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Data Analytics Jobs in Avon, IN (NOW HIRING)

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports ...

Data Analyst Job Location: Indianapolis IN, 46204 Job Location: Hybrid Contract Duration: 11 Months Note: W2 and C2C candidates can apply Note: Candidate must be local to Indiana location or they ...

You will be using business intelligence tools and your data analytic skillset to provide meaningful insights to our clients that are crucial to their deal investment hypothesis. You will leverage ...

... Analytics team, you will turn data into clear, reliable insights that support decision-making across the organization. Working with business-line stakeholders and leadership, you will build and ...

Analytics team, you will turn data into clear, reliable insights that support decision-making across the organization. Working with business-line stakeholders and leadership, you will build and ...

... data analytics, or equivalent combination. Advanced degree preferred. * Minimum of two years of experience in a senior analytical role * Ability to travel 10% * Quality Management System process ...

DWD - Data Analyst Location: Indianapolis, IN Job Type: Full-Time * Gather, clean, and organise large datasets from various sources. * Validate and verify data accuracy, consistency, and completeness ...

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 insights from large datasets and drive data-driven decision-making. You will leverage skills in data ...

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Data Analytics information

See Avon, IN salary details

$23

$52

$90

How much do data analytics jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for data analytics in Avon, IN is $52.50, according to ZipRecruiter salary data. Most workers in this role earn between $42.21 and $59.47 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

What are the key skills and qualifications needed to thrive as a data analytics professional, and why are they important?

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What are the most commonly searched types of Data Analytics jobs in Avon, IN?

The most popular types of Data Analytics jobs in Avon, IN are:

What are popular job titles related to Data Analytics jobs in Avon, IN?

For Data Analytics jobs in Avon, IN, the most frequently searched job titles are:

What job categories do people searching Data Analytics jobs in Avon, IN look for?

The top searched job categories for Data Analytics jobs in Avon, IN are:

What cities near Avon, IN are hiring for Data Analytics jobs?

Cities near Avon, IN with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Avon, IN as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, 3% Contract, and 1% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $109,209 per year, or $52.5 per hour.

Data Analyst

STI

Indianapolis, IN • On-site

Full-time

Re-posted 11 days ago


Job description

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Job Summary:
The Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make data-driven decisions. This role involves working with large datasets, identifying trends, creating reports, and providing actionable insights to stakeholders.
Key Responsibilities:
Gather, clean, and organize large datasets from various sources.
Validate and verify data accuracy, consistency, and completeness across various data sources.
Identify and resolve data discrepancies, inconsistencies and errors.
Performa routine and ad hoc data quality checks using automated and manual validation techniques.
Work closely with data entry teams and other analysts and stakeholders to ensure data integrity.
Perform data analysis to identify trends, patterns, and correlations.
Develop reports, dashboards, and visualizations using tools like Excel, SQL, Tableau, or Power BI.
Collaborate with cross-functional teams to support business objectives.
Interpret data to provide strategic recommendations and business insights.
Ensure data accuracy and integrity.
Use statistical techniques and predictive modeling to improve decision-making.
Document processes and methodologies for data collection and analysis.
Required Skills & Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field.
Proficiency in data analysis tools such as SQL, Python, R, or Excel.
Experience with data visualization tools like Tableau, Power BI, or Google Data Studio.
Strong analytical and problem-solving skills.
Excellent communication and presentation abilities.
Ability to work independently and in a team-oriented environment.
Attention to detail and a strong understanding of data governance principles.
Preferred Qualifications:
Experience in machine learning, predictive modeling, or statistical analysis.
Knowledge of database management and ETL (Extract, Transform, Load) processes.
Familiarity with cloud platforms such as AWS, Google Cloud, or Azure.