamlessly work with analytic technologies such as Tableau, DataIku, PowerBI, ThoughtSpot, Qlik, Looker and other similar analytic tools
• Work with cloud enabled data repositories such as Snowflake, Google Cloud Platform, Microsoft Azure, and/or Amazon Web Services.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees