Miller Cooper & Co., Ltd.
Data Analytics Consultant
Consultant in Miller Cooper's Data & Analytics Advisory practice: leads client engagements end to end — discovery workshops, requirements gathering, solution design, and delivery of analytics and BI solutions. Core tech includes SQL, BI tools (Power BI, Tableau, Looker, Sigma, Domo, Qlik), and cloud data platforms like Snowflake.
- Compensation
- $100K–$115K / yr
- Location
- Chicago, IL 60661
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- 3+ years
- Category
- Data analytics
- Posted
Skills
Must have
- Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, Accounting, Finance, or related field
- 3-5 years of experience in data analytics, business intelligence, or a closely related field
- Strong SQL proficiency (complex joins, window functions, CTEs, query optimization)
- Hands-on experience with multiple BI/visualization tools (e.g., Power BI, Sigma, Tableau, Looker, Domo, or Qlik)
- Strong analytical and problem-solving skills, translating business questions into data-driven answers
- Excellent written and verbal communication skills, including presenting to leadership
- Experience leading client-facing initiatives
Nice to have
- Analytics consulting or advisory services experience
- Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift)
- Familiarity with ETL/data integration tools and API-based data connectors (e.g., dbt, Fivetran, Domo)
- Exposure to data modeling and warehouse concepts
- Experience using AI and BI tools to automate reporting, improve efficiency, and generate predictive insights
Full description
ConsultantLocation: Chicago, IL / Hybrid Department: Data & Analytics
Employment Type: Full-Time
About the Role:
As a Consultant within our Data & Analytics Advisory Services practice, you will serve as a trusted partner to clients, helping them transform data into actionable insights and measurable business outcomes. You will lead client engagements from discovery through delivery while collaborating with business leaders, technical teams, and project stakeholders.
In this role, you will:
- Lead client discovery workshops, stakeholder interviews, and requirements-gathering sessions to understand business objectives, reporting needs, operational challenges, and success criteria.
- Design and document analytics, reporting, and data solutions that align business requirements with scalable data architectures, modern reporting platforms, and measurable business outcomes.
- Manage and own successful delivery of engagement deliverables, project activities, and client expectations to ensure successful execution, clear communication, and high levels of client satisfaction.
- Coordinate cross-functional teams including analysts, engineers, project managers, and client stakeholders to drive collaboration and successful project delivery.
- Analyze business processes and data challenges to develop practical recommendations, roadmaps, and business cases that support strategic decision-making and operational improvement.
- Support project planning activities including estimate development, statement of work (SOW) creation, scope definition, risk identification, resource planning, and timeline management.
- Monitor project progress, manage risks and issues, and ensure delivery quality through effective governance, testing oversight, and stakeholder communication.
- Contribute to business development efforts through proposal support, solution demonstrations, project estimation, client presentations, and participation in sales pursuits.
- Mentor Analysts and Senior Analysts by providing guidance, sharing best practices, reviewing deliverables, and supporting professional development.
What You Bring:
- Bachelor's degree in Business, Information Systems, Data Analytics, Computer Science, Accounting, Finance, or related field
- 3-5 years of experience in data analytics, business intelligence, or a closely related field.
- Strong SQL proficiency (complex joins, window functions, CTEs, query optimization).
- Hands-on experience with multiple BI/visualization tools (e.g., Power BI, Sigma, Tableau, Looker, Domo, or Qlik).