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Internship Data Analyst Sql Excel Jobs in Michigan

Strong SQL skills * Proficiency in Excel * Experience with Tableau or Power BI * Understanding of data validation concepts * Exposure to retail or ecommerce data * Strong analytical skills Skills ...

Sr. Data Analyst

Detroit, MI · Hybrid

$85K - $107K/yr

... SQL and Python proficiency Statistics, forecasting, experimentation, and decision analytics Knowledge of data engineering concepts, ETL/ELT, data modeling, APIs, cloud platforms, and data quality ...

Clean, transform, and integrate data from multiple sources using Power Query and SQL. * Analyze ... Advanced Excel skills, including Pivot Tables, Power Query, lookups, and data analysis functions.

Microsoft Office Suite (Excel, Word, PowerPoint) * Visual Basic for Applications (VBA) * Tableau ... Oracle PL/SQL, Oracle DBMS, Hadoop DBMS * HTML, CSS, JavaScript * Strong experience navigating ...

Sr Data Analyst

Midland, MI · On-site

$73K - $93K/yr

Writing complex queries, designing database schemas, creating T-SQL/PL/SQL scripts, stored procedures, and functions. Expertise in data analysis tools: Python, R, Power BI, Tableau, Excel (advanced ...

Required : • 3+ years of experience in data analytics or business intelligence • Strong SQL ... in Microsoft Office (Excel, PowerPoint) • Strong analytical and problem-solving skills • ...

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

Role: Data Analyst Location: Warren, MI (Hybrid) Duration: Long term Rate: Market Key ... Proficient in Power BI and SQL for data modeling, transformation, and visualization * Experience ...

Position-Specific Overview Data Analysts will support a U.S. Government client in developing data ... Relevant experience includes Python, SQL, JavaScript/TypeScript, ETL/ELT, low-code development ...

Data Analyst

Southfield, MI · On-site

$70 - $90/hr

SQL skills for querying relational databases * Experience with complex data analysis * Performing data manipulation and statistical analysis * Strong analytical skills with ability to understand and ...

... analyzing programs, processes, and procedures to extract, transform, integrate, and load data into ... MS SQL Server 2012) Knowledge of logical data modeling, distributed systems, IT architecture ...

Data Analyst III

Livonia, MI · On-site

$90 - $120/hr

Utilize statistical techniques and data analysis tools (i.e., Python, R, SQL) to gather, clean, analyze, and provide recommendations regarding large datasets from various sources, identifying trends ...

We are seeking an Analytics Engineer (contract) to support development of scalable analytics ... Success in this position requires strong SQL skills, experience with dbt-based data modeling, and ...

Senior Data Analyst

Lansing, MI

$78K - $98K/yr

Write SQL queries to extract, transform, and analyze data from internal systems * Perform data validation, cleansing, and consistency checks * Build analytics and dashboards using data from ...

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Internship Data Analyst Sql Excel information

What does an internship data analyst specializing in SQL and Excel do?

An Internship Data Analyst with skills in SQL and Excel assists in collecting, processing, and analyzing data to help organizations make informed decisions. They use SQL to query and manage databases, extracting relevant data for analysis. Excel is used to organize, visualize, and interpret data through functions, formulas, and charts. Interns may also help prepare reports and presentations based on their findings. This role provides hands-on experience in data analysis, which is valuable for a future career in data science or analytics.

What types of projects or tasks can I expect to work on as an internship data analyst specializing in SQL and Excel?

As an Internship Data Analyst with a focus on SQL and Excel, you will typically assist with extracting, cleaning, and analyzing data from various sources to support business decisions. Your daily tasks may include writing SQL queries to retrieve data, creating and maintaining Excel reports, and visualizing data for presentations. You might also collaborate with senior analysts or business teams to identify trends or prepare ad hoc analyses. This hands-on experience gives you exposure to real-world data challenges and can help you develop both technical and communication skills in a professional setting.

What are the key skills and qualifications needed to thrive as an internship data analyst with SQL and Excel, and why are they important?

To thrive as an Internship Data Analyst specializing in SQL and Excel, you need a solid understanding of data analysis, statistics, and database management, often supported by coursework in data science or related fields. Proficiency in SQL for querying databases and advanced Excel skills for data manipulation and visualization are essential technical tools. Attention to detail, problem-solving, and effective communication are standout soft skills for interpreting data and presenting insights. These skills ensure accurate data-driven decision-making and clear reporting, which are critical for supporting organizational goals in a fast-paced business environment.

What is the difference between Internship Data Analyst Sql Excel vs Junior Data Analyst?

AspectInternship Data Analyst Sql ExcelJunior Data Analyst
QualificationsEnrolled in or recent graduate of related degree, basic SQL and Excel skillsBachelor's degree in related field, proficiency in SQL and Excel
Work EnvironmentInternship setting, supervised, entry-level projectsFull-time position, more independent responsibilities
ResponsibilitiesAssisting with data collection, basic analysis, learning on the jobPerforming data analysis, reporting, and supporting decision-making

The main difference between Internship Data Analyst Sql Excel and Junior Data Analyst lies in experience level and responsibilities. Internships are typically temporary, supervised roles for students or recent graduates, focusing on learning and assisting. Junior Data Analysts are full-time employees with more independence and complex tasks, requiring a higher level of proficiency and experience.

What are the most commonly searched types of Data Analyst Sql Excel jobs in Michigan?

The most popular types of Data Analyst Sql Excel jobs in Michigan are:

What are popular job titles related to Internship Data Analyst Sql Excel jobs in Michigan?

For Internship Data Analyst Sql Excel jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Internship Data Analyst Sql Excel jobs in Michigan look for?

The top searched job categories for Internship Data Analyst Sql Excel jobs in Michigan are:

What cities in Michigan are hiring for Internship Data Analyst Sql Excel jobs?

Cities in Michigan with the most Internship Data Analyst Sql Excel job openings:

Infographic showing various Internship Data Analyst Sql Excel job openings in Michigan as of June 2026, with employment types broken down into 1% As Needed, 91% Full Time, 7% Part Time, and 1% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Data Analyst (SQL / Business Intelligence)

DACUT

West Bloomfield, MI

Other

Posted 26 days ago


Job description

Position Description: About the RoleAt DACUT Cannabis, data is not just reporting—it is the foundation of how we operate, improve, and scale.We are seeking a highly analytical and detail-driven Data Analyst (SQL / Business Intelligence) to support reporting, analytics, and operational visibility across retail, cultivation, processing, and corporate functions.This role is responsible for transforming raw data into clear, actionable insights that drive performance, compliance, and decision-making across the organization. You will work closely with executive leadership and cross-functional teams to ensure data is accurate, accessible, and meaningful.The ideal candidate is passionate about solving business problems through data, enjoys working with large datasets, and can communicate complex findings in a way that helps teams make better decisions.Essential ResponsibilitiesData Extraction & Query DevelopmentWrite and maintain SQL queries to extract data from internal systems, including POS, inventory, compliance, and financial systems.Work directly with databases to retrieve, join, clean, and structure datasets for reporting and analysis.Ensure the accuracy, consistency, and reliability of data across multiple business systems.Optimize SQL queries and reporting processes for performance and scalability.Reporting & Dashboard DevelopmentBuild, maintain, and enhance dashboards using Power BI or similar business intelligence platforms.Create automated reporting solutions that improve efficiency and increase visibility across the organization.Develop standardized reporting across all business units, including:Sales performanceInventory tracking and shrinkCompliance metricsOperational performanceLabor performanceBusiness & Operational AnalysisAnalyze sales, inventory, labor, and operational trends across multiple retail and production facilities.Identify patterns, inefficiencies, risks, and opportunities for operational improvement.Provide executive leadership with data-driven insights and actionable recommendations.Translate complex datasets into meaningful business intelligence that supports strategic decision-making.Cross-Functional CollaborationPartner closely with Retail, Cultivation, Processing, Finance, Human Resources, and Executive Leadership.Gather reporting requirements and translate business needs into scalable reporting solutions.Support continuous improvement initiatives through data analysis and operational reporting.Present findings and recommendations to both technical and non-technical stakeholders.Data Quality & IntegrityValidate, audit, and reconcile data to ensure accuracy and reliability.Identify and resolve data discrepancies in partnership with internal departments.Support the development of standardized reporting definitions, documentation, and data governance practices.Continuously improve reporting accuracy and data integrity across all business systems.QualificationsRequiredMinimum of 2 years of experience in Data Analysis, Business Intelligence, or Analytics.Strong proficiency with SQL, including queries, joins, aggregations, and data transformation.Experience with Power BI, Tableau, or similar data visualization platforms.Experience working with large datasets and enterprise reporting systems.Strong analytical, critical thinking, and problem-solving skills.Excellent attention to detail and commitment to data accuracy.Ability to clearly communicate technical information to non-technical stakeholders.Strong organizational skills and the ability to manage multiple priorities.PreferredExperience within cannabis, retail, manufacturing, distribution, or other highly regulated industries.Familiarity with POS systems, inventory management systems, or compliance platforms.Experience with ERP, CRM, payroll, or financial business systems.Experience developing executive dashboards and KPI reporting.Understanding of business process improvement and operational analytics.Key CompetenciesAnalytical ThinkingSystems ThinkingAttention to DetailCommunication & CollaborationOwnership & AccountabilityProblem SolvingBusiness AcumenWhat We OfferCompetitive salary based on experienceMedical, dental, and vision insurancePaid Time OffEmployee discount programCareer advancement opportunities within a rapidly growing organizationCollaborative and innovative work environmentOpportunity to work across retail, cultivation, processing, and corporate operationsDirect impact on executive decision-making and company performanceOpportunity to help build the foundational analytics and reporting infrastructure for one of Michigan's fastest-growing cannabis companiesApply TodayIf you're passionate about data, business intelligence, and turning information into meaningful business decisions, we'd love to hear from you. Join DACUT Cannabis and help build the analytics systems that drive smarter operations, stronger performance, and continued growth across our organization.