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Business Analyst Sql R Python Jobs in Macomb, MI

Brightwing

Business Analyst (1429032)

Auburn Hills, MI · On-site

$33 - $38/hr

... Business Analyst is responsible for data analysis and report generation on data collected by the ... SQL Intermediate experience using statistical/data software (QlikSense, SPSS, SAS, R, Python, etc ...

BorgWarner

Business Analyst

Auburn Hills, MI · Hybrid

TITLE : Business Analyst DUTIES : We seek a Business Analyst based out of our office at 3800 ... SQL, Java, or Python; 3 years experience working with data ingestion / integration tools like HVR ...

Cogent IBS

Python/SQL Developer

Auburn Hills, MI

$47.50 - $65.50/hr

Strong in Python and SQL. Should have automotive background and ... AI aptitude Should have Business background/requirement gathering /definition. Good in Analytical ...

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Business Analyst Sql R Python information

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How much do business analyst sql r python jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for business analyst sql r python in Macomb, MI is $45.90, according to ZipRecruiter salary data. Most workers in this role earn between $34.42 and $57.45 per hour, depending on experience, location, and employer.

What jobs can you get with SQL and Python?

Business analysts with SQL and Python skills can pursue roles such as data analyst, data scientist, business intelligence analyst, or data engineer. These positions involve data querying, analysis, automation, and reporting, often requiring familiarity with tools like SQL databases, Python libraries, and data visualization software.

What are Business Analyst SQL R Python roles?

Business Analyst SQL R Python roles refer to positions where professionals analyze business data and processes using tools such as SQL for database querying, and R or Python for statistical analysis and data visualization. These analysts help organizations make data-driven decisions by extracting, interpreting, and presenting insights from large datasets. They often work closely with stakeholders to understand business requirements and translate them into technical solutions. Proficiency in SQL, R, and Python allows them to efficiently manipulate data, build predictive models, and automate reporting tasks.

What are the key skills and qualifications needed to thrive as a Business Analyst with SQL, R, and Python expertise, and why are they important?

To thrive as a Business Analyst with SQL, R, and Python expertise, you need strong analytical skills, business acumen, and a background in data analysis or a related field. Proficiency with SQL for database querying, R and Python for data manipulation and statistical analysis, and familiarity with business intelligence tools are typically required. Excellent communication, problem-solving abilities, and stakeholder management skills help you translate complex data insights into actionable business strategies. These skills ensure you can extract, interpret, and present data-driven recommendations that support informed decision-making and drive business value.

Should I learn SQL or Python for business analyst?

For a Business Analyst role, learning SQL is essential for querying and managing databases, while Python is valuable for data analysis, automation, and visualization. Many employers expect proficiency in both, with SQL often being a foundational skill and Python enhancing analytical capabilities. Developing skills in both tools can improve job prospects and effectiveness in data-driven decision-making.

How do Business Analysts utilizing SQL, R, and Python typically collaborate with data engineering and product teams?

Business Analysts with SQL, R, and Python skills frequently work alongside data engineering teams to define data requirements, validate data pipelines, and ensure data quality for analysis. They also collaborate with product teams to translate business needs into actionable insights and develop data-driven recommendations. Regular communication is essential, as analysts often bridge the gap between technical and non-technical stakeholders, facilitating workshops or meetings to clarify requirements and present findings. This collaborative environment helps ensure that analytical solutions are both technically sound and aligned with business goals.

Is Python and SQL enough to get a job?

For a Business Analyst role involving SQL and Python, these skills are foundational but often not sufficient alone; employers typically seek additional skills such as data visualization, communication, and domain knowledge. Certifications, experience with data analysis tools, and understanding of business processes can improve job prospects. Continuous learning and expanding technical skills increase employability in this field.

Is Python good for business analysts?

Python is a valuable skill for business analysts, as it enables data analysis, automation, and visualization. Proficiency in Python, along with SQL and data tools, can improve efficiency and support data-driven decision-making in the role.
What job categories do people searching Business Analyst Sql R Python jobs in Macomb, MI look for? The top searched job categories for Business Analyst Sql R Python jobs in Macomb, MI are:
What cities near Macomb, MI are hiring for Business Analyst Sql R Python jobs? Cities near Macomb, MI with the most Business Analyst Sql R Python job openings:
Business Analyst Sql R Python jobs near you
Business Analyst (1429032)

Business Analyst (1429032)

Brightwing

Auburn Hills, MI • On-site

$33 - $38/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Job Description 80% ONSITE in Auburn Hills, MI- with potential to move to 100% ONSITE Within the Customer Care team, the Reporting Business Analyst is responsible for data analysis and report generation on data collected by the Customer Care team. The Reporting & Analytics team analyzes the data collected from these touchpoints to generate insights to help drive a positive ownership experience. The role is tasked with monitoring performance of operational goals.

It is also responsible for data analytics, predictive modeling, telephony analytics and development of reporting automation to drive efficiency. This role will be responsible for communicating with various stakeholders, including Vehicle Brands, Connected Services, Critical Customer Management and Contact Center Operations, to ensure that their data needs are met. This may also include preparing/delivering presentation materials for KPI performance and related topics for high level meetings.

The position will also identify opportunities to improve reporting and analytics capabilities and assist in system enhancement projects. The Reporting Analyst will focus on the following functions: Genesys Cloud telephony analysis and reporting (real-time, historical, IVR deflection analysis, etc.) Salesforce report development/maintenance of out of the box reports and dashboards Develop reporting automation to improve reporting efficiencies Create and maintain weekly and monthly Operational Performance reports to be shared with Global and Regional teams in a timely manner Provide input for CRM development to support contact reason identification, reporting capabilities and future analytics Development and ongoing maintenance of operational dashboards and reporting tools for Customer Care and contact center vendor management Responsible for timely analysis of customer information and contact drivers to support issue resolution and provide the Voice of the Customer to the Brands for future development of features and services Provide reporting to manage effectiveness of customer facing knowledge and self-service strategies Conduct data mining, build predictive models, and make recommendations to anticipate future customer demands and increase call center efficiencies and effectiveness Incorporate accurate integration of artificial intelligence/machine learning models into future enterprise strategies Requirements 80% ONSITE - with potential to move to 100% ONSITE Bachelor of Science Degree in Project Management, Business Administration, or Decision Science/Statistics 1-2 years of analytics experience Goal-oriented and self-directed Time Management High attention to detail for data auding purposes Strong verbal and written communication skills Knowledge of Genesys platform and reporting tools (PureEngage Cloud, Cloud CX) Knowledge of Salesforce and Salesforce reporting tools Demonstrated enthusiasm and ability to drive change Expert level proficiency in Microsoft Business Suite (Excel, PowerPoint, PowerBi) Able to prioritize and manage time to deliver business requests in a timely manner Detail-oriented to ensure high quality data is rendered Preferred Qualifications: Master's degree in above related area of study Demonstrated ability to learn and be proficient with new software applications Intermediate knowledge of DB2 SQL Intermediate experience using statistical/data software (QlikSense, SPSS, SAS, R, Python, etc.) Contract to hire opportunity

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