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Manager Senior Data Analyst Remote Jobs in Michigan

Canopy

Senior Data Analyst

Detroit, MI · On-site +1

$96K - $132K/yr

As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the design, development, and implementation of cutting-edge machine learning models and algorithms to ...

CSAA

Job Title Senior Data Science Consultant, Insurance - Remote Requisition Number R7828 Senior Data ... Beyond delivering high-impact analytics, this person will help strengthen CSAA's internal ...

CSAA

Job Title IT Systems Analyst III - Customer Data Hub (Data & Analytics) - Remote Requisition Number ... Partner with product and business partners (including Business Relationship Management Consultants ...

Kobie Marketing

Sr. Data Engineer

Detroit, MI · Remote

$104K - $142K/yr

Join a National Top Workplace Named a Top Workplace in the USA and Top Remote Workplace, Kobie is ... analysis and dimensional modeling through to the KALC (Kobie Alchemy Loyalty Cloud) platform tables ...

Ford Motor Company

Data Scientist

Dearborn, MI · Remote

The Senior Data Scientist will design and implement advanced systems that support cross-domain ... Integrating heterogeneous enterprise datasets into structured, analysis-ready pipelines using ...

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

... analytic solutions utilizing both traditional on-premises and cloud-based platforms. The Senior ... REMOTE Must have epic certifications: * Cogito * Clarity Data * Caboodle Data Model Must Have

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

... analytic solutions utilizing both traditional on-premises and cloud-based platforms. The Senior ... REMOTE Must have epic certifications: * Cogito * Clarity Data * Caboodle Data Model Must Have

Stefanini Group

Epic Data Engineer

Grand Rapids, MI · Remote

... analytic solutions utilizing both traditional on-premises and cloud-based platforms. The Senior ... REMOTE Must have epic certifications: * Cogito * Clarity Data * Caboodle Data Model Must Have

Munich Re

Data Scientist, AI

Ann Arbor, MI · On-site +1

Develop and project manage modeling projects and statistical analyses. * Effectively communicate ... * Sr. Data Scientist: 4 or more years of data science/predictive analytics experience in (re ...

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Manager Senior Data Analyst Remote information

What is the difference between Manager Senior Data Analyst Remote vs Data Scientist?

AspectManager Senior Data Analyst RemoteData Scientist
Required CredentialsBachelor's or Master's in Data Analytics, Business, or related fields; experience in data analysis toolsBachelor's or Master's in Computer Science, Statistics, or related; often requires programming skills
Work EnvironmentRemote, collaborative with teams, focus on reporting and analysisRemote or on-site, research-focused, involves modeling and algorithm development
Employer & Industry UsageBusiness, finance, healthcare, tech companiesTech firms, research institutions, startups, and enterprises

The main difference is that Manager Senior Data Analysts focus on interpreting data, creating reports, and guiding teams, while Data Scientists develop models and algorithms to extract insights. Both roles often work remotely and require strong analytical skills, but Data Scientists typically have more programming and statistical expertise.

How does a Manager Senior Data Analyst typically balance hands-on analytics work with team leadership responsibilities in a remote setting?

As a Manager Senior Data Analyst working remotely, you can expect to split your time between guiding your team and performing advanced analytics tasks yourself. You'll often lead project planning, mentor junior analysts, and coordinate with cross-functional teams, all while ensuring data-driven solutions are delivered on schedule. Effective communication and regular virtual check-ins are essential for fostering collaboration and keeping projects on track. Balancing strategic oversight with hands-on analysis is key to success, and many organizations support this through clear goal-setting and flexible work hours.

What are the key skills and qualifications needed to thrive as a Manager Senior Data Analyst in a remote setting, and why are they important?

To thrive as a Manager Senior Data Analyst Remote, you need advanced data analysis skills, expertise in statistics, and a relevant degree in data science, mathematics, or a related field. Familiarity with analytics tools such as SQL, Python, R, data visualization platforms (e.g., Tableau, Power BI), and experience with cloud-based data systems are typically required. Strong leadership, problem-solving, and communication skills are essential, especially for managing remote teams and collaborating across departments. These skills ensure effective data-driven decision-making, efficient team management, and clear communication of insights in a distributed environment.

What does a Manager Senior Data Analyst do in a remote role?

A Manager Senior Data Analyst in a remote role leads data analysis projects and oversees a team of analysts to extract, interpret, and present insights from large datasets. They are responsible for setting analysis strategies, ensuring data quality, and communicating findings to stakeholders to inform business decisions. Working remotely, they utilize digital collaboration tools to manage their team and maintain clear communication. Their work often involves designing data models, developing KPIs, and supporting data-driven decision-making across the organization.
What are the most commonly searched types of Senior Data Analyst Remote jobs in Michigan? The most popular types of Senior Data Analyst Remote jobs in Michigan are:
What cities in Michigan are hiring for Manager Senior Data Analyst Remote jobs? Cities in Michigan with the most Manager Senior Data Analyst Remote job openings:
Manager Senior Data Analyst Remote jobs near you

Senior Data Analyst

Canopy

Detroit, MI • On-site, Remote

$96K - $132K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

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Job description

Join Canopy, a Ford-backed company, at the forefront of engineering advanced threat detection and deterrence products specifically designed for vehicles. Our mission is to eliminate vehicle crime and enhance mobility through cutting-edge consumer hardware, aftermarket connectivity, and AI-driven security solutions. As part of our team, you'll be at the forefront of innovation, helping to solve one of today's most pressing challenges with cutting-edge solutions.
As a Senior Data Analyst reporting to the Team Manager of Core AI and Data, you will spearhead the design, development, and implementation of cutting-edge machine learning models and algorithms to address intricate business challenges. Your role will involve analyzing large datasets to identify meaningful patterns, trends, and relationships, using a combination of statistical methods, machine learning techniques, and data visualization tools. Additionally, you will be responsible for developing and validating approaches that ensure accuracy, robustness, and scalability for production deployment.
Responsibilities:
  • Lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex business problems.
  • Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to identify data-driven opportunities and translate them into actionable insights.
  • Analyze large datasets to extract meaningful patterns, trends, and relationships, leveraging statistical methods, machine learning techniques, and data visualization tools.
  • Develop and validate approaches, ensuring accuracy, robustness, and scalability for deployment in production environments.
  • Communicate findings and recommendations to both technical and non-technical audiences through detailed reports, presentations, and data visualizations.
  • Mentor and provide guidance to junior data scientists and analysts, fostering a culture of continuous learning and innovation.

Requirements
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience in data science, with a strong background in statistical analysis, machine learning, and predictive modeling.
  • Proficiency in programming languages such as Python.
  • Strong expertise in SQL and experience working with large-scale databases and data processing frameworks.
  • Demonstrated ability to work with complex data sets, including data cleaning, transformation, and feature engineering.
  • Experience with data visualization tools such as Tableau, Grafana, or Matplotlib to present insights and results effectively.
  • Strong problem-solving skills, with the ability to work independently and manage multiple projects simultaneously.
  • Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred Qualifications:
  • Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field.
  • Experience with deep learning techniques and frameworks such as TensorFlow, or PyTorch.
  • Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.
  • Experience where data science has driven significant business outcomes.
  • Strong understanding of A/B testing, experimental design, and causal inference techniques.
  • Experience with MLOps practices, including model deployment, monitoring, and lifecycle management in production environments.
  • Reside within the Detroit area or nearby, with the ability to work in a hybrid environment and regularly commute to our Detroit office as needed.

Benefits
  • Comprehensive medical benefits coverage, dental plans and vision coverage.
  • Health care and dependent care spending accounts.
  • Employee and Family Assistance Program (EAP).
  • Employee discount programs.
  • Retirement plan with a generous company match.
  • Generous Paid Time Off, Sick, and Holidays
  • Family Leave (Maternity, Paternity)
  • Short- and long-term disability
  • Life insurance and accidental death & dismemberment insurance

Compensation Range
Compensation may vary depending on skills and experience.
Base Salary: $96,900 - $132,300
Diversity, Equity and Inclusion: At Canopy, we're on a mission to end theft from vehicles and revolutionize vehicle security by building cutting-edge technology. We will achieve this by prioritizing individuals and staying attuned to the evolving needs of our people, users, and industry trends. We foster a workplace culture that embraces diversity and authenticity, enabling us to flourish as a team of exceptional individuals working towards a common purpose. We gain a deeper understanding of our users' experiences by continuously improving our skills and expanding our knowledge. A more diverse, equitable, and inclusive Canopy leads to greater innovation and success.
Equal Opportunity: Canopy does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

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