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Data Analytics Business Intelligence Jobs in Indiana

Manager, Data & Analytics Department: Technology FLSA Status: Exempt Salary: $60,000 - 70,000 Key ... Own the day-to-day relationship with the Dexibit business intelligence platform, ensuring the data ...

This role is responsible for establishing and executing the enterprise data strategy across data architecture, engineering, governance, quality, business intelligence, self-service analytics, and AI ...

Bachelor's degree or equivalent practical experience in a quantitative field (Statistics, Data Science, Business Analytics, or related) * 3+ years of data analysis / business intelligence experience

Bachelor's degree or equivalent practical experience in a quantitative field (Statistics, Data Science, Business Analytics, or related) * 3+ years of data analysis / business intelligence experience

Why Join Us As a Manager of Business Intelligence, you'll join a purpose-driven organization where ... Ensure effective coordination across BI, Analytics Engineering and Data Engineering teams * Ensure ...

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Data Analytics Business Intelligence information

What is the difference between Data Analytics Business Intelligence vs Data Analyst?

AspectData Analytics Business IntelligenceData Analyst
CredentialsTypically requires a degree in IT, Computer Science, or related fields; certifications like Tableau, Power BI, or SQL are commonUsually needs a degree in Statistics, Mathematics, or related fields; certifications like Excel, SQL, or Tableau are beneficial
Work EnvironmentOften involves working with BI tools, dashboards, and reporting platforms in corporate settingsFocuses on data cleaning, analysis, and visualization, often in office or remote environments
Employer & Industry UsageUsed across industries for strategic decision-making, reporting, and data visualizationUsed in various sectors for data interpretation, reporting, and supporting business decisions

While both roles involve working with data, Data Analytics Business Intelligence focuses on creating dashboards and reports to support strategic decisions, whereas Data Analysts primarily analyze data sets to uncover insights and trends. Both roles require similar skills and certifications but differ in their primary focus and tools used.

Can a data analytics business intelligence analyst become a data analytics business intelligence analyst?

A data analytics business intelligence analyst can advance or transition within the same role by gaining additional skills, certifications, or experience in areas like data visualization tools, SQL, or data warehousing. Career progression often involves increasing responsibilities, such as moving into senior or managerial positions, or specializing in specific tools or industries.

Is data analytics and business intelligence a good career?

Data analytics and business intelligence are strong career options due to high demand for data-driven decision making across industries. Roles typically require skills in data visualization tools, SQL, and statistical analysis, with opportunities for advancement and competitive salaries.

What are the most commonly searched types of Data Analytics Business Intelligence jobs in Indiana?

The most popular types of Data Analytics Business Intelligence jobs in Indiana are:

What are popular job titles related to Data Analytics Business Intelligence jobs in Indiana?

For Data Analytics Business Intelligence jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Data Analytics Business Intelligence jobs in Indiana look for?

The top searched job categories for Data Analytics Business Intelligence jobs in Indiana are:

What cities in Indiana are hiring for Data Analytics Business Intelligence jobs?

Cities in Indiana with the most Data Analytics Business Intelligence job openings:

Manager of Data Analytics

Indianapolis, IN • On-site

$60K - $70K/hr

Full-time

Re-posted 5 days ago


Job description

Job Title: Manager, Data & Analytics 

Department: Technology 

FLSA Status: Exempt

Salary: $60,000 - 70,000

Key Responsibilities

  • Serve as the primary steward of data quality and governance across institutional systems, identifying and resolving inconsistent definitions, duplicated metrics, and fragmented data sources.
  • Own the day-to-day relationship with the Dexibit business intelligence platform, ensuring the data feeding it is accurate, well-structured, and trusted by end users.
  • Design and manage a centralized data lake architecture to consolidate institutional data.
  • Partner with department leaders across the institution to understand their reporting and analytics needs, and translate those needs into consistent, reusable dashboards and data structures.
  • Build and maintain institutional KPI reporting, including Board metrics, in partnership with the Chief Operating Officer.
  • Support evaluation and integration of visitor and guest data sources, the guest ticketing/CRM stack.
  • Establish documented data definitions and stewardship practices for top institutional metrics (attendance, membership, revenue, visitation, program participation).
  • Identify opportunities to reduce manual, spreadsheet-based reporting in favor of governed, repeatable analytics processes.
  • Act as a proactive analytics business partner to every department, following the ITBP service model rather than functioning as a reactive request queue.
  • Escalate significant data quality, integration, or system-fragmentation issues to Technology leadership with recommended remediation.

Education & Experience

  • Bachelor's degree in a relevant field (data analytics, information systems, statistics, business, or related discipline), or equivalent professional experience.
  • 3-5+ years of experience in data analysis, business intelligence, or data management, ideally including experience untangling fragmented or inconsistent data environments
  • Experience with BI/visualization platforms (e.g., Dexibit, Tableau, Power BI, Looker) and relational data concepts; direct experience with Dexibit is a plus but not required.
  • Nonprofit, cultural institution, hospitality, or attractions-industry experience is a plus, particularly with visitation, ticketing, or membership data.