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Functional Data Analyst Jobs in Fishers, IN (NOW HIRING)

STI

Data Analyst

Indianapolis, IN · On-site

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven ... Collaborate with cross-functional teams to support business objectives. Interpret data to provide ...

STI

Data Analyst

Indianapolis, IN · On-site

Data Analyst is responsible for collecting, processing, and analyzing data to help make data-driven ... Collaborate with cross-functional teams to support business objectives. Interpret data to provide ...

Echo IT Solutions

Data Analyst

Indianapolis, IN · On-site

Data Analyst The Data Analyst is responsible for collecting, processing, and analyzing data to help ... Collaborate with cross-functional teams to support business objectives. Interpret data to provide ...

MetaPhase Consulting

Data Analyst

Indianapolis, IN

Collaborate with cross-functional teams to improve reporting processes, workflows, and data governance practices * Develop SOPs, templates, and documentation to standardize reporting and analytical ...

MetaPhase Consulting

Data Analyst

Indianapolis, IN · On-site

Collaborate with cross-functional teams to improve reporting processes, workflows, and data governance practices * Develop SOPs, templates, and documentation to standardize reporting and analytical ...

WPS Health Solutions

Data Analyst

Indianapolis, IN · On-site +1

Are energized by working with cross-functional teams to understand data needs and recommend analytical approaches. * Like to analyze data trends to identify patterns, outliers, and opportunities for ...

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

DWD - Data Analyst Location: Indianapolis, IN Job Type: Full-Time * Gather, clean, and organise ... Collaborate with cross-functional teams to support business objectives. * Interpret data to provide ...

Cardinal Health

Senior Data Analyst

Indianapolis, IN · On-site

$82.20K - $103.70K/yr

What Data Analytics contributes to Cardinal Health: The Data & Analytics Function oversees the ... cross-functional projects. * Independently defines methodologies, frameworks, and analytical ...

Beacon Hill

Data Analyst - Onsite

Indianapolis, IN

You'll work with modern tools, collaborate with cross-functional partners, and play a key role in ... Apply data cleaning, statistical analysis, and problem-solving techniques to improve data accuracy ...

Netpace

IN DWD - Data Analyst

Indianapolis, IN · On-site

The Data Analyst is responsible for collecting, processing, and analyzing data to help ... Collaborate with cross-functional teams to support business objectives. Interpret data to provide ...

Vir Healthway

IN - DCS Data Analyst

Indianapolis, IN · Hybrid

Experience in working with Cross Technical, Functional and Business Teams. Capable to understand ... Data analysis Functions, scripts, reports, and charts Required5YearsExperience with Data ...

HHC

DATA ANALYST TIER 2 (50080402)

Indianapolis, IN · Hybrid

In this dynamic role, you will collaborate with cross-functional teams to perform data analysis, create visualizations, and facilitate the development of key performance indicators (KPIs). Your day ...

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$77.4K

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How much do functional data analyst jobs pay per year?

As of May 28, 2026, the average yearly pay for functional data analyst in Fishers, IN is $77,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,500.00 and $90,800.00 per year, depending on experience, location, and employer.

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

To thrive as a Functional Data Analyst, you need strong analytical abilities, a solid understanding of data modeling, and a background in statistics or a related field, often supported by a relevant degree. Familiarity with data analytics tools (such as SQL, Excel, Tableau, or Python) and experience with business intelligence systems are typically required. Effective communication, problem-solving, and the ability to translate technical findings into actionable business insights are standout soft skills. These competencies enable analysts to extract meaningful information from data, support decision-making, and drive organizational success.

How does a Functional Data Analyst typically collaborate with business stakeholders to ensure data-driven decision making?

A Functional Data Analyst often works closely with business stakeholders to understand their objectives, translate requirements into analytical tasks, and present actionable insights. This involves frequent meetings to clarify goals, iterative feedback on reports or dashboards, and explaining complex data findings in accessible terms. Effective analysts build strong relationships with stakeholders, ensuring that the analyses they deliver are both relevant and impactful for strategic decision making. This collaborative approach not only enhances the value of data-driven insights but also helps align analytics initiatives with organizational priorities.

What is a Functional Data Analyst?

A Functional Data Analyst is a professional who specializes in analyzing and interpreting data related to the functionality and performance of business processes or systems. They use statistical methods and data modeling to identify trends, patterns, and insights that help organizations improve efficiency and decision-making. Unlike traditional data analysts, functional data analysts focus specifically on data that reflects the operational aspects of a business, often working closely with stakeholders to translate business needs into actionable data solutions.
What job categories do people searching Functional Data Analyst jobs in Fishers, IN look for? The top searched job categories for Functional Data Analyst jobs in Fishers, IN are:
What cities near Fishers, IN are hiring for Functional Data Analyst jobs? Cities near Fishers, IN with the most Functional Data Analyst job openings:
Functional Data Analyst jobs near you

Data Analyst

STI

Indianapolis, IN • On-site

Other

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

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.

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