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Data Analytics Jobs in Anderson, IN (NOW HIRING)

Hylant

Lead Data & Analytics Architect

Indianapolis, IN · On-site

This role ensures that current data initiatives are intentionally designed to meet today's analytical needs while enabling future innovation through scalable, secure, and wellgoverned platforms. The ...

Roche

Senior Data Analyst

Indianapolis, IN

$82K - $103K/yr

In this role, you will act as a Data Product Owner for selected analytics solutions and data products. You will translate business and process needs into clear analytical requirements, guide end-to ...

New

STI

Data Analyst

Indianapolis, IN · On-site

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 ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · Remote

... in 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 ...

OrganOx

Senior Data Quality Analyst

Indianapolis, IN · On-site +1

... 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 ...

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

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 ...

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All JobsData Analytics JobsData Analytics Jobs in Anderson, IN

Data Analytics information

See Anderson, IN salary details

$21

$47

$81

How much do data analytics jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data analytics in Anderson, IN is $47.44, according to ZipRecruiter salary data. Most workers in this role earn between $38.12 and $53.75 per hour, depending on experience, location, and employer.

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 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.

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.

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 are the most commonly searched types of Data Analytics jobs in Anderson, IN? The most popular types of Data Analytics jobs in Anderson, IN are:
What job categories do people searching Data Analytics jobs in Anderson, IN look for? The top searched job categories for Data Analytics jobs in Anderson, IN are:
What cities near Anderson, IN are hiring for Data Analytics jobs? Cities near Anderson, IN with the most Data Analytics job openings:
Data Analytics jobs near you
Infographic showing various Data Analytics job openings in Anderson, IN as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $98,674 per year, or $47.4 per hour.
Senior Data Analytics Engineer

Senior Data Analytics Engineer

Core BTS, Inc.

Indianapolis, IN • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack.The Senior Data Analytics Engineer works directly with clients to ensure their expectations and business decision-making tool needs are met. The Engineer is an expert in using analytical and problem-solving skills and has experience creating scalable and reliable data solutions through data analytics solution development.
Responsibilities
  • Demonstrates passion, excellence, trust, transparency, and client focus.
  • Builds and maintains databases, data pipelines, and data lakes.
  • Transforms and models data, develops reporting and analytics, creates dashboards, and works with analytics tools.
  • Understands business problems and processes based on direct conversations with clients, can see the big picture, and translate that into specific solutions.
  • Works with other technical experts on the DADP team and is involved in all parts of the data analytics development process-from gathering requirements and solution delivery to documentation of lessons learned.
  • Approaches conflict directly, assumes positive intent, and seeks assistance from leaders if needed.
  • Adapts positively to change by embracing new practices, processes, or circumstances.
  • Presents a positive, professional, and self-confident image.
  • Responds to clients in a timely and professional manner.
  • Understands and strives to consistently meet or exceed client expectations.
  • Collaborates with clients to identify and address their business needs.
  • Communicates accurately, concisely, and effectively.
  • Respectfully listens to others' ideas and concerns with an open mind.
  • Develops and maintains effective working relationships with others.
  • Works collaboratively to solve problems and puts team success first.
  • Meets commitments to others and delivers on time.
  • Holds self and others accountable for responsibilities.
  • Accepts responsibility for own decisions and actions without excuses.
  • Works independently or as a member of a team of technical professionals.
  • Balances multiple projects while still focusing on the needs of end users, clients, and the project manager.
  • Provides top-notch service and suggestions to not only clients and the project team but also to the broader NRI team as a whole.
Required Skills
  • 3-5 years of work experience in data engineering
  • Your data engineering experience should include Azure technologies and be familiar with modern data platform technologies such as Azure Data Factory, Azure Databricks, Azure Synapse, Fabric.
  • Understanding of Agile engineering practices
  • Deep familiarity and experience in the following areas: Data warehouse and lakehouse methodologies, including medallion architecture; Data ETL/ELT processes; Data profiling and anomaly detection; Data modeling (Dimensional/Kimball); SQL; Strong background in relational database platforms; DevOps/Continuous integration & continuous delivery.
  • Growing familiarity and experience with Python
  • Excellent analytical and problem-solving skills
  • Effective oral and written communication and organizational skills
  • Desire for continued education and certification as it relates to the position
  • Bachelor's degree in data Analytics, Computer Science, Information Systems, or a related field.
  • Previous consulting experience is preferred but not required
Benefits - You'll love working at NRI not just for the usual benefits, but for our environment and culture!
  • You'll work with a great group of people in a highly collaborative team and results oriented atmosphere
  • You'll have the opportunity to work in a dynamic and extremely positive environment where there is always the opportunity to challenge your skills and really move the needle
  • You'll work with large, sophisticated, and progressive clients throughout North America
  • We provide a comprehensive benefits program including: Health, Vision, and Dental Insurance, Life Insurance, Health/Dependent Care Flexible Spending, 401(k) Plan, Short-Term and Long-Term Disability Coverage, Generous Vacation and Flex Time Off Programs, Company Paid Holidays, and Training and Development Opportunities.
In addition to base salary, this role is eligible for discretionary incentive plan based on company and individual performance. Compensation decisions are dependent on the facts and circumstances of each candidate, including experience and location.
Notices

The above description is intended to describe the general nature and level of work performed by individuals assigned to this position. This is not intended to be an exhaustive list of all responsibilities, duties, knowledge, skills, or experience required of individuals in this position. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential duties and responsibilities.

NRI North America is proud to be an Equal Opportunity/Affirmative Action employer.

NRI North America will accept applications on an ongoing basis.
NRI North America will consider qualified candidates with criminal histories in a manner consistent with The Los Angeles Fair Chance Initiative for Hiring Ordinance.
If you require reasonable accommodation in completing an application, interviewing, or otherwise participating in the hiring process, please direct your inquiries to CareersBegin@nri-na.com.

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