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Data Analyst Python Sql Jobs in Lake Orion, MI (NOW HIRING)

Senior Data Analyst - Product

Detroit, MI ยท On-site

$85K - $107K/yr

As a Senior Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership ... Databricks SQL experience * Sigma experience for reporting and visualization * AI utilization ...

Proficient in writing advanced SQL for data analysis and reporting. * Familiarity with Agile development methodologies . * Bachelor's degree preferred, or equivalent professional experience.

ICT Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop). * Solid understanding of statistics, exploratory data analysis, and applied machine learning.

ICT Data Engineer

Auburn Hills, MI ยท On-site

$108K - $130K/yr

Strong proficiency in Python, SQL, PySpark and visualization tools (e.g., Power BI, Foundry Workshop). * Solid understanding of statistics, exploratory data analysis, and applied machine learning.

Senior Data Engineer

Troy, MI ยท Hybrid

$100K - $137K/yr

Required Experience (Must Have) Expert Python & SQL Developer Strong AWS Experience (Lambda, Glue ... SQL Analytics) Experience with Kubernetes (Cluster Orchestration, Container Networking, Pod ...

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Data Analyst Python Sql information

See Lake Orion, MI salary details

$31.3K

$76.2K

$125.4K

How much do data analyst python sql jobs pay per year?

As of Sep 3, 2026, the average yearly pay for data analyst python sql in Lake Orion, MI is $76,177.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,600.00 and $89,400.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Lake Orion, MI?

For Data Analyst Python Sql jobs in Lake Orion, MI, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Lake Orion, MI look for?

The top searched job categories for Data Analyst Python Sql jobs in Lake Orion, MI are:

What cities near Lake Orion, MI are hiring for Data Analyst Python Sql jobs?

Cities near Lake Orion, MI with the most Data Analyst Python Sql job openings:

Senior Data Analyst - Product

Rock Connections

Detroit, MI โ€ข On-site

$85K - $107K/yr

Full-time

Re-posted 20 days ago


Job description

As a Senior Data Analyst for Rocket Loans, you'll be a strategic partner to our leadership, collecting, analyzing, and reporting on data that drives operational excellence. You'll work closely with our Senior Data Analyst leadership to support our product reporting needs ultimately enabling our team leaders to make data-driven decisions that enhance efficiency and performance. You'll use a range of tools and methodologies, including statistics, technical expertise, and modern data platforms, to generate actionable insights and identify opportunities for continuous improvement. As a storyteller, you'll collect data from various sources to guide strategic decisions and support our transition to advanced analytics platforms.

About therole

  • Identify and communicate patterns with our product teams in response to business needs using data manipulation, statistics, and data visualization

  • Create and support business intelligence tools, databases, dashboards, reports, and methods with a focus on our product teams

  • Use data to support and challenge business solutions with stakeholders, particularly our product teams

  • Identify, document, and use exploratory data analysis to investigate assumptions around product performance and team efficiency

  • Maintain strong relationships and alignment among product stakeholders to meet reporting and analytical objectives

  • Define, gather, and validate data requirements; evaluate and ensure data quality standards are met

  • Develop and maintain KPIs and metrics around operational performance, team efficiency, and business health

  • Support the team's transition to Sigma as our primary reporting and visualization platform

  • Stay proactive and strategic-identifying opportunities to improve processes and reporting before being asked

  • Stay informed of industry trends and best practices in supporting product teams through data analytics

Aboutyou

Minimum Qualifications

  • Bachelor's degree or equivalent experience in a scientific discipline, mathematics, applied statistics, information technology, or a related field

  • 3+ years of experience using SQL or other querying languages to create and analyze data sets in a business setting

  • Experience creating KPIs/metrics around operational performance, team efficiency, and business health

  • Experience creating dashboards, reports, and data visualization tools

  • Experience executing end-to-end data analysis projects in a business environment

  • Experience using data to tell stories tailored to different audiences

  • Working knowledge of standard statistical measures, probability theory, and both qualitative and quantitative techniques

  • Conceptual knowledge of software programming fundamentals

Preferred Qualifications

  • Domain expertise supporting analytics for product teams

  • Exceptional communication skills and ability to translate complex data into clear, actionable insights for business leaders

  • Proven track record in data quality management and establishing data governance practices

  • Strategic, proactive mindset allowing you to identify opportunities and propose solutions rather than waiting for requests

  • Databricks SQL experience

  • Sigma experience for reporting and visualization

  • AI utilization experience and understanding of AI applications for use cases in business analytics

  • AWS experience

Whatyou'llget

Our team members fuel our strategy,innovationand growth, so we ensure the health and well-being of not just you, but your family, too! We goabove and beyondto 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'vegot your back. Check out our full list ofBenefits and Perks.

Aboutus

Headquartered in Detroit,Rocket Loanswasestablishedto create themost simple, rocket fast personal loan process. We assembled a top-notch team of individuals combining new, passionate team members with some of the best veterans from Rocket Mortgage to create the most user-friendly lending platform in the world. We have given it our best to create an experience that is best-of-breed in the personal loan industry and commit even more to continuously improving it. At Rocket Loans,you'llbuild a career that helps you achieve your professional goals while helping clients get theloansthey need to reach their financial goals.We'relooking for innovators and those unafraid to disrupt the status -quo. With an inclusive culture and opportunities to make a positive impact,we'rehere to help you foster your career growth.

This job description is an outline of the primary responsibilities of this position and may bemodifiedat the discretion of thecompany 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. Thecompany provides reasonableaccommodationsto qualified individuals with disabilitiesin accordance withapplicable state and federal laws. Applicantsrequiringreasonable accommodations in completing the application and/orparticipatingin the application process should contact a member of the Human Resources team, atCareers@Rocket.com.