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Data Solutions Analyst Jobs (NOW HIRING)

$110 - $156/hr

Principal Data Solutions Analyst Salary: $110,300 - $155,800. Benefits * Annual FTO days (Flexible Time Off): 20 Key responsibilities * Under limited direction, prototype and develop data solutions ...

New

Principal Data Analyst

Boston, MA · On-site

$110 - $156/hr

Principal Data Solutions Analyst Salary: $110,300 - $155,800. Benefits * Annual FTO days (Flexible Time Off): 20 Key responsibilities * Under limited direction, prototype and develop data solutions ...

New

Act as the primary liaison between business stakeholders and R&D/data science teams, confirming delivered solutions meet business intent through UAT and structured feedback Process Analysis * Assess ...

Data/AI Solutions Analyst Kansas City, MO (On-site) 12-Month Contract-to-Hire Compensation: $50 - $55 per hour ABOUT THE ROLE We're seeking a hands-on Data/AI Solutions Analyst for a 12-month ...

Job Title: Analyst, Solutions Department: IT FLSA Status: Exempt Reports To: Senior Manager ... Supports departments through data requests and some employee process management as it relates to ...

Solutions Analyst Truveta is the world's first health provider led data platform with a vision of Saving Lives with Data. Our mission is to enable researchers to find cures faster, empower every ...

Senior Data Analyst

Austin, TX · Hybrid

$85K - $107K/yr

Senior Data Analyst Location: Deerfield Beach FL (Hybrid \- 3 Days a week onsite) Contract: 6+ ... Support the full data lifecycle by ensuring data solutions are properly tested, validated, and ...

Showing results 41-60

Data Solutions Analyst information

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$34K

$82.6K

$136K

How much do data solutions analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data solutions analyst in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What is a data solutions analyst?

Data Solutions Analysts are professionals who collect, analyze, and interpret data to help organizations make informed business decisions. They design and implement data-driven solutions tailored to specific business needs, often working with large datasets and various analytical tools. Their responsibilities may include data modeling, reporting, and collaborating with other teams to ensure data accuracy and relevance. Data Solutions Analysts bridge the gap between business objectives and data technology, helping organizations optimize processes and achieve strategic goals.

What are the key skills and qualifications needed to thrive as a data solutions analyst?

To thrive as a Data Solutions Analyst, you need strong analytical abilities, proficiency in data modeling, and a background in computer science, statistics, or a related field. Familiarity with SQL, data visualization tools (such as Tableau or Power BI), and experience with databases are typically required, and certifications like Microsoft Certified: Data Analyst Associate can be advantageous. Excellent problem-solving, communication, and collaboration skills set candidates apart by enabling them to translate complex data insights into actionable business strategies. These skills are crucial for effectively transforming raw data into meaningful solutions that drive organizational decision-making and efficiency.

How does a data solutions analyst typically collaborate with cross-functional teams on data-driven projects?

As a Data Solutions Analyst, you will regularly collaborate with teams such as IT, marketing, sales, and business operations to gather requirements, understand business goals, and translate them into actionable data solutions. This role often involves facilitating workshops, developing data models, and communicating findings to both technical and non-technical stakeholders. Effective collaboration ensures that data solutions are aligned with organizational needs and that insights are clearly understood and implemented. Building strong relationships and maintaining open communication with various departments is key to success in this position.

What is the difference between Data Solutions Analyst vs Data Analyst?

AspectData Solutions AnalystData Analyst
Required CredentialsBachelor's in IT, Data Science, or related field; certifications like Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related field; certifications like Microsoft Certified Data Analyst
Work EnvironmentCollaborates with IT teams, business units, and data engineers to develop data solutionsAnalyzes data sets, creates reports, and visualizations for business insights
Employer & Industry UsageUsed in tech, finance, and consulting firms focusing on data infrastructure and solutionsCommon across marketing, finance, healthcare, and retail sectors for data analysis

The Data Solutions Analyst focuses on designing and implementing data systems and solutions, working closely with technical teams. In contrast, the Data Analyst primarily interprets data, creates reports, and provides insights for decision-making. Both roles require strong analytical skills and familiarity with data tools, but their core responsibilities differ in scope and focus.

What does a data solutions analyst do?

A data solutions analyst evaluates and interprets data to help organizations make informed decisions. They design and implement data models, develop reports, and use tools like SQL and data visualization software to analyze large datasets and identify trends. Strong analytical skills and knowledge of data management are essential for this role.

What states have the most Data Solutions Analyst jobs?

States with the most job openings for Data Solutions Analyst jobs include:

Infographic showing various Data Solutions Analyst job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 8% Part Time, and 6% Contract. Highlights an 73% Physical, 3% Hybrid, and 24% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Solutions Analyst (Regional Reporting Team)

M&T Bank

Washington, DC • On-site

$85K - $143K/yr

Full-time

Posted 29 days ago


Key responsibilities

  • Compile, explore, transform, and validate data from multiple internal and external data sources for reporting and analytics purposes.

  • Develop, maintain, and document automated data workflows and reporting assets used across reporting and analytics solutions.

  • Build and maintain dashboards, scorecards, reports, and visualizations.


M&T Bank rating

7.8

Company rating: 7.8 out of 10

Based on 187 frontline employees who took The Breakroom Quiz

78th of 175 rated banks


Job description

OVERVIEW:

Supports the development and delivery of data, reporting, and business intelligence solutions that enable informed decision-making across regional reporting and enterprise initiatives. Partners with Data Engineering and Data Visualization leads to acquire, transform, validate, and present data through scalable reporting assets, automated processes, and interactive dashboards.

Contributes to the modernization of reporting capabilities by supporting ETL development, report automation, data governance, and business intelligence initiatives that improve access to trusted, actionable insights.

POSITION RESPONSIBILITIES:
  • Compile, explore, transform, and validate data from multiple internal and external data sources for reporting and analytics purposes.
  • Develop, maintain, and document automated data workflows and reporting assets used across reporting and analytics solutions.
  • Perform data profiling, reconciliation, and quality assurance activities to ensure accuracy and consistency of outputs.
  • Support data governance initiatives through documentation of data definitions, business rules, and transformation logic.
  • Build and maintain dashboards, scorecards, reports, and visualizations. Partner with Data Visualization leads to ensure adherence to reporting standards, visualization best practices, and user experience expectations.
  • Support dashboard testing, deployment, enhancement, and ongoing maintenance activities.
  • Collaborate with business partners to understand reporting needs and support data-driven decision making. Translate business requirements into reporting solutions that provide actionable insights to business partners and leadership.
  • Assist with recurring and ad hoc reporting requests while identifying opportunities to improve efficiency through automation.
  • Partner closely with Data Engineering lead and Data Visualization lead to deliver scalable and governed reporting solutions.
  • Share knowledge, document processes, and contribute to continuous improvement efforts across the team.
  • Provide support and training to stakeholders as needed.
  • Understand and adhere to the Company's risk and regulatory standards, policies and controls in accordance with the Company's Risk Appetite. Identify risk-related issues needing escalation to management.
  • Promote an environment that supports diversity and reflects the M&T Bank brand.
  • Maintain M&T internal control standards, including timely implementation of internal and external audit points together with any issues raised by external regulators as applicable.
  • Complete other related duties as assigned.
MANAGERIAL/SUPERVISORY RESPONSIBILITY:

No supervisory responsibility.

MINIMUM QUALIFICATIONS REQUIRED:
  • Bachelor's degree and a minimum of 3 years of related experience, or in lieu of a degree, a combined minimum of 7 years higher education and/ or work experience, including a minimum of 3 years related experience
  • Experience working with large datasets and relational databases.
  • Experience developing SQL queries and performing data analysis.
  • Familiarity with business intelligence, reporting, or data visualization tools.
  • Experience translating business requirements into reporting or analytical solutions.
IDEAL QUALIFICATIONS PREFERRED:
  • 4 or more years related work experience in data analysis
  • Intermediate skills in programming languages such as SQL, Python
  • Experience working with a statistical analysis software package
  • Experience with one or more cloud databases.
  • Experience working within an agile environment
M&T Bank is committed to fair, competitive, and market-informed pay for our employees. The pay range for this position is $85,800.00 - $143,000.00 Annual (USD). The successful candidate's particular combination of knowledge, skills, and experience will inform their specific compensation.LocationBuffalo, New York, United States of America

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