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Data Analyst Data Scientist Jobs in Fowler, IN (NOW HIRING)

Data Analyst

Attica, IN ยท On-site

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... Ability to read, analyze, and interpret common scientific and technical journals, financial reports ...

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... Ability to read, analyze, and interpret common scientific and technical journals, financial reports ...

Data Analyst

Attica, IN ยท On-site

The Data Analyst - Manufacturing is responsible for analyzing production and operational data to ... Ability to read, analyze, and interpret common scientific and technical journals, financial reports ...

Science Teacher

Morocco, IN

$43K - $56K/yr

... data analysis and the formulation of action plans. - Knowledge of applicable federal and state laws regarding education and students. - Ability to use computer network system and software ...

Science Teacher

Morocco, IN

$43K - $56K/yr

... data analysis and the formulation of action plans. - Knowledge of applicable federal and state laws regarding education and students. - Ability to use computer network system and software ...

Science Teacher

Morocco, IN ยท On-site

$43K - $56K/yr

... data analysis and the formulation of action plans. - Knowledge of applicable federal and state laws regarding education and students. - Ability to use computer network system and software ...

Science Teacher

Morocco, IN ยท On-site

$43K - $56K/yr

... data analysis and the formulation of action plans. - Knowledge of applicable federal and state laws regarding education and students. - Ability to use computer network system and software ...

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Data Analyst Data Scientist information

See Fowler, IN salary details

$42.2K

$151.2K

$223.1K

How much do data analyst data scientist jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data analyst data scientist in Fowler, IN is $151,209.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,300.00 and $155,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Data Scientist vs Data Engineer?

AspectData AnalystData ScientistData Engineer
CredentialsBachelor's in Analytics, Statistics, or related fieldsBachelor's/Master's in Computer Science, Statistics, or related fieldsBachelor's/Master's in Computer Engineering, Software Engineering, or related fields
Work EnvironmentBusiness intelligence teams, reporting, data visualizationAdvanced analytics, machine learning, predictive modelingData infrastructure, pipelines, database management
Industry UsageCommon in finance, marketing, healthcareUsed in research, product development, AI projectsIntegral to data infrastructure across industries

Data Analysts focus on interpreting data and creating reports, while Data Scientists develop models and algorithms. Data Engineers build and maintain the data infrastructure that supports both roles. Understanding these differences helps organizations assign the right tasks to the right professionals.

What are some common challenges data analyst data scientists face when collaborating with cross-functional teams?

Data Analyst Data Scientists often work closely with stakeholders from various departments, such as marketing, product, and engineering. A common challenge is translating complex data findings into actionable insights that non-technical team members can easily understand. Additionally, aligning on project goals and managing expectations regarding timelines and data availability can require strong communication and project management skills. Building relationships and fostering open dialogue are key to ensuring successful collaboration and impactful data-driven decision-making.

Can you go from a data analyst to a data scientist?

Yes, transitioning from a data analyst to a data scientist is common and often involves gaining advanced skills in machine learning, statistical modeling, and programming languages like Python or R. Many data scientists have backgrounds in data analysis but expand their expertise through additional training, certifications, or advanced degrees such as a master's in data science or related fields.

Can a data scientist work as a data analyst?

A data scientist can often work as a data analyst since both roles involve analyzing data, but data scientists typically have more advanced skills in machine learning, statistical modeling, and programming. Transitioning may require gaining experience with tools like SQL, Excel, and visualization software, and understanding business context. The roles can overlap, but data scientists usually handle more complex data modeling tasks than data analysts.

What are the key skills and qualifications needed to thrive as a data analyst or data scientist?

To thrive as a Data Analyst or Data Scientist, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with tools like Python, R, SQL, machine learning frameworks, and data visualization platforms such as Tableau or Power BI is essential, along with relevant certifications. Excellent problem-solving, communication, and critical thinking skills help translate data insights into actionable business strategies. These skills and qualities are important because they enable professionals to extract meaningful insights from complex data, driving informed decision-making and organizational success.
What cities near Fowler, IN are hiring for Data Analyst Data Scientist jobs? Cities near Fowler, IN with the most Data Analyst Data Scientist job openings:

Data Analyst

Harrison Steel Castings Co.

Attica, IN โ€ข On-site

Full-time

Re-posted 19 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 ResponsibilitiesCollect, validate, and analyze data from manufacturing systems, including production equipment, ERP systems, quality systems, and other operational sourcesEvaluate current work processes to determine workflow, time requirements, cost drivers, and production durationsIdentify process inefficiencies, bottlenecks, and opportunities for improvement using data analysis and established engineering methodsDevelop and implement strategies and programs to improve productivity, efficiency, and overall operational performanceSupport process optimization efforts by analyzing workflows and recommending improvements to increase throughput and reduce wasteAssist in determining optimal process settings and operational parameters to improve output and control costsAnalyze equipment performance data to support predictive maintenance efforts and reduce unplanned downtimeWork with maintenance and operations teams to identify trends and recommend preventative actions to extend equipment lifeAnalyze quality data to identify defect patterns and root causesInstruct and support employees in continuous improvement efforts, including process mapping, root cause analysis, and cost/time analysis techniquesFacilitate team-based improvement activities to strengthen collaboration and improve resultsDevelop and coordinate programs to recognize and reward employee contributions to process improvement initiativesQualificationsBachelor's degree in Data Analytics, Industrial Engineering, Manufacturing Engineering, Economics, or a related fieldProficiency in Microsoft Excel and data analysis tools; experience with SQL, or similar systems preferredWorking knowledge of manufacturing processes and continuous improvement methodologiesSkills and CompetenciesStrong analytical and problem-solving skillsAbility to interpret data and provide practical, actionable recommendationsEffective communication and training skillsStrong attention to detail and accuracyAbility to work independently and within cross-functional teamsLanguage 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 neededSupervisory 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.
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