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Data Analysis Data Analyst Jobs in Three Rivers, MI

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk ... You will help define data strategy, elevate governance practices, and mentor decentralized data ...

Senior Data Analyst

Goshen, IN · On-site

$76K - $96K/yr

You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk ... You will help define data strategy, elevate governance practices, and mentor decentralized data ...

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for online Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ...

Work closely with engineers, data scientists and analysts within the BI team, and collaborate cross-functionally with other colleagues and stakeholders throughout the organization. * Maintain ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

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Data Analysis Data Analyst information

See Three Rivers, MI salary details

$31.4K

$76.2K

$125.4K

How much do data analysis data analyst jobs pay per year?

As of Jun 10, 2026, the average yearly pay for data analysis data analyst in Three Rivers, MI is $76,217.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,600.00 and $89,500.00 per year, depending on experience, location, and employer.

What is the difference between Data Analysis Data Analyst vs Data Scientist?

AspectData Analysis Data AnalystData Scientist
Required CredentialsBachelor's degree in related field, certifications like Microsoft Excel, SQLBachelor's or Master's in Data Science, Statistics, or related fields, certifications in Python, R
Work EnvironmentBusiness settings, offices, data teamsResearch labs, tech companies, analytics teams
Employer & Industry UsageCorporate, finance, healthcare, retailTech, finance, research, startups
Common Search & ComparisonYesYes

Data Analysis Data Analysts focus on interpreting data, creating reports, and supporting decision-making using tools like Excel and SQL. Data Scientists have a broader scope, including building predictive models and advanced analytics with programming languages like Python or R. While both roles analyze data, Data Scientists typically require more advanced technical skills and education. Understanding these differences helps employers and job seekers find the right fit for their skills and needs.

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 solid background in mathematics or a related field, often supported by a relevant degree. Familiarity with data analysis tools such as SQL, Excel, Python, R, and data visualization platforms like Tableau or Power BI, as well as certifications in analytics, are commonly expected. Attention to detail, effective communication, and problem-solving abilities set standout analysts apart. These skills enable Data Analysts to extract actionable insights from complex datasets, driving informed business decisions and organizational success.

What are data analysts?

Data analysts are professionals who collect, process, and analyze data to help organizations make informed decisions. They use statistical techniques and software tools to interpret data, identify trends, and present actionable insights. Data analysts often work with large datasets, create reports, and visualize findings to support business strategies. Their work is crucial in industries ranging from finance and healthcare to marketing and technology.

What are some typical challenges data analysts face when working with large datasets, and how can they overcome them?

Data analysts often encounter challenges such as data quality issues, inconsistent formats, and missing values when working with large datasets. To overcome these, analysts use tools and techniques like data cleaning, validation checks, and scripting in languages such as Python or R. Collaborating closely with data engineers and subject matter experts can help ensure data accuracy and relevance. Staying organized and documenting processes is also essential for managing complex projects and facilitating teamwork.
What cities near Three Rivers, MI are hiring for Data Analysis Data Analyst jobs? Cities near Three Rivers, MI with the most Data Analysis Data Analyst job openings:
Senior Data Analyst

Senior Data Analyst

Interra Credit Union

Goshen, IN • On-site

$76K - $96K/yr

Full-time

Posted 7 days ago


Interra Credit Union rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz


Job description

WHAT YOU WILL DO EVERYDAY

As a Senior Data Analyst, you will serve as a strategic analytics partner and an advanced technical contributor, building upon the foundational responsibilities of the Analyst role. You will lead sophisticated analysis across Lending, Marketing, Finance, Operations, and Risk, transforming large and complex datasets into actionable insights that drive enterprise decision-making. You will help define data strategy, elevate governance practices, and mentor decentralized data users to strengthen Interra’s datadriven culture.

You will also take a hands-on role in advancing data ingestion, reporting environments, and analytic models—owning highercomplexity initiatives and serving as an escalation point for technical issues.

Direct Reports: None

HOW YOU WILL MAKE AN IMPACT

40%            Lead complex analytical assessments across business lines to identify trends, risks, member behavior patterns, and optimization opportunities.

Apply advanced statistical analysis, forecasting techniques, and modeling to support strategic planning and performance management. Translate complex analysis into concise, actionable recommendations for senior leaders.

 

20%            Create, enhance, and own enterprise dashboards, KPI scorecards, and decision-support tools using Tableau/Power BI. Ensure reporting environments are accurate, scalable, and aligned with governance standards. Serve as the technical lead for defining reporting requirements and business logic.

 

15%            Oversee and elevate organizational data governance practices including dictionaries, catalogues, metadata, standards, and definitions. Identify data quality issues, troubleshoot discrepancies, and drive crossfunctional resolution. Serve as steward of “single source of truth” practices across the enterprise.

 

15%         Partner with IT and data engineering teams to enhance data ingestion pipelines, ETL processes, and data lake usage. Prioritize data needs, support ingestion of new data sources, and validate data flowing through the architecture. Support advanced use cases for decentralized data users and crossdepartment teams.

 

10%            Guide and mentor data analysts and datacurious staff, helping elevate analytical literacy and best practices. Lead complex projects requiring collaboration across multiple departments. Continuously improve tools, processes, automation, and analytic methodologies.

— Must comply with all company policies and procedures, applicable laws, and regulations, including but not limited to, the Bank Secrecy Act, the USA PATRIOT Act, and the Office of Foreign Assets Control.

WHAT YOU WILL NEED TO SUCCEED

Experience

5+ years of progressive experience in data analysis, business intelligence, or analytics within a financial institution or related industry. Demonstrated experience delivering actionable insights that influence business decisions. Experience working with large datasets and cross-functional stakeholders required.

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, Finance, Business, or related field. (Will consider additional years of relevant experience in lieu of education requirement.) Must have and maintain a valid driver’s license.

 

PREFERRED SKILLS

-  Proven expertise in transforming large, complex datasets into meaningful business intelligence to support marketing, product, and growth strategies.

-  Strong proficiency in statistical modeling, data mining, and interpreting behavioral data to identify member trends and campaign performance drivers.

-  Advanced experience with data visualization platforms (e.g., Tableau, Power BI) to deliver compelling, executive-ready dashboards that guide strategic decisions.

-  Proficient in SQL and comfortable querying data across structured and unstructured data sources; experience with cloud data platforms (e.g., Snowflake, BigQuery) preferred.

-  Demonstrated ability to translate data into marketing and business insights that drive measurable outcomes in acquisition, engagement, and retention.

-  Hands-on experience with data tools such as Python or R to support data preparation, automation, and predictive modeling.

-  Strong understanding of data warehouse architecture, dimensional modeling, and ETL processes to ensure scalable, accurate data pipelines.

-  Ability to assist in the execution of a BI roadmap aligned to enterprise and marketing goals, including the creation of KPIs and performance scorecards.

-  Knowledge of data governance, data quality practices, and compliance standards relevant to member privacy and financial regulations.

-  Strong communication skills with a track record of influencing cross-functional stakeholders through data storytelling and actionable recommendations.

-  Demonstrated experience working in a financial services or highly regulated environment, with familiarity in interpreting member behavior and credit union KPIs.

-  Effective project management skills with a focus on delivering high-impact analytics projects on time and with stakeholder buy-in.

-  Ability to mentor analysts and foster a culture of data curiosity and continuous learning.

-  Strong business acumen and the ability to connect analytics work directly to organizational growth, revenue, and member satisfaction.

-  Commitment to Interra’s mission and member experience, with a passion for leveraging data to deliver meaningful impact.

INTERPERSONAL SKILLS

·        Strong interpersonal skills—willingness to engage with team members across the organization.

·        Interest in making a tangible impact at a mission-driven, community-focused financial institution.

·        Ability to communicate complex analytical concepts to non-technical stakeholders in a clear and understandable manner.

·        Ability to influence decision-making through data-driven insights and thoughtful recommendations.

·        Represent the credit union in a professional and positive way, both internally and externally at all times.

COMPETENCIES

Decision Making - Makes sound decisions in a timely manner using critical thinking, problem solving, insights, and experience. Demonstrates sound judgment that proves to be accurate and correct over time.

Drive Engagement - Demonstrates drive and fosters an inclusive environment that motivates others. Alters approach to each person to promote optimal performance and commitment to the Interra mission, vision, and objectives.

Effective Communication - Utilizes a variety of communication modalities effectively and appropriately across multiple channels. Is effective in a variety of communication settings: one-on-one, small, and large groups, or among diverse styles and position levels. Adjusts to fit the message to the audience. Provides timely and helpful information to others across the organization.

Functional Expertise - Maintains strong technical knowledge in data analytics and stays current on industry trends, tools, and best practices.

Maintain Accountability - Takes ownership of work, ensures accuracy, and meets deadlines with high standards of quality.

ADA REQUIREMENTS

Physical Requirements

-  Able to bend, sit, and stand in order to perform primarily sedentary work with limited physical exertion and occasional lifting of up to 10 lbs.

-  Must be capable of climbing / descending stairs in an emergency situation.

-  Must be able to operate routine office equipment including computer terminals and keyboards, telephones, copiers, facsimiles, and calculators.

-  Must be able to routinely perform work on computer for an average of 6-8 hours per day, when necessary.

-  Must be able to work extended hours or travel off site whenever required or requested by management.

-  Must be capable of regular, reliable, and timely attendance.

 

Working Conditions

-  Must be able to routinely perform work indoors in climate-controlled shared work area with minimal noise.

Mental and/or Emotional Requirements

·        Must be able to perform job functions independently and work effectively either on own or as part of a team.

·        Must be able to plan and direct the work activities of self and others.

·        Must be able to read and carry out various written instructions and follow oral instructions.

·        Must be able to speak clearly and deliver information in a logical and understandable sequence.

·        Must be capable of dealing calmly and professionally with numerous different personalities from diverse cultures at various levels within and outside of the organization and demonstrate highest levels of member service and discretion when dealing with the public.

·        Must be able to perform responsibilities with composure under the stress of deadlines / requirements for extreme accuracy and quality and/or fast pace.

·        Must be able to effectively handle multiple, simultaneous, and changing priorities.

·        Must be capable of exercising highest level of discretion on both internal and external confidential matters.