Data Specialist Jobs
Data Specialist jobs are open across healthcare, finance, retail, and technology, from entry-level to senior and lead roles, with specializations in data quality, business intelligence, and clinical or operational data management. Find a role that fits from the openings below and apply directly.
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Showing 5 of 848+ Data Specialist jobs
Company
Federal Reserve Bank of St. Louis
The Senior Data Specialist serves as the primary data analytics expert and strategic partner for the Internal Support, Payments and SASTeC (ISPS) Division at the Federal Reserve Bank of St. Louis. This role leads the development and execution of division-wide data strategies, and mentors junior analysts while consulting with senior leadership on complex analytics needs. Working independently with minimal supervision, you will define best practices for data integrity, architect comprehensive analytical solutions that influence strategic decision-making, and drive adoption of a data-driven culture across the division. This position delivers enterprise-level data solutions and translates complex analytical findings into actionable strategic recommendations that impact division-wide objectives and policy decisions.
Key Responsibilities
- System Administration & User Support: Serve as the district’s integrated workplace management system (IWMS) data analytics/administrator. An IWMS is an enterprise software platform designed to manage the entire lifecycle of an organization’s physical facilities and corporate real estate. It consolidates space management, maintenance, leases, capital projects, and sustainability into a single, centralized database to optimize business efficiency and reduce costs.
- Design and Implement Enterprise Data Solutions: Design and configure enterprise-level data integration frameworks across multiple data sources and platforms and establish division-wide standards. Lead complex root cause analysis for critical system issues and make independent decisions on data architecture that impact division-wide analytics capabilities.
- Develop Advanced Analytics and Visualizations: Lead the design, configuration, creation, and maintenance of dashboards, reports, and data visualizations using business intelligence tools such as Tableau, Power BI (Python/DAX), Power Platform, and Excel to support operational needs and develop solutions of moderate to high complexity.
- Ensure Data Quality and Integrity: Conduct regular data quality assessments to verify and validate accuracy, completeness, and consistency against source systems and business rules.
- Provide Strategic Consultation: Consult with stakeholders and leadership, gather business requirements, identify key metrics to support initiatives, and drive process improvement with data-driven solutions and strategic recommendations while effectively communicating insights to non-technical audiences.
- Create Documentation and Standards: Create process documentation and best practices for related to data products.
- Serve as Subject Matter Expert: Represent the division as a subject matter expert in system-wide communities of interest, lead evaluation and recommendation of emerging technologies for adoption, and serve as the primary liaison for enterprise data initiatives and solutions including IWMS.
- Mentor Team Members: Provide technical mentorship and guidance to junior analysts, review work products, and assist with training as needed.
Requirements and Qualifications
Education:
- Bachelor’s degree in business, Data Analytics/Science, or related field
Experience:
- 5+ years of professional work experience with at least 3+ years of data analytics experience
- Demonstrated experience with complex data architecture, advanced analytics methodologies, and stakeholder consultation at senior leadership levels
- Experience mentoring or leading junior analysts preferred
- Experience writing training materials, creating best practices and training Users
Technical Skills:
- Expert-level proficiency in Advanced Excel, Tableau, and Power Platform (Power BI, Power Apps, Power Automate)
- Experience with SharePoint and data integration across multiple platforms
- Proficiency in data extraction, transformation, and designing dataflows suitable for querying multiple data formats and databases (Power Query)
- Experience with Python/DAX for advanced analytics
Preferred:
- Certification in relevant BI tools (Tableau Desktop Specialist, Microsoft Power BI certification)
- Facilities and workplace operations background
- Experience with IBM TRIRIGA or related enterprise resource planning solutions
Total Rewards
Bring your passion and expertise, and we'll provide the opportunities to challenge you and propel your growth—along with multiple benefits and perks that support your health, wealth, and life.
In addition to competitive compensation, we offer a comprehensive benefits package all brought together in a flexible work environment where you can find balance:
- Medical (4 options), Prescription, Dental (3 options), and Vision Insurance with no waiting period
- 401k/Thrift Plan with generous employer match
- Employer-funded Pension Plan
- Additional Convenience Benefits, Discounts and More…
- Paid Vacation/Sick Time and Holidays
- Flexible Spending Accounts and Healthcare Spending Accounts
- Life Insurance and Long Term Disability Insurance
- Tuition Reimbursement (undergraduate and graduate)
- Parental Leave
- Free onsite 24/7 Fitness Center including training classes, and locker room / shower facilities
- Onsite Cafeteria and Coffee Shop
At the Federal Reserve Bank of St. Louis, we are committed to a strong and resilient economy for all. We prioritize inclusion and strive to be a workplace where all employees can thrive. Learn more about Bank's culture.
The Federal Reserve Bank of St Louis is an Equal Opportunity Employer.
Full Time / Part Time
Full time
Regular / Temporary
Regular
Job Exempt (Yes / No)
Yes
Job Category
Work Shift
First (United States of America)
The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.
Always verify and apply to jobs on Federal Reserve System Careers or through verified Federal Reserve Bank social media channels.
Privacy Notice
Company
Federal Reserve Bank of St. Louis
The Senior Data Specialist serves as the primary data analytics expert and strategic partner for the Internal Support, Payments and SASTeC (ISPS) Division at the Federal Reserve Bank of St. Louis. This role leads the development and execution of division-wide data strategies, and mentors junior analysts while consulting with senior leadership on complex analytics needs. Working independently with minimal supervision, you will define best practices for data integrity, architect comprehensive analytical solutions that influence strategic decision-making, and drive adoption of a data-driven culture across the division. This position delivers enterprise-level data solutions and translates complex analytical findings into actionable strategic recommendations that impact division-wide objectives and policy decisions.
Key Responsibilities
- System Administration & User Support: Serve as the district’s integrated workplace management system (IWMS) data analytics/administrator. An IWMS is an enterprise software platform designed to manage the entire lifecycle of an organization’s physical facilities and corporate real estate. It consolidates space management, maintenance, leases, capital projects, and sustainability into a single, centralized database to optimize business efficiency and reduce costs.
- Design and Implement Enterprise Data Solutions: Design and configure enterprise-level data integration frameworks across multiple data sources and platforms and establish division-wide standards. Lead complex root cause analysis for critical system issues and make independent decisions on data architecture that impact division-wide analytics capabilities.
- Develop Advanced Analytics and Visualizations: Lead the design, configuration, creation, and maintenance of dashboards, reports, and data visualizations using business intelligence tools such as Tableau, Power BI (Python/DAX), Power Platform, and Excel to support operational needs and develop solutions of moderate to high complexity.
- Ensure Data Quality and Integrity: Conduct regular data quality assessments to verify and validate accuracy, completeness, and consistency against source systems and business rules.
- Provide Strategic Consultation: Consult with stakeholders and leadership, gather business requirements, identify key metrics to support initiatives, and drive process improvement with data-driven solutions and strategic recommendations while effectively communicating insights to non-technical audiences.
- Create Documentation and Standards: Create process documentation and best practices for related to data products.
- Serve as Subject Matter Expert: Represent the division as a subject matter expert in system-wide communities of interest, lead evaluation and recommendation of emerging technologies for adoption, and serve as the primary liaison for enterprise data initiatives and solutions including IWMS.
- Mentor Team Members: Provide technical mentorship and guidance to junior analysts, review work products, and assist with training as needed.
Requirements and Qualifications
Education:
- Bachelor’s degree in business, Data Analytics/Science, or related field
Experience:
- 5+ years of professional work experience with at least 3+ years of data analytics experience
- Demonstrated experience with complex data architecture, advanced analytics methodologies, and stakeholder consultation at senior leadership levels
- Experience mentoring or leading junior analysts preferred
- Experience writing training materials, creating best practices and training Users
Technical Skills:
- Expert-level proficiency in Advanced Excel, Tableau, and Power Platform (Power BI, Power Apps, Power Automate)
- Experience with SharePoint and data integration across multiple platforms
- Proficiency in data extraction, transformation, and designing dataflows suitable for querying multiple data formats and databases (Power Query)
- Experience with Python/DAX for advanced analytics
Preferred:
- Certification in relevant BI tools (Tableau Desktop Specialist, Microsoft Power BI certification)
- Facilities and workplace operations background
- Experience with IBM TRIRIGA or related enterprise resource planning solutions
Total Rewards
Bring your passion and expertise, and we'll provide the opportunities to challenge you and propel your growth—along with multiple benefits and perks that support your health, wealth, and life.
In addition to competitive compensation, we offer a comprehensive benefits package all brought together in a flexible work environment where you can find balance:
- Medical (4 options), Prescription, Dental (3 options), and Vision Insurance with no waiting period
- 401k/Thrift Plan with generous employer match
- Employer-funded Pension Plan
- Additional Convenience Benefits, Discounts and More…
- Paid Vacation/Sick Time and Holidays
- Flexible Spending Accounts and Healthcare Spending Accounts
- Life Insurance and Long Term Disability Insurance
- Tuition Reimbursement (undergraduate and graduate)
- Parental Leave
- Free onsite 24/7 Fitness Center including training classes, and locker room / shower facilities
- Onsite Cafeteria and Coffee Shop
At the Federal Reserve Bank of St. Louis, we are committed to a strong and resilient economy for all. We prioritize inclusion and strive to be a workplace where all employees can thrive. Learn more about Bank's culture.
The Federal Reserve Bank of St Louis is an Equal Opportunity Employer.
Full Time / Part Time
Full time
Regular / Temporary
Regular
Job Exempt (Yes / No)
Yes
Job Category
Work Shift
First (United States of America)
The Federal Reserve Banks are committed to equal employment opportunity for employees and job applicants in compliance with applicable law and to an environment where employees are valued for their differences.
Always verify and apply to jobs on Federal Reserve System Careers or through verified Federal Reserve Bank social media channels.
Privacy Notice
See All 848+ Data Specialist Jobs
Jump back to the full list of openings and apply to any data specialist role that fits.
Find Data Specialist JobsData Specialist Job Market
A snapshot from current openings nationwide, updated as new roles post.
Who's Hiring
- LTIMindtree61
- NTT DATA25
- Amazon20
- Dana-Farber Cancer Institute13
- Google13
Top Industries Hiring
- Technology & Software245
- Education90
- Healthcare & Medical Services88
- Consulting & Professional Services84
- Investment & Asset Management33
What Employers Look For
The qualifications that appear most often in data specialist jobs.
- Proficiency in SQL for querying, cleaning, and transforming large datasets
- Experience with data management or ETL tools such as Informatica, Talend, or SSIS
- Bachelor's degree in information systems, statistics, computer science, or a related field
- Familiarity with data visualization platforms such as Power BI, Tableau, or Looker
- Knowledge of data governance standards, data quality frameworks, or regulatory compliance requirements
- Experience working with CRM, ERP, or industry-specific platforms such as Salesforce or Veeva
Tips for Your Data Specialist Job Search
Tailor your resume to each data type
Data specialist roles differ sharply by domain. A clinical data specialist resume should front-load EDC systems and protocol knowledge, while a business data specialist resume should lead with ETL tools and reporting platforms. Generic resumes get screened out fast.
Show data quality work with real outcomes
Hiring managers scan for candidates who've caught and corrected bad data, not just processed it. Name the validation rules you wrote, the error rates you reduced, or the audits you led. Quantify the downstream impact wherever you can.
Target openings by your strongest tool stack
Search by the tools you know best, SQL, Salesforce, Veeva, Power BI, or Snowflake, rather than title alone. Many data specialist postings are indexed under tool requirements, and applying where you already have proficiency shortens the screening process.
Apply early to roles that fit
Migrate Mate lists data specialist openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare for a technical skills assessment
Most data specialist interviews include a take-home or timed SQL query task, a data-cleaning exercise, or a case study using a messy dataset. Practice writing joins, window functions, and aggregation queries under time pressure before your first round.
Negotiate using scope, not just title
When an offer comes in, ask about data ownership: how many systems you'll manage, whether you'll own the data governance process, and what tooling budget exists. These scope details affect your growth and leverage in future negotiations more than title alone.
Data Specialist Jobs: Frequently Asked Questions
Which companies are hiring the most data specialists?
The companies hiring the most data specialists right now include LTIMindtree, NTT DATA, and Amazon, with the largest share of openings in Texas, California, and Florida, based on current listings on Migrate Mate as of June 2026. Demand is strongest in healthcare systems, financial services firms, and large retail and logistics companies.
How many data specialist jobs are remote?
About 28% of data specialist openings are fully remote or hybrid as of June 2026, making it one of the more flexible roles in the data field. Positions focused on business intelligence reporting and data quality analysis tend to be the most remote-friendly, while roles tied to regulated data systems or on-site clinical operations are more likely to require in-person work.
How do you become a data specialist?
Start by building proficiency in SQL and at least one data management or transformation tool, since those appear in nearly every job posting. A degree in information systems, statistics, or a related field helps, but employers also respond to demonstrated project experience. Build a portfolio of real data cleaning or analysis work, earn a relevant certification in data management or a platform like Salesforce or Snowflake, then apply to entry-level or associate data roles to gain domain-specific experience.
Can you get a data specialist job with little or no experience?
Yes, entry-level data specialist roles exist and often prioritize SQL skills and attention to detail over years of experience. Focus on completing a self-directed project that shows you can ingest, clean, and document a real dataset. Roles with titles like data associate, data coordinator, or junior data analyst are common entry points that lead directly into data specialist positions after one to two years.
What does the data specialist interview process look like?
Most data specialist interviews follow three to four stages. A recruiter screen comes first, covering your background and tool experience. A technical round typically involves a SQL exercise, a data-cleaning scenario, or a take-home dataset task. A hiring manager interview focuses on your past data projects and how you handle data quality issues. Some employers add a final panel or stakeholder conversation before extending an offer.
Where can I find and apply to data specialist jobs?
You can find and apply to data specialist jobs on Migrate Mate, which lists current openings from across the United States. Search for roles that match your tool stack, domain experience, and preferred location or remote arrangement, then apply directly to each listing that fits.
See All 848+ Data Specialist Jobs
Jump back to the full list of openings and apply to any data specialist role that fits.
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