Data and Analytics Consultant

Starr And Associates•Atlanta, GA

1d•Hybrid

About The Position

Starr & Associates (S&A) is seeking a Data & Analytics Consultant with management consulting experience to support client engagements focused on data assessments, data quality, business intelligence, data integration, analytics, and reporting solutions. This role partners with business and technical stakeholders to evaluate current state data environments, identify opportunities for improvement, and develop data driven solutions that support operational and strategic objectives. The ideal candidate combines analytical capabilities with consulting experience and the ability to bridge business and technology teams. Experience supporting supply chain, manufacturing, MedTech, healthcare, distribution, or other operationally intensive industries is highly desirable.

Requirements

Bachelor’s degree in a STEM discipline, Business, or related field.
3 to 5 years of professional experience in data analytics, business intelligence, reporting, data management, data integration, or related disciplines.
Prior management consulting or professional services experience required.
Experience supporting data assessments, data quality initiatives, reporting programs, analytics projects, or data integration efforts required.
Strong SQL development and data analysis skills.
Experience working with SQL Server, Azure Data Factory, Databricks, Tableau, and Power BI.
Experience supporting SAP data environments and enterprise reporting initiatives.
Experience with ETL tools, APIs, data integration processes, and data movement frameworks.
Familiarity with Azure cloud services and modern data platform architectures.
Experience developing dashboards, scorecards, KPIs, reports, and visual analytics solutions.
Strong written and verbal communication skills suitable for executive and client facing environments.

Nice To Haves

Experience supporting Supply Chain Control Tower initiatives.
Experience supporting procurement, inventory management, supplier management, logistics, manufacturing operations, or supply chain analytics programs.
Experience with Python, R, or advanced analytics tools.
Exposure to Artificial Intelligence, Machine Learning, Generative AI, or advanced analytics concepts.
Experience with Snowflake, Microsoft Fabric, Synapse Analytics, or cloud analytics platforms.
Experience supporting data governance, metadata management, or master data management initiatives.
Experience supporting supply chain, manufacturing, MedTech, healthcare, distribution, or other operationally intensive industries is highly desirable.
Experience supporting manufacturing, supply chain, MedTech, healthcare, or operationally intensive industries preferred.

Responsibilities

Conduct data assessments to evaluate data sources, flows, quality, reporting capabilities, integrations, and overall data maturity.
Perform source to target mapping, data lineage analysis, field mapping, and business to technical requirement translation.
Assess data quality, completeness, accuracy, consistency, and integrity while identifying opportunities for improvement.
Facilitate stakeholder interviews, workshops, and working sessions to gather and validate business and analytical requirements.
Analyze structured and unstructured data to identify trends, risks, opportunities, and operational insights.
Design and develop dashboards, scorecards, KPIs, reports, and visual analytics solutions.
Apply analytical techniques, forecasting methods, and statistical approaches to support business decision making.
Analyze source systems, APIs, ETL processes, and data movement frameworks to support integration initiatives.
Develop analytical findings, recommendations, and actionable insights for operational and strategic decision making.
Support clients in developing recommendations, roadmaps, and improvement plans related to data, analytics, reporting, and integration capabilities.
Collaborate with executive sponsors, business leaders, technical teams, and project stakeholders.
Develop presentations, findings, recommendations, and executive level deliverables.
Support project delivery while adhering to consulting methodologies and quality standards.