

MTK Technologies
Business Data Analyst (W2 Only) || Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Business Data Analyst (W2 Only) for a remote, USA-based contract lasting unspecified duration, offering competitive pay. Key requirements include a Bachelor’s degree, 5+ years in data analytics, proficiency in SQL, and familiarity with AI/ML concepts.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
January 10, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
W2 Contractor
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#AI (Artificial Intelligence) #ML (Machine Learning) #Cloud #Tableau #Data Mapping #Computer Science #Datasets #Model Validation #Data Pipeline #Jira #Data Quality #BI (Business Intelligence) #Data Engineering #Snowflake #Business Analysis #Documentation #Visualization #Collibra #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Data Governance #AWS (Amazon Web Services) #Automation #Scala #Data Analysis #Stories
Role description
BA / PM (Data Analytics)
Location: Remote (USA)
W2 contract only
Position summary
The Business Analyst (BA) for the Data Analytics team will play a critical role in bridging business needs and technical execution across data, analytics, and Cloud data projects. This role involves gathering and refining requirements, mapping business workflows, identifying automation opportunities, enabling data-driven decision-making, and supporting delivery teams through clear documentation and alignment with stakeholders.
Key Responsibilities:
Business &; Functional Analysis
· Collaborate with business stakeholders to understand goals, challenges, data, and workflow optimization needs related to analytics and AI initiatives.
· Translate business objectives into detailed functional and non-functional requirements.
· Document current-state and future-state business processes, identifying gaps and opportunities for automation or AI-driven optimization.
· Support data governance and data quality initiatives by defining business rules and validation logic.
Data & Analytics Support
· Partner with data engineers, and analysts to define data requirements and ensure availability of high-quality datasets for AI and analytics use cases.
· Define KPIs, metrics, and success measures for analytics and AI solutions.
· Support data & model validation and testing processes by aligning technical outputs with business expectations.
· Assist in the development of data mapping, dashboards, reports, and visualizations for business insights.
Project Execution & Delivery
· Maintain clear documentation — including requirements, user stories, acceptance criteria, data dictionaries, and workflow diagrams.
· Collaborate closely with product managers and technical leads to prioritizing work and managing delivery timelines.
· Support PoCs and pilots for new AI and data capabilities, including workflow documentation and impact assessment.
· Facilitate meetings, stand-ups, and stakeholder reviews to ensure clarity and alignment.
Continuous Improvement
· Identify process improvement opportunities enabled by data or AI technologies.
· Support change management and communication for new data/AI solutions across business units.
· Stay curious and current with industry trends and best practices in data analytics, AI, and automation.
Required Skills:
· Strong analytical &; critical thinking skills, with the ability to clearly articulate
problems and support designing scalable solutions for complex business needs.
· Willingness to learn new things and adapt quickly to a team and enterprise undergoing positive transformation and growth
· Ability to foster a sense of purpose among the team and create a culture of transparency with clear accountabilities and metrics
· Demonstrated ability to foster a culture of innovation and a high-agency mindset
· Excellent communication and collaboration skills, with the ability to work across teams and with business stakeholders.
Qualifications:
· Bachelor’s degree in business, Information Systems, Computer Science, or related field.
· 5+ years of experience as a Business Analyst, preferably within data, analytics, or AI-driven initiatives.
· Strong understanding of data platforms, ETL/data pipelines, data warehousing, AI and BI tools.
· Experience collaborating with cross-functional engineering and business teams.
· Familiarity with AI/ML concepts, cloud platforms (e.g., AWS), and data & AI governance practices.
· Excellent communication, analytical thinking, and stakeholder management skills.
· Proficiency in tools such as JIRA, Confluence, Tableau, Snowflake, Collibra, and SQL (for data validation preferred).
BA / PM (Data Analytics)
Location: Remote (USA)
W2 contract only
Position summary
The Business Analyst (BA) for the Data Analytics team will play a critical role in bridging business needs and technical execution across data, analytics, and Cloud data projects. This role involves gathering and refining requirements, mapping business workflows, identifying automation opportunities, enabling data-driven decision-making, and supporting delivery teams through clear documentation and alignment with stakeholders.
Key Responsibilities:
Business &; Functional Analysis
· Collaborate with business stakeholders to understand goals, challenges, data, and workflow optimization needs related to analytics and AI initiatives.
· Translate business objectives into detailed functional and non-functional requirements.
· Document current-state and future-state business processes, identifying gaps and opportunities for automation or AI-driven optimization.
· Support data governance and data quality initiatives by defining business rules and validation logic.
Data & Analytics Support
· Partner with data engineers, and analysts to define data requirements and ensure availability of high-quality datasets for AI and analytics use cases.
· Define KPIs, metrics, and success measures for analytics and AI solutions.
· Support data & model validation and testing processes by aligning technical outputs with business expectations.
· Assist in the development of data mapping, dashboards, reports, and visualizations for business insights.
Project Execution & Delivery
· Maintain clear documentation — including requirements, user stories, acceptance criteria, data dictionaries, and workflow diagrams.
· Collaborate closely with product managers and technical leads to prioritizing work and managing delivery timelines.
· Support PoCs and pilots for new AI and data capabilities, including workflow documentation and impact assessment.
· Facilitate meetings, stand-ups, and stakeholder reviews to ensure clarity and alignment.
Continuous Improvement
· Identify process improvement opportunities enabled by data or AI technologies.
· Support change management and communication for new data/AI solutions across business units.
· Stay curious and current with industry trends and best practices in data analytics, AI, and automation.
Required Skills:
· Strong analytical &; critical thinking skills, with the ability to clearly articulate
problems and support designing scalable solutions for complex business needs.
· Willingness to learn new things and adapt quickly to a team and enterprise undergoing positive transformation and growth
· Ability to foster a sense of purpose among the team and create a culture of transparency with clear accountabilities and metrics
· Demonstrated ability to foster a culture of innovation and a high-agency mindset
· Excellent communication and collaboration skills, with the ability to work across teams and with business stakeholders.
Qualifications:
· Bachelor’s degree in business, Information Systems, Computer Science, or related field.
· 5+ years of experience as a Business Analyst, preferably within data, analytics, or AI-driven initiatives.
· Strong understanding of data platforms, ETL/data pipelines, data warehousing, AI and BI tools.
· Experience collaborating with cross-functional engineering and business teams.
· Familiarity with AI/ML concepts, cloud platforms (e.g., AWS), and data & AI governance practices.
· Excellent communication, analytical thinking, and stakeholder management skills.
· Proficiency in tools such as JIRA, Confluence, Tableau, Snowflake, Collibra, and SQL (for data validation preferred).






