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Data Analyst Data Science Jobs in Indiana (NOW HIRING)

BC Forward

Data Analyst V - CX or VoC

Indianapolis, IN · Remote

$68 - $71/hr

Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related field. 6+ years of experience in data analytics, data science, or related fields. 3+ years in customer ...

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

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 ...

campus4tech

Data Analyst

Indianapolis, IN · On-site

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 ...

EHOB INC

Operations Data Analyst

Indianapolis, IN · On-site +1

Bachelor's degree with a concentration in Business, Mathematics, Statistics, Data Science, or a related field * 2-5 years of experience in data analysis, preferably in operations or business ...

Interra Credit Union

Senior Data Analyst

Goshen, IN

$76K - $96K/yr

Education / Certifications / Licenses This level of knowledge is normally acquired through completion of a Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems ...

Diverse Lynx

Databricks Data Scientist

Indianapolis, IN · On-site

... analytics to design, build, and deploy scalable data science and AI solutions. The role involves transforming enterprise data into actionable insights using machine learning and natural language ...

Beacon Hill

Data Analyst - Onsite

Indianapolis, IN

Apply data cleaning, statistical analysis, and problem-solving techniques to improve data accuracy ... Sciences and Beacon Hill Technologies by visiting . Benefits Information: Beacon Hill offers a ...

Interra Credit Union

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

Education / Certifications / Licenses This level of knowledge is normally acquired through completion of a Bachelor's degree in Data Analytics, Statistics, Computer Science, Information Systems ...

BCforward

Data Acquisition Analyst

Warsaw, IN · On-site

The role will be responsible for capture, analysis, data dissemination, and follow-up of findings ... Qualifications Education/Experience Requirements Bachelor of Science degree in a statistics ...

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All JobsData Analyst Data Science JobsData Analyst Data Science Jobs in Indiana

Data Analyst Data Science information

See Indiana salary details

$13

$37

$63

How much do data analyst data science jobs pay per hour?

As of Jun 18, 2026, the average hourly pay for data analyst data science in Indiana is $37.19, according to ZipRecruiter salary data. Most workers in this role earn between $26.83 and $45.10 per hour, depending on experience, location, and employer.

Is 40 too late for data science?

Data analysts and data scientists can start their careers at any age, including 40 or older. Success in data science depends on acquiring relevant skills such as programming, statistics, and tools like Python or R, which can be learned at any stage of life. Many professionals transition into data roles later in their careers with dedication and continuous learning.

How do Data Analysts in Data Science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of the results come from 20% of the efforts or data. Data analysts often use this concept to focus on the most impactful variables or features during analysis and modeling to improve efficiency and accuracy.

What does a Data Analyst in Data Science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

Can data science work as a data analyst?

Data science and data analysis are related fields, but they have different focuses. Data scientists often develop models and algorithms using programming languages like Python or R, while data analysts primarily interpret data, generate reports, and use tools like Excel or SQL. Skills in statistical analysis, data visualization, and understanding business needs are essential for both roles, and some professionals transition between them based on experience and training.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

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

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

Is AI replacing data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, allowing analysts to focus on more complex insights and strategic decision-making. While AI tools can augment their work, human expertise remains essential for interpreting results, understanding context, and communicating findings effectively. Data analysts who develop skills in machine learning, programming, and data visualization will continue to be valuable in the evolving data science environment.
What are popular job titles related to Data Analyst Data Science jobs in Indiana? For Data Analyst Data Science jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Indiana look for? The top searched job categories for Data Analyst Data Science jobs in Indiana are:
What cities in Indiana are hiring for Data Analyst Data Science jobs? Cities in Indiana with the most Data Analyst Data Science job openings:
Data Analyst Data Science jobs near you

Data Analyst V - CX or VoC

BC Forward

Indianapolis, IN • Remote

$68 - $71/hr

Other

Posted 6 days ago

Job description

Job Title: Data Analyst V - CX or VoC Location: Remote Duration: Contract - 12 months Pay Range: $68 - $71/hr W2 all inclusive Job ID: 373498 About BCforward BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

Job Description We are seeking a Customer Experience Analyst to join our dynamic team within Customer Experience. The ideal candidate will have strong experience in customer experience and voice of customer analytics, statistical modeling, data engineering, and data visualization and a proven ability to translate insights from large-scale customer feedback into actions that improve customer satisfaction, loyalty, and operational effectiveness. Responsibilities: Work with large, complex datasets and apply analytical and statistical approaches to solve business problems.

Synthesize and analyze customer feedback from surveys, digital analytics, behavioral, and operational data across end-to-end journeys to identify trends and pain points. Apply advanced statistical modeling, machine learning, and NLP to customer support interactions to extract actionable insights. Use clustering and segmentation to identify common customer issues and recommend targeted solutions or self-service resources.

Develop and maintain reporting and dashboards to track CX metrics and KPIs. Integrate feedback with transactional, operational, and behavioral data to reveal experience drivers. Advocate for customers through periodic and ad-hoc reporting and evangelize insights with stakeholders to influence corrective actions.

Collaborate with cross-functional partners to identify root causes, implement remediation plans, and measure effectiveness. Communicate technical concepts and findings to non-technical audiences. Required Skills & Qualifications: Degree in Analytics, Statistics, Mathematics, Computer/Data Science, Engineering, or a related field.

6+ years of experience in data analytics, data science, or related fields. 3+ years in customer experience, customer support, or customer insights analytics. Proficiency in storytelling with complex data to deliver actionable insights for stakeholders.

Experience building reports, visualizations, and dashboards and presenting to technical and non-technical audiences. Hands-on experience with CX or VoC metrics such as NPS and CSAT, surveys, and customer feedback programs. Strong programming skills in Python, R, and SQL.

Proficiency with data visualization tools such as Tableau or Power BI. Applied knowledge of statistical analytics techniques. Demonstrated collaboration with cross-functional teams.

Preferred Skills: Master's or Ph.D. in a quantitative field. Familiarity with consumer electronics or retail business.

Experience with predictive analytics and ML/AI techniques. Hands-on experience with libraries such as Pandas, scikit-learn, TensorFlow, or PyTorch. Why BCforward?

At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to: Competitive compensation and benefits. Opportunities for growth with global clients.

A supportive, inclusive culture that values innovation and people. Exposure to cutting-edge technologies and projects. Additional Information Pursuant to the California Fair Chance Act, Los Angeles County Fair Chance Ordinance for Employers, Los Angeles Fair Chance Initiative for Hiring Ordinance, and San Francisco Fair Chance Ordinance, qualified applicants will be considered for assignment with arrest and conviction records.

Criminal history may have a direct, adverse, and negative relationship with some material job duties of this position, including adherence to policies, sound judgment, effective stress management, safe and respectful work with others, trustworthiness, meeting client expectations and standards, and safeguarding business operations and company reputation. About Our Commitment BCforward is an equal opportunity employer. We value diversity and are committed to creating an inclusive environment for all employees.

All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, or veteran status. Interested? Apply Now!

If this sounds like the right opportunity for you, please apply with your most recent resume. Email: Phone: 317-210-8718

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