Senior Data Management Analyst

IO Datasphere; Saint Paul (MN); Hybrid; USD 110,000 - 140,000; Full time

Job summary

IO Datasphere partners with the Department of Children, Youth, and Families in Saint Paul, MN to drive data product initiatives. The Senior Data Product Manager will lead data strategy across engineering, science, and business policy, delivering scalable datasets, analytics platforms, and governance-enabled data assets.

The role focuses on roadmapping, execution, and collaboration across analytics, engineering, and policy teams to mature data practices and enable trusted, reusable data assets.

Qualifications

• 4-7 years of experience in Data management, data analytics, data engineering, or related fields.
• Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance.
• Proficiency collaborating with data Architecture, data engineering and data science teams.
• Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
• Understanding of large organizational data sharing constraints and data sharing agreements.
• Experience with SQL, data lakes, data and data pipelines / ETL.
• Significant experience with Databricks.
• Familiarity with Java and Python.
• Background in building internal platforms or developer facing products.
• Experience in implementing modern data architectures at an organization.
• Experience in a highly regulated industry performing statistical analysis and reporting.

Responsibilities

• Data Product Development.
• Interested Parties Management.
• Analytics, Insights & Measurement.
• Governance, Compliance & Ethical Data Use.
• Provide knowledge transfer.

Skills

Data management

Data analytics

Data engineering

SQL

Databricks

Java

Python

dbt

Looker

Tableau

Power BI

Google Analytics

Tools

Databricks

dbt

Looker

Tableau

Power BI

Google Analytics

Job description

Client Name Department of Children, Youth, and Families (DCYF)

Requisition 3838

Location St Paul, MN

Duration 1 year

Due Date 09/15/2026 or sooner

C2C Possible Yes. Rate depends on experience

Interview Method Webcam (MS Teams)

NOTE: The work is expected to be done remotely or hybrid at offices in St. Paul MN. Must be located within the borders of the United States and be available for work during regular business hours of 7:00 a.m. - 6:00 p.m. Central Time, Monday through Friday. We can accept H1b, H4, TN and other valid work visas for IT. However we cannot accept OPT or CPT visas at this time.

Description:

Our client seeks a Senior Data Management Analyst who will be responsible for supporting significant system changes to turn the organization's data into scalable, high value products--such as curated datasets, analytics platforms, and data infrastructures supporting the Whole Family approach. This role will lead efforts across data engineering, data science, and business strategy that help mature data practices and teams and drive organizational efforts to shift to new data lakes and data curation platforms from current legacy main frame systems.

At a high level, the resource will lead the strategy, roadmap, and execution of data efforts enabling better decision making, operational efficiency, and intelligent product experiences. Partnering closely with data engineering, data science, analytics, and business policy and administration, the Data Product Manager will facilitate and help drive the path towards trusted, reusable, governed, and consumable data assets across the enterprise.

This role requires strong analytical skills, deep understanding of data systems, and a strong aptitude in translating between technical teams and business understanding, throughout the product lifecycle.

Tasks

• Data Product Development
• Interested Parties Management
• Analytics, Insights & Measurement
• Governance, Compliance & Ethical Data Use
• Provide knowledge transfer

Knowledge, Skills and Abilities Required (Soft Skills):

• Demonstrated Product leadership skills and ability to work in ambiguity.
• Ability to translate complex technical concepts into business-friendly language.
• Strong communication, prioritization, and stakeholder management skills.

Skills Required

• 4-7 years of experience in Data management, data analytics, data engineering, or related fields.
• Strong understanding of data systems: pipelines, warehousing, modeling, metadata, governance.
• Proficiency collaborating with data Architecture, data engineering and data science teams.
• Experience with analytics tools (dbt, Looker, Tableau, Power BI, Google Analytics).
• Understanding of large organizational data sharing constraints and data sharing agreements.
• Experience with SQL, data lakes, data and data pipelines / ETL.
• Significant experience with Databricks.
• Familiarity with Java and Python.
• Background in building internal platforms or developer facing products.
• Experience in implementing modern data architectures at an organization.
• Experience in a highly regulated industry performing statistical analysis and reporting.