Data Analytics Developer Jobs
Data Analytics Developer jobs are open across technology, finance, healthcare, and retail, from junior analyst to senior and principal levels, with specializations in business intelligence, data pipeline engineering, and predictive modeling. Scan the live roles below and apply to whichever ones fit.
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Job Family:
Data Science Consulting
Travel Required:
Clearance Required:
What You Will Do:
Our consultants on the AI & Data team help clients maximize the value of their data and automate business processes. This high performing team works with clients to implement the full spectrum of data analytics and data science, from data querying and wrangling to data engineering, to data visualization, dashboarding, and business intelligence (BI), to predictive analytics. Our services enable our clients to define their information strategy, enable mission critical insights and data-driven decision making, reduce cost and complexity, increase trust, and improve budget justifications and decision-making. This individual will support organizational and mission goals within the Federal Government. This role requires hands-on technical expertise and strong communication skills. Responsibilities include, but are not limited to:
Design and development of data visualization and dashboard solutions to provide required analytics insights using Tableau.
Leading and reviewing data cleaning scripts using tools such as Databricks, SQL, and Python.
Maintain and enhance dashboards, analytics solutions, and reporting tools used in operational and strategic decision-making.
Identify opportunities for workflow optimization, automation, and improved data handling, and contribute to implementation efforts.
- Partner with stakeholders to define and deliver AI/analytics use cases, translating business needs into scalable data science solutions.
Focus on client services, while also supporting business development, internal firm initiatives, and ongoing professional development.
Support business development (such as RFP, RFQ, and RFI responses and white papers), internal firm initiatives, and ongoing professional development.
What You Will Need:
Must be able to OBTAIN and MAINTAIN a Federal or DoD "PUBLIC TRUST"
A Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related STEM field is required
ONE (1) or more year of experience in business analytics, data analysis, data engineer, data visualization or data science
What Would Be Nice To Have:
Strong communication and presentation skills and ability to explain technical topics to non-technical audiences.
Ability to gather requirements and present to clients with strong written and verbal communication skills.
Familiarity with dashboard tools such as Tableau or Power BI.
Familiarity with cloud-based analytics environments (such as Databricks, Snowflake, or Impala).
Experience performing analytics and data transformation using SQL, Python, and R.
Knowledge of ETL processes and tools for data integration.
#LI-DNI
The annual salary range for this position is $98,000.00-$163,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
What We Offer:
Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.
Benefits include:
Medical, Rx, Dental & Vision Insurance
Personal and Family Sick Time & Company Paid Holidays
Position may be eligible for a discretionary variable incentive bonus
Parental Leave and Adoption Assistance
401(k) Retirement Plan
Basic Life & Supplemental Life
Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
Short-Term & Long-Term Disability
Student Loan PayDown
Tuition Reimbursement, Personal Development & Learning Opportunities
Skills Development & Certifications
Employee Referral Program
Corporate Sponsored Events & Community Outreach
Emergency Back-Up Childcare Program
Mobility Stipend
About Guidehouse
Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.
Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.
If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.
All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.
If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties.
Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.
Data Analytics Developer Jobs by Experience Level
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Find Data Analytics Developer JobsData Analytics Developer Job Market
Who's Hiring


Top Industries Hiring
- Technology & Software
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in data analytics developer jobs.
- Proficiency in SQL for querying, transforming, and modeling large datasets
- Experience with at least one BI tool such as Tableau, Power BI, or Looker
- Hands-on work with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Familiarity with Python or R for data manipulation and analysis workflows
- Experience building or maintaining ETL and ELT data pipelines
- Bachelor's degree in computer science, statistics, information systems, or a related field
Tips for Your Data Analytics Developer Job Search
Tailor your resume to the stack
Data analytics developer job listings name specific tools, so mirror their exact language. If a posting says dbt, Snowflake, and Airflow, those words need to appear in your resume where you actually used them, not buried under generic 'data engineering' phrasing.
Show work through a public portfolio
Hiring managers for analytics developer roles want to see SQL queries, pipeline code, or dashboard builds, not just bullet points. Push at least two end-to-end projects to a public repository so reviewers can read your actual logic and data modeling decisions.
Apply early to roles that fit
Migrate Mate lists data analytics developer openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Filter by data platform, not just title
Many data analytics developer postings use different titles, such as analytics engineer or BI developer, depending on the company. Search by tool or platform name alongside the role to surface postings your title-only search would miss.
Prepare a technical case study walkthrough
Most data analytics developer interviews include a take-home or live case. Practice narrating your decision-making out loud: why you chose a particular grain for a fact table, how you handled nulls, or what tradeoffs you made in a reporting schema.
Negotiate scope alongside compensation
Data analytics developers often have room to negotiate tool access, data ownership, and cross-team exposure, not just pay. Clarify during offer discussions which data domains you'll own and whether the role feeds into product or stays in reporting.
Data Analytics Developer Jobs: Frequently Asked Questions
Which companies are hiring the most data analytics developers?
The most active employers for data analytics developers right now are Guidehouse, KeyBank, and Wet Coast Logistics, and the most openings are in Alabama, Maryland, and Illinois, based on current listings on Migrate Mate as of November 2026. Demand is especially concentrated in technology, financial services, and healthcare organizations that are scaling their data infrastructure.
How many data analytics developer jobs are remote?
About 73% of data analytics developer openings are fully remote or hybrid as of November 2026, reflecting strong remote flexibility across the field. Roles focused on BI development and analytics engineering tend to be the most remote-friendly, while positions requiring close collaboration with on-site data infrastructure teams more often require in-office presence.
How do you become a data analytics developer?
Start by building a solid foundation in SQL and at least one scripting language such as Python. Learn a modern data warehouse platform and practice building end-to-end pipelines on public datasets. Earn a relevant certification in a BI tool or cloud platform, then publish portfolio projects that demonstrate your ability to transform raw data into decision-ready outputs before applying to junior roles.
Can you get a data analytics developer job with little experience?
Yes, employers do hire data analytics developers who are early in their careers, particularly when candidates show strong SQL fundamentals, a clean portfolio, and working knowledge of at least one BI or pipeline tool. Focus on completing a capstone project that mirrors a real business problem, contributing to open-source analytics repositories, and targeting companies that explicitly list entry-level or associate-level data roles.
What does the data analytics developer interview process look like?
Most processes start with a recruiter screen, then a technical phone or video interview covering SQL, data modeling concepts, and your past project work. A take-home assignment or live coding exercise typically follows, where you're asked to clean a dataset, write transformation logic, or build a sample dashboard. Final rounds usually involve a panel reviewing your technical decisions and your ability to communicate findings to non-technical stakeholders.
Where can I find and apply to data analytics developer jobs?
You can find and apply to data analytics developer jobs on Migrate Mate, which lists current openings from companies across the United States. Search the roles available, find the ones that match your skills and experience level, and apply directly to each listing that fits.
See All 26 Data Analytics Developer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Data Analytics Developer Jobs