Vaco is growing our BI and Analytics team and is seeking an experienced Senior Analytics Engineer to join our consulting practice focused on delivering modern, cloud-based analytics solutions for our clients.
This role combines hands-on data analytics creation with solution architecture, client advisory, and delivery leadership.

Candidates should be local to Cincinnati and comfortable with in-person meetings and on-site work.

Key Responsibilities

Solution Design & Delivery

Design, build, and deploy modern analytics and reporting solutions using contemporary tooling including Power BI, Tableau, Looker, Databricks AI/BI, etc.

Navigate modern data platform environments to query, extract, and build analytic products in a reproduceable manner.

Deep understanding in designing and deploying an enterprise-wide analytics/reporting architecture using contemporary tooling.

Deep understanding in deploying security models, working with catalog/governance tooling, and RLS.

Strong SQL skills

Knowledge of Python/pyspark a plus

Client Engagement & Consulting

Act as a trusted technical advisor to clients, translating business goals into analytic solutions.

Lead data assessments, roadmap development, and modernization initiatives.

Partner with business stakeholders, analysts, and data scientists to enable analytics, AI, and reporting use cases.

Provide hands-on mentorship and guidance to junior engineers and client teams.

Engineering Excellence

Establish best practices for DataOps, CI/CD, and data quality assurance across environments.

Implement observability, lineage, and governance frameworks (e.g., Unity Catalog, Purview, Alation).

Understand data modeling principles (Kimball, Data Vault, or Lakehouse paradigms) to be able to build analytic solutions from these models.

Required

Bachelor’s degree in computer science, Information Systems, Data Analytics, or related field.

10+ years of experience in analytics engineering, BI development, and data architecture.

Proven experience with report migrations and modernization initiatives.

Experience with modern data platforms (Snowflake, Microsoft Fabric, Databricks, BigQuery, etc.).

Advanced skills in Python, Power BI (Power Query, DAX, dataflows, semantic models) and SQL.

Experience designing and implementing semantic layers or data marts for analytics consumption.

Strong understanding of data modeling (star schema, dimensional modeling) and performance tuning for large datasets.

Excellent communication and stakeholder-management skills.

Preferred

Prior consulting experience

Familiarity with version control (Git), CI/CD for BI assets, and data governance tools.

Experience mentoring junior analysts or delivering Power BI user training.

Exposure to enterprise-scale reporting modernization programs or analytics center-of-excellence initiatives.

Certifications (Preferred)

Microsoft Fabric Analytics Engineer

Databricks Certified Data Analyst

Snowflake SnowPro Advanced Data Analyst

Tableau Certified Data Analyst/Consultant

Sr. Analytics Engineer

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