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Internship Data Analyst Sql Excel Jobs in Indiana

Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferred * Working knowledge of manufacturing processes and continuous improvement methodologies ...

Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferred * Working knowledge of manufacturing processes and continuous improvement methodologies ...

Data Analyst

Indianapolis, IN · On-site

$75 - $110/hr

Advanced Data Analytics and AI-driven platforms. * Cybersecurity and risk management. Recognized ... Write and optimize SQL queries against large-scale (Big Data) datasets, including data processed ...

Data Analyst

Indianapolis, IN · On-site

$27 - $32/hr

SQL. * Python. * BI tools. * EP Evaluator. * Microsoft Excel. * Database structures. * CLIA regulations. * CAP regulatory requirements. * Clinical data management. Qualification And Education:

... with SQL. • Demonstrated experience with SAS and either R or Python, including data cleaning ... Excel, Word, and PowerPoint. • Effective time management and program management skills. • ...

Strong software skills in Excel, Access, SQL, and Visual Basic Desired Qualifications: * Bachelor's degree in Information Technology, Data Analytics, related field, plus 3-5 years of experience

Data Analyst - Poland

Warsaw, IN · On-site

$70 - $90/hr

Tickmill is looking to hire a Data Analyst to mainly collaborate with stakeholders and Product ... Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to ...

Data & IT Analyst

Warsaw, IN · On-site

$60 - $85/hr

Write and maintain T-SQL and PL/SQL queries used for reporting, analysis, troubleshooting, and ad hoc data requests. * Pull and validate data for business users, providing meaningful context and ...

Experienced user of Microsoft Office applications such as Excel, PowerPoint, and Project. Must be ... Knowledge of JDE, DCS, and MAPICS systems and SQL aplus. Additional Information Must be able to ...

$45K - $55K/yr

We're looking for a Senior Data Analyst to own analyses end to end, build durable reporting ... SQL & Analysis: Write, optimize, and maintain complex SQL against our Snowflake warehouse to answer ...

Possess a solid foundation in statistics and practical experience with statistical software (such as Excel and Power BI) and mastery in data analysis languages including SQL, Python, and R

Showing results 21-40

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 Indiana?

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

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

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

Full-time

Re-posted 15 days ago


Job description

The Data Analyst – Manufacturing is responsible for analyzing production and operational data to support efficient, cost-effective, and high-quality manufacturing processes. This role combines data analytics with process improvement practices to identify opportunities for increased productivity, reduced waste, and improved performance across operations. The position supports a proactive, data-driven approach to decision-making within the organization.

Essential Duties and Responsibilities

  • Collect, validate, and analyze data from manufacturing systems, including production equipment, ERP systems, quality systems, and other operational sources
  • Evaluate current work processes to determine workflow, time requirements, cost drivers, and production durations
  • Identify process inefficiencies, bottlenecks, and opportunities for improvement using data analysis and established engineering methods
  • Develop and implement strategies and programs to improve productivity, efficiency, and overall operational performance
  • Support process optimization efforts by analyzing workflows and recommending improvements to increase throughput and reduce waste
  • Assist in determining optimal process settings and operational parameters to improve output and control costs
  • Analyze equipment performance data to support predictive maintenance efforts and reduce unplanned downtime
  • Work with maintenance and operations teams to identify trends and recommend preventative actions to extend equipment life
  • Analyze quality data to identify defect patterns and root causes
  • Instruct and support employees in continuous improvement efforts, including process mapping, root cause analysis, and cost/time analysis techniques
  • Facilitate team-based improvement activities to strengthen collaboration and improve results
  • Develop and coordinate programs to recognize and reward employee contributions to process improvement initiatives

Qualifications

  • Bachelor's degree in Data Analytics, Industrial Engineering, Manufacturing Engineering, Economics, or a related field
  • Proficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferred
  • Working knowledge of manufacturing processes and continuous improvement methodologies

Skills and Competencies

  • Strong analytical and problem-solving skills
  • Ability to interpret data and provide practical, actionable recommendations
  • Effective communication and training skills
  • Strong attention to detail and accuracy
  • Ability to work independently and within cross-functional teams

Language Ability:

Ability to read, analyze, and interpret common scientific and technical journals, financial reports, and legal documents. Ability to respond to common inquiries or complaints from customers, regulatory agencies, or members of the business community.

Math Ability:

Ability to apply advanced mathematical concepts such as exponents, logarithms, quadratic equations, and permutations. Ability to apply mathematical operations to such tasks as frequency distribution, determination of test reliability and validity, analysis.

Reasoning Ability:

Ability to define problems, collect data, establish facts, and draw valid conclusions. Ability to interpret an extensive variety of technical instructions in mathematical or diagram form and deal with several abstract and concrete variables.

Computer Skills:

Advanced working knowledge of Microsoft Office Suite required.

Certificates and Licenses:

No certifications needed

Supervisory Responsibilities:

This job has no supervisory responsibilities.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

While performing the duties of this job, the employee is frequently exposed to work near moving mechanical parts; fumes or airborne particles and toxic or caustic chemicals. The employee is occasionally exposed to wet or humid conditions (non-weather); work in high, precarious places; outdoor weather conditions and vibration.

The noise level in the work environment is usually moderate, occasionally loud or very loud.

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The employee must frequently lift and/or move up to 10 pounds and occasionally lift and/or move up to 50 pounds. Specific vision abilities required by this job include Close vision, Distance vision, Color Vision, Peripheral vision, Depth perception and Ability to adjust focus. While performing the duties of this Job, the employee is regularly required to use hands to finger, handle, or feel; reach with hands and arms; talk or hear and taste or smell. The employee is frequently required to stand and walk. The employee is occasionally required to sit; climb or balance and stoop, kneel, crouch, or crawl.