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Data Analyst In Creative Industries Jobs in Indiana

Data Analyst, Sr

Evansville, IN · On-site

$60K - $121K/yr

With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the ... We are looking for an innovative senior data analytics developer who has a knack for seeing ...

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

Description At CSpring, we believe in the power of people and data to drive real-world impact. We ... Engage with business and technical stakeholders to gather, analyze, document, define, and ...

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

At CSpring, we believe in the power of people and data to drive real-world impact. We're a purpose ... Engage with business and technical stakeholders to gather, analyze, document, define, and ...

Senior Data Analyst

Indianapolis, IN · On-site

$82K - $103K/yr

At CSpring, we believe in the power of people and data to drive real-world impact. We're a purpose ... Engage with business and technical stakeholders to gather, analyze, document, define, and ...

Experience in medical device or pharmaceutical industries preferred * Ability to work independently ... data analytics, or equivalent combination. Advanced degree preferred. * Minimum of two years of ...

Data Analyst, Sr

Evansville, IN · On-site

$82K - $103K/yr

They are seeking a Senior Data Analyst to lead data projects, develop reporting solutions, and ... Required : • Bachelor's degree in related field; advanced coursework/training related to computer ...

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

Description At CSpring, we believe in the power of people and data to drive real-world impact. We ... Engage with business and technical stakeholders to gather, analyze, document, define, and ...

... in data analysis, reporting, and platform data extraction-particularly within ServiceNow and ... talent across all industries utilizing a complete suite of staffing services. Beacon Hill ...

The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data analysis and data governance within a fast-paced, collaborative work environment. Working alongside the ...

The Data Analysis Intern will have the opportunity to gain valuable hands-on experience in data analysis and data governance within a fast-paced, collaborative work environment. Working alongside the ...

You'll thrive in a culture of belonging where you and your unique viewpoint matter. And by ... The Logistics Analyst will use analytical tools to extract, validate, and organize logistics data ...

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Data Analyst In Creative Industries information

How does a Data Analyst in the creative industries typically collaborate with designers and content creators?

A Data Analyst working in creative industries often serves as a bridge between raw data and the creative team’s decision-making processes. They collaborate closely with designers, marketers, and content creators by translating analytics into actionable insights, such as identifying audience preferences or optimizing campaign performance. Regular meetings, brainstorming sessions, and clear communication are key, as analysts must convey complex data findings in ways that inform creative strategies without stifling innovation. This collaborative approach helps ensure that creative outputs are both data-driven and aligned with brand goals.

Which industry pays the highest data analyst?

Data analysts in the finance and technology industries tend to earn the highest salaries due to the complexity and volume of data they handle. Creative industries generally offer lower salaries, but roles may require strong skills in data visualization tools and industry-specific knowledge. Compensation varies based on experience, location, and company size.

What does a Data Analyst do in the creative industries?

A Data Analyst in the creative industries gathers, processes, and interprets data to help organizations make informed decisions about content, marketing, and audience engagement. They work with data from various sources such as social media, sales, audience metrics, and digital platforms to identify trends and measure the effectiveness of creative projects. Their insights help creative teams optimize campaigns, target the right audiences, and improve the overall impact of their work. By turning complex data into actionable recommendations, they bridge the gap between creativity and business strategy.

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

To thrive as a Data Analyst in Creative Industries, you need strong analytical skills, a solid understanding of data visualization, and proficiency in statistics, usually supported by a relevant degree in data science, statistics, or a related field. Experience with tools like Excel, SQL, Tableau, Python, and familiarity with creative-specific platforms or datasets is highly valuable. Creativity, effective communication, and the ability to collaborate with both technical and non-technical teams help you bridge the gap between data and creative decision-making. These skills are essential for translating complex data into actionable insights that drive innovation and strategic direction in creative environments.

Which industry is best for data analysts?

Data analysts are in demand across many industries, including finance, healthcare, technology, and marketing, where they analyze large datasets to inform decision-making. The best industry depends on the analyst's skills, interests, and familiarity with specific tools like SQL, Excel, or Python, as well as industry-specific knowledge. Creative industries also value data analysts for audience insights and campaign optimization.

What does a creative analyst do?

A creative analyst in the creative industries examines data related to artistic projects, marketing campaigns, and audience engagement to inform strategic decisions. They use tools like Excel, Tableau, or SQL to analyze trends, measure performance, and support content development, often working closely with marketing and creative teams.

Is AI replacing data analysts?

AI tools are automating certain data processing and analysis tasks, but data analysts in creative industries are still essential for interpreting insights, making strategic decisions, and applying domain knowledge. AI enhances productivity but does not fully replace the need for human judgment and expertise in complex or nuanced analysis. Developing skills in data visualization, programming, and AI tools remains valuable for data analysts in this field.

What is the difference between Data Analyst In Creative Industries vs Data Scientist In Creative Industries?

AspectData Analyst In Creative IndustriesData Scientist In Creative Industries
Required CredentialsBachelor's in Data, Statistics, or related field; proficiency in Excel, SQL, visualization toolsBachelor's or higher in Data Science, Computer Science, or related; knowledge of machine learning, programming languages like Python or R
Work EnvironmentCreative agencies, media companies, advertising firmsTech-driven creative firms, media companies, entertainment industry
Employer & Industry UsageCommonly employed for analyzing campaign data, audience insightsUsed for predictive modeling, advanced analytics, and developing AI solutions

While both roles analyze data within creative industries, Data Analysts focus on interpreting data to inform campaigns and strategies, whereas Data Scientists develop complex models and algorithms to extract deeper insights and predictive analytics.

What are popular job titles related to Data Analyst In Creative Industries jobs in Indiana? For Data Analyst In Creative Industries jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Analyst In Creative Industries jobs in Indiana look for? The top searched job categories for Data Analyst In Creative Industries jobs in Indiana are:
What cities in Indiana are hiring for Data Analyst In Creative Industries jobs? Cities in Indiana with the most Data Analyst In Creative Industries job openings:
Data Analyst, Sr

Data Analyst, Sr

Old National Bank

Evansville, IN • On-site

$60K - $121K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 7 days ago


Old National Bank rating

8.0

Company rating: 8.0 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

55th of 142 rated banks


Job description

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. 

We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance.  401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization.  We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values.


Old National is currently seeking to fill the position of  Data Analyst. We’re building a class-leading data team that works to solve complex business challenges and provide insights to improve our business and customer experience. We are looking for an innovative senior data analytics developer who has a knack for seeing solutions in sprawling data sets across a variety of retail bank systems and products.  The incumbent should have a flair for building highly usable and consistent business user experiences, and the business mindset to perform detailed analysis to produce genuine business insights that will find and fuel strategic opportunities.

You will work directly with line of business leaders – including Line of Business Chief Product, Information and Financial Officers – to assess and interpret their reporting needs. You will identify and design reporting solutions based on their requirements. You will use various data query and visualization tools (SQL, Python, Power BI, SAS, etc.) to access multiple data sources and design insightful products for our business partners. You will work with various teams, each with unique backgrounds and perspectives, to develop solutions that will have a real impact for the bank and for our customers.

Salary Range

The annual salary range for this position is $60,000 - $121,300. The base salary indicated for this position reflects the compensation range applicable to all levels of the role across the United States. Actual salary offers within this range may vary based on a number of factors, including the specific responsibilities of the position, the candidate’s relevant skills and professional experience, educational qualifications, and geographic location.

Key Accountabilities

Fulfill core senior data analytics developer accountabilities:

  • Deliver on large data projects by leading planning, execution and completion of projects through peer leadership, cross-functional team collaboration and consensus building with functional and senior stakeholders and implementing logical solutions.
  • Build, develop and maintain data models, dashboards, reports, data automation systems, and performance metrics support that support key business decisions
  • Proactively evaluate data & data technology trends to guide business partners on emerging opportunities.
  • Ensure data accuracy, quality and consistent reporting by designing and creating optimal analytics code with data controls defined as defined within the policy, procedure, and standards
  • Tasks and deliverables are often time-sensitive and require a proactive approach to ensure deadlines are consistently met

Develop and implement Power BI Reports:

  • Create consistent dashboards, reporting, and analytics experiences for business users
  • Elicit and understand business requirements from stakeholders; transform into the BI context and design a data model to transform raw data into meaningful insights
  • Convert business requirements into technical specifications and implement them through reports that support decision-making
  • Perform DAX queries and functions in Power BI

ETL, data extracts & ad-hoc reporting:

  • Partner with business users to derive requirements, identify data sources, wrangle data and/or transform data via SQL and/or SAS to produce file extracts for use within PowerBI Dashboards or distribution to other systems
  • Partner closely with data engineering and data movement teams on ETL processes and to develop and enhance databases/schemas/tables and implement data solutions to move data from and to other internal and external systems and vendors
  • Drive efforts on ad hoc, time-sensitive exploratory data analysis and/or qualitative analysis to provide insights on trends, client behaviors, system troubleshooting or non-recurring reporting needs.
  • Creating customized diagrams and user-defined calculations as needed
  • Design, develop and deploy business intelligence solutions with SQL queries for best results, filters, and graphs to better understand your data at all levels for performance improvements and suggestions

Qualifications and Education Requirements

  • Bachelor’s degree in related field; advanced coursework/training related to computer science, management information systems, and mathematics/statistics, Master’s degree preferred
  • Exceptional analytic ability and problem-solving skills
  • 6-10 years’ experience in banking and finance with a thorough knowledge of the retail bank business line
  • Demonstrated ability in data retrieval from multiple databases and systems
  • 5+ years’ experience in developing analytics reports and dashboards, preferably PowerBI
  • 5+ years’ experience working with and creating data extracts
  • 5+ years’ experience programming skills with querying languages: SQL, SAS, R, Python, etc.
  • 5+ years’ experience in Data Visualization
  • Experience integrating multiple components of the Microsoft Fabric / BI Stack, with specific emphasis on Power BI, Power Apps, Power Automate and Azure services
  • Experience with both on-prem SQL server and Azure Databricks cloud data environments
  • Experience using analytics techniques to contribute to company growth efforts, increasing revenue and other key business outcomes
  • Exceptional written, verbal, and interpersonal communication skills
  • Strong project management skills and experience with agile methodologies preferred
  • Demonstrated ability to communicate and support data culture change initiatives
  • Client-centered approach to working with line of business stakeholders
  • Demonstrated ability to engage directly with C-level executives when sharing data, reports and presentations
  • Working knowledge of common banking core systems and tools (Fiserv Signature, MeridianLink/LoansPQ, Encompass, Velocify, Marquis Executrax MCIF, Salesforce) preferred

Old National is proud to be an equal opportunity employer focused on fostering an inclusive workplace and committed to hiring a workforce comprised of diverse backgrounds, cultures and thinking styles. 

As such, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, protected veteran status, status as a qualified individual with disability, sexual orientation, gender identity or any other characteristic protected by law. 

We do not accept resumes from external staffing agencies or independent recruiters for any of our openings unless we have an agreement signed by the Director of Talent Acquisition, SVP, to fill a specific position.

Our culture is firmly rooted in our core values.

We are optimistic. We are collaborative. We are inclusive. We are agile. We are ethical.

We are Old National Bank.  Join our team!



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