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Executive Data Analytics Jobs in Minnesota (NOW HIRING)

... Create executive-level reporting on data quality trends and improvement initiatives. o Support ... Data Engineering Data Products Analytics & BI Finance/Accounting Operations Supply Chain Marketing ...

... Create executive-level reporting on data quality trends and improvement initiatives. o Support ... Required Qualifications * 3+ years of experience in Data Quality, Data Analytics, Data Governance ...

Data Engineer

Saint Paul, MN · On-site

$70 - $80/hr

... analysis to support executive and operational decision-making. • Lead and participate in data governance and quality initiatives, adhering to best practices and standards. • Develop training ...

The Client Sales Executive will leverage their strong communication and negotiation skills to ... Proven experience in sales or business development, preferably within the data analytics or ...

Data Engineer

New Brighton, MN · On-site

$90 - $130/hr

Provide actionable recommendations based on data analysis to support executive and operational decision-making. * Lead and participate in data governance and quality initiatives, adhering to best ...

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Executive Data Analytics information

What is an executive data analytics professional?

An Executive Data Analytics professional is a senior leader responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision-making processes. They manage teams of analysts and data scientists, align analytics projects with business goals, and ensure the effective use of data to drive growth and innovation. Their role typically involves collaborating with other executives, setting data governance policies, and identifying opportunities for leveraging data to improve performance and competitive advantage.

What are the key skills and qualifications needed to thrive as an executive in data analytics?

To thrive as an Executive in Data Analytics, you need expertise in data analysis, statistical modeling, and data-driven decision-making, usually supported by an advanced degree in data science, statistics, or a related field. Familiarity with analytics platforms such as Tableau, Power BI, SQL, and cloud-based data systems, along with certifications like Certified Analytics Professional (CAP), is typically required. Strong leadership, strategic thinking, and communication skills distinguish top performers by enabling them to translate complex data insights for stakeholders and drive organizational change. These skills are critical for aligning analytics initiatives with business goals and delivering measurable value.

How does an executive data analytics professional typically collaborate with other departments to drive business strategy?

Executive Data Analytics professionals often work closely with leaders across marketing, finance, operations, and IT to translate complex data insights into strategic business decisions. They facilitate cross-functional meetings, present actionable findings, and recommend data-driven initiatives that align with organizational goals. This role requires strong communication and leadership skills, as executives must bridge the gap between technical data teams and non-technical stakeholders, ensuring everyone understands and acts on key insights.

What is an executive data analytics?

Executive data analytics involves analyzing large datasets to support strategic decision-making at the leadership level. Professionals in this role use tools like SQL, Python, or Tableau to interpret data trends and present insights that inform business strategies. Strong analytical skills and experience with data visualization are essential for success in this position.

What are the most commonly searched types of Data Analytics jobs in Minnesota?

The most popular types of Data Analytics jobs in Minnesota are:

Lead Data Engineer

Ztek Consulting INC

Minneapolis, MN • On-site

Contractor

Re-posted 2 days ago


Job description

This is a hands-on delivery lead role specialized in data engineering
Strong communication skill to work with senior executives
20-25 years of experience in Information Technology services across industries
-8-10 years of experience in designing Application Architecture on Data Platform using Machine Learning, --Deep Learning, Big Data Platforms, Natural Language Processing, Data Engineering, Time Series Analysis, Linear and Non-linear Modeling, Data Mining, Optimization and Simulation and Data Engineering (Snowflake, Oracle and SQL)
5 years of experience in designing data conformation from disparate data sources for data analytics
3 years of experience in Cloud platform (AWS)
Nice to have skills:
Continues from req. skills:
Informatica Intelligent Cloud Services - ETL Processes to handle high volume data for PowerBI
Nice to have skills:
PowerBI hands-on experience