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Data Analyst Jobs in Huntington, IN (NOW HIRING)

Tickmill

Data Analyst - Poland

Warsaw, IN · On-site

$70 - $90/hr

Tickmill is looking to hire a Data Analyst to mainly collaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.

Dmainc

Data Engineer

Fort Wayne, IN · Hybrid

$113K - $135K/yr

Position Summary The Data Analyst will be primarily responsible for creating and maintaining DMA's infrastructure and systems that enable the collection, storage, and processing of data. This role is ...

Vera Bradley

Sr. Manager, Customer Insights

Roanoke, IN · On-site

Leverages Data Analyst Team's Power BI models to build and refresh executive-ready Power BI dashboards. * Creates standardized, reusable views designed for ongoing use by Marketing Team for executive ...

All JobsData Analyst JobsData Analyst Jobs in Huntington, IN

Data Analyst information

See Huntington, IN salary details

$32.4K

$78.6K

$129.4K

How much do data analyst jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data analyst in Huntington, IN is $78,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,500.00 and $92,300.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
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Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Huntington, IN as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $78,646 per year, or $37.8 per hour.

Data Analyst - Poland

Tickmill

Warsaw, IN • On-site

$70 - $90/hr

Other

Re-posted 4 days ago

Job description

Are you looking for the next professional opportunity, that will challenge you and advance your career?

Tickmill is looking to hire a Data Analyst to mainly collaborate with stakeholders and Product Owners/Analysts to understand their data needs and provide actionable insights based on data analysis.

About Tickmill.

Tickmill is an award-winning, multi-regulated broker offering access to a broad range of asset classes, including CFDs on Forex, Stocks, Indices, Commodities, Cryptocurrencies, andBonds, as well as Exchange Traded DerivativeslikeFutures & Options).

Founded in 2014, theTickmillGroup employs over330 professionals across offices in London, Cyprus,Poland,Estonia,Seychellesand several other locations worldwide.

Our culture is built on trust, transparency, andhigh standards.Webring togetherambitiousprofessionals whoare looking for an environment that supports them todominate in their fields.

Ourdiverse, multilingual teams are focused on innovation, delivering bold excellence, and raising the bar wherever we can.

We offer competitive benefits packages, frequentteam initiatives, and opportunities for professional growth.

What does the role look like?

The Data Analyst will have the chance to:

  • Collaborate with stakeholders and Product Owners/Analysts to understand business requirements and support data-driven decision-making.
  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Develop and maintain dashboards, reports, and visualizations to effectively communicate findings to stakeholders.
  • Support the implementation of data-driven solutions that improve business performance and operational efficiency.
  • Contribute to analytics projects related to product performance, client behavior, acquisition funnels, and client lifecycle analysis.
  • Ensure data accuracy and consistency through validation and quality checks.
  • Work closely with BI team members to improve reporting processes and analytical capabilities.
  • Stay up to date with industry trends, analytical techniques, and data visualization best practices.
What do you need to succeed in this role?
  • Bachelor's degree in a quantitative field such as Mathematics, Statistics, Computer Science, Information Systems, or a related discipline.
  • Minimum 2–4 years of experience as a Data Analyst or in a similar analytical role, preferably within the Finance/FX industry.
  • Strong analytical and problem-solving skills with the ability to collect, organize, analyze, and interpret data accurately.
  • Excellent communication skills with the ability to present analytical findings to both technical and non-technical stakeholders.
  • Experience gathering business requirements and translating them into reporting and analytical solutions.
  • Experience performing cohort analysis, funnel analysis, segmentation, retention analysis, and KPI performance monitoring.
  • Hands-on experience with data visualization tools (Power BI preferred).
  • Strong SQL skills and understanding of dimensional modeling concepts, semantic models, and how to consume data from existing star schemas.
  • Working knowledge of DAX and Power BI data modelling principles.
  • Demonstrated ability to independently translate ambiguous business questions into structured analytical approaches and actionable recommendations.
  • Attention to detail, curiosity, and a proactive approach to solving business problems.
  • Excellent command of English, both written and spoken.
  • Strong teamwork and collaboration skills.
Will be considered as a plus:
  • Experience with statistical analysis and A/B testing concepts.
  • Basic knowledge of machine learning concepts and their business applications.
  • Proficiency in Python or R for data analysis and automation.
  • Experience working with financial services, trading, or FX data.
  • Familiarity with data governance and data quality best practices.
  • Knowledge of Agile methodologies and DataOps principles.
  • Familiarity with Databricks or similar cloud platforms.
  • Experience conducting market, competitor, or benchmarking analysis.
By joining us, you can expect:
  • AUnique Opportunityfor a career in a global, fast-growing company.
  • Attractive remunerationpackage based on qualifications and experience.
  • Opportunities tolearn and grow through our “Employee Training & Development program”.
  • Hybrid Work Flexibility.
  • Multiple events tobond with the team and the group.
  • Birthdayand Loyalty benefits.
What to expect from our recruitment process:
  1. First interview with hiring managers or an HR call
  2. Psychometric test
  3. Final interview with top management

*Due to the great number of applications, we receive for each of our open vacancies, we are unable to respond on an individual basis.

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