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, youll be at the forefront of innovation, helping to solve one of today's most pressing challenges with cutting-edge solutions. As a Senior Data Scientist reporting to the Team Manager of Data Engineering, 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: <ul><li>Lead the design, development, and implementation of advanced machine learning models and algorithms to solve complex business problems. </li><li>Collaborate with cross-functional teams, including product managers, engineers, and business stakeholders, to identify data-driven opportunities and translate them into actionable insights. </li><li>Analyze large datasets to extract meaningful patterns, trends, and relationships, leveraging statistical methods, machine learning techniques, and data visualization tools. </li><li>Develop and validate approaches, ensuring accuracy, robustness, and scalability for deployment in production environments. </li><li>Communicate findings and recommendations to both technical and non-technical audiences through detailed reports, presentations, and data visualizations. </li><li>Mentor and provide guidance to junior data scientists and analysts, fostering a culture of continuous learning and innovation. </li></ul>Requirements <ul><li>Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field. </li><li>5+ years of experience in data science, with a strong background in statistical analysis, machine learning, and predictive modeling. </li><li>Authorized to work in the United States. </li><li>Proficiency in programming languages such as Python or R. </li><li>Strong expertise in SQL and experience working with large-scale databases and data processing frameworks. </li><li>Demonstrated ability to work with complex data sets, including data cleaning, transformation, and feature engineering. </li><li>Experience with data visualization tools such as Tableau, Grafana, or Matplotlib to present insights and results effectively. </li><li>Strong problem-solving skills, with the ability to work independently and manage multiple projects simultaneously. </li><li>Excellent communication skills, both written and verbal, with the ability to convey complex technical concepts to non-technical stakeholders. </li></ul>Preferred Qualifications: <ul><li>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. </li><li>Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field. </li><li>Experience with deep learning techniques and frameworks such as TensorFlow, or PyTorch. </li><li>Familiarity with cloud computing platforms like AWS, Azure, or Google Cloud.. </li><li>Experience where data science has driven significant business outcomes. </li><li>Strong understanding of A/B testing, experimental design, and causal inference techniques. </li><li>Previous experience leading or mentoring a team of data scientists or analysts. </li><li>Experience with MLOps practices, including model deployment, monitoring, and lifecycle management in production environments. </li></ul>Benefits <ul><li>Comprehensive medical benefits coverage, dental plans and vision coverage. </li></ul><ul> <li>Health care and dependent care spending accounts. </li><li>Employee and Family Assistance Program (EAP). </li><li>Employee discount programs. </li><li>Retirement plan with a generous company match. </li><li>Generous Paid Time Off, Sick, and Holidays </li><li>Family Leave (Maternity, Paternity) </li><li>Short- and long-term disability. </li><li>Life insurance and accidental death & dismemberment insurance. </li></ul> Compensation Range Compensation may vary depending on skills and experience. Base Salary:$96,600 - $130,000 Diversity, Equity and Inclusion:At Canopy, were 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. EEO Employer Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation in using our website for a search or application, please contact our Employee Services Department at [email protected] or 844-463-6178 . Apex Systems is a world-class IT services company that serves thousands of clients across the globe. When you join Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated's Best of Staffing® in Talent Satisfaction in the United States and Great Place to Work® in the United Kingdom and Mexico.

INTRODUCTION:Under the supervision of the Policy Director, the Data Analyst is responsible for program reporting activities, including quality management measures. The primary activities of this position are data management, analysis, and visualizati Data Analyst, Analyst, Technical Support, Evaluation, Management, Department Leader, Technology

Insight Global is looking for a Data Analyst for a client in Detroit, MI. This candidate should be able to go onsite 1-2 days a week, and they will be assisting the team with migrating to AWS utilizing SQL and python. They will also be responsible for communication with both IT and business sector. $30 to $35HR
Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Required Skills & Experience Qualifications:
5+ years of experience working within Data Analytics
5+ years of experience with Python
Experience with SQL
SAS Experience
Data Warehousing knowledge Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

Insight Global is looking for a Data Analyst for a client in Detroit, MI. This candidate should be able to go onsite 1-2 days a week, and they will be assisting the team with migrating to AWS utilizing SQL and python. They will also be responsible for communication with both IT and business sector. $30 to $35HR Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ . Required Skills & Experience Qualifications: 5+ years of experience working within Data Analytics 5+ years of experience with Python Experience with SQL SAS Experience Data Warehousing knowledge Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

The Rock Family of Companies is made up of nearly 100 separate businesses spanning fintech, sports, entertainment, real estate, startups and more. We're united by our culture - a drive to find a better way that fuels our commitment to our clients, our community and our team members. We believe in and build inclusive workplaces, where every voice is heard and diverse perspectives are welcomed. Working for a company in the Family is about more than just a job - it's about having the opportunity to become the best version of yourself. As a Senior Data Analyst, you'll specialize in collecting, organizing and analyzing data from various sources with the purpose of turning numbers into context and recommendations. You'll paint a picture of how the business is operating using a variety of data analysis techniques and statistics. You'll integrate, transform and improve volumes of data at the project or company level for streamlined processes, greater efficiencies and more informed decision-making. You'll demonstrate leadership among peers and an extremely deep knowledge of your industry and business. About the Role <ul> <li>Proactively identify and communicate business opportunities and recommendations using data manipulation, programming, statistics, and data visualization </li><li>Use data to support and challenge business solutions with executive leadership or other stakeholders </li><li>Lead design and validation for all phases of research projects, including presentation of results, guiding iterative improvement </li><li>Maintain relationships and alignment among stakeholders to meet objectives </li><li>Define, gather, and validate project data requirements and evaluate data quality </li><li>Create and support business intelligence tools, databases, dashboards, reports, or methods </li><li>Identify, document, and use exploratory data analysis to investigate assumptions </li><li>Mentor teammates on any of the above responsibilities </li></ul>About You Minimum Qualifications <ul> <li>Bachelor's degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology or a related field </li><li>4 years of experience or equivalent competency identifying business problems, conducting data experiments, performing statistical analysis, and synthesizing findings to guide business decisions </li><li>Experience leading end-to-end data analysis projects resulting in positive business changes </li><li>Expertise creating data visualizations using modern business intelligence (BI) tools, highlighting insights as relevant </li><li>Proficiency with Sagemaker, Athena, Python and PySpark </li><li>Experience creating data sets with advanced SQL or other querying languages and using them to develop business strategies </li><li>Advanced practical knowledge of standard statistical measures, probability theory and both qualitative and quantitative techniques </li><li>Experience data mining or using other exploratory techniques </li><li>Experience working with structured and unstructured data </li><li>Domain knowledge of multiple business areas </li><li>Ability to manage multiple priorities, meeting deadlines, and producing quality results, even in challenging or time-sensitive environments </li></ul>Preferred Qualifications <ul> <li>Comprehensive knowledge of at least one business area and its data, including industry or other external sources </li><li>Experience in several business areas and familiarity with associated data </li><li>Conceptual knowledge of big data, machine learning, or data science </li></ul> What You'll Get Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too! We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life. We are proud to offer eligible team members perks and health benefits that will help you have peace of mind. Simply put: We've got your back. Check out our full list of Benefits and Perks. About Us Rocket Mortgage® was founded in 1985. Today, we're a Detroit-based, publicly traded company with a mission to Help Everyone Home. At Rocket Mortgage, we believe that home is more than the house you live in. Our wide variety of home loan options, tools and resources empower our clients to achieve their homeownership dreams. We're known as experts in the mortgage industry, but we're also innovators - we strive to create the best experiences for our clients from beginning to end. And we're not your typical employer. We're insistently different in how we look at the world and are committed to an inclusive workplace where every voice is heard. Apply today to join a team that offers career growth, amazing benefits and the chance to work with leading industry professionals. This job description is an outline of the primary responsibilities of this position and may be modified at the discretion of the Company at any time. Decisions related to employment are not based on race, color, religion, national origin, sex, physical or mental disability, sexual orientation, gender identity or expression, age, military or veteran status or any other characteristic protected by state or federal law. The Company provides reasonable accommodations to qualified individuals with disabilities in accordance with applicable state and federal laws. Applicants requiring reasonable accommodations in completing the application and/or participating in the application process should contact a member of the Human Resources team, The Pulse, at Careers@myrocketcareer.com. The Company is an Equal Employment Opportunity employer, and does not discriminate in any hiring or employment practices. The Company provides reasonable accommodations to qualified individuals with disabilities in accordance with state and federal law. Applicants requiring reasonable accommodation in completing the application and/or participating in the employment application process should notify a representative of the Human Resources Team, The Pulse, at Careers@myrocketcareer.com.

Role  :   Data Analyst
Location: Detroit, MI (Onsite)
Duration: Full-time

Technical/Functional Skills      Engage directly with business and technology partners to understand objectives to deliver analytic-centric solutions.
Support rapid prototyping activities that will validate business requirements, confirm solution definition and manage risk appropriately.
Works directly with team members from business sectors and the applications development team.
Uses technical knowledge, creativity, and company practices and priorities to obtain solutions to complex problems.
Assist in quality assurance and defining testing strategy and risks.
Use judgment, creativity, and sound technical knowledge to obtain and recommend effective solutions.
Overall, 8+ years of experience in ETL development.
Expertise in Analysis, Design, development, support and Enhancements of ETL in data warehouse environment with any of the market available ETL Tool(such as DataStage/Informatica/Talend/SSIS/Abnitio etc.).
Expertise implementing complex ETL logic with Toolset.
Good Understanding on ETL data load Strategies.
Knowledge/Experience in Data vault Modeling Design/Implementation.
Experience in relational databases with strong SQL Coding skills to create stored procedures/views for complex analytical use cases.
Exposure to Data Build Tool (DBT),Qlik replicate, Snowflake, Airflow, AWS infrastructure, CI/CD pipelines
Troubleshoot and quickly resolve data quality issues, performance issues, database capacity issues, replication and other distributed data issues
Exposure to Python programming
Should be proficient in writing complex SQL queries
Strong analyzing capabilities with an ability to fine-tune report/SQL query performance
Exposure to Auto Finance process would be an added advantage.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.

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Data Analyst Jobs in Hamtramck, MI

Data AnalystDecember 30, 2024

Data AnalystDecember 28, 2024

Data AnalystDecember 10, 2024

Data AnalystDecember 9, 2024

Senior Data AnalystDecember 8, 2024

Etl Data AnalystDecember 5, 2024