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Executive Data Analytics Jobs in Kansas (NOW HIRING)

Reply

Manager, Data Engineering

Kansas City, KS · On-site

Defining data roadmaps at the executive level for clients and detailed planning of data and AI ... Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL * Deep ...

Panera Bread

Sr. Manager Program, Enterprise Data

Newton, KS · On-site

$102K - $102K/yr

This leader partners closely with Data Engineering, Analytics, MDM Data Governance, and business ... Excellent executive communication skills - comfortable delivering difficult updates to senior ...

Fhlbtopeka

Data Engineer II

Topeka, KS · On-site

$90 - $120/hr

Partner with business analysts, data analysts, technical SMEs, and cross-functional teams to gather ... Access to Leadership | The executives of FHLBank Topeka welcome communication with business ...

Federal Home Loan Bank of Topeka

Data Engineer II

Topeka, KS · On-site

$107K - $129K/yr

Partner with business analysts, data analysts, technical SMEs, and cross-functional teams to gather ... Access to Leadership | The executives of FHLBank Topeka welcome communication with business ...

Children

Data Visualization Manager

Lenexa, KS · On-site

$82 - $165/hr

... and executive reporting needs. * Perform data analysis, profiling, validation, mapping, and quality assessments to ensure the integrity and trustworthiness of data used for reporting and ...

Naic

Catastrophe Risk Modeler

Kansas City, KS · On-site +1

$125K - $162K/yr

The Catastrophe Risk Modeler performs catastrophe modeling, data analytics, and geospatial analysis ... regulators, executives, technical experts, and nontechnical audiences. * Knowledge of emerging ...

TAMKO

Manufacturing Data Scientist

Phillipsburg, KS · On-site

Develop and deploy machine learning, predictive analytics, and prescriptive analytics, including ... Present findings, prototypes, and recommendations to peers, managers, operators, and executives ...

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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 Kansas?

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

Executive Data Analytics jobs near you

Manager, Data Engineering

Reply

Kansas City, KS • On-site

Full-time

Re-posted 12 days ago

Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies. We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
At Valorem Reply, we are hiring a Manager for the Data & AI team. The person will mainly focus on building modern data platforms using Microsoft cloud technologies, including Fabric and Databricks for our customers. As a technical leader, the person will assist with setting the technical direction of the practice and keep up to date with current trends in data-focused technology. The ideal candidate will have strong communication skills and serve as a trusted partner to our customers. A strong understanding of data governance and advising customers on frameworks is critical to this role. This is an exciting role for people that like collaborating across a team, enjoying flexibility/autonomy in completing work, and solving challenging problems.
Responsibilities
  • Assist in new business development and technical sales through development of proposals, estimation, statements of work, and requests for proposals
  • Contributing to and overseeing the successful delivery of data platform, analytics, and data science projects while liaising with clients to meet their needs
  • Providing leadership, coaching, and mentorship to team members and supporting their professional development while establishing a learning culture
  • Staying current on latest trends and technologies, while sharing expertise with colleagues, clients, and industry peers through speaking engagements, publications, and workshops
  • Defining data roadmaps at the executive level for clients and detailed planning of data and AI governance frameworks
  • Collaborating with project management to plan work for delivery teams and verifying quality deliverables

Minimum Requirements
  • Bachelor's degree in computer science or related field
  • 12 years of industry experience, with 4 most recent years as a hands-on manager leading a team on enterprise scale data platform projects
  • 4 years of experience in a consulting role working directly with Enterprise customers
  • Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
  • Deep expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI
  • Experience setting end-to-end modern data platforms in Azure including architecture/design, ingestion, storage strategies, analytics & reporting, Apache Spark, and networking requirements
  • Experience establishing data management strategy for customers, including data governance, data security, master data management, and familiarity with different industry security requirements
  • Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies

Preferred Qualifications
  • Ability to create working environments for data engineers and scientists, and general knowledge of ML, AI, LLMs, and MLOps
  • Knowledge and familiarity with Microsoft Purview
  • DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
  • Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
  • Experience with industry leading data tools, such as Profisee, FiveTran, DBT, and Collibra

About Reply
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at [email protected]. Visit our website at www.reply.com to learn more about our open roles.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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