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Data Analyst Coach Jobs in Indiana (NOW HIRING)

Purdue University

Data Analyst

West Lafayette, IN · On-site

Data Analyst City: West Lafayette Job Summary The Institutional Data Analytics + Assessment (IDA+A ... Mentor and coach analytics colleagues; review and guide others' work * Provide measurable input ...

Pwc

Data Strategy-Manager

Indianapolis, IN · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... analytics solutions - Coaching and collaborating with team members Travel Requirements Up to 80 ...

Pwc

Data Governance- Manager

Indianapolis, IN · On-site

$99K - $232K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... You are responsible for coaching, leveraging team member's unique strengths, and managing ...

Pwc

Data Strategy-Senior Manager

Indianapolis, IN · On-site

$124K - $280K/yr

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract ... You motivate and coach others, coming together to solve complex problems. As you increase in ...

Pwc

AI & GenAI Data Scientist - Manager

Indianapolis, IN · On-site

$99K - $232K/yr

... data analysis and data modeling techniques - Excelling in coaching and mentoring team members - Embracing change and innovation in technology consulting - Developing skills in neural networks and ...

Gary Community School Corporation

Attendance Coach

Gary, IN · On-site

$18.50 - $24/hr

The Attendance Coach serves as both an advocate and accountability partner, ensuring that ... Key Responsibilities Attendance Monitoring & Data Analysis * Monitor daily attendance data and ...

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Data Analyst Coach information

What are the key skills and qualifications needed to thrive as a Data Analyst Coach, and why are they important?

To thrive as a Data Analyst Coach, you need a solid background in data analysis, statistics, and teaching or mentoring, often supported by a degree in a quantitative field and relevant industry experience. Familiarity with analytics tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI, as well as instructional certifications, is typically expected. Outstanding communication, patience, and the ability to give constructive feedback are crucial soft skills for effectively guiding learners. These skills ensure you can translate complex data concepts into accessible lessons, fostering both technical growth and confidence in your mentees.

What are some common challenges Data Analyst Coaches face when supporting new analysts, and how can they overcome them?

Data Analyst Coaches often encounter challenges such as varying skill levels among trainees, helping individuals adapt to rapidly changing analytical tools, and bridging the gap between theoretical concepts and real-world application. To overcome these, coaches should tailor their guidance to individual learning needs, stay updated on industry trends, and create practical, hands-on learning opportunities. Encouraging open communication and fostering a collaborative environment also helps new analysts feel supported and confident as they build their skills.

What is the difference between Data Analyst Coach vs Data Analyst?

AspectData Analyst CoachData Analyst
CredentialsOften requires experience in data analysis and coaching certificationsTypically requires a degree in data science, statistics, or related field
Work EnvironmentFocuses on training, mentoring, and developing data analystsPerforms data analysis, reporting, and data management tasks
Employer & IndustryUsed in organizations with training programs or analytics teamsFound across industries performing data-driven roles
Search & Comparison IntentOften searched by those seeking coaching or mentorship rolesCommonly searched by individuals looking for data analysis roles

The main difference is that a Data Analyst Coach focuses on mentoring and training data analysts, while a Data Analyst performs hands-on data analysis tasks. The coach role emphasizes skill development and team support, whereas the analyst role centers on analyzing data to inform business decisions.

What are the 4 types of data?

In data analysis, the four main types of data are nominal, ordinal, interval, and ratio. These categories help analysts understand the nature of data and choose appropriate statistical methods; for example, ratio data has a true zero point, which is important for certain calculations. Recognizing data types is essential for accurate analysis and reporting in a data analyst role.

What is a Data Analyst Coach?

A Data Analyst Coach is a professional who helps individuals or teams develop and improve their data analysis skills. They provide guidance on data analytics tools, techniques, and best practices, often through personalized mentoring, workshops, and feedback on real-world projects. Data Analyst Coaches work with clients to identify skill gaps, set learning goals, and support their growth in areas such as data visualization, statistical analysis, and problem-solving. Their goal is to empower others to make data-driven decisions and succeed in data-focused roles.

What is the definition of data?

Data, in the context of a Data Analyst Coach, refers to raw facts, figures, or information collected from various sources that can be processed and analyzed to generate insights. It includes numbers, text, images, or other representations used to support decision-making and reporting. Proficiency in tools like Excel, SQL, or data visualization software is often essential for managing and interpreting data effectively.

Does data mean internet?

Data analysis involves examining and interpreting data, which can come from various sources including the internet, databases, or internal systems. A Data Analyst Coach helps individuals develop skills in tools like Excel, SQL, and data visualization to work with different data types, not just internet data.

How much data do I have left?

As a Data Analyst Coach, the amount of data you have left depends on your data sources, storage capacity, and project scope. Typically, data availability is determined by your organization's data management policies and the tools you use, such as databases or cloud storage. Regular monitoring of data pipelines and storage limits helps ensure you know your remaining data capacity.
What are popular job titles related to Data Analyst Coach jobs in Indiana? For Data Analyst Coach jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Analyst Coach jobs in Indiana look for? The top searched job categories for Data Analyst Coach jobs in Indiana are:
What cities in Indiana are hiring for Data Analyst Coach jobs? Cities in Indiana with the most Data Analyst Coach job openings:
Data Analyst Coach jobs near you
Data Analyst

Data Analyst

Purdue University

West Lafayette, IN • On-site

Full-time

Retirement

Posted 20 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

263rd of 535 rated colleges and universities

Job description

Req Id: 42215
Job Title: Data Analyst
City: West Lafayette
Job Description:
Job Summary
The Institutional Data Analytics + Assessment (IDA+A) office is seeking a Data Analyst (P@), Senior Data Analyst (P3), or Lead Data Analyst (P4). This role supports high-visibility institutional priorities through advanced analytics, reporting, and strategic insight, enabling leaders to make informed decisions that impact students, faculty, and operations at scale.
In this role, you will contribute to research, statistical analysis, report development, dashboard creation, and evidence-based decision support. Working closely with a broad range of campus stakeholders, you will support data-informed decision-making for both day-to-day operations and broader institutional initiatives.
This position will be filled at the appropriate career level (P2, P3, or P4) based on the selected candidate's skills and experience. Responsibilities, scope, and influence increase with level. All levels emphasize collaboration, teamwork, and the delivery of clear, insightful, actionable, and customer-focused analytics. Depending on level, you will work alongside analytics colleagues (P2), mentor and influence peers (P3), or lead complex initiatives and set analytical standards (P4), while partnering closely with staff in assessment, data engineering, data science, and data governance.
Fully remote and hybrid work options are available.
For full consideration, an attached resume and cover letter are required.
This posting represents multiple vacancies.
Responsibilities
  • P2 (Data Analyst): Executes analyses, builds reports, develops technical skills
  • P3 (Senior): Leads projects, mentors peers, improves data quality and practices
  • P4 (Lead): Drives strategy, leads large initiatives, sets standards across domains

Support Data and Information Needs (All Levels)
  • Deliver timely, accurate routine and ad hoc reports, dashboards, and analyses
  • Create and maintain curated data sets to support reporting and analytics
  • Conduct descriptive, summary, and statistical analyses (e.g., regression, ANOVA)
  • Interpret results and communicate findings clearly to technical and non-technical stakeholders
  • Independently complete analytical projects of increasing complexity based on level

Training, Documentation, and Metadata (All Levels)
  • Author and maintain metadata, data definitions, and technical specifications
  • Contribute to training materials and documentation supporting data fluency
  • Provide system administration support for the Data Cookbook and enterprise metadata tools

Participate in the Purdue Data Community (All Levels)
  • Collaborate with campus data partners to enhance data quality and shared understanding
  • Communicate effectively with stakeholders across functional and technical areas
  • Model best practices in data stewardship, documentation, and responsible data use

Enhance Data Quality and Analytical Standards (P3 & P4)
  • Collaborate with campus partners to improve data quality through enhancements and process improvements
  • Resolve complex data quaity issues spanning multiple subject areas or systems
  • Develop and execute validation plans for new data sets and business intelligence updates
  • Influence adoption of standards, best practices, and consistent analytical approaches

Strategic Partnership & Leadership (P3 & P4)
  • Build deep understanding of functional areas such as Enrollment Management Communications, the Registrar, Admissions, and/or Financial Aid
  • Translate functional needs into tailored analytical solutions
  • Serve as a trusted analytics partner for assigned domains

Leadership & Impact (P4)
  • Lead large, complex, and often ambiguous analytics initiatives with cross-departmental impact
  • Set analytical standards and guide approaches for reporting, validation, and data use
  • Mentor and coach analytics colleagues; review and guide others' work
  • Provide measurable input into planning, prioritization, and strategic initiatives
  • Serve as a subject-matter expert representing IDA+A in campus-wide efforts

What We're Looking For:
  • Bachelor's degree
  • Experience in data extraction, processing, visualization, and analysis:
  • P2: 2+years (a full-time internship may count toward experience)
  • P3: 4+years
  • P4: 6+years
  • Strong communication skills, including presenting findings and maintaining documentation
  • Ability to work effectively with stakeholders at all organizational levels
  • Ability to handle sensitive and confidential data responsibly
  • Experience with BI tools (Tableau preferred)
  • Knowledge of relational databases and reporting tools (SQL and Cognos preferred)
  • Experience conducting statistical analysis (e.g., SAS, SPSS, Minitab)
  • Strong attention to detail, quality, and self-directed work

What Is Helpful:
Applicants are not expected to meet every preferred qualification.
  • Degree in Business, Management, Financial Management, MIS, CIT, Math/Statistics, Behavioral & Social Sciences, or a related field
  • Master's degree
  • Experience with SQL, Tableau, Cognos, SAS, SPSS, Minitab, R. Python, Excel, and PowerPoint
  • Experience supporting higher education data, analytics, or reporting environments
  • Experience using generative AI tools to support analytical workflows (e.g., documentation, exploratory analysis, summarization), with attention to responsible and ethical use

What We Want You To Know:
  • Fully remote and hybrid work options are available
  • This posting represents multiple vacancies
  • For full consideration, an attached resume and cover letter are required
  • Purdue will not sponsor employment authorization for this position
  • A background check is required for employment in this position
  • FLSA: Exempt (Not eligible for overtime)
  • Retirement Eligibility: Defined Contribution Waiting Period
  • Purdue University is an EO/EA University.

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