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Executive Aws Data Analytics Jobs in Michigan (NOW HIRING)

V-CENTRIX-US LLC

Snowflake Data Engineer

Detroit, MI · On-site

$104K - $125K/yr

Develop and optimize dbt models, transformations, and data workflows to support efficient analytics. Work with AWS data services , including Aurora, RDS, DMS, and DynamoDB , for data integration and ...

New

Venteon

Senior Director Data Analytics & AI

Novi, MI · On-site

This executive-level position will drive the organization's vision across Master Data Management (MDM), Data Governance, Advanced Analytics, and Artificial Intelligence, enabling business growth ...

HCLTech

Data Analyst

Farmington Hills, MI

Must Have: * 2-3 years of experience in Data Analytics, Business Analytics, or a similar role ... Google Cloud Platform (GCP), AWS, or Azure cloud certification or Experience working with cloud ...

Pwc

Data Engineer - Senior Manager

Detroit, MI

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data ...

Pwc

Data Engineer - Senior Manager

Grand Rapids, MI · On-site

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... g., AWS Solutions Architect, AWS Data Engineer, Google Professional Cloud Architect, GCP Data ...

Tech Tammina LLC

Data Analyst

Warren, MI · On-site

... analytics solutions to streamline workflows * Maintain data quality, security, and performance standards across all reporting systems * Develop dashboards, ad hoc reports, and executive-ready ...

Wwwinc

Senior Analyst, Process and Data Analytics

Rockford, MI · Hybrid

$76K - $96K/yr

... Data Analytics is responsible for owning and enhancing planning reporting, analytics, and system ... executive planning processes. Primary Duties: * Partner with planners, business stakeholders, IT ...

New

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... At Workiva, you'll bring technology to market that executives, boards, and regulators depend on.

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Executive Aws Data Analytics information

What is an Executive AWS Data Analytics?

Executive AWS Data Analytics roles involve overseeing and guiding the use of Amazon Web Services (AWS) data analytics tools and solutions within an organization. These professionals are responsible for shaping the data strategy, ensuring proper data governance, and maximizing the value of data-driven insights for business decision-making. They often lead teams of data engineers, analysts, and architects, and work closely with other executives to align analytics initiatives with organizational goals. Key responsibilities include managing cloud-based analytics projects, optimizing data workflows, and driving innovation through advanced analytics and machine learning solutions on AWS.

What are the key skills and qualifications needed to thrive as an Executive AWS Data Analytics professional?

To thrive as an Executive AWS Data Analytics professional, you need deep expertise in data analytics, cloud computing, and business intelligence, typically supported by a relevant degree and substantial experience in data-driven leadership roles. Familiarity with AWS analytics services (such as Redshift, Athena, Glue, and QuickSight), big data tools, and certifications like AWS Certified Data Analytics – Specialty are highly valued. Strategic thinking, leadership, and strong communication skills set top performers apart by enabling them to align data initiatives with business objectives and lead cross-functional teams. These skills and qualities are critical for leveraging cloud data solutions to drive organizational growth and informed decision-making.

What are some common challenges faced by Executive AWS Data Analytics professionals when leading analytics initiatives?

Executive AWS Data Analytics professionals often face challenges such as aligning cloud-based analytics solutions with business goals, managing large and diverse data sets securely, and ensuring data quality across multiple sources. They must also navigate fast-evolving AWS technologies, coordinate cross-functional teams with varying technical expertise, and balance project timelines with resource constraints. Effective communication, strategic planning, and ongoing skill development are key to overcoming these challenges and delivering impactful analytics solutions.

Which executive AWS Data Analytics jobs are in demand?

Executive AWS Data Analytics roles such as Data Analytics Director, Cloud Data Officer, and Head of Data Analytics are in high demand due to organizations' increasing reliance on cloud-based data solutions. These positions typically require expertise in AWS services like Redshift, Glue, and Athena, along with leadership skills and relevant certifications such as AWS Certified Data Analytics - Specialty.
Executive Aws Data Analytics jobs near you

Project Manager - Data Analytics

Apetan Consulting llc

Royal Oak, MI • On-site

$50 - $55/hr

Contractor

Re-posted 16 days ago

Job description

 Role: Project Manager – Data Analytics

Location: Royal Oak MI Hybrid

 

Job Summary

We are seeking an experienced Project Manager – Data Analytics to lead enterprise-scale analytics initiatives. The ideal candidate will have a strong understanding of Data Analytics, Data Lakes, Data Pipelines, ETL processes, and modern cloud-based analytics platforms, along with proven experience managing cross-functional technical teams and delivering data-driven projects.

Required Skills

  • 8+ years of IT experience with 3+ years as a Project Manager.
  • Strong experience managing Data Analytics and Data Engineering projects.
  • Hands-on understanding of:
    • Data Lakes (Azure Data Lake, AWS S3, Databricks, Snowflake, etc.)
    • Data Pipelines
    • ETL/ELT processes
    • Data Warehousing
    • Data Integration
  • Experience with cloud platforms such as Azure, AWS, or GCP.
  • Familiarity with SQL and analytics/reporting tools like Power BI, Tableau, or Looker.
  • Experience working with Agile/Scrum methodologies.
  • Strong stakeholder management and communication skills.

Preferred Skills

  • Experience with Databricks, Snowflake, Azure Data Factory, Apache Spark, Kafka, Airflow, or similar technologies.
  • Knowledge of data governance, data quality, and metadata management.
  • PMP, Scrum Master, or Agile certification.

Responsibilities

Lead end-to-end delivery of Data Analytics and Data Engineering projects.

Coordinate with business stakeholders, architects, data engineers, and analytics teams.

Manage project scope, timelines, budgets, risks, and dependencies.

Oversee implementation of data lakes, data pipelines, and analytics solutions.

Ensure project delivery aligns with business objectives and quality standards.

Drive Agile ceremonies and provide regular status updates to leadership.

                Identify and mitigate project risks while ensuring timely delivery