Senior Data Management Analyst

IO Datasphere, Inc.; Saint Paul (MN); Hybrid; USD 90,000 - 130,000; Full time

Job summary

IO Datasphere, Inc. seeks a Senior Data Management Analyst to lead data strategy and execution, turning complex data into scalable assets.

You will align data engineering, data science, and business policy to drive governance and impactful analytics across the enterprise. Responsibilities include developing data products, managing stakeholder expectations, and ensuring compliance with data sharing and privacy standards while enabling trusted, reusable datasets and analytics platforms for

Qualifications

• Experience leading data product initiatives across data engineering, data science and business teams.
• Strong knowledge of data governance, data lakes, and data curation platforms.
• Ability to translate complex technical concepts into business-focused objectives.

Responsibilities

• Lead product strategy, roadmap, and execution for data initiatives.
• Develop data products including curated datasets and analytics platforms.
• Manage stakeholder communications and alignment across teams.
• Ensure governance, compliance, and ethical data use.
• Provide knowledge transfer to teams and teams' adoption.

Skills

Data management

Data analytics

Data engineering

SQL

Databricks

Python

Java

Looker

Tableau/Power BI

ETL

Tools

dbt

Looker

Tableau

Power BI

Google Analytics

Job description

IO Datasphere, Inc. has been providing project management, software development and IT staff augmentation services to our clients in the Midwest and throughout the U.S. since 1996. We are an approved vendor on contract to provide software development and IT staff augmentation services for the States of Illinois, Michigan, Minnesota, Iowa, and Wisconsin. We also provide these services to businesses, as well as local and county governments, in the Midwest and nationwide.

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. 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

• Product Strategy & Vision
• 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.

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

Location

St Paul, MN

Contract

1 year

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.
• Rate depends on experience
• Candidates authorized to work in the US are encouraged to apply. We can accept H1b, , TN, and other valid work visas for IT. However, we cannot accept OPT or CPT visas at this time.
• Companies submitting candidates should only submit direct W2 employees for this position.